3 days ago
Base Salary
$150k - $165k/yr
Responsibilities
- Own and continuously improve AI agents and automations that convert account, contact, product, and other go-to-market signals into SDR, AE, and CSM actions.
- Build deal-risk, next-best-action, account-health, renewal-risk, and expansion-signal workflows across the revenue organization.
- Serve as product owner for in-house revenue systems, including roadmap, prioritization, quality standards, and stakeholder alignment.
- Design human oversight through approval gates, escalation paths, and clear ownership boundaries for agent-generated actions.
- Create evaluation frameworks with scenarios, scoring rubrics, and regression checks for agent behavior and output quality.
- Instrument and monitor production agent activity, model and tool calls, adoption, and connections to pipeline and revenue outcomes.
- Map and redesign seller workflows with SDRs, AEs, CSMs, and RevOps using an AI-native approach.
- Build integrations across Salesforce, Outreach, Gong/call data, and third-party procurement and contract-data sources.
- Partner with AI platform, systems, and data engineers by defining requirements, translating business needs into technical specifications, and owning business outcomes.
- Advise Sales and RevOps on AI capabilities, build-versus-buy decisions, compliance constraints, brand risk, scope, and timelines.
- Drive adoption, feedback, change management, roadmap maintenance, and impact reporting for Sales AI initiatives.
- Communicate progress, priorities, blockers, and business impact to sales leadership, RevOps, Applied AI leadership, and executives.
Requirements
- Bachelor’s degree in Information Systems, Computer Science, Business Analytics, Data Analytics, or a related field.
- 4–7 years of experience in technical product management, sales or revenue operations, data science, GTM strategy or operations, solutions architecture, or a closely adjacent function.
- Hands-on professional experience using AI tools such as Claude, Cursor, or Codex and agentic orchestration systems such as n8n, Make, or Airia.
- Production experience building and operating agents, including tool use, context engineering, and evaluation frameworks.
- Experience or exposure to GTM and Sales at a SaaS company.
- Strong problem-solving, first-principles thinking, user research, discovery, stakeholder communication, and technical-business translation skills.
- Comfort working in a code-first approach with enterprise revenue systems such as Salesforce, Outreach, and Gong.
- Strong analytical skills, spreadsheet and dashboard fluency, and working knowledge of SQL and basic BI tools such as Tableau or Looker.
- Experience with Claude Code, the Claude Agent SDK, or MCP server development is preferred.
- Familiarity with AI governance, prompt design, data access controls, audit trails, and responsible AI principles is preferred.
- Experience building workflow automations or internal tools without engineering support is preferred.
- Familiarity with Snowflake, Looker, or similar data platforms at a data-analysis level is preferred.
- Applied ML and experimentation experience, including A/B testing, propensity models, recommendations, or lead/account scoring, is preferred.
- Experience in sales/revenue operations, customer success operations, forward-deployed work, solutions architecture, high-growth SaaS, public-sector or B2G sales, or cross-functional Sales and Marketing/RevOps environments is preferred.
Benefits
- Comprehensive healthcare options for individuals and families.
- Flexible vacation policy and paid company holidays.
- 401(k) with company match.
- Paid parental leave, wellness stipends, and HSA contributions.
- Professional development and growth opportunities.
- Collaborative office environment with weekly catered lunches.
- The role is listed in Chicago, Illinois; the posting does not specify a remote or hybrid arrangement.
Tech Stack
Categories
Forward Deployed
About OpenGov
OpenGov builds cloud-based ERP and analytics software for state and local governments, spanning budgeting, accounting, procurement, permitting and licensing, asset management, billing, and transparency/open data. It sells its Public Service Platform as SaaS with professional services, and counts more than 2,000 public-sector organizations as customers. Founded in 2012 and headquartered in San Francisco, OpenGov was acquired by Cox Enterprises.