Solutions Engineer

Location: India – Remote

Experience: 2-3 years

Salary: 30 – 40L INR

About Us

At Giga, we’re shaping the future of conversational AI, fully automating customer support to elite levels for enterprises with a lean team of engineers.

Our customers trust our agents to navigate complex, real-world conversations with clarity, accuracy and scalability. We’ve deployed AI agents that resolve over 1 million support tickets monthly for one of our early customers alone. Now working with the most recognizable names in food delivery and crypto, we are gaining significant traction as a frontrunner in this space against our biggest competitors.

With multi-year contracts secured across several industries and a large Series A round that recently closed with investors such as Y-Combinator and Nexus VP, we’re on track to power the next trillion voice interactions.

Why Join Us?

• Momentum: Be a part of a team that has seen validation from both customers and investors alike
• Ownership: Be a key contributor to cutting-edge projects transforming industries and influence the company’s technical & product direction
• Growth: Develop yourself alongside top-tier engineers and founders

About the Role

We’re seeking a Solutions Engineer to join our India team. You’ll serve as a technical interface between Giga and our customers, building and deploying sophisticated solutions with our low-code platform.

What You’ll Do:

• Assisting customer engagements from start to end: running discovery calls & demos, align business/technical stakeholders on milestones, and serve as the primary PoC who drives meetings and removes blockers.
• Own the full agent development life cycle: build and prototype quickly, set up CI/CD, monitor live usage, iterate to targets, debug live issues, and document best practices to speed up future projects.
• Close the feedback loop with product & platform: capture unmet needs, prototype new features, and collaborate with core teams to strengthen the platform for all customers.

Who You Are / Must-Haves:

• Know the basics: Understanding of Python, tool calls, etc.
• Interpersonally Acumen: Able to solve problems in a people-centric manner and communicate effectively, with experience in customer-facing roles
• Entrepreneurial: Preference for candidates with aspirations who want to be founders
• Gritty: Capable of working long productive hours, and being customer focused
• Coachable: Be able to take in feedback and adapt at a quick pace
• Experienced: 2-3 years of experience

Interview Process

• Screening call w/ recruiting lead (20 min)
• Intro call w/ Founding Engineer (15 min)
• Technical interview (1 hr)
• In-office interview (full day)