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About the Role
As a member of the Revenue Operations team, you will combine hands-on technical build skills with deep GTM domain knowledge to design automations and agentic workflows that help Sales teams move faster and convert more efficiently. You will operate with high agency, empowered with best of breed AI-technology, embedded day-to-day with the revenue teams you support. You are the bridge between their business context and the automated solution: they bring the process knowledge and the friction points, you bring the build, turning ideas into a production-ready solution.
Responsibilities
- Deliver agentic support for the sales organization, managing agents to generate pipeline, do deep account research, and close more deals.
- Lead structured experiments across GTM tooling and emerging AI vendors, translating results into clear, actionable recommendations that refine how we prospect, route, and convert.
- Partner with CorpEng on technically complex builds, bringing GTM context and business requirements while leaning on their infrastructure and architectural expertise to deliver solutions that hold up at scale.
- Act as a trusted advisor to teammates across the GTM org who are already building their own agents and automations, helping mature those solutions into governed, production-ready capabilities.
- Ensure every workflow shipped has the right guardrails around cost, performance, and data handling, so what you build keeps delivering value without runaway overhead or compliance risk.
- Act as the key liaison between technical and business stakeholders, communicating complex ideas in plain language and turning ambiguous requirements into actionable technical deliverables.
Requirements
- 3+ years building and deploying automations or AI-powered workflows in a production environment, with hands-on experience across Salesforce and the broader revenue tool stack.
- Proficiency across GTM systems: CRM (Salesforce & Hubspot), sales engagement platforms (Clay), marketing automation, data enrichment, and routing tools (Lean Data).
- Working knowledge of LLMs, prompt engineering, and agent design applied to real revenue workflow problems.
- Comfort with SQL and at least one scripting language (Python or JavaScript) to build, troubleshoot, and iterate on workflows without waiting on engineering for every change.
- Familiarity with data warehouses, BI tools, or event-driven systems is a plus.
- Familiarity with Marketing and Sales processes and metrics, and how campaign data, intent signals, and lead flow connect to pipeline outcomes.
- Commercial bias: evaluate every workflow against the revenue outcome it was designed to drive, not just whether it runs cleanly.
- Curiosity and an experimental mindset: approach GTM problems like a detective, testing hypotheses and iterating on what the data shows.
- Proven ability to bridge communication between business stakeholders and technical teams, translating requirements into deliverables that meet organizational goals.
- An A-player mindset with a strong bias for action: raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcome.
- Background in business systems analysis, Salesforce administration, marketing/revenue operations, or a technical role embedded within a sales or marketing organization.
- Prior experience building agentic or LLM-powered workflows in a B2B environment.
- Hands-on experience with modern GTM automation and enrichment platforms (e.g., Clay, Gong, Outreach, Snowflake, Hightouch, SQL) is a strong plus.
Skills
- Salesforce
- Hubspot
- Clay
- Lean Data
- LLMs
- Prompt Engineering
- Agent Design
- SQL
- Python
- JavaScript
- Data Warehouses
- BI Tools
- Event-driven Systems
- Marketing Processes
- Sales Processes
- GTM Automation
- GTM Enrichment Platforms
- Gong
- Outreach
- Snowflake
- Hightouch
Location
- Denver, CO
- San Francisco, CA
Work Type
- Hybrid
Experience Level
- 3+ years building and deploying automations or AI-powered workflows
- Prior experience building agentic or LLM-powered workflows in a B2B environment
Salary/Compensations
- $161,000—$189,000 USD (San Francisco, CA)
- $136,000—$160,000 USD (Denver, CO)
Benefits
- Competitive cash and equity compensation, and opportunity for advancement
- 100% medical, dental, and vision coverage
- Up to $25K reimbursement for fertility, adoption, and parental planning services
- Flexible PTO policy
- Monthly wellness stipend
- In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages.
- A relocation stipend may be available for those willing to relocate to a Checkr hub location.
About the Company
- Checkr is building the data platform to power safe and fair decisions.
- Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date.
- Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic.
- We’re a team that thrives on solving complex problems with innovative solutions that advance our mission.
- Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.
Equal Opportunity
- Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences.
- Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance.