Design and build a core data model and tooling for a modern AI-native platform in a fast-growing company.
Posted by employer 1 day ago
First seen on Joblaze 6 hours ago
Last verified on the company career page 6 hours ago
Skills & Technologies
What you'll build
Must have
Nice to have
AI in the day-to-day
Engineer AI-assisted tooling that uses foundation models to propose, validate, and apply new customer schemas and workflow definitions.
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
The Staff Platform Engineer at Doss focuses on designing and implementing a flexible data model and schema platform that supports customer operations while ensuring transactional integrity. Key skills include expertise in large-scale ETL processes and cloud services, alongside a strong grasp of graph-based architectures. This role is ideal for experienced engineers who thrive in collaborative environments and possess a growth mindset. Doss, having recently secured significant funding, emphasizes a culture of mentorship and innovation within its engineering team.
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From the original posting
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Design the core EAV data model & schema‑as‑code platform that powers every customer’s instance, balancing extreme flexibility with transactional integrity.
Build a Git‑style version‑control + migration engine capable of rolling forward/back complex schema and data changes on live production tenants in enterprise settings.
Engineer AI‑assisted tooling that uses foundation models to propose, validate, and apply new customer schemas and workflow definitions.
Scale our white‑labeled data warehouse (BigQuery/Snowflake‐like) for high‑volume, low‑latency analytics and automation workloads.
Create Terraform‑like declarative APIs & SDKs so ops teams can treat business processes as code while you ensure security, tenancy, and performance.
Deliver end‑to‑end observability & search across supply‑chain, finance, and ops data—surfacing business logic in plain language through AI‐native search.
Build Enterprise guard rails into a composable system to proactively detect anomalous behavior or risky emergent patterns
Mentor and shape engineering culture, partnering with product and design to turn unsexy back‑office pain into elegant, resilient systems loved by operators.
Experience
Expertise building large scale ETL on databases like Postgres, Elasticsearch, DuckDB, Memgraph (Graph DB), etc
Using cloud services to build + deploy reliable web applications
Working in abstractions to build complex graph-based architectures that scale
Qualities
Team player: you bring positivity, openness, and curiosity to the team every day.
Growth mindset: everything is an opportunity to learn and improve yourself, the team, and the company.
Craftsmanship: you care about making something of quality.
Pragmatic: you make the right decision based on circumstance, not theory.
Low Ego: you work best in collaborative environments where everyone supports the team.
Competitive salary + meaningful equity
401(k), immediate eligibility
Flexible/unlimited PTO
Commuter (BART/MUNI/CalTrain) and equipment stipends
Wellness & Fitness stipend
Generous parental leave
Relocation assistance available
In-office culture in San Francisco
Standard company text repeated across Doss's postings is omitted here.