At Synthflow we’re building the easiest way for businesses to create AI-powered phone agents. No coding, no fuss—just smarter automation. We’re passionate about delivering the future of voice technology with lightning-fast, scalable solutions. It’s an exciting time at Synthflow: we’re early, fast-growing, and laser-focused on impact. Join us to do the best work of your career while helping businesses thrive.
As a Solutions Engineer at Synthflow, your primary focus will be ensuring the technical and operational success of our enterprise customers as they onboard and scale their AI phone agents. This role combines technical expertise, hands-on implementation, customer engagement, and project management. You will bridge the gap between business stakeholders and technical teams, ensuring seamless integration and adoption of our solutions.
Lead the technical onboarding and implementation of Synthflow's AI phone agent solutions, including prompting strategies, API integrations, and customized setups.
Serve as a primary technical contact, troubleshooting and resolving integration-related issues.
Conduct regular check-ins with customer project leads and host technical workshops with customer engineering teams.
Proactively identify and execute the necessary actions to ensure customer satisfaction and success.
Collaborate closely with Synthflow's sales, engineering, and customer success teams to deeply understand and deliver on customer needs.
You have at least 3-5 years of relevant experience in technical implementation, customer success engineering, solutions engineering, or a similar technical customer-facing role.
You possess hands-on experience with APIs, CRMs, automation tools, technical integrations,
You have experience or deep interest in AI/ML technologies and prompt engineering.
You excel in clear, effective communication and can comfortably manage both internal and external stakeholder expectations.
You thrive in dynamic environments, pay meticulous attention to detail, and enjoy collaborating cross-functionally on small, agile teams.
Previous experience at a fast-growing startup or in enterprise-level AI/ML service implementation.
Familiarity with Large Language Models (LLMs) and prompting.
Strong understanding of enterprise sales, customer success, and engineering processes.
Flexibility in working hours to accommodate enterprise customer schedules.
Autonomy at speed: High-ownership roles in a fast-moving startup.
Remote-first flexibility: Contribute from anywhere, on your schedule.
Cutting-edge technology: Work on what interests you most.
Career growth: Scale your impact as the company grows.
Rewarding package: Competitive pay, equity options, and comprehensive benefits that reflect your skills and experience.
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