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CrestaAI Engineer, GTM
Cresta builds AI for customer conversations, including conversational agents, live coaching for human agents and conversation intelligence. It is hiring an AI Engineer for go-to-market. The…
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About This Role
Cresta builds AI for customer conversations, including conversational agents, live coaching for human agents and conversation intelligence. It is hiring an AI Engineer for go-to-market. The role rebuilds how the revenue organization finds accounts, prepares for deals and closes them. The engineer works directly with the CEO, CRO, CMO and Revenue Operations leaders to design an AI-native system for the revenue engine, with the aim of removing manual work. The…
Job Description
Cresta builds AI for customer conversations, including conversational agents, live coaching for human agents and conversation intelligence. It is hiring an AI Engineer for go-to-market. The role rebuilds how the revenue organization finds accounts, prepares for deals and closes them. The engineer works directly with the CEO, CRO, CMO and Revenue Operations leaders to design an AI-native system for the revenue engine, with the aim of removing manual work.
The engineer helps SDR, marketing and sales teams spend time on the highest-value accounts. That means surfacing hard-to-find details like contact center size, outsourcing footprint and technology stack, and continually re-ranking accounts as new signals arrive. The engineer also automates manual research, deal preparation and CRM updates, generates account plans and stakeholder maps, and uses AI agents to handle quotes, approvals and document creation. Order forms, security reviews and real-time deal signals are part of the same effort. The engineer writes code to connect and extend the go-to-market stack, including Salesforce, Gong, Clay, Slack, Glean and Coda, and rethinks segmentation and territories using data.
Candidates should combine real engineering skill with a practical understanding of go-to-market work. Being at ease with APIs, scripting, data systems and AI tooling is essential, along with familiarity with enterprise sales processes and modern sales technology. An entrepreneurial, ownership-driven approach is valued. The role is remote or hybrid, with San Francisco or New York City as targets and other US locations possible. The posted base range is USD 150,000 to 230,000 plus equity, and the role includes an opportunity to earn commission tied to measurable impact.
Responsibilities
- Assist GTM teams in choosing which accounts to prioritize, using AI and data
- Pull out hard-to-find account facts, like contact center size, BPO footprint and technology stack
- Refresh account scoring whenever new signals come in
- Cut manual work in research, opportunity preparation and CRM data entry
- Build account plans and stakeholder maps directly in sellers' tools
- Use AI agents to automate quotes, approvals and document drafting
- Simplify order forms, security questionnaires and deal paperwork
- Write code that links the GTM stack together and extends it
- Use data and AI to rethink segments, territories and coverage
Requirements
- Engineering ability paired with real go-to-market knowledge
- Founder-style drive, with ownership and a preference for building
- Grasp of how enterprise sales teams actually work
- Hands-on skill with code, integrations, data pipelines and AI tooling
- Familiarity with current sales technology stacks
- Strong sense of ownership, quick execution and attention to revenue results
Core Skills
Benefits
- Health, dental and vision plans for staff and dependents
- Flexible paid time off
- Parental leave available to every new parent
- Retirement savings plan
- Remote work setup budget
- Monthly wellness and communication stipend
- Meals and commuter support for onsite staff
- Equity as part of total pay
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is the job located?
The posting lists the role as remote or hybrid, with San Francisco or New York City as target locations, and other US locations may be considered.
What is the salary?
The posted base range is USD 150,000 to 230,000 plus equity, varying by location and experience.
What skills are required?
Strong engineering skill, comfort with APIs and AI tools, and practical knowledge of enterprise go-to-market workflows.
Is commission offered?
Yes, the posting mentions earning commission tied to measurable impact.
Sample Interview Questions
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