Sales Development Representative (SDR) Full-time (40-hour-per-week) | Remote | Europe (CET ±3) Check out The Global Talent Co.’s talent network: About Us: At The Global Talent Co., we provide opportunities to work with leading innovative technology companies worldwide, offering stable employment, competitive compensation, career growth, and access to a community of 25k+ like-minded marketing professionals. About the Role Our client is a fast-scaling company expanding across Europe, looking for someone who lives for the phone — not the spreadsheet. This is a pure sales role: high call volume, high energy, no hiding in admin work. If you get a rush from booking a meeting or closing a deal, keep reading. What You'll Do - Make 50+ outbound sales calls per day, every day - Prospect and qualify leads across target European markets - Build genuine rapport fast, in more than one language - Log everything properly in the CRM — no shortcuts - Help shape a young, fast-moving company from the ground floor What We're Looking For - Fluent in English, plus at least one of: French, German, Danish, Dutch, Spanish, or Portuguese - Based in a timezone within ±3 hours of CET - Proven experience in outbound sales — cold calling required - Strong communication skills — persuasive, clear, and comfortable on the phone all day - Genuine excitement about building something in a young, growing company - Willingness and stamina to hit 60+ calls per day, consistently - Experience working with a CRM Nice to Have - Experience with lead enrichment tools/processes - Experience in logistics or automotive Who Should NOT Apply If you're looking for an ops-adjacent role that occasionally touches sales, this isn't it. We're looking for someone whose default answer to "want to make another call?" is yes. At The Global Talent Co., our mission is to bridge the gap between leading global brands and amazing global talent. We believe everyone deserves equal access to opportunities, regardless of the country they are born in.

Rokt is an Ecommerce technology company with the mission of making every transaction more relevant. The Rokt Ecommerce Network leverages proprietary machine learning recommendation systems, powering billions of transactions for hundreds of millions of customers, and is trusted to do this by companies like Live Nation, Fanatics, Macy's, AMC Theatres, PayPal, Uber, Hulu, Staples, Albertsons and HelloFresh.The Role: As a Staff Applied Scientist in the Rokt Brain team, you will lead applied research, experimentation, and model development projects - harnessing a diversity of ML theories, concepts, and models to improve complex systems powering 10 billion+ transactions per year.Growth: pathways to Principal Applied Scientist (IC Track) and Applied Science Manager/Director (People Leader track) per your preferences and abilities. Pay: Target total compensation ranges from $470k - $615k, comprised of a fixed annual salary of $290k - $360k, plus employee equity plan grant. In addition, you will receive world-class employee benefits.

Responsibilities: Technical

• Own the research, design, development, testing, deployment and maintenance of machine learning systems and services at Rokt.
• Optimise auction and decisioning logic, applying model predictions to maximise value across Rokt’s multi-sided marketplace
• Conduct applied ML research, prototype new modeling approaches, and rigorously test innovations.
• Evaluate and improve model performance, ensuring robustness, scalability, and interpretability.
• Translate complex business needs into practical ML solutions, collaborating with product and engineering teams.
• Stay ahead of emerging ML trends, contributing to knowledge sharing through tech talks, brown bags, and best practice evangelism.

Leadership

• Act as technical and project leader of a small team of specialists
• Provide leadership on complex technical issues,
• Set standards for technical excellence - from coding to architectural best practices.
• Work cross-functionally with engineering and product leadership to plan and manage delivery expectations of roadmap items.
• Actively monitor progress and intervene where required to mitigate risks and bottlenecks, managing expectations within and outside the team.

Requirements

• PhD or equivalent experience in Computer Science, Statistics, Mathematics, or related field with specialization in ML, AI, or Information Retrieval, and experience leading PhD level scientists/engineers on projects.
• 10+ years of industry experience building production-grade ML systems.

+ Deep expertise in at least two of the following:

• ML for Ads, E-commerce, or Two-Sided Marketplaces
• Deep Learning Architectures e.g MMoE, PLE, DCN, Transformers, Graph Neural Networks
• Bayesian Modelling & Probabilistic Methods
• Reinforcement Learning (Contextual Bandits, Policy Optimization)
• Price & Revenue Optimisation
• Representation Learning & Embeddings
• Model Optimisation (quantisation, distributed training, GPU optimisation, JIT compilation, mixed precision, inference optimisation)
• Knowledge Distillation

Hybrid work structure: Rokt has a 4 day in-office, 1 day remote hybrid structure - with a flexible approach to start/finish times.

Benefits

• Equity in a profitable, fast-growing company approaching $1 Billion in revenue.
• Dollar-for-dollar 401K matching plan (up to 4% of fixed annual remuneration)
• Fully funded health insurance (Dental, Optical, and Medical)
• Generous allowances for wellness, technology, mobile, and transit.
• Daily catered lunch, stocked pantry & fridges
• Extra leave (bonus annual leave, sabbatical leave etc.)

Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Note: The first stage of Rokt's recruitment process is a 15-minute online aptitude test, which will be sent out to your application email. Successful candidates will be contacted on next steps.

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At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

About the Role

This partner intelligence engineer owns the internal tooling that runs the ISV partner organization: the pipelines, dashboards, Genie spaces, metric views, and the AI applications and workflows we use to operate the partner business. You will build and maintain that stack on Databricks and use the platform heavily, every day. You will also work with the Apps and AI teams as an early user of new features, and with Developer Relations to share what you build. The role is based in San Francisco and reports into Partner Engineering.

Impact you will have

• Data pipelines and quality: Build, schedule, and maintain the data pipelines that run the partner business, and own their quality, monitoring, and governance.
• Partner metrics and measurement: Own how we measure partners: the metrics, metric views, and definitions that serve as the source of truth for partner performance and health.
• Reporting and self-serve analytics: Build and maintain the dashboards, Genie spaces, and apps the team uses to run the business day to day.
• Internal AI apps: Build AI applications and agentic workflows that automate how we run the partner business.
• Partner AI platforms: Build real internal tools on partner products like Replit, Lovable, Cursor, Claude, and Codex, and bring what you learn about their strengths and gaps back to the AI and Apps partnerships.
• Early Databricks adopter and DevRel: Try new Databricks features early (Apps, Genie, metric views, AI/BI, Lakebase, Agent Bricks), give product teams direct feedback, and work with Developer Relations to turn what you build into reusable examples.

Required Qualifications

• 3+ years in data engineering, analytics engineering, or a similar hands-on data or AI role.
• Heavy hands-on production experience with Databricks data engineering and analytics tool
• Strong SQL and Python, with experience building and maintaining production data pipelines.
• Experience building the analytics layer a team runs on: dashboards, semantic or metric layers, and clear metric definitions.
• Experience building AI applications or agentic workflows (LLM-powered apps and automations).
• Regular hands-on use of AI code-gen and app-building tools (Replit, Lovable, Cursor, Claude, Codex). You use them in your day-to-day work.
• Clear communicator who works well in fast-moving, sometimes ambiguous situations.
• Strong propensity for GSD → Gets Stuff Done!

Preferred

• Depth in Databricks analytics and AI features: Genie, AI/BI, metric views, Lakebase, Agent Bricks.
• dbt or a similar transformation framework, and modern analytics-engineering practices.
• Experience defining business metrics and KPI frameworks.
• Open-source contributions or community work in data and AI.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.



Zone 1 Pay Range
$101,900-$140,150 USD
About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark", Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.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 NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

The Technical Account Manager (TAM) is a trusted advisor to NICE’s customers and will provide both proactive and reactive post-implementation support ensuring alignment with the Customer’s priorities and NICE’s business objectives. The TAM is responsible for maintaining a strategic relationship across all client business units influencing tactical activities to drive service excellence for designated accounts. The TAM is required to be a subject matter expert in the NICE Solutions deployed at their designated clients and ensure maximum value is achieved from the NICE solution.

You will be the primary interface between the Customers and NICE’s support organizations while managing critical issues, problems and requests related to escalations and missed expectations.

The TAM is an extension on the Support Management Team focused on escalation management, Technical Communication, driving resolution and technical best practices.

How will you make an impact? ****

• Understand the full solution NICE & 3rd party integrations for designated accounts
• Analyze support activity and SR trends for the assigned account ensuring SLAs are met, CSAT is achieved and/or provide recommendations to close gaps- Facilitate Meetings
• First point of escalation for designated accounts for support process issues not resolved by the standard process
• Facilitate problem resolution across NICE internal teams, driving actions, communication and RCA/Best Practices
• Establish relationships and effectively communicate with key members of Customer’s technical team including management personnel.
• Identify barriers to product adoption and partner with appropriate NICE and Customer teams to optimize Customer success.
• Develop, implement and maintain standard practices for designated accounts aligned with the Global TAM operating model
• Oversee transition phase from Client Services to Customer Support (documentation and report review, completed project sign-off, documented acceptance, updated internal sites with hand off materials)- Ensure Day 2 readiness and Success
• Act as Back up for Support Managers as directed
• Mentor and coach Engineers from a technical perspective
• Communicate and advocate customer requirements and concerns to product management team R&D and other internal stakeholders
• Lead Root Cause/Best Practice sessions with Customers and internally as required
• As a 24x7x365 organization, on-call responsibilities may be required as well as occasional travel to customer sites.

Have you got what it takes?

• Possess excellent organizational and communication skills.
• Strong ability to use facts and data to influence decisions
• Ability to prioritize and make appropriate decisions.
• Proven ability to meet deadlines and maintain quality standards.
• Excellent problem-solving skills, strong customer service and interpersonal skills, plus a demonstrated ability to work with a diverse group of associates.
• Ability to interact effectively with all levels of management and customers.
• Ability to work with minimal guidance or supervision in a time critical environment.
• Ability to be flexible and quickly adapt to changing business needs and processes.

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!



About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

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. We seek an experienced leader, native to crypto and with significant experience in KOL business development and team management to lead our global affiliate program. THE OPPORTUNITY - Build out and lead Kraken’s global KOL strategy and execution, including managing a BD team focused regionally. - Scale processes to source, contract, and manage KOLs. This will include technology, agency relationships, and commercial planning. - Ensure compliance with financial influencer laws around the world with the appropriate disclaimers, content monitoring, and compensation terms. - Enable the KOL BD team to negotiate deals that are attractive in a competitive KOL space and deliver strong ROI to Kraken. - Attract top KOLs across a variety of categories including futures, margin trading, spot trading, and prop trading. - Develop scalable strategies that arm KOLs with positioning and messaging that highlight Kraken Pro’s differentiators. - Identify opportunities to develop local-first ideas with KOL partners that generate attention, are persuasive vs competitors, and drive a strong CTA. - Define and evolve global program benefits for KOLs to deepen engagement and drive feedback loops that help scale affiliate marketing. - Measure results of KOL partnerships; adjust strategy and deal structures. WHAT YOU BRING - 5+ years in the crypto space, with experience building out a KOL program - Significant experience with crypto KOLs, especially traders - A proven track record in growing new users in a highly competitive and regulated environment. - Experience working with partners in regions all over the world - Advanced crypto knowledge including how crypto products work, crypto revenue models, and crypto players in different regions. - Existing relationships with crypto and adjacent industry influencers. Candidate expected to bring a strong network. - Experience with software to manage KOLs across a deal’s lifecycle and scaling processes to handle hundreds of KOLs - Experience across a large product suite, with an eye for leveraging different KOLs to promote multiple topics and products - Strong experience in marketing analytics, including how to measure partnership success - We will strongly assess creative thinking; we are looking for people that have growth ideas grounded in logic and data, while being capable of supporting their ideas and persuading others to enact them 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 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. We seek an experienced leader, native to crypto and with significant experience in KOL business development and team management to lead our global affiliate program. THE OPPORTUNITY - Build out and lead Kraken’s global KOL strategy and execution, including managing a BD team focused regionally. - Scale processes to source, contract, and manage KOLs. This will include technology, agency relationships, and commercial planning. - Ensure compliance with financial influencer laws around the world with the appropriate disclaimers, content monitoring, and compensation terms. - Enable the KOL BD team to negotiate deals that are attractive in a competitive KOL space and deliver strong ROI to Kraken. - Attract top KOLs across a variety of categories including futures, margin trading, spot trading, and prop trading. - Develop scalable strategies that arm KOLs with positioning and messaging that highlight Kraken Pro’s differentiators. - Identify opportunities to develop local-first ideas with KOL partners that generate attention, are persuasive vs competitors, and drive a strong CTA. - Define and evolve global program benefits for KOLs to deepen engagement and drive feedback loops that help scale affiliate marketing. - Measure results of KOL partnerships; adjust strategy and deal structures. WHAT YOU BRING - 5+ years in the crypto space, with experience building out a KOL program - Significant experience with crypto KOLs, especially traders - A proven track record in growing new users in a highly competitive and regulated environment. - Experience working with partners in regions all over the world - Advanced crypto knowledge including how crypto products work, crypto revenue models, and crypto players in different regions. - Existing relationships with crypto and adjacent industry influencers. Candidate expected to bring a strong network. - Experience with software to manage KOLs across a deal’s lifecycle and scaling processes to handle hundreds of KOLs - Experience across a large product suite, with an eye for leveraging different KOLs to promote multiple topics and products - Strong experience in marketing analytics, including how to measure partnership success - We will strongly assess creative thinking; we are looking for people that have growth ideas grounded in logic and data, while being capable of supporting their ideas and persuading others to enact them 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