Solutions Engineer

The role

As a Solutions Engineer, you are the technical partner in every deal. You will run discovery with the sales team, build pilots and proofs of concept that show Coval in action, and convert opportunities into long-term customers. You will work closely with our CEO, sales, and engineering teams, and your feedback from the field will shape the product roadmap.

What you'll do

• Lead technical discovery with prospects to understand their agent architecture (STT, LLM, TTS, telephony, orchestration frameworks) and their testing and quality gaps
• Deliver tailored demos that connect Coval's Simulate, Observe, and Human Review capabilities to each customer's use case
• Scope, build, and run proofs of concept: set up simulations, design test scenarios and personas, define evaluation metrics, and present results
• Integrate Coval with customer stacks via our APIs, SDKs, and partner platforms (e.g., voice infrastructure and agent-building platforms)
• Answer security, architecture, and technical questionnaires during the sales process
• Bring structured product feedback from the field to engineering and product, and help prioritize what gets built
• Build reusable assets: demo environments, POC playbooks, sample evaluation suites, technical docs, and integration guides
• Support partner and co-sell motions with technical enablement for partner teams
• Represent Coval at conferences, workshops, and customer events

What we're looking for

• 5+ years in a customer-facing technical role (solutions engineer, sales engineer, forward-deployed engineer, technical account manager) or as a software engineer who enjoys working with customers
• Hands-on coding ability in Python and/or TypeScript; comfortable with REST APIs, webhooks, and debugging integrations
• Working knowledge of LLMs and how AI applications are built: prompting, tool calling, evaluation, and common failure modes
• Clear communicator who can explain technical tradeoffs to engineers and business value to executives
• Track record of running POCs or technical evaluations that led to closed deals
• Experience selling to enterprise buyers, including security reviews and procurement
• Comfortable with ambiguity and building process from scratch at an early-stage startup

Nice to have

• Experience with voice AI: speech-to-text, text-to-speech, real-time audio, latency optimization, or telephony (SIP, WebRTC, contact center platforms)
• Familiarity with voice agent frameworks and platforms (e.g., Pipecat, LiveKit, Vapi, Retell) or major contact-center vendors
• Background in QA, test automation, ML evaluation, or observability tooling