Solutions Engineer – San Francisco

Location: San Francisco (100% In-Office)

Experience: 5+ years

Salary: $150K - $350K (OTE) • Offers Equity

About Giga

Giga has recently raised a $61M Series A and has several paying customers, including DoorDash. We’re building the next generation of customer experience — real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world’s largest enterprises.

It’s an exciting inflection point for the company. While we have been successful, we have larger ambitions. Our goal is to become the go-to AI platform for all enterprise automation, powered by our voice superintelligence. To achieve this, we need more great engineers.

The work affects millions of people every day and our engineers have autonomy and make true impact. This opportunity is unique because we have brilliant founders, have found commercial success, and see a clear path to becoming a generational company. Some further info about us:

• Voice AI startup Giga raises $61M Series A

• DoorDash and Giga Partnership

Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash rely on Giga to automate their most complex support and operations workflows across voice, chat, and email. If being a part of this resonates with you, please apply!

More About the Role:

We’re looking for seasoned Solutions Engineers to join Giga’s Solutions team. In this role, you’ll collaborate closely with Sales, Forward Deployed Engineering, Product, and Core Engineering to help the world’s largest brands operationalize AI agents that transform customer experience and support operations.

As a Solutions Engineer, you’ll lead complex, multi-stakeholder engagements that span pre-sales strategy, solution architecture, deployment execution, and long-term customer success - combining sharp commercial acumen with deep technical expertise to design and deliver solutions that drive measurable business impact. You’ll bring a deep sense of curiosity, an eye for precision, and a drive to tackle hard, ambiguous problems. Turning vision into reality for some of the most recognizable brands in the world.

What you’ll do:

• 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.

Who you are:

• Experienced solutions engineer with enterprise selling experience (4+ years in strategic or enterprise SaaS): You bring a track record of working across large, multi-stakeholder enterprise organizations, engaging senior business and technical leaders, and navigating complex sales cycles.

• Strong communicator and trusted advisor: You can translate complex technical solutions into business value that resonates with executives, and build credibility with both customers and internal teams - think product, engineering, success, sales, etc.

• Comfortable operating with ambiguity: You excel in early-stage, high-growth environments where structures aren’t always fully defined, and you’re motivated by continuous improvement - sharing best practices, building reusable playbooks, and helping define the foundation of the Solutions organization.

• Solid technical foundation: You have experience working with Python, APIs, data pipelines, cloud infrastructure, or full-stack engineering contexts, and you’re ready to deepen that into enterprise-scale AI agent deployments.

Nice to have:

• Early GTM or founding solutions or forward-deployed experience at a fast-growing startup, preferably at an AI company.

• Experience selling AI, automation, or CX transformation solutions into enterprise companies and familiarity with large-scale deployments.

• Working software engineering experience and a deep interest in all things AI - trends, companies, technologies.

Compensation & Benefits

• Competitive base + commission + equity

• Full health, dental, and vision coverage

• On-demand snacks, coffee, and DoorDash Credits

• Equinox membership and wellness stipend

• Commuter benefit

Interview Process

• Stage 1 - Recruiter screen (20 min)

• Stage 2 - Hiring manager interview (45 min)

• Stage 3 - Virtual presentation interview (1.5 hr)

• Stage 4 - In-office onsite exercise and team interview (3 hours)