ABOUT SINCH
Sinch is pioneering the way the world communicates. More than 150,000 businesses
— including Google, Uber, Paypal, Visa, Tinder, and many others — rely on Sinch’s
Customer Communications Cloud to power engaging customer experiences through
mobile messaging, voice, and email.
Whether you need to verify users or craft omnichannel campaigns, Sinch makes it
easy. Our AI-infused Super Network, APIs, and applications ensure you can connect
with your customers reliably and securely, at every step of their journey.
At Sinch we “Dream Big”, “Win Together”, “Keep it simple”, and “Make it Happen”.
These values are our foundation!
DESCRIPTION
About the Team
Chatlayer Product is made up of two teams — Platform & Integration and Flow Engine
& Intelligence Integration — sharing a single product roadmap and backlog under
Engineering Manager JR Reynolds. Together the organization includes around 10
engineers, two tech leads, a product manager, and a UX designer. The teams value
honesty, growth, knowledge sharing, collaboration, ownership, and “being pirates” —
a bias toward bold, resourceful action. Communication happens primarily through
Slack and Teams, and we have a strong culture of transparent decision-making and
discoverable collaboration.
Where We’re Heading
Chatlayer is building toward a future of conversations with control — where AI
agents and deterministic workflows work in harmony to solve our customers’
problems. This means evolving from a traditional chatbot platform into an agentic
orchestration system where intelligent automation is grounded by reliable,
predictable flow execution. We’re looking for the right people to help us get there.
About the Role
We are looking for a Senior Software Engineer to help design, build, and scale
Chatlayer’s conversational AI platform. You will work across a real-time, distributed
system that handles text and voice interactions at scale — including WebSocket
infrastructure, bot engine integrations, and platform services. This role requires
someone who is comfortable operating in ambiguity, can drive technical decisions,
and thrives in a team that ships with urgency while investing in system health.
Candidates should bring a knowledgeable and skilled approach to the use of AI in the
software development process itself — we value a balanced, curious, and quality-
driven use of AI tooling. We’re not looking for engineers who blindly generate code or
who refuse to adopt new tools; we want people who apply AI judiciously, maintaining
deep comprehension of what they build while leveraging these tools to move faster
and think bigger.
