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Coval

Solutions Engineer

  • Office
  • 3-6 years

Salary

$180,000 - 250,000/ year

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Description

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.

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

Responsibilities

  • 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.
  • 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

Requirements

  • 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
  • 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
  • Experience: 6+ years
  • Visa: US citizen/visa only

Where you’d work

From the office

The office

No visa sponsorship

You must already be able to work in the United States

About the company

Coval

  • Industry: AI

Office in San Francisco, United States

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 22 checks run
  • 2 red flags

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1 red flag

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Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • TypeScript
  • Python
  • LLMs
Type
Full-time
Industry
AI
Specialty
Solutions Engineering
Region
United States
Pay period
Annual
Show 7 more factsShow less

Role

Category
Solutions & Support
Specialty
Solutions Engineering
Experience
6+ years
Tech stack
  • TypeScript
  • Python
  • LLMs

Location

Work model
Office
Region
United States
Office
  • San Francisco, United States
Visa sponsorship
Not sponsored
Must already work in
  • United States

Compensation

Salary
$180,000 - 250,000 / year
Pay period
Annual

Employment

Type
Full-time

Company

Industry
AI

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