BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Exchange team is responsible for everything to do with the trading backend services such as the matching engine, market data gateways, internal and external APIs, margin systems and various other trading services. The team is located globally and responsibilities are split into sub-teams, working with various tech stacks. Our teams code in C++, Go, Rust, and Python, depending on the product they are contributing to within Kraken and work agile around the globe. Recently, the Trading Technologies team played a critical role in scaling Kraken's trading infrastructure. THE OPPORTUNITY - Lead and grow a team of 8-10 engineers owning core trading backend services, including the matching engine, market data gateways, and order entry systems - Guide the team through the ongoing evolution of our trading stack, from legacy systems to their modern replacements - Stay technically close enough to the stack to unblock, review, and contribute to architecture discussions across matching engine, market data, and order entry work with ability to jump in and assist with coding - Champion performance and market data work as top priorities, while also supporting the team's broader technical scope - Bring AI-assisted engineering practices into the team's workflow and help engineers adopt them - Partner cross-functionally with product and other engineering pods to drive roadmap execution - Represent the team technically with peer teams and stakeholders, communicating tradeoffs and progress clearly WHAT YOU BRING - Experience managing engineering teams, with a preference for managers who stay technically engaged rather than purely administrative - Prior hands-on experience in at least one of the following using Linux: distributed and/or highly-concurrent systems; low-latency and/or high-volume transaction environments - Proficiency in Rust and/or C++; comfort operating in a team split across C++, Rust, Go, and Python - Demonstrated knowledge of order types, trading systems, and financial products - Experience with Aeron or similar messaging/transport systems a strong plus - Comfort with multicast-based market data distribution a plus - Cryptocurrency/blockchain familiarity highly preferable - Proactive mindset with the ability to prioritize across a technically deep team and adhere to aggressive deadlines - BS in a technical or quantitative field Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter Learn on the Kraken Blog Connect on LinkedIn Candidate Privacy Notice

BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. Before you apply, we encourage you to explore our culture page to understand what drives us and how we work. THE TEAM You’ll join a senior team of DBAs and SREs responsible for the database platform that underpins many of Kraken’s most critical services. This group combines deep operational expertise with a platform mindset, designing systems that allow engineering teams to innovate quickly while maintaining strong guarantees around performance, security, and reliability. The team is entering an exciting phase of evolution as Kraken continues to expand globally. Over the next year, we are focused on strengthening our operational excellence, evolving our database environments to support significant future scale, and increasing automation and self-service so that database operations become more efficient, at scale. This is not a traditional “keep the lights on” DBA team. Our work centers on scaling distributed MariaDB environments, shaping reliable patterns for high-traffic systems, and transforming operational knowledge into automated, auditable workflows that uplift the entire engineering organization. It’s a collaborative, high-ownership environment where clarity, rigor, and continuous improvement are part of how we operate. If you enjoy building robust distributed systems and designing platforms that make engineering teams faster and safer by default, you’ll find a strong home here. THE OPPORTUNITY - Scale and tune high-throughput MariaDB clusters to support continued global expansion and new product initiatives. - Strengthen high-availability, disaster-recovery, and backup approaches through sound design and regularly validated procedures. - Reduce manual operational work by building automation, improving process consistency, and enabling safe, low-friction database workflows. - Improve observability and alert quality by championing meaningful metrics, reducing noise, and ensuring operational clarity across environments. - Enhance database security through robust access controls, disciplined patching and upgrade practices, and secure operational patterns. - Contribute to modern platform initiatives, including containerized environments, infrastructure-as-code workflows, and reproducible deployments. - Partner with service teams to drive better performance patterns, operational readiness, and database hygiene across the engineering organization. - Participate in our on-call rotations with a long-term focus on making on-call predictable, informed by high-quality signal and preventative engineering. WHAT YOU BRING - 5+ years operating MariaDB/MySQL in high-volume production environments, including tuning, replication, and troubleshooting. - Strong understanding of high-availability patterns, distributed database behavior, and practical failure scenarios. - Hands-on experience with database proxies or load-balancing layers (HAProxy, ProxySQL, MaxScale, or similar). - Practical experience with CI/CD, GitOps, and Infrastructure-as-Code workflows (Terraform experience ideal). - Solid cloud, Linux, and networking fundamentals. - Experience with containers and orchestration platforms (building container images and managing Kubernetes workloads at scale). - Strong security instincts around access control, upgrade processes, and safe operational workflows. - Observability expertise: monitoring, alerting hygiene, and readiness for incident response. - Strong communication and collaboration skills with the ability to partner with stakeholders, negotiate long-term plans, write formal documentation and tie success to specific metrics and KPIs. NICE TO HAVES - Experience with SRE methodologies such as error budgets, operational reviews, or reliability programs. - Strong scripting or programming ability (Python or Rust preferred) used to build automation and internal tools. - Hands-on experience with GitOps tooling (ArgoCD, GitHub Actions, GitLab CI). - Exposure to multi-region or disaster-recovery designs. - Interest in cryptocurrency or decentralized systems. Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter Learn on the Kraken Blog Connect on LinkedIn Candidate Privacy Notice

Technical Services has nearly 500 global team members in offices spanning the entire globe. The team has offices in New York City, Toronto, Austin, Palo Alto, Vancouver, Sydney, Gurgaon (India), Tel Aviv, Dublin, and Buenos Aires. Outstanding customer satisfaction is achieved utilizing a 24x7x365 ‘follow-the-sun’ support model with regional teams covering the Americas, EMEA, and APAC regions.

We have an incredible opportunity for a transformational leader to join MongoDB’s Technical Services team and lead a regional team of MongoDB Support Engineers. This leader will build and develop an AI-native Technical Services team, enabling engineers to support MongoDB’s growing portfolio while embedding AI tools, workflows, and capabilities into daily operations. By combining deep technical expertise with innovative ways of working, the team will improve engineer effectiveness, scale customer support, and drive successful customer outcomes.

As a key local representative of Technical Services (TS), this manager will play a central role in establishing and scaling MongoDB’s TS presence in the region. They will partner closely with regional stakeholders, help recruit and develop local talent, and build toward a full, high-performing Technical Services team.

We are looking to speak to candidates who are based in Mexico City for our hybrid working model.

Typical responsibilities of the team include:

• Diagnosing and resolving performance related issues, leading structured investigations, root-cause analysis, and recovery efforts across multiple technical layers
• Advising on design and architecture including global distribution and replication of data to support high availability, low latency and meeting data sovereignty requirements
• Owning complex and high-impact customer investigations involving AI applications and agentic workflows
• Advising on upcoming roadmap features and advocating for the customer in articulating business cases to drive issue resolution
• Creating and improving troubleshooting methodologies, knowledge articles, diagnostic scripts, and reusable runbooks
• Globally collaborating with peer teams to provide seamless and efficient regional handovers of follow-the-sun issues
• Continuously learning and growing skills via participation in training, maintaining industry awareness and development of training to share subject matter expertise more broadly across the team
• Increasing case-deflection numbers by contributing to knowledge-base, distributing knowledge to peers and the general MongoDB community
• Reviewing recurring issues and identifying opportunities to improve support processes, tooling, and customer self-service
• Working on named accounts to build rapport and an in-depth understanding of customer architecture and environment(s) while encouraging expansion of use
• Contributing to the broader MongoDB database and cloud support cases when needed

Our customers are the best and brightest in the business and they have great expectations of our products and our company. If you are the type of person who enjoys helping customers, managing complex, fast-moving situations and leading/managing a talented group of individuals who continuously delight our customers, then this role is for you!

Candidate Profile

Required

• A minimum of five(5) years practical experience running a technical support team or organization, including experience coordinating high profile customer escalations, collaborating with other internal engineering departments, and working closely with sales teams
• Strong people management skills with a track record of building and managing individuals with a strong focus on customer experience and technical excellence
• Ability to rapidly adopt new technologies and to deploy them in a team environment
• Ability to think on your feet, remain calm under pressure, and solve problems in real-time
• Ability to lead-by-example with strong diagnostic and troubleshooting skills
• Ability to understand customer business drivers and use cases
• A customer advocate who can mitigate and drive issues as appropriate
• Is comfortable engaging in hiring decisions, performance management, translating company and the organization’s goals down to team and individual levels
• Ability to articulate and calibrate communication style based on audience, from highly technical to ‘executive'

Desirable

• Prior work at a database company, specifically in the NoSQL space, or a similar highly concurrent distributed system used in production architectures
• Born-in-the-cloud SaaS experience. IaaS or PaaS highly desirable
• Experience developing KPI’s viewable in management dashboards and scorecards using analytical tools like Tableau
• Experience applying AI in technical support and/or engineering environments, with the ability to lead adoption of AI-native ways of working across the team

Success Measures

Within 30 days

• Complete MongoDB’s new hire technical training program; be able to speak confidently about our total portfolio of products
• Be able to navigate and articulate our core products at a beginner level
• Build initial rapport with the team and gain their trust

Within 60 days

• Understand our global follow-the-sun processes and escalation processes
• Have formed relationships with escalation managers, CSMs, sales, field and engineering stakeholders
• Have begun conducting regular 1 on1’s with staff as well as other managers within Technical Services

Within 90 days

• Take assignment of and drive five (5) cases to closure to help learn our internal processes
• Provide a roadmap for personal growth in the role and justify the order and prioritization
• Have identified areas of efficiency for the team to scale
• Can assist with regional escalations and RCA’s when needed
• Keep leadership apprised of potentially hot issues and heads-up information related to the team

At 120 days and onward

• Produce a roadmap and review with your manager detailing how you will scale your technical knowledge in the product commensurate with role needs
• Have an approved plan to globally drive improvement in an area of process or tooling efficiency
• Conduct three (3) face-to-face interactions with marquee customers, either in-person or virtually
• Produce growth plans for the team
• Demonstrate the understanding of the short and long term goals of the Technical Services team and how your team is working toward those objectives

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

REQ ID: 2273509041

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations" Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

About the role:

Samsara is looking for a detail-oriented and motivated Sales Process Coordinator to support our sales operations team in executing repetitive and high-volume sales processes with accuracy and speed. This role is ideal for someone early in their career who thrives in structured environments and is eager to learn about sales operations in a high-growth tech company. You’ll be responsible for ensuring accuracy in data entry, validation of basic contract requirements, and supporting internal teams with operational requests.

This is a remote position open to candidates based in Mexico. Relocation assistance will not be provided for this role.

You should apply if:

• You’re reliable, detail-oriented, and value consistency and accuracy.
• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You’re excited to build a career in operations and want to learn how a fast-growing company runs.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You enjoy solving problems and following clear processes.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best.
• You thrive in a team environment and take pride in helping others succeed.

In this role, you will:

• Perform data entry and validation tasks for sales requests and documentation.
• Support ticket intake, triage, and process routing.
• Partner with internal stakeholders to ensure required documentation is complete.
• Ensure contract and system data is updated correctly in Salesforce and related tools.
• Maintain accurate records for audit and compliance purposes.
• Escalate process exceptions or errors as needed.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team).

Minimum requirements for the role:

• Less than 1 year of experience in a support, operations, or administrative role.
• High attention to detail and strong organizational skills.
• Effective communication skills in both English and Spanish.
• Comfortable working in a fast-paced, repetitive task environment.
• Basic experience using tools like Google Sheets or Excel.
• Interest in learning Salesforce or other CRM systems.

An ideal candidate also has:

• Experience working with cross-functional teams or in a remote setting.
• Prior experience with ticketing tools such as Zendesk.

Total Rewards

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

Belonging at Samsara

At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

Accommodations

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email [accessibleinterviewing@samsara.com](mailto:accessibleinterviewing@samsara.com) or click here if you require any reasonable accommodations throughout the recruiting process.

Our Commitment to Authenticity

We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.

Fraudulent Employment Offers

Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics.



As a Product Specialist - Gen AI (Sr. Specialist Solutions Architect) you will be a deep technical expert in Gen AI and Machine Learning and in how customers can be successful with these use-cases in the Lakehouse paradigm. You will work closely with both Product Management and the EMEA Field Engineering and Sales teams to act as the technical bridge between these critical organisations to help make the Data Intelligence Platform vision a reality for our customers. You will provide thought leadership on best practices around how to build and deploy agentic AI systems with Databricks. You will work closely with the Databricks Product Management team to drive adoption of Gen AI features and ensure a consistent product vision for the EMEA technical field. You will work closely with specific accounts on our most challenging Gen AI use-cases around reinforcement learning and fine-tuning in particular.



You will report directly to the Sr. Director Product Specialists Databricks Field Engineering and can be located in Paris or Amsterdam. Databricks Field Engineering works with our current and future customers to grow adoption, win technical validations and advise customers on Gen AI best practices. The Product Specialist - Gen AI owns the enablement and escalations within the EMEA Field Engineering team around relevant features.



The impact you will have:

• Deliver thought leadership in Gen AI best practices for the Databricks Data Intelligence Platform in the form of blogs, webinars, how to guides and technical know-how to the EMEA technical community and beyond.
• Working with sales and FE leaders drive adoption of Gen AI across EMEA
• Provide a strong, informed, and data-driven perspective in conversations with the Product and Engineering teams to influence our product strategy and priorities in how customers can and should bring Databricks into their Data strategies.
• Provide guidance and oversight for large-scale enterprise Gen AI competitive scenarios, serving as a trusted technical advisor to senior tech leads and executives
• Work closely with key customers on specific Gen AI use-cases helping translate research innovations into production grade AI applications

What we look for:

• Experience designing and delivering production-grade Generative AI and Deep Learning solutions in customer or enterprise environments
• Strong hands-on experience with LLMs and modern Deep Learning: Transformer architectures, PyTorch, and distributed/multi-GPU training
• Hands-on experience taking LLM post-training beyond fine-tuning: SFT plus reinforcement learning–based methods — reward modeling, RLHF/RLAIF, or policy optimization (e.g., PPO, GRPO) — applied to steer models toward specific behaviors and quality criteria
• Ability to advise customers on GenAI and Deep Learning architectures, translate requirements into technical solutions, and anticipate and remove implementation blockers
• Strong hands-on experience with Python, SQL, Apache Spark, cloud platforms, and Lakehouse architectures; excellent communication skills and customer-facing/pre-sales experience are highly desirable.
• Excellent communication skills; both written and verbal
• Experience in pre-sales selling highly desired

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics.



As a Product Specialist - Gen AI (Sr. Specialist Solutions Architect) you will be a deep technical expert in Gen AI and Machine Learning and in how customers can be successful with these use-cases in the Lakehouse paradigm. You will work closely with both Product Management and the EMEA Field Engineering and Sales teams to act as the technical bridge between these critical organisations to help make the Data Intelligence Platform vision a reality for our customers. You will provide thought leadership on best practices around how to build and deploy agentic AI systems with Databricks. You will work closely with the Databricks Product Management team to drive adoption of Gen AI features and ensure a consistent product vision for the EMEA technical field. You will work closely with specific accounts on our most challenging Gen AI use-cases around reinforcement learning and fine-tuning in particular.



You will report directly to the Sr. Director Product Specialists Databricks Field Engineering and can be located in Paris or Amsterdam. Databricks Field Engineering works with our current and future customers to grow adoption, win technical validations and advise customers on Gen AI best practices. The Product Specialist - Gen AI owns the enablement and escalations within the EMEA Field Engineering team around relevant features.



The impact you will have:

• Deliver thought leadership in Gen AI best practices for the Databricks Data Intelligence Platform in the form of blogs, webinars, how to guides and technical know-how to the EMEA technical community and beyond.
• Working with sales and FE leaders drive adoption of Gen AI across EMEA
• Provide a strong, informed, and data-driven perspective in conversations with the Product and Engineering teams to influence our product strategy and priorities in how customers can and should bring Databricks into their Data strategies.
• Provide guidance and oversight for large-scale enterprise Gen AI competitive scenarios, serving as a trusted technical advisor to senior tech leads and executives
• Work closely with key customers on specific Gen AI use-cases helping translate research innovations into production grade AI applications

What we look for:

• Experience designing and delivering production-grade Generative AI and Deep Learning solutions in customer or enterprise environments
• Strong hands-on experience with LLMs and modern Deep Learning: Transformer architectures, PyTorch, and distributed/multi-GPU training
• Hands-on experience taking LLM post-training beyond fine-tuning: SFT plus reinforcement learning–based methods — reward modeling, RLHF/RLAIF, or policy optimization (e.g., PPO, GRPO) — applied to steer models toward specific behaviors and quality criteria
• Ability to advise customers on GenAI and Deep Learning architectures, translate requirements into technical solutions, and anticipate and remove implementation blockers
• Strong hands-on experience with Python, SQL, Apache Spark, cloud platforms, and Lakehouse architectures; excellent communication skills and customer-facing/pre-sales experience are highly desirable.
• Excellent communication skills; both written and verbal
• Experience in pre-sales selling highly desired

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

FOUNDING FORWARD DEPLOYED ENGINEER What we're looking for: • Individuals with impressive achievements and great technical skills, highly proficient in Python . • Around 3 years of experience in AI with the ability to act autonomously and demonstrate real curiosity for AI. • Customer-facing experience and comfortable working alongside a customer. • Excellent communication skills. About H: H Company is a next-generation AI research and product company pioneering the future of autonomous, agentic AI. Founded to build intelligence that acts, H Company is creating the foundational infrastructure for autonomous AI systems that drive real-world outcomes across industries. About the Team: The Forward Deployed Team is committed to ensuring the successful implementation of our Agents to help our customer automate and optimize tasks, and allow them to focus on what really matters. The team is also responsible to shape the future vision of our products by distilling learnings from the field into the H platform. That platform empowers a wide range of professionals and businesses to safely, easily and autonomously deploy agents at scale for a broad range of tasks: from ensuring websites behave as expected to automating repeated tasks. Key Responsibilities: Understand and identify customer’s most important and impactful multi-step task to automate Seamlessly integrate with customer systems, including but not limited to databases, third-party APIs, and internal tools, etc. Rapidly iterate in the field with tight feedback loops to continuously improve product fit and drive end-to-end solution delivery Architect, build, and maintain production-grade services that scale with usage and complexity Collaborate closely with product, research, and engineering teams to shape the roadmap and align on priorities based on findings in the field Requirements: 3+ years of professional AI + software engineering experience, ideally in fast-paced environments ., startups, consulting, or product teams), or otherwise proven technical acumen through projects and past experiences Experience working with AI/ML systems, especially integrating LLMs or other agentic workflows into real products Heavy fluency in Python and familiarity with Typescript Familiarity with backend (FastAPI, …) and frontend (React…) frameworks and a good sense of UI/UX tradeoffs Experience building and deploying production systems: APIs, services, infrastructure, and/or data pipelines Proficiency in integrating third-party APIs, databases, and external systems in a secure and reliable way Strong problem-solving skills and ability to thrive in ambiguous, customer-facing environments Excellent communication skills, both written and verbal Bias for action: able to ship quickly, iterate fast, and own the full lifecycle of solutions Willingness to travel for on-site deployments or customer engagements Location: H's teams are distributed throughout Paris, France, London, UK, and the US. This role can be based either in SF/Bay area-CA, Austin-TX, or NY. What we offer: Be part of the founding journey of one of the most exciting AI startups shaping the future of AI and agentic systems. Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI engineers, researchers, and builders in a high-trust, high-impact environment. Enjoy a competitive compensation package, including equity.

The Role

As a Sr. Solutions Engineer, you will independently lead technical engagements for customers, owning discovery, solution design, and platform demonstrations. You are a builder who can code, architect, and present—combining technical depth with customer-facing skills to drive Databricks adoption. You will own frontline customer relationships and work with your Account Executive to develop technical strategies that expand platform usage.

The Impact You Will Have

• Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning
• Build and deliver compelling proofs-of-concept and live demos on the Databricks Platform that drive technical wins
• Own frontline technical relationships with customer engineers, data teams, and technical leads
• Develop account-level technical strategies in partnership with your Account Executive to grow platform consumption
• Navigate competitive landscapes by articulating Databricks differentiation through hands-on demonstrations
• Contribute reusable technical assets (notebooks, solution accelerators, reference architectures) to the broader SA community

What We Look For

• 4+ years in data engineering, solutions architecture, technical pre-sales, or a hands-on consulting role
• Proficient in Python and PySpark/Spark with demonstrated ability to debug, optimize, and write production-quality code — live coding is a required interview stage
• Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)
• Working knowledge of distributed data systems: Apache Spark", Delta Lake, or equivalent (Hadoop, Kafka, Flink)
• Experience leading technical customer conversations — discovery, whiteboarding, architecture reviews
• Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics
• Strong presentation and demo skills — you will build and present a live solution during the interview
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice to Have:

• Databricks certification or experience with the Databricks Platform
• Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow
• Background at a data/AI company, cloud provider, or technical consulting firm

Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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The Consulting & Systems Integrator (C&SI) team accelerates Databricks' growth by building and managing relationships with the world's leading data and AI services companies. As Director, EMEA Alliances, you will lead the strategic partnership motion across Databricks' highest-tier named Platinum-tier partners in EMEA - driving partner-impacted consumption ($DBU), partner-sourced pipeline, executive alignment, and joint innovation at scale.

This is a leadership role responsible for the EMEA Global Systems Integration (GSI) portfolio of named Platinum-tier partners. These GSIs are critical for the CXO narrative in EMEA's top strategic accounts — they are the delivery and influence partners that shape executive buying decisions at our largest customers.

You will directly manage the named Platinum partner relationships at the EMEA level and lead a team that includes a direct report managing Gold-tier and priority Silver-tier partners. Together, you will provide end-to-end coverage of Databricks' most impactful partner tiers in EMEA.

You will report to the Vice President, EMEA Alliances.

The impact you will have:

Strategic Partnership Leadership

• Own and drive the EMEA GSI strategy across named Platinum-tier partners, building strategic relationships.
• Engage the C-Suite at each Platinum partner to co-develop the EMEA Strategy and Business Plan, with clear goals for consumption, bookings, certification, and joint innovation.

Forward-Looking Product & Innovation Strategy

• Lead partners through Databricks' next wave of platform innovation — Lakebase (OLTP use cases), Genie & AI/BI (winning business users), Agentic AI, and platform expansion — ensuring GSI partners build practices, solutions, and certified capacity around these strategic priorities.
• Drive joint co-innovation with partners around repeatable IP and Brickbuilder Solutions — activating go-to-market campaigns that position Databricks and partners as the platform of choice for enterprise Data + AI transformation.
• Ensuring partners are building differentiated practices that drive customer adoption of Databricks' newest capabilities.
• Activate partner-led migration motions ( through structured plays and funded programs.

Team Leadership & Operating Model

• Manage a team of EMEA partner managers, including a direct report (Alliance Director) who owns the Gold-tier and Rising Silver partner portfolio — providing coaching, development, and strategic direction.
• Maintain trust and collaboration with the regional leadership and partner sales teams, including clear strategy, planning, and governance of partner plans in the EMEA region.
• Align with regional partner sales leaders to drive growth in sourced and consumption with named partners.

Executive Engagement & Governance

• Create and foster executive-level relationships at all levels within each partnership.
• Establish healthy and sustainable executive cadences with priority partners, including quarterly business reviews, joint planning sessions, and strategic alignment meetings.
• Own the partner-facing governance model that ensures partner-sourced and delivery pipeline is correctly attributed.
• Create a mutually structured plan and track key metrics that address the needs of partners and key cross-fucntional team members.

Enablement & Capacity Building

• Develop a training and enablement strategy with the enablement team resulting in practice growth and knowledge expansion - driving technical certifications, sales badges, and delivery expertise across the GSI portfolio.
• Secure investment and establish programs around repeatable IP and solution investments, resulting in activating go-to-market campaigns.

What we look for:

• Extensive experience in securing and supporting strategic partnerships in EMEA, with progressive leadership experience at a reputable technology organization.
• Track record of success managing a team of alliance professionals - hiring, developing, and leading people to exceed target goals and be their best version of themselves.
• Deep GSI relationship expertise — in-depth understanding of Global SI partner organizations, key stakeholders, overall strategy, company culture, market offerings, and joint value propositions. Experience working with partners such as Accenture, Deloitte, Capgemini, EY or equivalent.
• Executive presence and C-Suite engagement — proven ability to build and maintain trust-based relationships with partner executives at the regional and global level, and to mobilize joint field and partner teams around a shared strategy.
• Deep domain experience in enterprise infrastructure, cloud, data, and AI/analytics space — comfortable in a complex technical environment and able to articulate the value of the Databricks Data Intelligence Platform.
• Partner-sourced pipeline ownership — demonstrated track record of driving measurable partner-sourced and partner-initiated pipeline, not just co-sell support or delivery attachment. Evidence of moving partners from reactive delivery to proactive demand creation.
• Programmatic GTM execution — experience designing and running structured joint campaigns, Big Bet account engagements, and scalable partner-led sales plays that use partners' industry expertise to create repeatability and faster time to value.
• Experience driving results in a hyper-growth, multi-billion-dollar enterprise organization — comfort operating where the operating model is still being built, and contributing to building it.
• AI fluency — actively uses AI tools in daily work to manage, analyze, and scale partner activity. Understanding of the agentic AI landscape and how partners can build differentiated practices around emerging AI capabilities.
• Strong written, verbal, presentation, and organizational skills, with the ability to articulate and evangelize the value of Databricks solutions to partners and customers alike.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? In this role as a founding Solutions Architect for Cohere in the Nordics, you will play an instrumental part in growing Cohere’s business in both the Nordics territory and the wider European region. You will partner with account executives, partners, and our executive leadership team to communicate and demonstrate the value of our technology to the market, and build on the success of our flagship customers, like Saab, TKMS and Thales. SAs at Cohere sit at the cross-section of Forward Deployed Engineering and AI transformation. Our SAs embody the following traits: - Technical experts in the field - Trusted advisors to customers and colleagues - Product evangelists of Cohere technology - Thought leaders in pushing the frontiers of applied AI Responsibilities include developing a deep understanding of customer problems, mapping them to Cohere solutions, and working closely with our partners as the trusted technical advisor who owns the technical relationship with our stakeholders. By leveraging your expertise, you will help to increase the adoption of Cohere products, both internally and externally, and will gather valuable insights and feedback from customers to help shape the future of our products. In this dynamic and demanding role, you will need to be both a strategic thinker and a builder. You will personally lead the design and deployment of customer pilots that showcase the impact of our technology to strategic enterprise and government customers. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into our technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products. A typical day at Cohere might include: - Leading the technical talk track on customer calls. - Designing enterprise architectures for North deployments. - Deep dives on customer queries and Cohere technology. - Facilitating customer evaluations and pilots. - Developing and documenting processes to enable the solutions architect team and adjacent teams to scale effectively within Cohere. - Collaborating with the Product and Engineering teams to ensure our offering matches the customers’ needs. - Working closely with our partners to develop a strategy for enabling and accelerating their customers. This might be for you if you have some of the following: - 3+ years of customer-facing technical pre/post sales Solutions Architect/Solutions Engineer/Sales Engineer/Digital Strategy Consultant (or similar) experience. - A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLMs and AI technologies. - Familiarity with foundational ML concepts (training, evaluation, etc.) - Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds with technical audiences. - Thrives within ambiguous and uncharted environments - You can identify and implement high-impact processes in unstructured environments. - Comfortable working with Python and Assistive Coding tools - Preferred: 2+ years architecting, deploying or consulting on NLP/AI/LLM Solutions - Preferred: Fluency in Swedish, Danish or Norwegian - Must have: Professional fluency in English (business and technical) Please note: for this role we are open to a range of experience levels, from Associate to Staff-level Individual Contributors (ICs). Experience level stated is a bare minimum. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services ., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @ or @ email alias. If jobs are viewed on other sites then please verify these through our official careers page.