You'll deliver the product roadmap, designing and shipping new capabilities across messaging, voice and carrier integrations.
You'll own features end to end from design through testing, release and monitoring in production.
You'll keep services reliable at scale by watching performance and failure behavior.
Telegent builds AI-native workflows on mobile networks, enabling headless programmability for call routing and messaging without SIM cards. The culture values fast, high-quality code delivery, offering meaningful work on unique technology with a focus on rapid innovation.
Design, build and ship AI-native applications and experiences for real-world use cases.
Build applications using large language models, generative AI APIs and agentic architectures.
Develop high-quality software using Python, TypeScript/JavaScript or comparable modern languages.
Valtech transforms how people experience the world through technology, combining technology, creativity, and experience to solve meaningful business challenges. The company fosters a culture of continuous learning, meaningful impact, and professional growth, with a borderless global framework enabling seamless collaboration.
Lead the GTM AI Engineering team, building AI agents, copilots, and workflow automations for Sales, Customer Success, Support, and Enablement.
Spend about 70% of your time hands-on building (prototyping agents, writing code, designing evals) and 30% leading strategy and influencing stakeholders.
Own the GTM AI platform architecture, evaluation frameworks, model routing, and adoption across the field.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations that depend on physical operations to harness IoT data for actionable insights. As a recent public company, Samsara values autonomy, long-term thinking, and a growth mindset, with a flexible remote-first culture.
Lead large, cross-team technical work on the platform as a senior individual contributor.
Advance AI-native engineering practices, owning how teams deliver with AI and driving adoption of new methodologies.
Grow other engineers through tailored mentorship and build strong relationships across product, design, and cross-functional partners.
Pathstream reshapes how frontline employees and managers excel through enterprise partnerships that transform teams from transactional to strategic. It is a tight-knit, mission-driven team of ~60 employees eager to scale its solution and transform customers' careers.
Build and maintain AI-powered product features across the full stack, including frontend, backend, APIs, and SDKs.
Develop end-to-end experiences for AI-driven capabilities like the Adoption Agent and MCP connector.
Collaborate closely with the CTO and product team to define the technical roadmap for an AI-first product.
Userflow is a product adoption platform that helps businesses guide users toward realizing full product value through in-app experiences. The platform reaches over 12 million end users across the US and EU, and the engineering team actively uses AI coding agents in daily development.
Design, develop, and deploy AI-powered tools, agents, and automation that streamline workflows across the organization.
Connect LLMs and AI applications with internal systems, APIs, and enterprise tools to enable intelligent operations.
Own the infrastructure, security, monitoring, and reliability needed to scale AI solutions in production.
Phantom is building a self-custody crypto wallet and trading app that provides access to global markets, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. The company is around 180 people, fully remote, and backed by a $150M Series C from a16z, Sequoia Capital and Paradigm.
Partner directly with clients to turn ambiguous business challenges into clear technical plans and prototypes.
Build and deploy AI-enabled applications, agentic workflows, APIs, data pipelines, and full-stack products.
Engineer reliable agent harnesses, evaluation frameworks, and safeguards to ensure production-ready AI systems.
TribalScale is a digital innovation firm that partners with clients to build transformative digital products, modernize technology platforms, and apply AI to meaningful business challenges. The team values curiosity, ownership, practical innovation, and lives by principles of meritocracy, empowerment, and transparency.
Build and ship end-to-end product features across frontend, backend, and AI pipelines independently.
Advance AI capabilities through prompt engineering, evaluation, and multi-provider setups in production.
Operate live systems and shape technical architecture, engineering standards, and roadmap as an early hire.
The company builds digital infrastructure for grant funding, aggregating 18,000+ funding programmes with AI-supported analysis and expert review. As one of the first engineering hires, you'll shape the culture of ownership, iteration, and customer-first values.
Build and maintain AI agents using large language models to complete multi-step tasks within Cayuse products.
Develop and extend MCP servers and integrate AI features into existing applications through platform APIs.
Write unit and integration tests, participate in code reviews, and ship code through CI/CD pipelines.
Cayuse provides integrated technology solutions that empower organizations to conduct globally connected research, advancing impact in science and discovery. The company is a team of highly skilled, multidisciplinary professionals building a remote-first culture with a focus on customer and employee values.
Ship working software to production frequently, in small increments, and lead projects end to end from spec to launch.
Build and deploy AI agents and features for customers and internal teams, extending the enterprise context layer.
Provision and run infrastructure, own what you ship, and mentor engineers across the team.
Fleetworthy offers the only complete technology suite for fleet readiness, uniting safety and compliance, toll management, and weigh station bypass solutions. Trusted by 75% of the top fleets in North America, we support millions of vehicles and drivers and are recognized across the industry for innovation and leadership.
Own the end-to-end architecture for AI products, including model selection, multi-agent orchestration, and retrieval systems.
Lead implementation of shared AI services, SDKs, and platform standards for production AI systems.
Provide technical leadership, mentoring, and stakeholder management to deliver high-impact AI initiatives.
RealPage provides software and AI solutions for the real estate and property management industry. It is a large organization that emphasizes innovation, engineering excellence, and responsible AI in a collaborative culture.
Build and maintain LLM-powered 'company brain' knowledge systems and agentic memory solutions.
Design, deploy, and operate production agentic applications with Claude Code, AWS, and robust harnesses.
Enable transformation through training, workshops, and stakeholder partnership across a 500-person organization.
TribalScale is a digital innovation firm that partners with clients to build transformative digital products, modernize platforms, and apply AI to business challenges. Its culture values curiosity, ownership, practical innovation, and collaboration across multidisciplinary teams.
Own end-to-end development of AI observability features, from ingestion to visualization.
Architect data models and infrastructure for observing AI agents across Honeycomb.
Partner with product and design to build intuitive workflows and share best practices.
Honeycomb is an observability platform that helps developers debug complex distributed systems, serving customers like HelloFresh and Slack. The company has surpassed 200 employees, closed Series D funding, and fosters a distributed-first, inclusive, and high-trust culture.
Design and build the infrastructure for AI agents to handle software development tasks from tickets to pull requests.
Orchestrate and integrate autonomous coding agents, development environments, and workflow tools like Slack and Jira.
Establish security guardrails, measure agent performance, and improve engineering speed and reliability.
The company builds an AI-powered engineering platform for fantasy sports, enabling autonomous agents to manage software delivery and improve developer productivity. It is a fast-growing, remote-first organization that values experimentation, collaboration, and AI automation.
Own the architecture and maintenance of agentic AI systems.
Apply latest AI advancements to build a fully agentic user experience.
Deliver features with engineers and stakeholders.
matchmatch builds 3D visualization technologies and a product catalog to create immersive customer experiences. It is a collaborative startup environment with small teams focused on innovative AI solutions.
Write production code daily and modernize the SDLC with CI, tests, staging, feature flags, and coding agents.
Coach the existing engineering team and set the roadmap with the GM.
Put AI in the product with retrieval, tool use, evals, and guardrails.
Beacon Holdings acquires and operates vertical SaaS companies, scaling through software and AI rather than headcount. The firm has raised $550M+ from top investors and values humility, honesty, hunger, and horizon.
Build labeled evaluations from real agent activity and publish monitor precision and recall.
Run monitors across customer fleets and identify unread events.
Turn patterns into proposed policies and refinements for security engineers.
Sondera develops a policy engine for AI agents that enforces natural-language rules to ensure agents act as intended. The team includes veterans from top security and AI companies and is backed by leading venture firms, emphasizing a remote, writing-intensive culture.
Build internal apps and AI agents for sales and services teams.
Develop and maintain data pipelines and dashboards from Salesforce, HubSpot, and other tools.
Test AI products before launch and advise leadership on AI tools and proposals.
Automox is the cloud-native IT operations platform for modern organizations, trusted by over 2,500 companies including NASA and Yale. They value a 'one team' mentality with collaboration and ownership, enabling employees to grow their careers.
Own the architecture of the agent platform and set technical direction for how agents are built at Quo.
Build advanced orchestration, memory, and self-learning so agents improve from customer feedback.
Mentor engineers through design and code reviews while driving scale, performance, and reliability.
Quo builds an AI-powered platform bringing calls, texts, and customer info together for small businesses. Trusted by 120,000+ companies, it's a remote-first startup with a fast-moving, autonomy-driven culture.
Build AI-powered agents and tools end-to-end: identify problems with clients, prototype quickly, evaluate rigorously, and ship to production.
Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows.
Work directly with clients to understand workflows, validate AI behavior, and iterate toward production quality.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. With over 1,500 firms in 60 countries and nearly $10 trillion in assets on the platform, Addepar fosters a culture of ownership, collaboration, and continuous learning.