Data Analyst

Experience: 5+ years production software engineering, with 2+ years working directly on LLM or agent systems in production. 

Location: Remote 

To streamline and fast-track screening, please submit your details here (if you haven’t already): https://airtable.com/appbtkr4odapnb5I6/pagqo91lKv3VJg3GT/form 

We’ll review your responses as part of the initial screening process. Please make sure you complete and submit all details through the form to be considered for the next stage. Submissions outside the form may not be considered.

Why This Role Matters

Terrabase builds agent infrastructure that enterprise customers rely on daily for SQL generation, forecasting, data analysis, and artifact delivery. Our orchestration layer routes between specialized sub-agents, manages typed handoff contracts, runs structured eval suites, and enforces correctness across every turn.

This is not a research-prototype role. You will build and evolve agent architecture, but always in service of making the system observable, typed, evaluated, recoverable, and boringly reliable in production.

What You Will Do

Own the harness architecture and middleware stack. Our LangGraph orchestrator routes between sub-agents through a layered middleware stack: file upload handling, source resolution, local context, workspace sync, state hydration, aggregation barriers, and typed handoff contracts. You will extend this stack, enforce its contracts in code, and keep it operational as routing logic and agent surfaces evolve.

Maintain typed contracts and boundaries. Agent handoffs at Terrabase carry typed contracts with barrier conditions and retry predicates. You will design these contracts, enforce them with strict typing, manage backward compatibility when contracts change, and write the contract tests that prevent silent regressions.

Own the eval suites. We run structured eval suites across routing decisions, context-resolution accuracy, multi-turn coherence, visual reference alignment, and artifact correctness. You will extend coverage, write new evals where gaps exist, and build CI gates that block releases when regressions are detected. A routing change or prompt change with no eval coverage does not ship.

Triage production failures and close the loop. When an agent turn fails in production, you will trace it in LangSmith, identify the failure class, and convert it into a durable regression test. You will own the release gates, keep prompts and runtime contracts in sync, manage feature flag rollout risk, and remove dead paths as the system evolves.

Own SQL and artifact correctness. Our agents generate SQL over customer schemas and produce structured artifacts (reports, dashboards, data sheets) under a strict schema contract. You will own the correctness layer: source grounding, schema-aware validation, provenance surfaces, and the eval infrastructure that catches generated artifact failures before they reach customers.

Build and maintain HITL workflows. Human-in-the-loop checkpoints let users intervene, redirect, or approve mid-chain. You will design these workflows, enforce their resumable state contracts, and ensure they degrade gracefully when interrupted.

Instrument for traceability. You will extend LangSmith tracing coverage, add structured span annotations, and build the tooling that lets us diagnose a bad agent turn from production trace data alone, without requiring a local reproduction.

What We Are Looking For

• 5+ years production software engineering, with strong Python fundamentals
• 2+ years working hands-on with LLM-based systems: agent loops, tool use, context management, or inference pipelines
• Experience with LangGraph, LangChain, OpenAI/Anthropic tool-use systems, or equivalent multi-step agent/runtime orchestration
• Practical eval engineering: you have built or extended eval harnesses, written automated test cases for agent behavior, and treated evaluation as an ongoing engineering discipline
• Strong engineering hygiene: strict typing, small interfaces, contract tests, clear schema migrations, and CI discipline
• Ability to debug from production traces and artifacts, not only local reproductions
• Comfort working across prompts, Python runtime code, TypeScript product surfaces, data systems, and eval infrastructure
• Systems thinking: you design for observability, recovery, and state management, not just the happy path
• Maintenance ownership mindset: you triage, close loops, and leave systems more debuggable than you found them
• Pragmatic judgment: you can distinguish between reliability-critical infrastructure and speculative abstraction

Bonus Points

• HITL workflow design: checkpoints, approvals, mid-chain interrupts, resumable state
• Context engineering depth: chunking strategies, retrieval-augmented generation, semantic routing, re-ranking
• Experience with LangSmith, Weights and Biases, or similar trace and evaluation platforms
• Prior work shipping agent systems to enterprise customers where SQL or data correctness is a hard requirement
• Experience with mypy, Pydantic contracts, or strict typing disciplines in a production Python codebase

Life at Terrabase

We are a sharp, focused, fully remote team building agent infrastructure that enterprise customers trust with their data. You will work directly alongside the engineer who designed this harness, with broad ownership, generous compute budgets, and a culture that treats reliability as a product requirement, not a research topic.

Terrabase is an equal-opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.

The candidate must have at least 5+ years of experience in B2B SaaS or enterprise technology sales from overall experience.

* US enterprise sales experience is preferred, with strong exposure to US enterprise sales cycles.

* The candidate must have deep experience in enterprise sales, handling large, complex, multi-stakeholder deals.

* The candidate must have driven $5M+ in annual enterprise revenue (preferably $10M+).

* The candidate must have 2+ years of people leadership experience.

* The candidate must have managed a sales team of 10+ members, including AEs and SDRs.

* The candidate must have hands-on experience building, executing, and scaling sales strategies.

* The candidate must have experience managing both inbound and outbound sales motions.

* Background in cybersecurity, deep tech, or complex technical products is preferred.

* Experience with VAR, multi-product, or consultative enterprise sales is a plus.

* The candidate must be comfortable leading revenue across global regions, with the US as the primary focus.

* The candidate must be based in Bangalore or willing to relocate.

Hi,

We need a fullstack developer who can write quality code real fast as we are fast-paced startup

Roles and Responsibilities

1. Backend development in Python/Flask
2. Frontend development in React/Next
3. Deployment using AWS

You will learn a lot on the job so we need someone who is willing to learn and put in the work

• Bachelor's Degree or equivalent experience.
• 5-8 years of experience with software development, preferably in Agile environment.
• Advanced knowledge of in software development tools, programming languages, databases, and environments, including but not limited to:
  • Python 3.x, Django, functional Python, procedural Python, object oriented Python, Asynchronous Design, Micro Services, memcache, REDIS, Celery, ElastiSearch, RESTful web services, Relational (Oracle & MySQL) and Non-Relational (NOSQL & DynamoDB) databases, AWS.

Program / Senior Program Manager

Job Description

Responsibilities

• Define and develop roadmaps to deliver strategic goals
• Regularly review the annual and quarterly roadmaps and refine the scope and priorities
• Drive progress reviews with senior management and leadership
• Identify risks and develop mitigation plans
• Report plans, progress, risks regularly at different levels
• Develop release management plans, processes and drive the adoption
• Develop release calendars and release management plans to achieve the same
• Drive sprint planning, standup meetings and ensure the work being done follows the plans
• Lead the customer engagements, set up processes, tools to manage the engagements
• Lead progress reviews, discussions around new requirements and issues with customers and internal teams to ensure customer success
• Articulate customers requirements to the cross functional teams, plan to deliver them
• Organize and manage all phases of the programs to ensure on-time completion

Knowledge and Skills

• Thorough understanding of Software Development Lifecycle (SDLC)
• Experience in managing complex cross-functional large scale enterprise projects. 
• Good understanding of tools used for development, QE and Dev Ops
• Experience in setting up, configuring and driving usage of project management tools
• Experience in managing releases in both Cloud and On-Premise environments
• Demonstrated ability to partner with different functions across the organization
• Experience setting up templates and processes that are repeatable
• Passion for using data to drive reviews and decision making
• Ability to write crisp and robust stories to communicate complex issues, requirements

Education

• Bachelor’s degree in computer science from a reputed college
• PMP Certification is a plus
• ITIL Certification is a plus

Experience

• At least 2-3 years in a software development role
• At least 1-2 years in a technical lead role independently managing sub-projects / development of components
• At least 5-7 years in managing software development projects using agile methodologies
• At least 3-4 years (running in parallel to the above) managing releases to the cloud and / or on-prem environments

Total minimum experience for program manager: 12 years.

Total minimum experience for Sr. Program manager: 14 years.

• Study design briefs and determine requirements
• Conceptualize visuals based on requirements
• Prepare rough drafts and present ideas
• Develop illustrations, logos and other designs using software or by hand Work with copywriters and brand leads to produce final design
• Test graphics across various media
• Amend designs after feedback
• Ensure final graphics and layouts are visually appealing and on-brand

• Proven graphic designing experience of 5 – 7 years
• A strong portfolio of illustrations or other graphics
• Familiarity with design software and technologies (such as InDesign, Illustrator, Dreamweaver, Photoshop)
• A keen eye for aesthetics and details
• Ability to work methodically and meet deadlines