Technical Program Manager, Scale AI
Gen AI Operations Planning
$151.2-189k
+ Equity
3 days a week in office
Training and validation data for AI applications
Open for applications
Training and validation data for AI applications
1001+ employees
Open for applications
$151.2-189k
+ Equity
3 days a week in office
1001+ employees
Company mission
To develop reliable AI systems for the world's most important decisions.
Role
Who you are
- We are seeking a Technical Program Manager
What the job involves
- Scale’s Operations Planning Team sits at the intersection of Engagement Management (EM), GenAI Delivery, GTM, and Growth Ops
- The Planning TPM reduces friction between customer requirements and delivery by centralizing planning, standardizing reporting, and driving consistent process execution across accounts
- As a TPM on Planning you will own program-level planning and systems workstreams that translate demand into reliable production plans, validate staffing, and ensure opportunities move through ingest accurately
- This role combines program management, operational rigor, analytics literacy, and strong stakeholder management, with the goal of making account planning predictable, auditable and scalable
- This is a role designed to build deep account knowledge: each Planning TPM will ultimately be assigned to support 1–2 priority accounts to develop the context and relationships required to drive lasting operational improvements and more accurate planning and forecasting
- Ensure project-level customer demand is captured accurately, consistently and at the right level of granularity
- Own day-to-day monitoring and execution of Production Plan and Opportunity Forecast; act quickly on demand changes
- Partner with Supply Ops to review the Production Plan weekly (PP, TCD, historical productive hours) and drive forecasting accuracy and adjustments
- Surface forecast risks and coordinate tactical interventions through the Ops Planning leads
- Create/validate staffing requests and communicate staffing changes to Delivery teams, STOs and EMs
- Monitor account-level FTE budgets and employee spend; contribute to cost/benefit analysis of staffing vs. revenue
- Stress-test staffing scenarios to provide early warnings on headcount risks and to inform hiring / reallocation decisions
- Validate staffing tracking accuracy weekly; identify and correct discrepancies in project-level staffing data
- Ensure all revenue-generating opportunities are correctly logged in Opportunity Ingest (Linear) and that scoping is consistent
- Act as the owner for opportunities as they move through the ingest workflow — expedite translation of demand signals into the forecast (Airtable / PP / OF)
- Run weekly checks to confirm Opportunity Forecast accuracy, and coordinate tactical scoping fixes when needed
- Actively participate in core account meetings (ops, finance, GTM, delivery) as the Ops demand operational lead
- Design, build and maintain scalable planning tools and account-level reporting artifacts (ramp planning sheets, account dashboards, account playbooks)
- Standardize and centralize information flow across customer ops pillars (demand forecasting, staffing, opportunity ingest)
- Drive systems enablement, process documentation (SOPs), and handoffs that reduce manual work and increase reliability
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. So, 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 & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
- Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
- Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
- Parental Support: 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
Alexandr Wang
(Founder & CEO)Previously, Alexandr was an Algorithm Developer at Hudson River Trading, a Tech Lead and Quora and a Software Engineer at Addepar.
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