Deployment Strategist
Company: David AI
Location: San Francisco
Posted on: April 2, 2026
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Job Description:
About David AI David AI is the first audio data research
company. We bring an R&D approach to data–developing datasets
with the same rigor AI labs bring to models. Our mission is to
bring AI into the real world, and we believe audio is the gateway.
Speech is versatile, accessible, and human—it fits naturally into
everyday life. As audio AI advances and new use cases emerge,
high-quality training data is the bottleneck. This is where David
AI comes in. David AI was founded in 2024 by a team of former Scale
AI engineers and operators. In less than a year, we’ve brought on
most FAANG companies and AI labs as customers. We recently raised a
$50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital),
Amplify Partners, First Round Capital and other Tier 1 investors.
Our team is sharp, humble, ambitious, and tight-knit. We’re looking
for the best research, engineering, product, and operations minds
to join us on our mission to push the frontier of audio AI. About
our Forward Deployed team Our Forward Deployed team works
side-by-side with customers on their most critical initiatives,
turning complexity into clarity and strategy into action. Embedded
deeply within customer organizations and connected tightly to
product, research, and engineering, we ensure that every engagement
creates meaningful impact for customers and accelerates the
evolution of David AI. About this role David AI is hiring a
Deployment Strategist to serve as a trusted partner to customers on
their most critical audio AI initiatives, shaping strategy and
guiding them on their approach to audio training. You’ll work
closely with senior stakeholders to uncover opportunities, define
priorities, and design solutions that enable David AI to deliver
consistently high-quality outcomes to our customers. In this role,
you will Lead our customer journeys end-to-end, from ideation to
launch. Build and foster strong customer connections and
consultative relationships across multiple business units and
levels within customer organizations. Translate customer objectives
and collaborate with our research and engineering teams to build
actionable strategies that guide long-term success. Uncover new
opportunities within accounts by identifying where David AI’s data
and research insights can add value. Develop and execute strategic
account plans that build stakeholder alignment, guide customers
through their decision and review process, and advance
opportunities with mutual close plans. Your background looks like 4
years of relevant experience (e.g., deployment strategy,
consulting, product or program management, founder, etc.), ideally
at a fast-growing startup or technology company. Familiarity with
the AI training lifecycle and have strong technical intuition for
what makes high-quality training data for advanced AI systems.
Skill in designing and executing building strategies to effectively
capture, grow, and retain revenue. Demonstrated excellence in
verbal and written communication. Proven project management
expertise with high attention to detail and exceptional
organizational ability. Deep experience building and managing
cooperative relationships across technical teams and senior
executives. Success thriving in dynamic, undefined situations,
contributing to both the design and execution of solutions. Bonus
points if you have A proven track record in B2B client-facing
roles, including opportunity generation and closing complex
solutions to technical customers. Education or professional
experience with CS, Engineering, Data Science, Statistics, or other
STEM fields. Proficiency in SQL, Python, or other data
science-related programming languages. Benefits Unlimited PTO.
Top-notch health, dental, and vision coverage with 100% coverage
for most plans. FSA & HSA access. 401k access. Meals 2x daily
through DoorDash snacks and beverages available at the office.
Unlimited company-sponsored Barry’s classes.
Keywords: David AI, Hayward , Deployment Strategist, IT / Software / Systems , San Francisco, California