Who we are: We are a scrappy, well-funded, proven team of technology, product, data and design experts. We know how to bring complex, regulated products to market. We built industry leading products such as Marcus by Goldman Sachs and Clarity Money.
We have a culture that values being transparent, honest and agile. A place where challenging convention is welcome and discussion is encouraged.
No one said it was easy to build something new, but we also know that mutual respect and collaboration will get us there in a way that makes work satisfying and fun.
What we do: At Domain Financial Services, we provide white-label financial planning solutions to the RIA industry.
Our financial planning technology is highly differentiated from plans typically provided by companies like eMoney, MoneyGuidePro or RightCapital. Rather than sixty pages of statistics and charts, our plans are highly readable and give clients clear actionable steps based on their stated goals.
Utilizing our unique technology, our AI platform is able to turn a client's documents into a highly personalized financial plan, based on the client's goals and unique circumstances.
If you have intellectual curiosity and creative passion and this sounds like a challenge that excites you, we invite you to speak with us.
The Role: VP of Engineering
About the role:
You will be responsible for leading our technology team in building the most efficient and personalized AI financial planning solution on the market.
What you'll do with us:
Deeply understand our service offering and planning process
Continue the development of our Planning as a Service 1.0 solution
Deeply study AI and how to apply it to this use case
Be hands on keys leading a team of 5-7 engineers deeply focused on one thing
Work closely with our implementation, advisor, product and engineering teams to define, stand up and maintain RIA partners
Be an active part of the core management team
What you'll need:
You'll come to us with a deep passion for solving problems
You are really deep AI
You understand how best to solve this problem
3-5 years of experience leading teams
Exceptional communication
Track record of shipping products on time
Foundational AI technical knowledge
BS in Engineering (B.S.E. or B.S.C.S.) or other relevant training