Sainapse Logo

Sainapse

Solutions Engineer, Enterprise AI

Posted Yesterday
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
26 Days Ago
In-Office or Remote
New York City, NY, USA
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
26 Minutes Ago
In-Office or Remote
United States
105K-250K Annually
Junior
105K-250K Annually
Junior
Digital Media • Fintech • Information Technology • Machine Learning • Financial Services • Cybersecurity • Automation
Develop and manage a branch-based wealth management practice by conducting client discoveries, creating tailored financial plans, driving new business development and referrals, conducting proactive outreach, and coordinating with internal specialists for investment, insurance, estate, and financial planning services.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account