Engagement Manager (Expert Data Labs)
Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Aug 27, 2026.
About us
Office Hours is an on-demand expert network that connects leading organizations with trusted experts across various knowledge domains. Experts earn income by sharing their knowledge through advisory work, projects, and AI model training. Our platform handles the complexities behind the scenes- screening, compliance, scheduling, and payments-so knowledge sharing stays focused on meaningful insights and real impact.
We’re a hyper-growth and profitable company, quickly expanding our expert network, launching new offices, and new products. We are headquartered in San Francisco, with offices in Brooklyn and Bangalore. Our customers include the fastest-growing digital health companies, technology companies, institutional investment firms, consulting firms and AI Labs. We are backed by top marketplace investors and operators of companies like DoorDash, Airbnb, Affirm..
What We Believe
Human knowledge is the world’s most valuable asset. And yet, despite being more interconnected than ever, most knowledge still remains stuck in our heads, inaccessible and underutilized. Our vision is to make human knowledge easily accessible and infinitely scalable by building tools for the new age knowledge economy.
About the role
As an Engagement Manager, you will own the execution and delivery of high-impact AI data generation and model improvement projects in healthcare and clinical domains. You'll work closely with customers and internal teams to ensure projects are delivered with high quality, speed, and reliability.
We're hiring across a range of seniority levels for this role. More senior Engagement Managers will take on greater ownership of commercial outcomes and customer strategy, while more junior hires will focus on driving day-to-day execution. Across all levels, this role offers growing exposure to customer strategy and commercial decision-making, with commercial and leadership skills expected to develop over time - and already demonstrable in more senior candidates.
What you’ll do
Own a book of business, with accountability for revenue, margin, retention, and expansion.
Lead end-to-end creation and delivery of advanced AI model training datasets.
Coordinate distributed teams of clinical and life sciences experts.
Maintain high quality standards through strong guidelines and QA processes.
Improve operational systems to increase speed, quality, and consistency.
For senior candidates: Own deal scoping, pricing, and expansions planning.
For senior candidates: Own day-to-day customer relationships with foundation model companies, leading life sciences organizations, and research labs and act as a trusted partner.
What you bring
2-6 years owning outcomes in human data operations, consulting, strategy, or other fast-paced operationally heavy roles.
Strong executor who enjoys owning complex projects end-to-end.
Comfortable working with demanding, technical customers.
Detail-oriented and quality-focused, especially in regulated environments.
Clear, structured communicator across technical and non-technical audiences.
Able to operate independently with accountability and urgency.
We expect commercial acumen and leadership to grow with experience in this role, candidates at the senior level of this role should already demonstrate these skills.
Why Office Hours
Work directly with frontier AI teams, build deep execution skills, and take on a large mandate with plenty of opportunities to drive impact.
Execution ownership: Own delivery and project execution on a $XXM book of business, communicating updates and owning client outcomes.
Commercial ownership (senior candidates): Own commercial outcomes on a $XX book of business, owning P&L for your team.
Frontier customers: Work directly with foundation model companies, life sciences technology leaders, and top research labs.
High impact: Your work will impact care quality and clinical outcomes, and accelerate the development of novel drugs.
Career acceleration: Build the skills to become a GM, Head of Ops, or leader of a major business line.
Benefits + Perks
Competitive salary and equity
Medical, dental, and vision coverage
401(k)
Monthly wellness and fitness stipend
Paid time off policy, along with company holidays
Annual company off-sites (Tahoe, Mendocino, Mexico City, San Diego, Park City)
Parent-friendly policies, remote flexibility, and paid family leave
Join our team and help everyone realize the true power of what they know!
Pay Transparency Notice:
Full-time offers include salary, target equity, and benefits
Base: $130,000-$180,000 with aggressive performance-based bonus
This is a hybrid role, in our New York or San Francisco office 3 days per week.
Don’t meet every single requirement? Studies have shown that some candidates, especially underrepresented groups such as women and people of color, are less likely to apply to jobs unless they meet every single qualification. At Office Hours we believe in building a diverse and inclusive workplace, so if you’re excited about this role but don’t meet every qualification in the job description, we still encourage you to apply. You could still be the right candidate for this or other roles at Office Hours!