Salary
≈ $32k – $85k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 4+ years exp
First seen by Alion on Oct 22, 2026.
Overview
Company
Impact
Profile match
Thena is a software company that grew from the shift of business customers toward the flexible communication they know from consumer messaging, and it builds systems that turn messy enterprise data into correct, machine-readable output. Its engineers work on long-running data processes that scale to millions of rows, with language models as a reasoning step. The company is headquartered in San Francisco, United States.
Backed by Lightspeed Venture Partners
Lead a small engineering team building high-volume, data-intensive systems that transform complex enterprise data into accurate, machine-readable outputs. You'll work closely with the founder on architecture and own system reliability, scalability, and correctness.
This is not a pure people-management role. You'll remain deeply hands-on with architecture, production systems, and technical decisions. You'll also be expected to operate effectively in ambiguity and challenge existing architectural decisions when needed.
Responsibilities:
- Drive architecture across TypeScript/NestJS workflows and Python data/AI services.
- Build reliable long-running workflows with durable execution, retries, and idempotency.
- Design scalable data processing using Polars, DuckDB, Parquet, and streaming.
- Build evaluation and regression frameworks to measure AI/system accuracy.
- Own production systems running in customer cloud environments.
- Lead hiring, code reviews, technical decisions, and mentor engineers.
- Maintain clean boundaries between workflow orchestration, AI/agent execution, and bulk data processing.
Requirements:
- 5-7 years building backend, distributed, or data-intensive systems.
- Strong expertise in Python or TypeScript, with working proficiency in the other.
- Experience taking systems from design production and ongoing ownership.
- Strong understanding of distributed systems, retries, idempotency, failures, and long-running workflows.
- Hands-on experience with high-volume data processing.
- Engineering leadership experience mentoring, reviewing, and raising technical standards.
- Strong focus on correctness, observability, and production reliability.
- Tech Stack: Python, TypeScript, NestJS, Temporal, LangGraph, Polars, DuckDB, Parquet, Pydantic, PostgreSQL, Redis, Azure, Docker, Terraform/Bicep, React
Strong Plus:
- Temporal or similar workflow orchestration platforms.
- LLM/AI systems with measurable evaluation.
- Polars, DuckDB, Arrow, Parquet.
- Azure and enterprise cloud environments.
- LangGraph / agentic workflows.
- Docker, Terraform/Bicep, OpenTelemetry.
Skills
Python, Temporal, TypeScript, backend, data-intensive, distributed, workflow
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