Sainapse Logo

Sainapse

Solutions Engineer, Enterprise AI

Posted 2 Days Ago
In-Office or Remote
Hiring Remotely in San Francisco, CA
120K-140K Annually
Entry level
In-Office or Remote
Hiring Remotely in San Francisco, CA
120K-140K Annually
Entry level
Own presales discovery, solution architecture, technical demos, prototypes, proof-of-concept definition, technical evaluations, RFP responses, and security questionnaires for enterprise AI customers. Translate customer workflows and technical requirements into validated architectures and measurable business value, manage implementation risks, and provide accurate delivery handoffs. Convert field insights into reusable reference architectures, demos, and product improvements.
The summary above was generated by AI
Solutions Engineer, Enterprise AI

San Francisco on-site preferred; remote is acceptable · Full-time · Travel required

Base salary: $120,000–$140,000 USD annually. Equity: 0.05–0.1%. This role does not include commission. U.S. citizenship required. Visa sponsorship is not available.

Make enterprise AI credible

You will help customers understand what Sainapse can do, how it fits their environment, and what evidence they need to move forward. Own presales discovery, solution architecture, demos, and technical validation, then create a clean handoff to delivery.

What you will own
  • Understand customer workflows, data, integrations, security requirements, and operational goals.

  • Design customer-specific architectures and build credible demos and lightweight prototypes.

  • Define proof-of-concept datasets, scoring, acceptance criteria, scope, and dependencies with Forward Deployment.

  • Lead technical evaluations, RFP responses, and security questionnaires with the right internal experts.

  • Connect technical capabilities to measurable operational value and clearly distinguish validated capabilities from open questions.

  • Turn field learning into reference architectures, reusable demos, and better product decisions.

What you bring
  • Experience in solutions engineering, technical consulting, architecture, or customer-facing delivery.

  • Enough coding fluency to work with APIs, inspect logs, and build useful prototypes.

  • Clear communication with technical teams and business stakeholders.

  • Familiarity with enterprise systems such as Salesforce, ServiceNow, Freshworks, Zendesk, SAP, or Oracle.

  • Sound judgment about promises, validation, implementation risk, and the practical limits of agentic AI.

What success looks like

Evaluations move faster because the right questions are answered with evidence. Strong-fit opportunities gain technical confidence, poor-fit opportunities are disqualified early, and delivery receives an accurate account of commitments and dependencies.

About Sainapse

Sainapse builds agent-first software for customer operations, helping teams resolve work across the systems they already use. Our production work spans customer support and document and order workflows, with configurable autonomy and human review. We are also building account intelligence that connects customer signals.

We are a small team with broad ownership. We value first-principles thinking, direct communication, thoughtful use of AI, and evidence of customer impact. You will work closely with the founders and our product, engineering, and delivery teams.

Similar Jobs

One Month Ago
Remote
USA
Senior level
Senior level
Professional Services
Designs, builds, and deploys production AI agents, agentic workflows, and API integrations across Microsoft and legal enterprise systems. Partners with attorneys and leadership to prioritize, govern, and scale AI solutions while enforcing security, compliance, and data governance.
Top Skills: Api Key GovernanceAzure Ai FoundryCopilot StudioEnterprise Document Management Systems (Dms)Large Language Model ApisLegal Ai PlatformsLegal Practice Management SystemsMicrosoft 365Microsoft Graph ApiModel Context Protocol (Mcp)OauthPower PlatformRest ApisWebhooks
27 Days Ago
In-Office or Remote
175K-300K Annually
Mid level
175K-300K Annually
Mid level
Artificial Intelligence • Machine Learning
As an Applied AI Engineer, you will enhance customer solutions using AI and machine learning, collaborating closely with clients to design effective AI implementations and drive business impact.
Top Skills: ChromaCrewaiFaissHugging Face TransformersLanggraphLlamaindexPandasPythonPyTorchScikit-LearnSparkWeaviate
2 Hours Ago
Remote or Hybrid
245K-335K Annually
Senior level
245K-335K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads AI engineering teams responsible for foundational AI infrastructure, including model access, LLM inference, optimization, guardrails, evaluation, governance, observability, and cost management. Oversees development and deployment of scalable AI systems, makes build-versus-buy decisions, establishes technical vision, applies advanced research, and develops high-performing engineering talent.
Top Skills: AWSAws UltraclustersAzureFoundation ModelsGCPHugging FaceLarge Language ModelsModel EvaluationNemo GuardrailsObservabilityPyTorchSimilarity SearchVectordbs

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account