Tribe AI

AI Engineer

• Collaborate with sales teams to understand upcoming project needs, prioritize and align platform capabilities with market demands, and drive value propositions that streamline deal conversion
• Partner directly with active project teams through 1:1 pairing sessions to provide platform expertise and ensure optimal implementation
• Track key metrics to quantify the platform's value, gather user feedback, and continuously improve the platform experience
• Identify successful project-specific implementations that can be standardized into the core platform
• Develop and maintain comprehensive ROI models demonstrating the business value of platform adoption across projects
• Drive production reliability, lead issue triage and coordinate resolution with engineering teams and communicate with affected clients

Lead AI Platform Product Manager

Technical Recruiter

• Own hiring for Tribe’s most important technical roles
• Hire for Tribe’s most important technical and delivery roles
• Build a scalable, high-quality technical hiring engine
• Own full-cycle recruiting for technical and hybrid roles
• Develop durable, high-signal pipelines
• Partner closely with technical leadership
• Build for leverage
• Drive operational excellence across the funnel

Senior Technical Recruiter

Recruitment

• Hire for Tribe’s most important GTM and delivery roles: Enterprise AEs, Sales Managers, Sales Engineers, as well as key hires for Marketing, Partnerships and Delivery.
• Build a scalable, high-quality hiring engine: Create structured processes, scorecards, and interview frameworks that raise the bar as we grow.
• Own full-cycle recruiting for all non-technical roles: Source, evaluate, and close exceptional candidates with the technical aptitude and consultative skills required to succeed in applied AI.
• Develop strong and sustainable top-of-funnel pipelines: Use outbound sourcing, referrals, events, content marketing and creative research strategies to identify talent in a fast-evolving market.
• Partner closely with leadership: Define emerging role profiles, forecast hiring needs, and ensure recruiting strategy maps to business priorities.
• Build for leverage: Manage external search partners with clear expectations and performance standards, and identify and onboard any additional support you need to scale.
• Drive operational excellence across the funnel: Own analytics for time to hire, conversion rates, and quality of hire. Install improvements that support rapid growth without compromising quality.

Senior GTM Recruiter

• Maintain, enhance, and expand our foundational codebase ("Foundry") that serves as reusable building blocks for project teams
• Support project teams in effectively utilizing our platform components, helping them achieve 50-70% reuse of existing code
• Identify opportunities to incorporate successful project implementations back into the platform for future reuse
• Proactively address bugs, performance issues, and feature gaps in the platform
• Reduce barriers to productivity by creating training materials and documentation for platform components
• Design and implement onboarding processes to help team members become productive with the codebase quickly
• Provide hands-on support through pairing sessions and code reviews with project teams
• Work closely with sales teams to understand upcoming project requirements and advise on platform capabilities and impact
• Collaborate with project teams throughout the delivery lifecycle to understand what's working and what needs improvement

Lead Platform AI Engineer

Account Executive

• Lead the entire sales cycle, from prospecting and presenting to negotiating and closing.
• Identify and engage prospective clients in large enterprises, focusing on AI services, backend infrastructure, and cloud-based solutions.
• Develop strategic account plans and tailor solutions to meet client-specific needs.
• Build and nurture long-term client relationships, acting as a trusted advisor.
• Collaborate with internal teams (e.g., product, fulfillment) to align client needs with service and platform offerings.
• Consistently meet and exceed sales quotas and revenue targets.
• Represent Tribe AI at industry events, conferences, and networking opportunities.

Strategic Account Executive

Account Manager

• Operate in a high-velocity environment where partner GTM shifts weekly — making fast, informed decisions with limited information.
• Develop deep connectivity to partner field teams and GTM motions, driving alignment and shared wins.
• Own and grow Tribe’s most strategic partnerships (e.g., OpenAI, Anthropic, AWS) across GTM, co-sell, and product alignment.
• Build scalable partner programs and systems in an ecosystem where the rules aren’t written yet.
• Drive visibility and reporting for partner-sourced and influenced pipeline, delivery impact, and GTM opportunities.
• Surface customer success stories and co-build narratives with partners to amplify Tribe’s credibility in the market.
• Represent Tribe externally with precision, curiosity, and commercial instincts — building trust with senior partner stakeholders.
• Help shape Tribe’s long-term partner strategy by identifying where to bet across the GenAI landscape.

Strategic Partnerships Lead

Solutions Engineer

• Lead technical discovery with customers to understand workflows, constraints, data realities, and success criteria—and translate that into a clear technical plan.
• Architect end-to-end AI systems (GenAI + traditional ML when needed), spanning data ingestion, retrieval, orchestration, evaluation, deployment, and UX.
• Design and deliver rapid prototypes that make abstract ideas concrete and de-risk key decisions (cost/latency/reliability, integration feasibility, quality thresholds).
• Develop reference architectures and technical frameworks that demonstrate what’s possible with current and emerging AI technologies.
• Guide clients through the AI landscape—capabilities, limitations, tradeoffs, and what it takes to operate AI systems in production over time.
• Partner with sales teams to translate technical concepts into clear value propositions, proposals, business cases, and technical presentations.
• Define technical requirements and scalable architecture patterns for production-grade systems (security, governance, observability, evaluation, and reliability).
• Collaborate with fulfillment to ensure solutions align with customer needs and leverage Tribe AI’s capabilities—and help create smooth handoffs from pre-sales to delivery.
• Stay current on frontier developments, bringing in SMEs from the Tribe network and collaborating with partners (including OpenAI/Anthropic) to keep customers ahead of the curve.
• Act as a trusted advisor to technical and executive stakeholders navigating AI implementation and adoption challenges.

AI Solutions Architect

• Drive technical discovery with clients: understand environments, constraints, and the realities of dynamic enterprises.
• Design AI/ML architectures that balance speed, reliability, and cost - but never at the expense of outcomes.
• Provide architectural guardrails while enabling engineers to move fast and adapt in the field.
• Act as the forward-deployed face of technical leadership, tailoring communication from engineers to C-levels.
• Teach and enable client teams by turning complexity into clarity.
• Influence decision-making by linking technical choices to business wins.
• Guide engineers through execution without smothering them in process.
• Translate client-specific solutions into reusable patterns that strengthen our platform.
• Share insights across the company, raising the bar for future deployments.

Forward Deployed AI Architect

• Work side by side with clients, PMs, and Architects to scope and deploy AI systems that actually solve problems.
• Build and integrate systems using LLMs, RAG pipelines, agent frameworks, vector DBs, and related tools.
• Navigate real-world challenges: data access, authentication, security, networking, and brittle enterprise environments.
• Translate high-level designs into working components that deliver measurable outcomes.
• Debug relentlessly - optimize for reliability in production, not just elegance in code.
• Write modular, reusable code that balances speed of delivery with long-term maintainability.
• Embed with client engineering teams to accelerate adoption and integration.
• Share insights from field implementations to inform reusable components in our platform.
• Document decisions with clarity so both clients and internal teams can build on your work.

Forward Deployed AI Engineer

Full-stack Engineer

• Build responsive, accessible interfaces using modern frameworks (React, Next.js) that showcase AI features clearly.
• Stand up and maintain backend services, APIs, and integrations needed to support prototypes and early production.
• Translate user flows and design specs into clean, modular, well-documented code.
• Manage data fetching, model calls, and state with attention to latency, error handling, and resilience.
• Help evolve prototypes into production-ready experiences with appropriate tests, logging, and performance tuning.
• Work closely with designers to refine flows, interaction patterns, and component behavior.
• Partner with AI Engineers to integrate model endpoints, define contracts, and debug integration issues.
• Support discovery and workshops by quickly prototyping end-to-end flows that make AI concepts tangible.
• Communicate trade-offs and implementation options clearly to PMs and client stakeholders.
• Contribute to internal templates, component libraries, and coding standards that improve speed and consistency.

Forward Deployed Full-Stack Developer

Product Manager

• Lead technical discovery with clients and design tailored AI solutions
• Define product vision and success metrics, maintain a prioritized backlog
• Own the product lifecycle end-to-end and lead client status meetings
• Ensure deliverables meet technical standards and user needs
• Translate client-specific solutions into scalable, repeatable products

Lead Forward Deployed Product Manager

Product Designer

• Lead design for AI agent experiences (chat and voice) — conversation blueprints, multi-turn flows, escalation paths, and error handling
• Map user journeys, design information architecture, and create wireframes that bring clarity to complex workflows.
• Translate abstract AI capabilities into approachable user experiences that drive adoption and trust.
• Simplify complex workflows and data interactions through clear, thoughtful design.
• Deliver clickable prototypes that visualize future-state product experiences for stakeholder validation.
• Support discovery by contributing design expertise on AI agent patterns, interaction models, and conversation design
• Co-facilitate workshops with project teams to define user flows, agent behavior, and experience strategy
• Ground design decisions in user research, feedback sessions, and real-world constraints.
• Balance innovation with practicality — ensuring your designs can scale in real production environments.
• Contribute to internal design playbooks and reusable design systems that raise the bar across engagements.