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VP, Data Science & AI Engineering Job Opening In San Francisco – Now Hiring 6sense


Job description

The Role:

VP, Data Science & AI Engineering

At 6sense, we are redefining how B2B companies predict, prioritize, and engage with buyers.

As VP, Data Science & AI Engineering, you will drive and execute the vision of how AI powers our product by embedding AI at the core of our product experience.

From advanced predictive models to generative and agentic intelligence, your leadership will shape the next generation of AI-native products.


We’re looking for a visionary and execution-driven leader with deep expertise in both data science and ML engineering.

You’ll own the end-to-end AI/ML strategy — from model development to deployment at scale — while building strong cross-functional relationships to drive adoption, value, and innovation.


You will partner closely with product, engineering, GTM, and executive leadership to define and execute the roadmap for AI-native capabilities, predictive modeling, and real-time intelligence — all underpinned by scalable, reliable ML infrastructure.

As a hands-on executive, you will lead teams spanning data science, ML engineering, and ML/Ops to drive business impact and develop concrete outcomes through the responsible and innovative use of data and AI.


Key Responsibilities


Strategic Leadership:

  • Own and define the long-term AI and data science vision and strategy that advances 6sense’s mission of transforming B2B sales and marketing through predictive and generative intelligence.

  • Articulate the role of AI in the business at the executive level, and translate complex science into clear product and business strategy.

  • Act as a thought leader and evangelist for AI across the business – from applied use cases to ethical and responsible AI practices.

  • Manage a diverse portfolio of AI initiatives, balancing short-term impact with long-term investments across generative AI, predictive modeling, and platform capabilities.
  • Product Development and Innovation:

  • Lead the conceptualization, development, and deployment of scalable AI products, with a strong emphasis on generative AI (GNI), NLP, agentic workflow, and customer-facing intelligence – from problem definition to deployment.

  • Ensure research efforts translate into features, models and systems with measurable ROI.

  • Define and track success metrics for data science and machine learning products and platforms.

  • Lead the development of scalable and secure ML/Ops pipelines that support continuous training, deployment, and monitoring of models in production.
  • Team & Culture:

  • Partner deeply with Product, Engineering, and GTM teams to embed AI into the core product experience, translate customer needs into data driven solutions, and ensure measurable customer and business value.

  • Recruit, mentor, and retain top-tier talent across data science and ML engineering, creating a culture of ownership, rigor, experimentation and delivery.

  • Partner closely with product, engineering, and GTM to embed AI deeply into the customer journey.
  • Thought Leadership & Industry Engagement

  • Act as a visible champion for AI at 6sense-internally and externally-through thought leadership, speaking engagements, and strategic collaborations.

  • Represent the company in industry forums, conferences, and publicatins to showcase 6sense’s AI capabilities and attract top talent.

  • Foster applied research efforts that result in whitepapers, patents, and proprietary methodologies that differentiate 6sense’s AI capabilities in the market.

  • Build external partnerships to stay at the cutting edge of AI advancements and drive strategic advantage.
  • Required Qualifications

  • 15+ years of experience in data science, machine learning, or applied AI roles, with at least 5+ years in senior leadership, including experience managing senior leaders and multi-disciplinary teams.

  • Proven success leading AI product development—including generative AI (LLMs, retrieval-augmented generation, prompt engineering) and natural language processing (NER, classification, summarization, embeddings).

  • Strong experience deploying ML systems in production, including recommender systems, LLMs, and agentic systems.

  • Deep expertise in applied machine learning and statistical modeling in production environments, including recommender systems, time series prediction, and personalization.

  • Track record of building AI-native or AI-led products that drive customer and business value.

  • Prior experience working in B2B SaaS and/or Martech is strongly preferred.

  • Strong business acumen with the ability to prioritize and balance long-term vision with near-term impact- while aligning senior stakeholders to drive action and sustainable results.

  • Technical knowledge in modern ML toolkits, MLOps platforms, and cloud-based data architectures (e.g., AWS, Databricks, Kubernetes, etc.).

  • Exceptional executive communication skills and the ability to influence across product, engineering, and C-level stakeholders.

  • Strong leadership skills with a track record of attracting top technical talent and developing high-performing teams.
  • Base Salary Range: $233,859 – 350,789.

    The base salary range represents the anticipated low and high end of the base salary range for this position.

    Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience.

    The base salary is one component of 6sense’s total compensation package for this position.

    Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board.

    In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO).

    #Li-remote


    Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy

    Our Benefits:


    Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options.

    We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices.


    We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform.

    Employee well-being is also top of mind for us.

    We host quarterly wellness education sessions to encourage self care and personal growth.

    From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds.


    Equal Opportunity Employer:


    6sense is an Equal Employment Opportunity and Affirmative Action Employers.

    Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

    If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process,

    Required Skill Profession

    Computer Occupations


    • Job Details

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    The fundamental ethical values are:

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    3. Impartiapty

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    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

    What Is the Average Salary Range for VP, Data Science & AI Engineering Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in San Francisco. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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    Key qualifications for VP, Data Science & AI Engineering typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for VP, Data Science & AI Engineering Job Success

    6sense interview tips for VP, Data Science & AI Engineering

    Here are some tips to help you prepare for and ace your VP, Data Science & AI Engineering job interview:

    Before the Interview:

    Research: Learn about the 6sense's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

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    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your VP, Data Science & AI Engineering interview at 6sense, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the 6sense's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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