Solutions Engineer

About AlphaSense:

AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit www.alpha-sense.com. Come join us.

Location: Remote (US) or New York City

Team: Enterprise Solutions Engineering

Reports to: Director, Application Specialist Team

About the Team

The global Enterprise Solutions Engineering team leads the technical side of Enterprise Suite deals, from evaluation through implementation and ongoing account support. The Enterprise Suite includes our connectors, API, and MCP. Over the past year, the team proved product-market fit for the Enterprise Suite and Internal Content & Connectors, then took our first wave of enterprise customers from signed contract through implementation.

About the Role

As a Solutions Engineer, you will own the technical relationship for clients adopting the Enterprise Suite. You will work with client technology and business teams from the first discovery call through trial, implementation, and launch, in coordination with Account Management. You will help clients decide what to build, get it into production, and expand their usage over time. Your technical skills let you earn client engineers’ trust and resolve issues quickly.

What You'll Do

• Own technical discovery with client engineering, data, and business leaders. You will map each client’s architecture and authentication requirements, and scope use cases for the Enterprise Suite.
• Partner with Account Executives on net new deals, Implementation on active rollouts, and Account Managers on existing accounts. You will carry technical ownership at every stage of the account.
• Own proofs of concept and trials that show how the Enterprise Suite fits each client’s workflows, and partner with Sales to move evaluations to close.
• Guide clients from signed contract to production. This includes authenticating GraphQL requests, deploying across cloud, and configuring SSO and SCIM provisioning.
• Serve as the technical owner for a portfolio of accounts and grow Enterprise Suite adoption and consumption as clients expand from their first team across the organization.
• Own technical escalations, such as authentication errors and credential or license problems, by testing API requests and reviewing logs. Turn patterns from the field into structured feedback for Engineering and Product.
• Build scripts and internal tools that scale how Support and Implementation teams handle client requests, such as permission updates and content ingestion.

Who You Are

Required

• 5+ years in a client-facing technical role, such as solutions engineering, solutions architect, sales engineering, working with large enterprise clients.
• Skilled at open-ended discovery and asking insightful questions before recommending a solution.
• Adept at translating technical details into terms business stakeholders care about.
• Hands-on engineering experience, such as a software engineer or working on projects that show you can write and debug code.
• Understanding of REST or GraphQL APIs, identity protocols such as OAuth 2.0, SAML, and SCIM, and at least one cloud platform (AWS, Google Cloud, or Microsoft Azure).
• Thrive in ambiguous, high-growth environments and can deliver for clients and solve new problems on your own while our playbooks and enablement are still being built.
• Strong preference for experience selling to or performing Analyst roles in Banking, Asset Management, Private Markets, or corporate and consulting teams in complex enterprise environments

Nice to Have

• Degree in computer science or a related technical field.
• Worked with MCP, LLM-based workflows, or AI agents.

For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below.

You may also be offered a performance-based bonus, equity, and a generous benefits program.

Base Compensation Range

$156,000—$180,000 USD

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

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