Do you need more work from home job leads from remote companies that are always hiring? I have listed more than 100 companies that are consistently hiring remote workers, no matter the time of year.
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This means more opportunities and ongoing job leads for which you can apply today.
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👉 https://www.workersonboard.com/2021/11/19/100-work-at-home-companies-that-always-hiring/

Hey everyone, I'm seeking an experienced Kotlin for native android and Swift for native iOS developer for my app. You must develop a clean-written scalable code and publish the app on both platforms. I have the UI design and assets ready you just need to build the app. Message me!

Job Summary

KDCI Outsourcing is seeking a Sales Development Representative (SDR) to identify, engage, and qualify potential clients for our AI Managed Operations services. This role is responsible for executing outbound email and LinkedIn outreach campaigns, managing prospect conversations, and booking qualified meetings for the Business Development team. The ideal candidate has strong written communication skills, a proactive mindset, and the ability to thrive in a performance-driven outbound sales environment.

Key Responsibilities

Outbound Prospecting & Sequence Execution

• Execute personalized outbound email campaigns using sales engagement platforms.
• Manage multi-touch outreach sequences and follow up with prospects in a timely manner.
• Research prospects and personalize messaging to improve engagement and response rates.
• Maintain consistent outbound activity levels to generate qualified opportunities.

LinkedIn Outreach

• Conduct professional outreach through LinkedIn to engage decision-makers and target accounts.
• Build relationships through personalized connection requests and follow-up messaging.
• Support multi-channel prospecting efforts across email and LinkedIn.

Lead Qualification & Meeting Booking

• Engage with prospects to determine fit based on established qualification criteria.
• Schedule qualified meetings directly into calendars using HubSpot, Calendly, or similar scheduling tools.
• Ensure complete and accurate handoff information is provided before meetings.

CRM & Pipeline Management

• Maintain accurate records of all outreach activities within HubSpot CRM.
• Update lead statuses, contact information, notes, and qualification details.
• Ensure all prospect interactions are documented consistently.

Reporting & Performance Tracking

• Track outbound activity metrics including outreach volume, replies, and meetings booked.
• Submit regular updates and performance reports to leadership.
• Participate in team meetings, coaching sessions, and sales development initiatives.

Job Requirements

• 1–2 years of experience in B2B outbound sales, lead generation, inside sales, or a customer-facing role.
• Experience using Apollo.io, HubSpot CRM, Clay, or similar sales tools.
• Proven experience booking qualified sales meetings through outbound prospecting.
• Excellent written English communication skills with the ability to craft professional and engaging outreach messages.
• Experience using email outreach or sales engagement platforms such as Instantly, Lemlist, Mailshake, or similar tools.
• Comfortable using LinkedIn for professional networking and prospect outreach.
• Strong resilience and ability to handle rejection while maintaining productivity.
• Highly organized with strong attention to detail.
• Ability to work independently and manage multiple priorities.
• Comfortable working a 2:00 PM – 11:00 PM PH Time schedule.
• Fresh graduates with exceptional written English skills and strong sales aptitude may be considered.

• Background in SaaS, technology, AI, or business services industries is preferred.

[HIRING] eBay Listing & Draft Optimization Assistant
I'm looking for someone with 1–2+ years of experience in eCommerce or eBay management who can help optimize my eBay drafts and provide feedback on how to improve sales and sell products faster.
What you'll be doing:
Reviewing eBay drafts before they go live
Optimizing titles, item specifics, pricing, and categories
Improving listing quality and visibility
Providing suggestions to increase conversions and sell-through rates
Identifying mistakes or missed opportunities in listings
Requirements:
1–2+ years of eBay or eCommerce experience
Strong understanding of eBay SEO and listing optimization
Experience with product research and pricing strategies
Good attention to detail
Ability to explain why changes should be made
Important: I am not looking for AI-generated descriptions or generic AI-written content. I prefer concise, factual, human-written listings that focus on the information buyers actually need and help products sell.
Compensation: I'm currently thinking of paying on a per-draft basis rather than hourly, since the workload may vary between listings. However, I'm open to other payment structures if you have a better suggestion.
When messaging me, please include:
A brief introduction
Your eBay/eCommerce experience
Examples of listings you've worked on (if available)
Your preferred pricing model and rates
If you have experience helping sellers improve listing performance and increase sales, I'd love to hear from you.

Job Title:
Software Developer
Location:
Remote
As a Software Developer
Responsibilities:
• Build and maintain scalable web applications
• Develop APIs, microservices, and cloud solutions
• Implement and improve CI/CD pipelines
• Support production systems and ensure reliability
• Collaborate with Agile teams and participate in technical discussions
• Mentor developers and contribute to technical leadership
• Drive modernization initiatives and AI-powered solutions
Requirements:
• Strong experience with Angular 15+, TypeScript, .NET 8, Azure, and Terraform
• Experience building scalable applications and cloud-based systems
• Knowledge of CI/CD, monitoring, security, and performance optimization
• Experience with Azure OpenAI or AI tools is a plus
• Strong communication and collaboration skills
How to Apply:
Kindly dm me with your current location.

HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 800+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. Alan operates at the intersection of health insurance, prevention, and regulated data. The person in this role owns the security governance and risk posture of a company that handles sensitive health data for 1M+ members, operates under DORA and HDS certification requirements, and is regulated by the ACPR. They work in close partnership with Legal, Internal Audit, and the broader Risk function — this is a collaborative role, not a siloed one. 🛡️ YOUR MISSION — GOVERNANCE, RISK & COMPLIANCE Own and operate the ISO 27001 ISMS. You are the accountable owner of the Information Security Management System — scope definition, Statement of Applicability, internal audit programme, and management review. You've led at least one full certification or recertification cycle and know what breaks down in the months between audits. Be the security expert in the room on regulatory and privacy matters — not the owner. Legal leads on DORA, HDS, RGPD, PGSSI-S, and regulatory relationships. Your role is to bring the technical and operational security substance: translating regulatory requirements into controls, flagging implementation gaps, and making sure the security programme holds up when the regulatory team negotiates with the ACPR or ANS. Run risk as a living programme, in partnership with the broader risk function. You lead security risk cartography using EBIOS RM and ensure it feeds into — and is informed by — the company-wide risk framework. You facilitate risk workshops, produce treatment plans, and bring the security lens to forums where non-security risks are also on the table. You know when a security risk is actually a business risk in disguise. Own the controls framework, but distribute ownership of controls themselves. You define the framework, set the standards, and track coverage — but the controls live with the teams who build and run the things they protect. You work closely with Infrastructure, Platform, and Engineering to ensure foundational building blocks (identity, network, secrets management, logging) are designed with security requirements embedded, not bolted on. You're a partner to those teams, not an auditor standing over them. Run audit cycles with rigour, in close partnership with Internal Audit. You manage the security audit programme and coordinate with certification bodies, but you're not operating in a vacuum. You work with Internal Audit to align scopes, avoid duplication, and present a coherent picture of control effectiveness to the board. You've sat in joint audit planning sessions and know how to make that relationship productive rather than territorial. Manage third-party risk with real teeth. You run vendor security assessments, define contractual security requirements (security annexes, DPAs). You partner with our Risk team, which oversees third-party risk, and own the security dimension. Bring the health sector context. You understand the ANS framework, CERT Santé requirements, and what it means to handle sensitive health data operationally — not just on paper. You're a useful partner to Legal when the question is "what does this regulation actually require us to do technically?" Own incident governance and support DORA reporting. You classify and escalate ICT incidents internally, own BCP and DRP governance, and provide the security substance for DORA incident reports. 🚀 WHAT YOU'LL BUILD AND WHO YOU'LL WORK WITH Next-Gen Compliance Framework: ISO 27001, DORA, HDS, NIS2 — multiple regulators, multiple countries, one coherent governance backbone. Build the system that lets Alan scale from 1M to many millions of members without rebuilding compliance every time. Automated Audit & Evidence Engine: Replace manual evidence collection with scripted pipelines plugged directly into engineering systems. Turn audit cycles from quarterly fire drills into a continuous capability. Living Risk Cartography: Risk treated as an operational signal, not a static deliverable. EBIOS RM at the core, feeding directly into business and engineering decisions. You'll work closely with Legal, DPO, Internal Audit, and the broader Risk function — and partner day-to-day with Infrastructure, Platform, Engineering, Product, and Operations. You're the bridge between regulatory complexity and operational simplicity. ⚡ WHY THIS ROLE IS SPECIAL Direct Impact: You own the trust foundation that lets Alan handle health data for 1M+ members and operate in highly regulated markets. Your work is the precondition for everything else Alan does. Complex Problems: 4 regulators across 4 countries, sensitive health data, and a regulatory landscape that keeps shifting (DORA, NIS2, AI Act) — to be modeled into a single, coherent control system. Ownership & Growth: Board and executive exposure, real influence on company-wide risk decisions, and the autonomy to shape Alan's security culture across 800+ people. 🤝 WHAT YOU WILL ALSO DO — TECHNICAL ENABLEMENT Automate compliance work wherever possible. You script evidence collection, automate control testing, and connect GRC tooling to engineering pipelines. You've used Python or similar to reduce the manual lift of an audit cycle, and you actively look for the next process to streamline. Configure and own GRC tooling, not just use it. You can administer platforms like CISO Assistant, ServiceNow GRC, or Archer — designing workflows, building dashboards, and making them actually useful for the teams that feed them data. Speak cloud governance fluently. You understand shared responsibility in HDS-qualified environments, know what CSPM tools surface and what they miss, and can reason about policy-as-code (OPA, SCP) without needing an engineer to translate. Read architecture well enough to challenge it. You can review a proposed architecture, identify control gaps in identity, network segmentation, encryption, or logging, and push back credibly in a room of engineers — without pretending to be one. Interpret vulnerability data and drive prioritisation. You read scan outputs, work with engineering teams to prioritise remediation by business risk rather than CVSS score, and track resolution KPIs over time. ⭐️ QUALIFICATIONS — MINDSET AND SOFT SKILLS You translate risk into business language. You can brief a board or an audit committee and make them feel informed — not overwhelmed or underwhelmed. You know the difference between a finding that requires an emergency board call and one that belongs in a quarterly report. You influence without authority. You align Legal, DPO, Risk, Engineering, Product, and Operations on security requirements without creating blockers or adversarial dynamics. People don't avoid you — they come to you early because you make their lives easier, not harder. You manage programmes with audit-grade rigor. You run structured, traceable roadmaps. You know where every commitment is, who owns it, and when it's due. You escalate proactively and don't let dependencies surprise you. You build security culture, not compliance theatre. Your awareness programmes land because they're relevant, not because they're mandatory. You foster proportionate risk ownership across the company — the goal is teams making better decisions, not teams checking boxes. You think in principles when frameworks shift. DORA is live. NIS2 transposition pace varies. The AI Act is arriving. You don't freeze when the regulatory landscape moves — you reason from first principles and adapt without waiting to be told what to do. 🌍 HOW WE WORK Location: Paris-based, hybrid. We value in-person collaboration and ask Alaners to be in the office part of the week. 🎯 We hire people, not checklists. If you're excited by this scope but don't check every box, we'd still love to hear from you.

MongoDB’s Security Assurance team is on a mission to make MongoDB one of the world’s most trusted technology vendors. We are doing this in two ways. First, we provide customers with the clear, concise and accurate information about the security of our products that customers require to use our products. Second, we serve as trusted security SMEs to MongoDB’s field teams.

The InfoSec Analyst I is an independent contributor role. This role is vital to the Security Assurance team’s mission and is responsible for coordinating completion of customer due diligence reviews as well as helping MongoDB’s field personnel answer complex customer security questions.

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

Responsibilities:

• Actively manage the Assurance team’s queue to ensure requests are handled promptly
• Complete customer security reviews. Help other team members complete reviews as necessary
• Help customer facing personnel respond to customer security questions
• Monitor relevant channels and answer in scope questions when possible, or escalate to more senior team members
• Proactively maintain the team’s knowledgebase
• Proactively recommend improvements in team processes and tooling to team leadership
• Share relevant and actionable customer feedback with team leadership
• Help coordinate development of customer facing response to high-profile supply chain events including critical severity CVEs that may affect MongoDB or its vendors
• Lead complex projects to help build, scale and train the team
• Serve as an internal subject matter expert on MongoDB product security topics, assurance trends, customer concerns, and emerging regulations
• Design and deliver internal enablement training on security posture and compliance topics for teams across the organization

Requirements:

• 2 to 3 years of experience in Information Security
• BS in Computer Science, Information Systems, or equivalent experience
• Direct exposure to at least one major framework or regulation such as ISO 27001, SOC2, CSA or DORA is preferred
• Basic understanding of public cloud technologies including IAM, encryption, network security and tenant isolation
• Strong communication skills, with the ability to present security concepts to technical and non-technical stakeholders up to and including at the executive levels
• Ability to coordinate and manage multiple urgent requests simultaneously while effectively collaborating with SMEs across various time zones
• A self-starter with a strong desire to grow into a trusted authority on the security of MongoDB and its products

Success in this Role Means:

• Within 3 months - Have a solid understanding of MongoDB’s product portfolio, core security posture, and the Security Assurance team’s procedures and tooling; reliably triage incoming requests; independently complete customer security reviews with guidance from more senior team members; monitor key internal channels and answer straightforward in‑scope questions
• Within 6 months - Independently own end‑to‑end completion of most standard customer security reviews; serve as a trusted partner to customer‑facing teams by helping them respond to complex security questions; make measurable contributions to the team knowledgebase and playbooks; proactively identify and help implement improvements to team processes and tooling
• Within 12 months - Be recognized as a trusted subject matter expert on MongoDB’s product portfolio, security posture and common customer concerns; complete complex projects that materially improve review quality, throughput, or customer experience; consistently surface relevant, actionable customer feedback that can influence Security roadmaps

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 platformbase for the AI era, enabling buildersinnovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed data platformbase 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 platformbase and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 670,000 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: 2273456141

CSQ427R171

Mission

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly.

The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
• Own production rollouts of consumer and internally facing GenAI applications
• Serve as a trusted technical advisor to customers across a variety of domains
• Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
• Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

What we look for:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
• Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through AI
• [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark" to process large-scale distributed datasets
• Willing to travel once every 4-8 weeks to see customers (as needed)

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.

📍 Location: Bangalore
💼 Experience: 3–7 years
💰 CTC: Up to ₹1.2 Cr

🔍 About the Role

We are looking for a Computer Vision Scientist to build cutting-edge models that extract actionable intelligence from video data. You will work on both real-time and offline video analytics systems, solving complex challenges at scale.

🧠 Key Responsibilities

• Design and develop advanced models for object detection, tracking, and activity recognition
• Work with large-scale video datasets to train and evaluate models
• Build and maintain real-time inference pipelines
• Optimize models for performance, scalability, and deployment
• Collaborate with cross-functional teams to deliver production-ready solutions

✅ Requirements

• MS/PhD in Computer Science, AI, or a related field
• Strong foundation in Machine Learning, Deep Learning, and Computer Vision
• Hands-on experience with video-based models
• Proficiency in Python and frameworks like PyTorch or TensorFlow
• Experience with OpenCV and video processing

As a TCS Specialist, you will support the Services Operations team by assisting with Technical Contact Standardization (TCS)

reviews, process documentation, and operational initiatives. This role is responsible for ensuring accuracy, consistency, and

compliance across TCS deliverables while helping drive standardization and scalability as volume increases.

You will collaborate with stakeholders across teams, support ongoing process improvement efforts, and provide

operational relief for senior team members by managing repeatable tasks and maintaining quality standards.

Key Responsibilities

• Perform TCS reviews to ensure accuracy, consistency, and adherence to established standards and requirements.

• Review, validate, and maintain technical contact information and related documentation.

• Partner with internal stakeholders to gather requirements, document best practices, and support standardization

initiatives.

• Assist in developing, maintaining, and improving process documentation, templates, and knowledge resources.

• Support project coordination activities, including tracking deliverables, maintaining schedules, and preparing

status updates.

• Identify process gaps and recommend improvements to enhance efficiency, consistency, and scalability.

• Provide operational support and relief capacity for senior team members by managing recurring and

administrative tasks.

• Perform additional duties as assigned in support of evolving business priorities.

• 2-3 years of experience in operations support, documentation management, quality assurance, compliance,

project coordination, or a related field.

• Strong organizational skills with the ability to manage multiple priorities and deadlines.

• Excellent attention to detail with a focus on accuracy, consistency, and quality.

• Strong written and verbal communication skills.

• Proficiency in Microsoft Office 365, particularly Word, Excel, and collaboration tools; SharePoint experience is a

plus.

• Experience with data review, documentation management, quality assurance, or process standardization

preferred.

• Ability to work independently while collaborating effectively with cross-functional teams.

• Strong analytical and problem-solving skills with a continuous improvement mindset.

• Experience supporting operations, compliance, documentation, or standardization initiatives is highly desirable.

CSQ326R424

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform.As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:

• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance

• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 10+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

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.