Product and Operations Lead

Posted 8 Days Ago
San Francisco, CA, USA
In-Office
150K-250K Annually
Junior
Professional Services • Consulting
The Role
Leads client relationships and translates feedback into priorities for product and research teams. Coordinates delivery across product, research, operations, and partnerships while building scalable internal processes. Advises technical and commercial stakeholders on data assets, model quality, and machine learning technology. Supports strategic initiatives, special projects, and the evolution of client engagement in a fast-growing startup.
Summary Generated by Built In

About the company

Our client is a fast-growing technology company.

The role

Raydar is recruiting for this role on behalf of our client. Serve as a versatile operator who owns key external relationships and keeps work moving across product, research and operations. The position blends technical credibility with polished communication and includes creating repeatable internal processes as the organization grows.

What you'll do

- Build and maintain strong relationships with sophisticated, technically minded clients.

- Convert client feedback into clear priorities for internal product and research groups.

- Act as a trusted advisor to both clients and internal technical colleagues.

- Coordinate delivery across research, product, operations and partnership functions.

- Identify process bottlenecks and introduce systems that scale.

- Take on important special projects wherever the business needs extra help.

- Partner with scientists, engineers and executives on open-ended initiatives that change quickly.

- Guide discussions about data assets, model quality and the technology behind machine learning work.

- Help define how client engagement and internal operations evolve as the business expands.


Requirements

What we're looking for

- 1 to 2 years of relevant work experience.

- A degree in computer science or a closely related technical discipline.

- Solid grasp of machine learning workflows, especially how data is prepared and used for training.

- Technical knowledge sufficient to earn the respect of engineering and research peers.

- Understanding of how the quality and composition of data influence training results.

- Clear, persuasive written and spoken communication with senior technical audiences.

- Skill at bridging technical and commercial perspectives.

- Strong curiosity, emotional intelligence and general problem-solving ability.

- A resourceful, self-starting approach and a willingness to learn on the job in a fast-paced startup.

- Ability to work on-site five days a week.

Bonus points

- Established contacts at AI research organizations or model developers.

- Prior work at a data services provider supporting AI teams.

- An engineering degree plus early-career time in top-tier consulting, banking or an associate product role at an AI company.

- Exposure to video, media or content technologies.

- Early-stage startup experience, particularly helping stand up a client-facing function from the ground up.

- Experience in product management, technical operations or a client-facing technical position.


Benefits

Compensation and benefits

- Base salary: USD 150,000 to 250,000 per year

- Equity

- Health insurance

Location and work model

- San Francisco, CA, United States

- On-site, 5 days per week in office

- Full-time

Skills Required

  • 1 to 2 years of relevant work experience
  • Bachelor's degree in computer science or a closely related technical discipline
  • Understanding of machine learning workflows, including data preparation and training
  • Technical knowledge sufficient to collaborate credibly with engineering and research teams
  • Understanding of how data quality and composition influence training results
  • Clear, persuasive written and spoken communication with senior technical audiences
  • Ability to bridge technical and commercial perspectives
  • Curiosity, emotional intelligence, and problem-solving ability
  • Resourceful, self-starting approach and willingness to learn in a fast-paced startup
  • Ability to work on-site five days per week in San Francisco
  • Established contacts at AI research organizations or model developers
  • Experience at a data services provider supporting AI teams
  • Engineering degree plus early-career experience in top-tier consulting, banking, or an associate product role at an AI company
  • Exposure to video, media, or content technologies
  • Early-stage startup experience, particularly building a client-facing function
  • Experience in product management, technical operations, or a client-facing technical position
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
28 Employees
Year Founded: 2021

What We Do

Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.

Similar Jobs

Shield AI Logo Shield AI

Product Strategy & Operations Sr. Lead, X-BAT Family of Systems (FoS) (R6083)

Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
In-Office
5 Locations
160K-300K Annually

Shield AI Logo Shield AI

Product Strategy & Operations Sr. Lead, X-BAT Family of Systems (FoS) (R6012)

Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software • Defense Technology
In-Office
6 Locations
160K-300K Annually

Scale AI Logo Scale AI

Product Operations Lead, Generative AI

Artificial Intelligence • Big Data • Machine Learning
In-Office
2 Locations
523 Employees
181K-226K Annually

Databricks Logo Databricks

Staff Product Operations Lead, Marketplace Operations

Big Data • Machine Learning • Software • Analytics • Big Data Analytics
In-Office
2 Locations
2200 Employees
167K-230K Annually

Similar Companies Hiring

Energy CX Thumbnail
Greentech • Professional Services • Business Intelligence • Consulting • Energy • Financial Services • Utilities
Chicago, IL
150 Employees
Northslope Thumbnail
Artificial Intelligence • Information Technology • Software • Analytics • Consulting • Generative AI
London, GB
100 Employees
Cravath, Swaine & Moore LLP Thumbnail
Legal Tech • Other • Professional Services
New York, NY
1200 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account