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Salary
$124k – $147k per year
Location
In office (Warsaw)
Seniority
Senior · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Sep 21, 2026. Stack AI scores D on the Alion truth index.

Overview
Company
Impact
Profile match
Stack AI is an enterprise artificial intelligence company headquartered in San Francisco, California, and founded in 2022 by MIT researchers. The company offers a visual builder that lets non-engineers assemble AI agents and workflows over internal documents and business systems, with deployment options that keep data inside the customer environment. It sells mainly to regulated organizations in financial services, healthcare, and government that want agent automation without shipping data to a public model provider.

About StackAI

StackAI is the enterprise AI transformation platform for organizations with regulated and complex operations. It gives teams one place to build, deploy, govern, and scale AI agents that can analyze data, connect to business systems, and carry out business-critical workflows.

Those agents need to work wherever an enterprise’s data and systems live. StackAI supports more than 100 enterprise integrations and can be deployed in our multi-tenant cloud, in a customer’s VPC, or on-premises-allowing organizations to bring AI into sensitive operational work while retaining control over where their agents and data run.

StackAI is an Asana company and continues to operate as its own product and brand.

About the role

We are looking for a senior Python engineer who has built security-critical product systems.

You will join the Core Engineering team and build the systems that determine how StackAI encrypts customer data, manages keys and signatures, handles PHI and PII, protects customer credentials, and enforces tenant and authentication boundaries.

We’re looking for an engineer who brings strong security judgment to the software they build: someone who can move between architecture and implementation, reason carefully about trust boundaries, and turn security requirements into reliable product capabilities.

This is hands-on backend engineering in an existing, fast-moving codebase. You will write production Python and take projects from initial investigation and design through implementation, migration, rollout, and operation.

The systems you build will shape which sensitive and regulated workloads enterprises can run on StackAI and how confidently they can put them into production.

What you’ll do

  • Build encryption and key-management systems. Design and evolve how customer data is encrypted, how keys are scoped and rotated, and how these systems work across hosted, VPC, and on-premises deployments.

  • Protect sensitive data. Build the controls that detect, transform, and safely handle PHI, PII, and other sensitive data across workflows, connectors, model calls, logs, and storage.

  • Secure customer credentials. Protect the credentials and tokens customers provide to StackAI, from storage and access control through their use at runtime.

  • Strengthen product trust boundaries. Improve tenant isolation, signing and verification, session and token handling, and service-to-service authentication.

  • Create shared security foundations. Build Python services, libraries, and APIs that make security-critical behavior consistent and straightforward for other engineers to use.

  • Evolve live systems safely. Plan and execute migrations, compatibility periods, staged rollouts, observability, recovery, and rollback.

What we’re looking for

  • 4+ years of experience building and operating production backend systems.

  • Strong professional experience with Python in a substantial production codebase.

  • Hands-on experience implementing and operating security-critical product systems, including the code that enforces their guarantees.

  • Depth in at least one of the following:

    • Encryption and key management

    • Signing, authentication, sessions, or token infrastructure

    • Multi-tenant isolation

    • Sensitive-data processing

    • Secure storage and runtime use of customer credentials

  • Practical knowledge of applied cryptography

  • Experience changing critical systems without disrupting existing customers or making previously stored data inaccessible.

  • Strong judgment around trust boundaries, failure modes, and the consequences of compromise.

  • The ability to take an ambiguous technical problem from investigation through production rollout.

You do not need to have worked in every area listed above. We are looking for a strong software engineer with meaningful depth in security-critical systems and the ability to take ownership of adjacent problems.

Prior healthcare experience is helpful but not required. We care more about your ability to understand sensitive-data requirements and turn them into reliable product behavior.

Bonus points

  • Experience with HashiCorp Vault, cloud KMS products, HSMs, envelope encryption, or key rotation

  • PHI or PII detection, redaction, pseudonymization, or tokenization

  • PKI, certificate systems, or cryptographic signing

  • Multi-tenant SaaS products handling sensitive customer data

  • Experience in healthcare, payments, identity, financial infrastructure, or another security-sensitive domain

  • Self-hosted, VPC, on-premises, or air-gapped deployments

  • AI-agent, LLM, or connector-based application architecture

  • Startup or growth-stage product experience

How we work

The Core Engineering team owns the systems at the center of StackAI. Engineers take problems end to end: defining the approach, writing the code, planning the migration, and remaining accountable for how the system behaves in production.

The work moves quickly, and decisions are made close to the implementation. We value engineers who can make sound trade-offs under ambiguity, ship durable systems, and continue improving them as the product and its requirements evolve.

As part of Asana, you will be able to draw on established security and infrastructure teams when a problem crosses application and platform boundaries. This role remains embedded in Core Engineering, with direct ownership of the product systems you build.

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