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Vice President Data Science Jobs in San Ramon, CA

VP, Toxicology

San Francisco, CA · On-site

$310K - $340K/yr

At Latigo, we value science, patient-focus, and innovation. Position Description: The Vice ... review, data quality, and final report approval. * Ensure nonclinical safety and toxicology ...

At Latigo, we value science, patient-focus, and innovation. Position Description: The Vice ... review, data quality, and final report approval. * Ensure nonclinical safety and toxicology ...

Partner closely with the VP, Product Growth & Engineering, the Senior Director, Data & Analytics ... Bachelor's degree in computer science, engineering, or a related field, or equivalent experience.

Showing results 21-40

Vice President Data Science information

See San Ramon, CA salary details

$48.6K

$176K

$310.1K

How much do vice president data science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for vice president data science in San Ramon, CA is $176,045.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,500.00 and $212,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a vice president of data science when scaling data teams across an organization?

A Vice President of Data Science often encounters challenges such as aligning data initiatives with business objectives, ensuring consistent data governance practices, and fostering effective collaboration between technical and non-technical teams. Balancing the need for rapid innovation with maintaining data quality and compliance can also be demanding. Additionally, scaling the team requires strong leadership skills to recruit, mentor, and retain top talent while promoting a culture of knowledge sharing and continuous learning.

What is the difference between Vice President Data Science vs Data Scientist?

AspectVice President Data ScienceData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in relevant field
Work EnvironmentExecutive leadership, strategic planningTechnical analysis, model development
Employer & Industry UsageCorporate, large organizations, tech, financeVaried industries, research labs, startups

The Vice President Data Science typically oversees data strategy and manages teams, requiring leadership and strategic skills. Data Scientists focus on building models and analyzing data. While both roles require strong technical skills, the VP role emphasizes management and vision, whereas Data Scientists are more hands-on with data analysis.

What are the key skills and qualifications needed to thrive as a vice president of data science, and why are they important?

To thrive as a Vice President of Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant leadership experience. Familiarity with data platforms like Hadoop, Spark, and cloud-based analytics tools, as well as experience with programming languages such as Python or R, is crucial, along with certifications in data management or analytics. Strong strategic vision, communication, and team leadership skills distinguish top performers in this role. These skills and qualities drive innovation, enable data-driven decision-making, and ensure alignment with organizational goals.

What does a vice president of data science do?

A Vice President of Data Science leads the data science division within an organization, overseeing teams that analyze large datasets to drive strategic business decisions. They are responsible for developing data-driven strategies, managing data science projects, and ensuring the alignment of analytics initiatives with the company’s goals. This executive role also involves collaborating with other leaders, mentoring data science teams, and staying updated on the latest technologies and trends in data science. Ultimately, the Vice President of Data Science ensures that the organization's data assets are leveraged to create measurable business value.

What does a vice president of data science do?

As vice president of data science, your responsibilities include targeting audiences through both online and offline data. You lead a team of analysts, manage client needs, and implement solutions to build brands. Predictive analytics is a large part of this job, as is the ability to create strong content based on data science. You use analytical data to develop a business model that reaches a broader audience. Other duties include providing thought leadership, anticipating project risks, and translating analytical science into actionable marketing campaigns. This role is almost always in-house.

What are the most commonly searched types of Data Science jobs in San Ramon, CA? The most popular types of Data Science jobs in San Ramon, CA are:
What job categories do people searching Vice President Data Science jobs in San Ramon, CA look for? The top searched job categories for Vice President Data Science jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Vice President Data Science jobs? Cities near San Ramon, CA with the most Vice President Data Science job openings:
Infographic showing various Vice President Data Science job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $176,045 per year, or $84.6 per hour.

VP, Product Management- Agentforce Voice

Salesforce, Inc.

San Francisco, CA • On-site

$257.50 - $496.40/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

112th of 242 rated software companies


Job description

VP, Product Management- Agentforce VoiceSkip to main content#VP, Product Management- Agentforce Voice page is loaded## VP, Product Management- Agentforce VoiceApplyremote type: Office Tech-Flexiblelocations: California - San Franciscotime type: Full timeposted on: Posted Todayjob requisition id: JR351302*To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.*Job CategoryProductJob Details****About Salesforce****Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.****VP, Product Management, Agentforce Voice******Global Speech, Language & Industry Model Platform****We are looking for an experienced and deeply technical Vice President of Product Management to lead the global Speech, Language, and Industry Model Platform that powers Agentforce Voice. This leader must possess a deep passion for Salesforce and the transformative power of Generative AI, with the vision and operating discipline to mobilize product and engineering teams, accelerate innovation, and drive market leadership and customer success in enterprise voice AI.****As the VP responsible for Agentforce Voice language support, you will own the complete speech and language stack, including Speech-to-Speech (S2S), Speech-to-Text and Automatic Speech Recognition (STT/ASR), Text-to-Speech (TTS), multilingual and monolingual experiences, accent and dialect adaptation, language expansion, speech quality, and industry-specific speech, diarization, background-noise handling, model-tuning, language models, and other related capabilities.****You will define how Salesforce delivers accurate, natural, low-latency voice experiences across languages, regions, industries, deployment models, and customer environments. Your charter will include hosted and self-hosted solutions, APIs, model orchestration, hybrid model management, performance tuning, model evaluation, domain adaptation, and the developer and administrative experiences required to operate the platform at enterprise scale.****As Salesforce expands globally, you will build and lead a world-class product organization with dedicated regional and industry-focused team members where languages, regulations, terminology, cultural expectations, or acoustic environments require additional investment. This may include Japan, EMEA, Southeast Asia, India, Latin America, and other strategic markets and industries.****You will work closely with colleagues in engineering, design, user experience, program management, data science, security, legal, compliance, product marketing, sales, services, regional teams, and Salesforce industry organizations to align on a unified vision. You will grow a high-performing team of product managers through an iterative, high-velocity approach to delivery.****Responsibilities*** **Team Leadership: Build, lead, and mentor a high-performing team of product managers, fostering a collaborative operating model, clear ownership boundaries, and a shared roadmap of priorities.*** **Speech, Language, and Industry Model Strategy: Own the global strategy and roadmap for the Speech & Language Platform that powers Agentforce Voice, including S2S, STT/ASR, TTS, multilingual and monolingual support, accent and dialect adaptation, industry-specific models, speech quality, model selection, and API capabilities.*** **Global Language Expansion: Define Salesforce's worldwide language strategy, prioritize new languages, dialects, accents, and regional variants, and establish the quality bar and investment model required for global enterprise readiness.*** **Industry-Specific Models: Define and deliver domain-adapted speech and language models for strategic industries such as healthcare, financial services, public sector, communications, retail, automotive, and other terminology-intensive or regulated verticals.*** **Regional Product Leadership: Build regional product capability in geographies requiring deep linguistic, cultural, regulatory, or market-specific expertise, including Japan, EMEA, Southeast Asia, India, Latin America, and other priority markets.*** **Platform and Deployment Ownership: Own the product strategy for managed, self-hosted, private, and hybrid deployment models, including APIs, inference infrastructure, model packaging, lifecycle management, observability, and enterprise administration.*** **AI Model Management: Drive the selection, benchmarking, tuning, adaptation, orchestration, and lifecycle management of proprietary, open, and third-party speech models across languages, accents, industries, and deployment environments.*** **Performance and Quality: Partner with engineering and data science to continuously improve recognition accuracy, synthesis quality, latency, streaming performance, barge-in responsiveness, reliability, scalability, cost efficiency, and conversational naturalness.*** **Evaluation and Governance: Establish common evaluation frameworks, scorecards, test datasets, release criteria, and governance for language quality, accent performance, industry terminology, safety, compliance, fairness, and regional readiness.*** **Customer and Partner Engagement: Actively engage with customers, technology providers, implementation partners, and regional stakeholders to validate priorities, deliver roadmap updates, solicit feedback, and identify new market opportunities.*** **Product Lifecycle Management: Create and maintain comprehensive product requirements, documentation, operating metrics, and launch plans spanning ideation, development, release, adoption, optimization, and long-term maintenance.*** **Cross-Functional Alignment: Partner with sales, services, product marketing, regional leadership, and industry teams to define positioning, packaging, enablement, and go-to-market plans for Agentforce Voice capabilities.*** **Brand Ambassadorship: Represent Salesforce as a domain expert in enterprise voice AI, speech technology, multilingual systems, and industry-adapted models at customer briefings, industry events, and community forums.****Requirements*** ****Product Leadership:** 10+ years of professional experience in software product management within a high-growth enterprise technology environment, including experience leading senior product teams.*** ****Proven Track Record:** A history of driving customer success, building technically complex platforms, delivering successful product launches, and developing enthusiastic reference customers.*** ****Speech AI Expertise:** Deep understanding of S2S, STT/ASR, TTS, multilingual AI, monolingual optimization, accent and dialect modeling, speech synthesis, streaming inference, low-latency systems, and conversational AI architectures.*** ****Model and Platform Expertise:** Experience with model evaluation, fine-tuning or adaptation, hybrid model architectures, model routing, managed and self-hosted deployments, APIs, performance optimization, observability, and model lifecycle management.*** ****Domain Adaptation:** Experience adapting AI or speech systems for specialized terminology, workflows, acoustic conditions, compliance requirements, and customer-specific vocabularies. Experience in regulated or terminology-intensive industries is strongly preferred.*** ****Global Product Experience:** Demonstrated ability to build products across multiple languages and geographies, working effectively with regional teams and balancing global platform consistency with local market requirements.*** ****Methodology:** Working knowledge of Scrum, Lean, and Agile software development methodologies within the enterprise application software lifecycle.*** ****Communication:** Exceptional written and oral communication skills, with extensive experience presenting to executive leadership, engaging strategic customers, and navigating complex enterprise sales cycles.*** ****Leadership Style:** Experience operating in matrixed organizations with a collaborative, humble leadership style that empowers diverse teams with complementary technical, linguistic, regional, and industry expertise.*** ****Strategic Vision:** A firm grasp of the transformative impact of agentic technology and real-time voice interaction on customer service, employee productivity, and enterprise software.**Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.### ### ### ### At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $257,500 - $451,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $310,200 - $496,400 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. #J-18808-Ljbffr

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