Product Manager, Deploy Data
- Salary
- $120,000 - $170,000
- Level
- Lead
- Work type
- On-site · San Francisco
Not stated in the posting: visa.
Open. First seen 22 October 2026.
About the role
About Deploy
Deploy is an intelligence infrastructure platform that gives developers and enterprises access to open source and proprietary AI models. For leading open source LLMs, Deploy operates an optimized model inference engine that keeps costs and latency low while maintaining high throughout. Deploy also offers a set of proprietary AI models that address challenges in content safety, AI & deepfake detection, sponsorship intelligence, and IP & publicity protection.
Trusted by the world's largest and most innovative organizations, Deploy's solutions unlock high-performance AI model inference at production scale.
Deploy has raised more than $200M from leading investors, including Tomales Bay Capital, General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. The company has more than 250 employees across offices in San Francisco, Seattle, New York, and Delhi.
Product Manager, Deploy Data Role
The Deploy Data team plays a central role at Deploy in enabling massive amounts of data to be labeled in an accurate, efficient, and scalable way. You'll take a critical part in improving a platform of services and tools used by millions, and which is paramount to the success of bleeding edge ML products and research.
As a Product Manager, you will be an essential part of the Deploy team, working effectively across all disciplines to build, launch, and iterate. You will work closely with all stakeholders to define product requirements and see implementation through to completion, leading development efforts between engineering and design. You will play a central role in helping each team succeed and promoting productivity, efficiency, risk management, and continuous improvement.
You are passionate about organization, experienced in working with agile teams, have a good understanding of best practices in software engineering, highly effective in communicating and problem solving, and have experience managing enterprise projects.
Responsibilities
- Oversee product execution from inception to delivery
- Gain deep understanding of our enterprise customers’ needs
- Mock up concepts, write specs, cut tickets, write copy and do whatever it takes to ship your products
- Work closely with teams comprised of engineers, designers, sales, and play a critical role in planning of projects to ensure the timely delivery of quality products and features
- Help teams estimate and decompose complex projects into manageable parts with delivery plans, and track progress against those plans
- Work with teams to drive alignment, remove blockers, anticipate and make tradeoffs, and balance business needs against technical constraints throughout project lifecycles
- Facilitate the resolution of timing conflicts, project collisions, and resourcing constraints, and identify and remove bottlenecks
- Work with leadership to determine top priorities and ensure development work reflects those priorities
- Communicate plans, status, risks (and mitigations) to all stakeholders, escalate urgent issues appropriately and drive them to closure
- Measure engineering velocity, and help identify and establish new best practices to improve the speed and security at which projects are delivered
- Hold yourself and team members accountable to timelines
- Maintain awareness of industry best practices for data maintenance handling as it relates to your role
- Adhere to policies, guidelines and procedures pertaining to the protection of information assets
- Report actual or suspected security and/or policy violations/breaches to an appropriate authority
Requirements
- BA / BS, preferably in computer science or a related technical field
- A track record of building web products, preferably in a startup or fast-paced environment
- You have technical experience with any of the following: data, analytics, design or engineering
- Technical depth that lets you understand tradeoffs and ask engineers insightful questions about architecture and product decisions alike
- Strong quantitative background to support data-informed decision making
- Experience working with engineering, design, and customers in enterprise software or related technical fields
- Experience leading a team, and effectively implementing team goals and deadlines
- Detail oriented; organized; collaborative; hands on
- Exceptionally clear and precise communication skills
- Self-starter, capable of staying on track while pursuing solutions with minimal supervision
- Ability to work under pressure, meet deadlines, and handle multiple projects simultaneously
- You are comfortable with — and can thrive in — an environment that is constantly changing, frequently uncertain, and at times chaotic
- You can turn incomplete, conflicting, or ambiguous inputs into solid action plans
- Beyond just shipping new products, you obsess about continuous product improvement
Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Deploy, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Deploy and we hope to meet you soon!
The current expected base salary for this position ranges from $120,000 - $170,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
What this role asks for
Particular to this role
LLM
Rare in Hive's other 42 open postings.
Compared with Hive's other open jobs.
The team: Product & Engineering HIRES STEADILY
This role is one of 71 open in Product & Engineering. 36 were posted in the last 30 days and the oldest in November: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Machine Learning (39 of 71), LLM (34 of 71), OWASP (34 of 71), Node.js (29 of 71), Python (27 of 71), JavaScript (26 of 71), Deep Learning (20 of 71)
OTHER ROLES ON THIS TEAM
- Frontend Engineer posted Oct 22
- Software Engineer - Frontend posted Oct 15
- Software Engineer - Frontend posted Oct 15
- UI / UX Designer posted Oct 15
- Systems Engineer / DevOps posted Oct 15
- Machine Learning Engineer posted Oct 15
- Staff Software Engineer - Backend posted Oct 15
- Staff Software Engineer - Backend posted Oct 15
- Forward Deployed Software Engineer posted Oct 15
- Staff Machine Learning Engineer posted Oct 15
- Engineering Manager posted Oct 15
- Staff Machine Learning Engineer posted Oct 15
- Engineering Manager posted Oct 15
- Data Center Technician posted Oct 15
- Business Analyst, Deploy Models posted Oct 15
- Associate Product Manager, Deploy Models posted Oct 15
- Software Engineer - Backend posted Oct 15
- Software Engineer - Backend posted Oct 15
- Senior Software Engineer - Frontend posted Oct 15
- Senior Software Engineer - Frontend posted Oct 15
- Senior Software Engineer - Backend posted Oct 15
- Senior Site Reliability Engineer posted Oct 15
- Senior Site Reliability Engineer posted Oct 15
- Senior Software Engineer - Backend posted Oct 15
- Senior Site Reliability Engineer posted Oct 15
- Senior Machine Learning Engineer posted Oct 15
- Senior Machine Learning Engineer posted Oct 15
- Security Engineer posted Oct 15
- Security Engineer posted Oct 15
- Product Manager, Deploy Models posted Oct 15
- Product Manager, Consumer Applications posted Oct 15
- Product Manager, AutoML posted Oct 15
- Machine Learning Manager posted Oct 15
- Machine Learning Manager posted Oct 15
- Machine Learning Engineer posted Oct 15
- Associate Product Manager, Hive Models posted Jul 23
- Forward Deployed Software Engineer posted Feb 13
- Product Manager, AutoML posted Feb 27
- Product Manager, Consumer Applications posted Feb 27
- Data Center Technician posted Feb 9
- Staff Software Engineer - Backend posted Apr 21
- Staff Machine Learning Engineer posted Apr 21
- Software Engineer - Backend posted Apr 21
- Senior Software Engineer - Backend posted Apr 21
- Senior Site Reliability Engineer posted Apr 21
- Senior Machine Learning Engineer posted Apr 21
- Senior Software Engineer - Frontend posted Apr 21
- Security Engineer posted Apr 21
- Machine Learning Manager posted Apr 21
- Machine Learning Engineer posted Apr 21
- Software Engineer - Frontend posted Apr 21
- Engineering Manager posted Apr 21
- Senior Site Reliability Engineer posted Apr 20
- Machine Learning Manager posted Jan 24
- Senior Machine Learning Engineer posted Dec 10
- Staff Machine Learning Engineer posted Dec 10
- Senior Software Engineer - Frontend posted Nov 23
- Senior Software Engineer - Backend posted Nov 23
- Staff Software Engineer - Backend posted Nov 23
- Product Manager, Hive Models posted Jun 22
- Security Engineer posted May 6
- Systems Engineer / DevOps posted Jan 15
- Software Engineer - Backend posted Jan 15
- Product Manager, Hive Data posted Jan 15
- Machine Learning Engineer posted Jan 15
- Software Engineer - Frontend posted Jan 15
- Engineering Manager posted Jan 15
- Business Analyst, Hive Models posted Jan 15
- UI / UX Designer posted Nov 13
- Frontend Engineer posted Nov 13
From the team and dates on Hive's own job board.
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