Careers
Build governed AI knowledge work with us.
We are hiring across the teams that make Satinash reliable, useful, source-grounded, and easy to adopt.
Open positions
18 roles across engineering, AI, infrastructure, product, customer, marketing, and people teams.
Platform DevOps Engineer
Infrastructure
Platform DevOps Engineer
Own the deployment, observability, and runtime foundations behind Satinash's public and app surfaces.
You will keep releases boring, infrastructure visible, and production paths easy for engineers to operate.
Technical focus
- Bun, Astro, Django, worker, and static-site release pipelines with explicit environment contracts.
- Native TLS, mapped-host, Caddy, Linux service, and post-deploy smoke-test ownership.
- Build-cache, artifact, rollback, and deploy-preflight improvements that reduce release risk.
What you will do
- Maintain CI, deployment automation, TLS, and environment contracts for the website and app.
- Improve monitoring, incident response, and operational playbooks across the native stack.
- Partner with backend and frontend teams to make release paths simpler and safer.
What helps you thrive
- Strong production experience with Linux, CI/CD, web hosting, and infrastructure-as-code workflows.
- Comfort debugging network, certificate, build, and runtime issues across services.
- A taste for simple operational systems, clear runbooks, and measurable reliability.
Site Reliability Engineer
Infrastructure
Site Reliability Engineer
Build the operational muscle that keeps Satinash responsive as teams depend on it for daily knowledge work.
You will turn reliability goals into practical telemetry, alerts, and recovery paths.
Technical focus
- Service-level indicators for API latency, stream health, worker queues, connector syncs, and static website uptime.
- Structured logs, metrics, traces, alert thresholds, and runbook automation for production incidents.
- Database, queue, cache, and long-running task behavior under load and failure conditions.
What you will do
- Define service-level signals for website, API, worker, and connector paths.
- Create incident tooling and dashboards that make failures fast to isolate.
- Lead resilience exercises and post-incident improvements with engineering teams.
What helps you thrive
- Experience operating customer-facing SaaS systems with meaningful uptime expectations.
- Fluency with logs, metrics, traces, queues, and database-backed application systems.
- Clear written communication for incidents, follow-ups, and technical decision records.
Full-Stack Product Engineer
Engineering
Full-Stack Product Engineer
Shape end-to-end product workflows from governed knowledge setup to polished user-facing answers.
You will work across UI, APIs, tests, and product behavior without losing sight of the user.
Technical focus
- TypeScript interfaces, React/Astro views, Django APIs, and PostgreSQL-backed product contracts.
- Dataset, Core, connector, chat, and admin workflows that need clear state and permission boundaries.
- Focused unit, integration, and browser tests that guard behavior rather than static copy.
What you will do
- Build durable frontend and backend features for knowledge work, admin, and collaboration flows.
- Write targeted tests that prove behavior, not just rendered copy.
- Refine existing owners instead of adding parallel implementations.
What helps you thrive
- Strong TypeScript and Python experience in production web applications.
- A track record of shipping scoped features with clean interfaces and reliable tests.
- Comfort reading an existing codebase before choosing the implementation path.
Frontend Engineer, Design Systems
Engineering
Frontend Engineer, Design Systems
Evolve Satinash's visual system, interaction patterns, and performance-sensitive product surfaces.
You will help make complex AI workflows feel calm, legible, and fast.
Technical focus
- React, TypeScript, CSS tokens, responsive layouts, accessible controls, and dense dashboard ergonomics.
- Buffered text input, debounced derived state, optimistic UI, and route-level rendering performance.
- Evidence views, graph detail panels, form-heavy admin screens, and reusable product chrome.
What you will do
- Build reusable UI patterns for navigation, forms, data-heavy views, and evidence surfaces.
- Improve accessibility, responsiveness, and input performance across the web app.
- Partner with product design to keep visual decisions consistent and purposeful.
What helps you thrive
- Deep React, TypeScript, CSS, accessibility, and browser behavior experience.
- Strong judgment around component boundaries, design tokens, and interaction states.
- Ability to validate UI changes with automated and visual checks.
Backend Engineer, Knowledge Graph
Engineering
Backend Engineer, Knowledge Graph
Design backend systems that connect documents, datasets, Cores, tools, permissions, and evidence trails.
You will make the graph of knowledge explainable, secure, and fast enough for real teams.
Technical focus
- Django service owners, PostgreSQL schema design, pgvector-backed document profiles, and API serializers.
- Document lifecycle state, dataset links, Core permissions, retention, and retrieval eligibility contracts.
- Migration-safe canonical SQL, retained schema patches, and regression tests for state transitions.
What you will do
- Improve data models and APIs for retrieval, document state, graph details, and Core configuration.
- Write clear tests around permissions, lifecycle states, and user-visible contracts.
- Keep schema and runtime logic consolidated in the native service owners.
What helps you thrive
- Production experience with Python, Django or similar frameworks, PostgreSQL, and API design.
- Comfort reasoning about data ownership, lifecycle transitions, and permission boundaries.
- A disciplined approach to tests, migrations, and rationale comments for non-trivial logic.
AI Retrieval Engineer
AI
AI Retrieval Engineer
Improve how Satinash retrieves, ranks, cites, and explains knowledge from customer-controlled sources.
You will make answers more useful by making retrieval more precise and auditable.
Technical focus
- Embedding model selection, chunking profiles, vector search, reranking, citation spans, and source filtering.
- Retrieval diagnostics for stale documents, permission scope, ingestion settings, and model-dimension mismatches.
- Offline eval sets, query taxonomies, recall/precision tradeoffs, and answer-grounding review workflows.
What you will do
- Tune retrieval, reranking, chunking, and citation strategies for diverse knowledge sets.
- Create evaluation datasets and diagnostics for answer quality and source grounding.
- Partner with product engineers to expose retrieval behavior in understandable UI.
What helps you thrive
- Hands-on experience with embeddings, ranking systems, LLM retrieval, and evaluation loops.
- Strong Python skills and comfort reading production service code.
- Practical skepticism about magic: you prefer measured improvements and visible evidence.
AI Agent Systems Engineer
AI
AI Agent Systems Engineer
Build orchestration systems that let models use tools, knowledge, and policies without brittle shortcuts.
You will help make AI workflows trustworthy when users ask complex, multi-step questions.
Technical focus
- Structured tool schemas, planner budgets, runtime observations, artifact contracts, and UI message streams.
- MCP-style tool exposure, connector capability metadata, dependency handling, and model-agnostic tool choice.
- Evaluation harnesses for tool calls, final-answer repair, source scope, and multi-step task reliability.
What you will do
- Design planner, tool-use, and final-answer behavior around structured contracts.
- Evaluate model behavior across tool schemas, source scopes, and workflow constraints.
- Remove brittle routing logic in favor of generic, observable runtime decisions.
What helps you thrive
- Experience building LLM applications with tool use, evaluation, and production constraints.
- Strong backend engineering fundamentals and comfort debugging model-system interactions.
- A preference for explicit contracts over prompt-only or keyword-based behavior.
ML Evaluation Engineer
AI
ML Evaluation Engineer
Create measurement systems that show whether Satinash answers are grounded, useful, and safe to trust.
You will give product and engineering teams the signal they need to improve AI quality.
Technical focus
- Golden datasets, rubric-based review, sampling strategy, failure taxonomies, and regression dashboards.
- Metrics for retrieval quality, citation correctness, answer completeness, refusal behavior, and tool success.
- Python analysis workflows that connect product telemetry, fixture data, and model-output review.
What you will do
- Build offline and online eval workflows for retrieval, tool use, citations, and answer quality.
- Create fixtures, dashboards, and review loops that make regressions visible.
- Collaborate with AI engineers to turn failures into targeted product improvements.
What helps you thrive
- Experience designing evaluations for LLM, search, retrieval, or recommendation systems.
- Strong Python and data analysis skills with a bias toward reproducible methods.
- Clear judgment around statistical signal, qualitative review, and product impact.
Security Engineer
Security
Security Engineer
Protect customer knowledge, credentials, connectors, and administrative control planes.
You will help Satinash earn trust by making security work practical for builders and operators.
Technical focus
- OAuth flows, session boundaries, connector credentials, service-account paths, and scoped access controls.
- Threat modeling for retrieval, file ingestion, admin operations, secrets handling, and external tool execution.
- Audit trails, abuse prevention, secure defaults, incident response, and security regression coverage.
What you will do
- Review authentication, authorization, connector, secret, and deployment flows.
- Lead threat modeling, security testing, and remediation planning for product features.
- Improve secure defaults, auditability, and operational guardrails across the stack.
What helps you thrive
- Experience securing SaaS applications, APIs, cloud infrastructure, and identity flows.
- Comfort partnering with engineers to land pragmatic fixes and durable tests.
- Strong written communication for risks, decisions, and incident-ready documentation.
Quality Engineering Lead
Quality
Quality Engineering Lead
Raise the quality bar for product workflows that combine data, AI, permissions, and UI.
You will turn high-risk behavior into clear test strategy, automation, and release confidence.
Technical focus
- Backend pytest, Bun frontend tests, Astro checks, Playwright/browser smoke tests, and CI release gates.
- Fixture hygiene, API contract assertions, user-visible state checks, and high-signal regression coverage.
- Risk-based validation plans for streaming, retrieval, ingestion, billing, auth, and admin workflows.
What you will do
- Design test strategy for cross-surface features and critical regression paths.
- Build automation around user-visible contracts, API behavior, and release gates.
- Coach engineers on concise, behavior-focused tests that avoid brittle copy assertions.
What helps you thrive
- Experience leading quality strategy for complex web applications.
- Strong automation skills across API, frontend, and integration test layers.
- A practical understanding of risk, coverage, and when broader validation is warranted.
Product Manager, AI Workflows
Product
Product Manager, AI Workflows
Guide the experiences that help people ask better questions, inspect evidence, and act with confidence.
You will translate complex AI capability into workflows that users can understand and repeat.
Technical focus
- Cores, datasets, retrieval, chat orchestration, tool execution, source trails, and admin governance.
- Product specs that turn AI behavior into testable contracts, acceptance criteria, and measurable outcomes.
- Telemetry, support patterns, research interviews, and eval data that shape workflow priorities.
What you will do
- Define product requirements for Cores, chat, retrieval, tool use, and evidence review.
- Work with design and engineering to make AI behavior understandable and testable.
- Use research, support signals, and product metrics to prioritize the roadmap.
What helps you thrive
- Experience managing technical products with AI, data, search, developer tools, or enterprise workflows.
- Strong written product thinking and ability to clarify ambiguous user needs.
- Comfort making tradeoffs across usability, correctness, reliability, and scope.
Product Designer
Product
Product Designer
Design calm product surfaces for dense knowledge workflows, admin controls, and AI answer review.
You will make Satinash feel powerful without making users fight the interface.
Technical focus
- Information architecture for knowledge setup, evidence inspection, connector configuration, and admin workflows.
- Design tokens, accessible interaction states, responsive layouts, and component behavior for dense SaaS tools.
- Prototypes that clarify AI uncertainty, citation trust, tool activity, loading states, and error recovery.
What you will do
- Design core workflows, interaction states, information architecture, and visual systems.
- Prototype complex AI and data experiences with attention to evidence and trust.
- Partner tightly with engineering to ship polished, responsive, accessible UI.
What helps you thrive
- A portfolio showing sophisticated product design for complex tools or data-heavy apps.
- Strong systems thinking around components, states, hierarchy, and interaction patterns.
- Comfort working from product intent through implementation details.
Technical Writer
Product
Technical Writer
Write docs that help users understand Cores, datasets, connectors, AI behavior, and admin operations.
You will make the product easier to adopt by turning complex systems into clear guidance.
Technical focus
- Connector setup guides, Core configuration docs, API-adjacent references, admin runbooks, and troubleshooting flows.
- Source-grounding, ingestion, retrieval, permission, and model-behavior explanations for technical readers.
- Release notes and migration-style guidance that map product changes to user-visible effects.
What you will do
- Create product docs, setup guides, release notes, and troubleshooting material.
- Partner with engineering and support to keep documentation accurate as behavior changes.
- Develop examples that show how real teams use Satinash in daily workflows.
What helps you thrive
- Experience documenting technical SaaS, AI, data, security, or developer products.
- Ability to test workflows yourself and ask precise questions when behavior is unclear.
- Clear, plain writing that respects expert readers without assuming too much context.
Developer Relations Engineer
Developer Relations
Developer Relations Engineer
Help technical users understand, extend, and trust Satinash's connectors, tools, and AI workflows.
You will turn product capability into examples, demos, talks, and feedback loops.
Technical focus
- Sample connector workflows, MCP-style tool demos, local setup guides, and technical launch examples.
- Developer-facing tutorials that explain schemas, auth setup, retrieval behavior, and evidence inspection.
- Community feedback loops that turn integration pain into concrete product and documentation improvements.
What you will do
- Build sample workflows, technical content, and demo environments for developers and admins.
- Represent user feedback to product and engineering with clear evidence.
- Support launches, events, and community conversations around governed AI knowledge work.
What helps you thrive
- Hands-on engineering background with strong communication instincts.
- Experience creating developer-facing content, demos, or community programs.
- Comfort explaining AI and integration concepts without hype or hand-waving.
Solutions Engineer
Customer
Solutions Engineer
Map customer workflows to Satinash Cores, connectors, permissions, and rollout plans.
You will help prospective and new customers see a practical path from scattered knowledge to governed answers.
Technical focus
- Identity, connector authentication, data-source mapping, permission design, and deployment-readiness reviews.
- Technical discovery that turns security, compliance, and workflow constraints into feasible solution plans.
- Pilot architectures that cover source scope, model choice, retrieval quality, and admin operating model.
What you will do
- Run discovery, demos, pilots, and technical solution design for customer teams.
- Translate customer requirements into product feedback and implementation plans.
- Partner with sales, success, and engineering to unblock complex deployments.
What helps you thrive
- Experience in solutions engineering, sales engineering, consulting, or technical onboarding.
- Strong understanding of SaaS integrations, identity, security, and data workflows.
- Ability to communicate with executives, admins, and hands-on technical users.
Customer Success Manager
Customer
Customer Success Manager
Help teams adopt Satinash, expand usage, and turn knowledge workflows into lasting habits.
You will make sure customers get value after launch, not just during the sale.
Technical focus
- Workspace configuration, Core rollout, connector adoption, usage signals, and health-score instrumentation.
- Customer enablement for admins, champions, security reviewers, and hands-on knowledge workers.
- Escalation patterns that preserve context across support, product, solutions, and engineering teams.
What you will do
- Own onboarding, adoption plans, success reviews, and renewal readiness for customer accounts.
- Identify workflow gaps and coordinate with product, support, and solutions teams.
- Create repeatable customer playbooks for common rollout patterns.
What helps you thrive
- Experience managing customer relationships for B2B SaaS or technical products.
- Strong organization, empathy, and executive-ready written communication.
- Comfort learning technical workflows well enough to guide practical adoption.
Growth Marketing Manager
Marketing
Growth Marketing Manager
Build demand programs that explain Satinash to people who need governed, source-grounded AI work.
You will connect positioning, campaigns, content, and measurement into a coherent growth engine.
Technical focus
- Lifecycle campaigns, attribution, SEO, product analytics, CRM hygiene, and funnel instrumentation.
- Messaging for retrieval, citations, governance, connectors, admin controls, and technical buyer concerns.
- Experiment design that connects campaign hypotheses to qualified pipeline and product-qualified signals.
What you will do
- Plan and execute campaigns across content, lifecycle, paid, events, and partner channels.
- Measure funnel performance and turn signal into sharper messaging and better experiments.
- Work with product, sales, and customer teams to tell grounded stories from real workflows.
What helps you thrive
- Experience growing B2B SaaS, AI, data, developer, or productivity products.
- Strong campaign execution skills with comfort in analytics and experimentation.
- A clear writing style and low tolerance for vague AI marketing claims.
People & Talent Lead
People
People & Talent Lead
Build the hiring and people systems that help Satinash scale with clarity and care.
You will shape how we attract, evaluate, onboard, and support the team.
Technical focus
- Structured interview loops, role scorecards, hiring analytics, ATS hygiene, and onboarding instrumentation.
- Technical recruiting calibration across infrastructure, backend, frontend, AI, security, and go-to-market roles.
- People programs that keep feedback, leveling, compensation, and manager workflows lightweight but consistent.
What you will do
- Run recruiting operations, candidate experience, onboarding, and people programs.
- Partner with leaders to define roles, interview loops, leveling, and feedback practices.
- Create lightweight systems that keep hiring fair, fast, and respectful.
What helps you thrive
- Experience leading recruiting or people operations at a growing technology company.
- Strong judgment around structured interviewing, candidate communication, and team health.
- A builder mindset: you prefer clear, usable process over heavy policy theater.