Lead the team's quality efforts by setting product-specific quality strategy, planning and distributing work, coaching team members, and surfacing risks early. Remain hands-on with exploratory and automated testing, own defect triage and release readiness, and establish evaluation practices for LLM-powered features.
The Delivery Manager will oversee delivery strategy, client relationships, and project margins across multiple engagements. They act as the primary escalation point, ensuring alignment between internal teams and client stakeholders from contract signing through project handoff.
You will build and maintain governed data foundations on Databricks to support AI agents and business applications. This involves implementing entity resolution, data quality checks, access controls, and API interfaces to ensure data is deterministic and traceable.
You will own LLM-powered systems end-to-end, transitioning from initial proof of concepts to production-grade systems that solve complex business problems. You will act as a hybrid engineer and scientist, ensuring model quality through rigorous evaluation and engineering discipline.
You will own a portfolio of strategic accounts, driving their growth, retention, and expansion through proactive relationship management. You will act as the voice of the customer internally while collaborating with delivery teams to ensure successful outcomes and identify referral opportunities.
The Product Manager will own the strategic roadmap and lead cross-functional teams to deliver AI products from conception to launch. They are responsible for aligning business objectives with engineering and design efforts while maintaining clear communication with stakeholders.
Lead the product development of an Enterprise Context Layer by defining requirements, managing stakeholder alignment, and driving internal adoption. You will collaborate with architects and engineers to ensure data definitions and models meet business needs while maintaining a clear project cadence.
The Product Manager will own the strategic roadmap for AI products and lead cross-functional teams of developers and designers. They are responsible for driving product execution from conception to launch while maintaining alignment with business objectives and client needs.
The Senior QA Engineer will own end-to-end quality strategy, including designing test plans and implementing automated suites for UI and API layers. They will act as a final checkpoint before production, collaborating with cross-functional teams to define acceptance criteria and ensure high-quality product releases.
You will design and execute risk-based testing strategies, including functional, API, and automated UI testing using Playwright. Additionally, you will collaborate with cross-functional teams to advocate for quality, maintain CI/CD pipelines, and perform root cause analysis on production issues.
You will own the end-to-end development of features, including UI, API, and data layers, from design to production support. You will also collaborate with cross-functional teams to build reliable software while leveraging AI tools to accelerate development.
Design, develop, and maintain high-performance, scalable APIs using Elixir while optimizing for speed and reliability. Collaborate with cross-functional teams to deliver innovative features and mentor other developers to foster a culture of quality.
The Security Engineer will own the end-to-end vulnerability management lifecycle, including discovery, risk assessment, and remediation tracking. They will also manage SIEM platforms and automate security operations within a cloud-native AWS environment.
The Rust Engineer will join the Tech Tribe team to build, embed, and own AI systems that drive business outcomes. They will collaborate in a fast-paced environment to deliver high-quality digital products and solutions.
Rapidly prototype and iterate on backend solutions and Proof of Concepts to validate AI use cases. Collaborate with multidisciplinary teams to integrate AI/ML models into scalable, secure AWS-based systems.
Own the end-to-end architecture of complex software products, including data models, infrastructure, and security. Combine high-level system design with hands-on engineering to write critical path code and mentor the team.
Rapidly prototype and iterate on frontend solutions while integrating AI/ML models into backend systems. Collaborate with cross-functional teams to build scalable, secure systems using AWS and mentor others through knowledge sharing.
Implement and design microservices for a cloud-native platform, focusing on scalability and quality. Responsibilities include conducting code reviews and communicating technical solutions to diverse team members.
You will evolve an early-stage prototype into a functional, scalable consumer-facing mobile application. You will collaborate with senior stakeholders to translate high-level ideas into concrete technical solutions and architecture.
