Deployment Strategist
Company websitewithdavid.ai (David AI, opens in new tab)
Base salary $145K to $175K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA +1 more
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
All places named
- San Francisco, CA
- New York City, NY
About this job
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.
Source: David AI on Ashby · View original posting (opens in new tab)
This listingDeployment Strategist$145K to $175K
Technical Product Manager$145K to $225K
Senior Technical Sourcer$140K to $170K
Head of Quality Assurance Operations$150K to $200K
Product Engineer, Backend$165K to $225K
Data Product Operations Lead$125K to $175K
Product Engineer, Full Stack$165K to $225K
Chart as a table
| Role | Published base |
|---|---|
| Deployment Strategist (this listing) | $145K - $175K |
| Technical Product Manager | $145K - $225K |
| Senior Technical Sourcer | $140K - $170K |
| Head of Quality Assurance Operations | $150K - $200K |
| Product Engineer, Backend | $165K - $225K |
| Data Product Operations Lead | $125K - $175K |
| Product Engineer, Full Stack | $165K - $225K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2025-08-17
Where this pay comes from
Location as the employer wrote it: San Francisco • New York City
USD 145,000 – 175,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
