Unify Solutions Inc.
Staff Software Engineer, Product
San Francisco Office · Staff+
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About the role
- You will bring new products from zero to one working closely with our founders.
- We are revolutionizing GTM using all the latest AI technology that has recently come online - so you will be working at the cutting edge.
- This position is hybrid in either San Francisco, CA, or New York City, NY, offering the invaluable opportunity to work closely with a talented team in a dynamic, high-energy environment.
Responsibilities
- Shape both our product roadmap and engineering foundation working with a highly collaborative product, design and engineering team
- Build new products using the latest and greatest tech such as such as TypeScript, Prisma, Temporal, PostgreSQL, Kubernetes, Pulsar, ClickHouse, LLMs, and more
- Experiment, assess and integrate with various tech platforms and vendors that help us deliver value faster
- Being in-person enables real-time collaboration, fosters creative problem-solving, and strengthens the connections that drive innovation and impact.
Requirements
- You have 8+ years of software engineering experience and have a track record of shipping high-quality products and features at scale
- You are customer-obsessed, creative and hungry.
- You have the ability to take high-level business/product ideas to deployed engineering solutions.
- While you are independent you are also kind and highly collaborative.
- You have experience standing up and managing infrastructure.
- You are comfortable and excited to mentor multiple engineers.
Compensation
- $230k-$285k
Benefits
- This a salaried position with a target range of $230,000 - $285,000 (depending on experience), equity package and comprehensive benefits (including medical, dental, vision, and 401(k) options).
Company info
- You will own large engineering scope which will both bring immense value to our customers, and also lay the technical foundation for Unify.
This listing is sourced directly from Unify Solutions Inc.'s careers page and normalized into a canonical job model.