Raydar Logo

Raydar

Operations Analyst

Posted 4 Days Ago
In-Office
San Francisco, CA, USA
80K-125K Annually
Entry level
In-Office
San Francisco, CA, USA
80K-125K Annually
Entry level
Designs and improves operational processes for a growing software company, especially customer setup and revenue-driving workflows. Manages customer onboarding across internal teams and vendors, resolves complex operational issues, documents processes, collaborates with leadership, and builds AI-powered automations. Requires operational workflow experience, product operations knowledge, hands-on AI automation experience, spreadsheet and data analysis skills, and a bachelor’s degree.
The summary above was generated by AI

About the company

Our client is a fast-growing software company.

The role

Raydar is recruiting for this role on behalf of our client. Design, formalize and refine the operational processes that support a fast-growing software business, with a focus on customer setup and the steps that drive revenue growth. The role works across internal teams and outside vendors and uses AI tooling to automate routine operational work.

What you'll do

- Run a steady flow of operational tasks that directly affect revenue and company growth.

- Own the process for setting up new customers from start to finish, making sure each step is efficient and accurate across internal teams and external vendors.

- Find creative solutions to complex operational problems, test new approaches and document what works.

- Work closely with leadership to share feedback and ideas that speed up operational processes.

- Build projects with AI tooling to automate operational work.


Requirements

What we're looking for

- Prior experience managing the full lifecycle of an operational workflow, such as account setup or launch work, ideally in an early-stage company.

- Experience in product operations.

- Bachelor's degree.

- Hands-on experience building with AI to automate operational work, beyond simple prompting, such as structured prompting, lightweight internal tools or connecting tools into LLM workflows.

- Strong technical aptitude with spreadsheets and data analysis.

Bonus points

- Degree in a technical-leaning field such as MIS, data or business analytics.

- Comfort reading scripts written in a common programming language.


Benefits

Compensation and benefits

- Base salary: USD 80,000 to 125,000 per year

- Equity

- Health benefits including vision coverage

- Unlimited paid time off

Location and work model

- San Francisco, California, United States

- On-site

- Full-time

Similar Jobs

Yesterday
In-Office
62K-90K Annually
Mid level
62K-90K Annually
Mid level
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
Supports Operations and Customer Relations teams through data analysis, reporting, and dashboard development. Translates stakeholder needs into actionable insights, monitors call center performance and customer trends, analyzes resourcing and operational metrics, and guides projects from scoping through delivery. The role also trains team members on data tools and best practices and partners with operational leadership to improve analytical self-sufficiency.
Top Skills: BigQueryGoogle Cloud PlatformGoogle SheetsLightdashLookerExcelSalesforceSQLTableau
Yesterday
Easy Apply
Remote or Hybrid
United States
Easy Apply
84K-165K Annually
Expert/Leader
84K-165K Annually
Expert/Leader
Big Data • Cloud • Software • Database
Leads the technical direction and roadmap for MongoDB’s GTM analytics model portfolio. Translates sales and operations questions into scalable statistical and machine learning models, data pipelines, dashboards, experiments, and executive recommendations. Owns forecasting, segmentation, territory, account prioritization, and customer analytics programs; establishes model governance and measurement standards; partners with senior GTM stakeholders; and mentors analysts and data scientists.
Top Skills: LookerMongodb AtlasPythonSalesforceSigmaSQLTableau
6 Days Ago
In-Office
66K-120K Annually
Mid level
66K-120K Annually
Mid level
Aerospace • Information Technology • Software • Cybersecurity • Design • Defense • Manufacturing
Evaluates customer requests for fabricated parts by reviewing engineering drawings, specifications, manufacturing capability, materials, and capacity. Develops bills of materials, schedules, and lead-time estimates; monitors order progress and communicates results. Coordinates with organizational stakeholders to meet customer commitments, mitigate held conditions, and implement recovery schedules. The role requires aerospace experience with metallic part fabrication, assembly, manufacturing planning, tooling coordination, and work instruction development.
Top Skills: Bills Of Materials (Bom)Engineering DrawingsManufacturing ProcessesManufacturing SpecificationsMetallic Part FabricationProduction PlanningSchedulingTooling CoordinationWork Instructions

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account