Similar Jobs
Fintech • Payments
Analyzes sales data, recommends process improvements, enhances operational efficiency, prepares management reports, resolves complex customer inquiries, and mentors junior analysts. The role collaborates with internal teams and supports effective sales and revenue operations processes and programs.
Fintech • Payments
Analyzes sales data, recommends process improvements, enhances operational efficiency, prepares management reports, resolves complex customer inquiries, and mentors junior analysts. The role collaborates across internal teams to improve sales processes and communication while independently determining effective solutions.
Fintech • Payments
Analyzes sales data, recommends process improvements, collaborates with internal teams to improve operational efficiency, prepares management reports, resolves complex customer inquiries, and mentors junior analysts. The role supports revenue operations and sales processes while working independently to determine appropriate actions and solutions.
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.
We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
As Encord's Revenue Operations Analyst, you'll be the operational backbone of our go-to-market engine. This is a high-impact, high-ownership role sitting at the intersection of data, systems, and strategy — where your work directly shapes how a fast-scaling AI company grows.
You'll partner closely with Sales, Marketing, and Leadership to build the infrastructure, reporting, and automation that keep our revenue motion running at peak efficiency. From owning pipeline forecasting to prototyping AI-powered agents that eliminate manual work, you'll be both a strategic thought partner and a hands-on builder.
This isn't a "maintain the spreadsheet" role. It's an opportunity to architect scalable systems from the ground up, influence executive decisions with clean data, and leverage cutting-edge AI tools to 10x what a RevOps function can do. If you're analytically sharp, technically curious, and energised by solving complex operational problems — you'll thrive here.
What you'll do
- Prototype and deploy AI-powered agents to automate manual workflows, enhance reporting, and increase GTM productivity
- Partner with Sales leadership on capacity planning, quota modelling, and headcount strategy
- Own and evolve our reporting infrastructure across pipeline, forecasting, conversion, and GTM performance
- Drive Hubspot data integrity and pipeline hygiene as a core operating principle
- Design scalable workflows and automation that remove friction from the GTM motion
- Translate complex data into actionable insights for leadership
- Act as the systems architect behind a high-performing revenue engine
- Support territory planning and management, including account segmentation, assignment, and coverage optimisation
- Deliver accurate reporting on pipeline, forecast, conversion rates, and overall GTM performance
- Own lead and account routing logic to ensure speed-to-lead and clean distribution
Who we're looking for
- Analytical, systems-oriented thinker who sees operations as an optimisation problem
- Comfortable building structured models and simplifying complex GTM processes
- Strong communicator who can partner cross-functionally with Sales, Marketing, and Leadership
- Technically curious — excited about leveraging AI, automation, and tooling to 10x efficiency
- High ownership mindset — you don’t just report problems, you design solutions
- Bias toward building scalable systems rather than manual fixes
Experience requirements
- 1–3+ years in RevOps, Sales Ops, Analytics, or a similarly quantitative role
- Advanced HubSpot experience (workflows, automation, reporting, pipeline governance)
- Strong modelling skills in Google Sheets / Excel
- Experience working with CRM integrations and data flows
- Comfortable experimenting with AI tools, APIs, automation platforms, or lightweight scripting
- Experience working with sales forecasting, pipeline reporting and GTM Systems (Clay, Apollo, Amplemarket, Gong).
Why Encord
- Competitive salary, commission, and meaningful equity in a high-growth start-up
- Clear, accelerated growth opportunities as the company scales rapidly
- Strong in-person culture: 3–5 days/week in our newly launched North Beach loft office
- Flexible PTO to fully recharge
- 18 paid vacation days in the U.S. plus federal holidays
- Annual learning & development budget
- Comprehensive health, dental, and vision coverage
- Frequent travel opportunities across the U.S., London, and Europe
- Bi-annual company offsites, twice-weekly team lunches, and monthly socials
Encord San Francisco, California, USA Office
832 Sansome St, San Francisco, California, United States, 94111 1548
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
