Director of Strategic Product Management, Scale AI
Strategic Accounts
$220-264k
+ Equity + Stock options
Training and validation data for AI applications
Be an early applicant
Training and validation data for AI applications
1001+ employees
Be an early applicant
$220-264k
+ Equity + Stock options
1001+ employees
Company mission
To accelerate the development of AI applications.
Role
Who you are
- Leadership Experience: 8+ years in product management with a track record of successfully leading cross-functional teams and influencing senior stakeholders
- Strategic Vision: Ability to distinguish between one-time custom solutions and opportunities for recurring revenue products that serve multiple customers
- Commercial Acumen: Experience developing pricing models and go-to-market strategies for technical products with demonstrable business impact
- Technical Depth: Strong understanding of AI/ML data requirements and the ability to communicate effectively with both technical and business stakeholders
- Entrepreneurial Mindset: Proven ability to identify market opportunities and build scalable solutions from the ground up
- Data-Driven Decision Making: Experience using metrics and customer insights to inform product strategy and prioritization
- Results Orientation: Track record of delivering complex products that drive significant revenue growth and customer satisfaction
What the job involves
- As Director of Strategic Product Management for Strategic Accounts, you will lead the intelligence hub that transforms successful customer pilots into scalable, high-margin off-the-shelf data products
- You'll develop the strategic guardrail that determines which research initiatives should evolve into sustainable products that serve broad markets beyond initial custom implementations
- Translate Customer Insights into Scalable Products: Synthesize findings from customer pilots and model evaluations to drive development of scalable solutions aligned with commercial goals and customer needs
- Establish Data-Driven Decision Framework: Build robust metrics and feedback loops to identify performance opportunities, address loss buckets, and optimize gross margins across different data types
- Define Product Pricing Strategy: Develop market-driven pricing strategies for OTS data offerings that balance customer value, competitive positioning, and cost structures while collaborating with Finance to ensure profitability
- Build High-Quality Data Products: Create production-ready labeling interfaces, evaluation frameworks, and reliable data pipelines that ensure consistent quality at scale
- Lead Product Transitions: Guide the successful handoff of validated, scalable data products to the AI Products team for long-term iteration and commercialization
- Drive Technical Excellence: Partner with Engineering and Applied ML teams to design robust data pipelines and workflows that handle large-scale adoption with minimal operational overhead
- Shape Strategic Direction: Work closely with leadership to prioritize high-impact OTS opportunities that focus on sustainable revenue growth and strengthen Scale's market position
Our take
When training AI models, lack of access to large scale, high quality, labelled data is often the barrier preventing machine learning teams from building something great. In fact, labelled data is even more essential than the algorithms themselves. Scale AI is solving this by providing easy access through developer APIs to a huge variety of labelled data sets covering a large range of areas within computer vision and natural language processing.
It seems that almost every company now is offering artificial intelligence enabled products to automate every aspect of our lives. By positioning themselves as the go-to source for high quality tagged data, Scale AI is in an excellent position as the AI sector continues it's exponential growth.
With innovative AI projects across a range of sectors including retail, energy, and healthcare, Scale AI is now a leader in the industry alongside OpenAI. It continues to forge partnerships with fintech tools and software engine developers such as Brex and Luminar to continue its evolution of digital markets.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
May 2024
$1bn
SERIES F
Apr 2021
$325m
SERIES E
Total funding: $1.6bn
Company benefits
- Health, Dental & Vision Coverage: Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options
- Easy to use 401(K): Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings
- Wellness Fund: We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more
- Virtual Social Activities: Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships
- Learning & Development: We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey
- Flexible Work Hours: Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule
- Generous Paid Time Off: Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed
- Commuter Benefits: Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute
- Parental Leave: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life
Company HQ
Rincon Hill, San Francisco, CA
Leadership
Alexander Wang
(CEO)Dropped out of a bachelors degree at MiT in Computer Science and Mathematics. Previously worked for 2 years as a Software Engineer and Algorithm Developer in the finance industry and 2 years as a Tech Lead at Quora. Youngest founder funded by Accel as a teenager.
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