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Salary: USD 156,000 - 180,000 / annual
AlphaSense is an AI platform that redefines market intelligence and workflow orchestration for leading financial and business organizations. The platform combines domain-specific AI with over 500 million premium business documents to help teams extract insights, uncover trends, and automate workflows.
As a Solutions Engineer on the Enterprise Solutions Engineering team, you will own the technical relationship for enterprise clients adopting AlphaSense's Enterprise Suite (connectors, API, and MCP). You will be the technical lead from initial discovery through trial, implementation, and ongoing account expansion, working closely with Account Management, Sales, and Implementation teams.
Key responsibilities include:
- Conduct technical discovery with client engineering, data, and business leaders to map architecture, authentication requirements, and scope use cases
- Partner with Account Executives on new deals, Implementation teams on active rollouts, and Account Managers on existing accounts
- Own proofs of concept and trials demonstrating how the Enterprise Suite fits client workflows
- Guide clients from contract signature to production, including GraphQL authentication, cloud deployment, SSO, and SCIM provisioning
- Manage a portfolio of accounts, driving Enterprise Suite adoption and expansion as clients scale usage across their organization
- Own technical escalations (authentication errors, credential/license issues) by testing API requests and reviewing logs
- Build scripts and internal tools to scale how Support and Implementation teams handle client requests
- Translate technical details into business terms for stakeholders and earn client engineers' trust through hands-on problem-solving
You will thrive in a high-growth, ambiguous environment where playbooks and enablement are still being built, delivering for clients and solving novel problems independently.
REQUIREMENTS:
- 5+ years in a client-facing technical role (solutions engineering, solutions architect, sales engineering) working with large enterprise clients
- Skilled at open-ended discovery and asking insightful questions before recommending solutions
- Ability to translate technical details into terms business stakeholders understand
- Hands-on engineering experience (software engineer background or projects demonstrating code writing and debugging)
- Understanding of REST or GraphQL APIs, identity protocols (OAuth 2.0, SAML, SCIM), and at least one cloud platform (AWS, Google Cloud, or Microsoft Azure)
- Ability to thrive in ambiguous, high-growth environments and deliver independently
- Strong preference for experience selling to or performing analyst roles in Banking, Asset Management, Private Markets, or corporate/consulting teams in complex enterprise environments
NICE TO HAVE:
- Degree in computer science or related technical field
- Experience with MCP, LLM-based workflows, or AI agents
