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Giga · 1 week ago

Solutions Engineer – New York

New York, United States

Full-time

Onsite

Mid, Senior Level

$150K/yr - $300K/yr

4+ years exp

Giga is a company that builds AI agents for major B2C companies, aiming to enhance customer experiences through automation. The Solutions Engineer role involves collaborating with various teams to operationalize AI agents and drive customer success through strategic technical relationships and implementation management.

Artificial Intelligence (AI)B2CSoftware

Responsibilities

Own strategic technical relationships: Build deep, trusted partnerships with technical executive stakeholders across CX, Operations, and Product teams

Drive growth across key logos: Partner with the account team to drive expansion within our largest customers and convert POCs into multi-year, multi-million-dollar partnerships

Co-own implementation: Manage timelines, integrations, and deliverables across forward-deployed, product, and engineering teams

Influence product direction: Translate customer feedback and emerging use cases into roadmap insights and feature priorities

Shape the foundation: Help define team culture, processes, and best practices as an early member of the Solutions organization

Qualification

Solutions EngineeringEnterprise SaaSPythonAPIsCloud InfrastructureData PipelinesCustomer EngagementCommunicationProblem Solving

Required

Experienced solutions engineer with enterprise selling experience (4+ years in strategic or enterprise SaaS)

Track record of working across large, multi-stakeholder enterprise organizations

Engaging senior business and technical leaders

Navigating complex sales cycles

Strong communicator and trusted advisor

Ability to translate complex technical solutions into business value that resonates with executives

Build credibility with both customers and internal teams - think product, engineering, success, sales, etc

Comfortable operating with ambiguity

Excel in early-stage, high-growth environments where structures aren't always fully defined

Motivated by continuous improvement - sharing best practices, building reusable playbooks, and helping define the foundation of the Solutions organization

Solid technical foundation

Experience working with Python, APIs, data pipelines, cloud infrastructure, or full-stack engineering contexts

Ready to deepen technical foundation into enterprise-scale AI agent deployments