Brief description
This is a back-end product engineering role building a platform for user research. Their product is a conversational AI that interviews users, prompts with followup questions, and summarizes the results into feedback for product teams.
This role touches on the AI portion, but is primarily a typical back-end product engineering role. You'll be:
Building internal and external APIs
Setting up infrastructure for their website, AI, and real-time data processing
Working with users to understand pain-points and with leadership to prioritize what to build next.
They have two internal "tracks". One works on core product features that are expected to be relatively stable (at least by startup standards). The other builds highly experimental features you might scrap after a week of work. You can choose to focus on either (though you may sometimes need to do the other).
This role is fully in-office in downtown San Francisco.
What they're looking for
[Required]
3+ years of engineering experience. At least some of that experience should be with net-new, user-facing features (i.e. not just internals or optimizations).
Some experience with Python/Django
Experience at a startup between seed stage and series B. This is a preference for many company, but a hard requirement for them.
General independence. Expect a level of specification along the lines of "here's a ticket with one sentence about what this should do, figure it out".
[Nice to have]
Depth in SQL in particular, especially Postgres
Familiar with WebRTC or other streaming data tools
Background in ML or AI infrastructure
What they're offering
Salary: $170k-210k
Equity: 0.2% to 0.35%
A company on a good trajectory (10x revenue last year), plenty of runway, and big-name clients
You can focus more on core or speculative features (as mentioned in role description), at your preference.
Brief description
This is a back-end product engineering role building a platform for user research. Their product is a conversational AI that interviews users, prompts with followup questions, and summarizes the results into feedback for product teams.
This role touches on the AI portion, but is primarily a typical back-end product engineering role. You'll be:
Building internal and external APIs
Setting up infrastructure for their website, AI, and real-time data processing
Working with users to understand pain-points and with leadership to prioritize what to build next.
They have two internal "tracks". One works on core product features that are expected to be relatively stable (at least by startup standards). The other builds highly experimental features you might scrap after a week of work. You can choose to focus on either (though you may sometimes need to do the other).
This role is fully in-office in downtown San Francisco.
What they're looking for
[Required]
3+ years of engineering experience. At least some of that experience should be with net-new, user-facing features (i.e. not just internals or optimizations).
Some experience with Python/Django
Experience at a startup between seed stage and series B. This is a preference for many company, but a hard requirement for them.
General independence. Expect a level of specification along the lines of "here's a ticket with one sentence about what this should do, figure it out".
[Nice to have]
Depth in SQL in particular, especially Postgres
Familiar with WebRTC or other streaming data tools
Background in ML or AI infrastructure
What they're offering
Salary: $170k-210k
Equity: 0.2% to 0.35%
A company on a good trajectory (10x revenue last year), plenty of runway, and big-name clients
You can focus more on core or speculative features (as mentioned in role description), at your preference.
