RevOps Analyst

Posted 2 Days Ago
Be an Early Applicant
Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • Machine Learning • Security • Software • Financial Services • Generative AI • Automation
AI-native transaction monitoring and AML compliance solutions
The Role
Own and maintain HubSpot end-to-end, enforce pipeline hygiene, build revenue reporting, automate revenue processes and digital sales room workflows, calculate commissions and resolve disputes, and present insights to management. Use AI tooling and moderate coding (JavaScript/Python) to automate RevOps workflows and support a fast-scaling B2B SaaS revenue org.
Summary Generated by Built In

About Flagright:

Flagright is the AI operating system for financial crime compliance used globally by Fortune 500 companies, large banks, fintechs, and fast growing startups. Flagright enables real-time risk detection, automated investigations, and intelligent decisioning, helping compliance teams operate at their full potential in the fight against financial crime.

We operate as a lean, high-performance team with high individual ownership and direct access to leadership.

The Role

The Sr RevOps Analyst will play a crucial role as Flagright scales. You will own the systems, data, and analysis that make our global revenue org predictable, from the CRM data model through process design and commissions.

People who thrive at Flagright:

  • Have been knocked down before and gotten back up

  • Are resourceful—they figure things out with whatever tools are available

  • Have strong opinions and can defend them

  • Are hungry to learn & contribute

  • Want to work with no-BS people

People who struggle here:

  • Need extensive hand-holding

  • View high expectations as “unreasonable”

  • Expect strict 9 to 6 boundaries

  • Can’t handle ambiguity or rejection

  • Prefer consistent routine over fast-changing priorities

Key Responsibilities:
  • Own HubSpot end to end: pipeline stages, properties, objects and associations, ownership and routing rules, permission scoping, deduplication, and data quality.

  • Enforce pipeline hygiene. Define the standard for what a clean record looks like, monitor it continuously, build automation, chase down stale deals and missing fields, and hold reps accountable to it

  • Build and maintain the reporting layer the revenue team runs on, covering pipeline coverage, stage conversion, cycle length, win rates by segment and source, and rep activity against outcomes

  • Maintain digital sales room automations and keep them updates on an ongoing basis including their design and content

  • Design and automate the revenue process: deal handoff criteria, entry and exit criteria for every pipeline stage, SLA definition and enforcement, territory and account assignment logic

  • Own commission calculation for the sales team; run the monthly cycle accurately and on time, and resolve disputes with data

  • Experience using AI tooling to automate tasks & build RevOps related workflows

  • Present pipeline and performance insights to management with automated & ad-hoc reports

Who we are looking for:
  • Based in Bangalore this is an in office position

  • 4+ years in sales operations or revenue operations in B2B SaaS

  • Hands-on HubSpot experience. You have configured it, not just used it: custom properties, workflows, associations, permission sets, reporting, and integrations. Salesforce-only backgrounds are not a fit for this role

  • Background at a Series A to C stage scale-up. You have lived through at least one phase of rapid headcount growth and seen sales processes break and get rebuilt. You know the difference between a process that works at 8 reps and one that works at 40.

  • Moderate coding skills (JavaScript and Python)

  • Builder's mindset. Comfortable with ambiguity, first-principles thinking, and shipping process before it is perfect

  • Experience in and willingness to own and maintain digital sales room tooling on an ongoing basis

  • Excellent written English. Much of this role is documentation & process design that other people have to follow

  • Bachelor's degree in engineering, economics, statistics, mathematics, commerce, or business.

What we offer:
  • Ownership of the revenue operating system at a fast-scaling company

  • Product with clear, real-world differentiation

  • High-bar environment focused on execution, learning, and continuous improvement

  • Get equity from day 1 at a Y Combinator startup

  • Work alongside a highly competent, top-tier team, including professionals from Y Combinator, ex AWS, and Palantir

  • Enjoy a low-bureaucracy environment, minimal meetings, and an asynchronous communications culture

Skills Required

  • Based in Bangalore; in-office position
  • 4+ years in sales operations or revenue operations in B2B SaaS
  • Hands-on HubSpot configuration experience (custom properties, workflows, associations, permission sets, reporting, integrations)
  • Salesforce-only backgrounds are not a fit
  • Background at a Series A to C stage scale-up
  • Moderate coding skills in JavaScript and Python
  • Experience using AI tooling to automate tasks and build RevOps workflows
  • Experience owning and maintaining digital sales room tooling and automations
  • Excellent written English and strong documentation/process design skills
  • Bachelor's degree in engineering, economics, statistics, mathematics, commerce, or business
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The Company
HQ: San Francisco, California
35 Employees
Year Founded: 2021

What We Do

Flagright sets the modern standard for AI-native transaction monitoring. The platform enables financial institutions to centralize detection, investigation, and reporting of suspicious activity, streamlining regulatory workflows and strengthening financial crime controls. A high-performance, no-code scenario builder with sub-second API response times powers real-time monitoring, supported by tailored rules, dynamic risk profiling, and simulation tools that reduce false positives and improve decision accuracy. This transaction monitoring foundation is enhanced by fully integrated AML screening that links each transaction and entity to global sanctions and watchlists; dynamic risk scoring that embeds behavioural and contextual risk directly into detection logic; and centralized case management that automates alert triage, investigation workflows, and SAR filing, maintaining audit-readiness across jurisdictions. Flagright’s AI Forensics suite strengthens compliance operations across four critical areas: screening (reduces false positives in AML checks), monitoring (augments alert investigation capabilities), quality assurance (accelerates QA processes), and governance (simplifies policy management and regulatory compliance). Financial institutions moving from fragmented tools to Flagright report a 93% reduction in false positives, 80% lower compliance costs, and a 27% drop in operational errors, with implementation typically completed within weeks. With customers across six continents and offices in the United States, the United Kingdom, Singapore, and Germany, Flagright delivers a transaction monitoring solution that scales with growth and adapts to evolving threats.

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