Lead the engineering squad building the next-generation fundraising platform, digitizing private capital markets through a seamless subscription experience.
Drive technical direction, architectural decisions, and solve complex, high-scale engineering challenges alongside your team.
Champion AI-native development practices to achieve productivity gains and foster a culture of rapid iteration and quality.
Juniper Square is a operations partner for private markets, unifying technology, data, and fund administration services into a single platform. With 1,000+ employees and backed by $350M+ in funding, the company has a culture built for ambitious, meaningful work with high standards and rapid growth.
Develop and execute verification plans for mixed signal components, ensuring comprehensive coverage against architectural and microarchitectural specifications.
Build and maintain test benches and verification environments to validate functionality, timing, and power requirements.
Create analog behavioral models and system simulation models, and collaborate with cross-functional teams to debug and resolve issues.
Intel is a global leader in semiconductor design and manufacturing, delivering technologies that power computing and innovation. The Central Engineering Group builds scalable engineering solutions across product enablement, custom ASIC, and foundry enablement, with a focus on customer-driven end-to-end solutions.
Design and develop 3D simulation environments and interactive systems using Panda3D.
Build, maintain, and optimize high-quality Python and C++ codebases for simulation and game logic.
Collaborate with AI engineers and software teams to translate requirements into scalable technical solutions.
Our partner develops advanced 3D simulation environments for AI training applications. The company culture emphasizes collaboration with engineers and researchers in a highly technical domain.
Partner directly with customers to translate challenges into scalable AI solutions and lead technical discovery.
Design, build, and deploy AI applications using LLMs, cloud-native architectures, and CI/CD pipelines.
Mentor engineers and guide technical workstreams across multiple client engagements with strong ownership.
Jobgether is an AI-powered job matching platform connecting candidates with hiring companies. They use automated processes to evaluate applications and share shortlists with employers, emphasizing efficient, fair recruitment.
Own design, development, and performance of full-stack applications for federal healthcare systems using Python and React or Angular with TypeScript.
Lead technical design decisions, introduce new technologies including AI, and mentor engineers to foster collaboration and ownership.
Work cross-functionally to support CMS Quality Management programs and improve healthcare delivery outcomes.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. The company operates remotely with a mission-driven, collaborative culture, and uses technology to ensure fair and efficient candidate evaluations.
Build AI-powered workflows, assistants, agents, and automation systems across customer support, CRM, and finance operations.
Work with product and engineering teams to turn manual processes into scalable AI-native systems using LLMs, APIs, and internal data.
Prototype quickly, test with users, then productionize what works, ensuring evaluation, monitoring, and reliability.
Bjak believes people deserve smarter ways to plan, save and grow their money, starting with the first mobile-first insurance platform in Southeast Asia. They have teams worldwide with over 20 nationalities working from offices and remotely, seeking talented and driven people.
Build customer-facing and internal product features end to end.
Develop web flows, backend APIs, admin tools, dashboards and operational systems.
Support products across insurance, payments, savings, investing, travel and financial services.
BJAK is a fintech company that provides a mobile-first insurance platform and is expanding into spending, saving, investing, and financial services. They have teams across the world with over 20 nationalities and a culture that values passion, ownership, and building great products.
Deliver major features and architectural improvements across the Add-ons stack, including automated moderation pipelines, Reviewer tools, and DevHub.
Improve platform reliability through deployments, monitoring, and incident response, while creating robust observability systems and data-backed insights.
Collaborate with designers, product managers, QA, and community contributors to deliver end-to-end improvements and resolve issues impacting users and developers.
Mozilla Corporation is the non-profit-backed technology company behind Firefox and other products, focused on making the internet better for people. With over 225 million users and wholly owned by the non-profit Mozilla Foundation, we are committed to open-source software and a people-first mission, not shareholders.
Own onboarding and deployment from day one post-close, getting customers live on Snowflake, Databricks, and adjacent stack components with configured monitors, alerts, and integrations.
Drive customers to consumption by ensuring they actively use what they bought and realize measurable value, not just technical deployment.
Unblock customers fast by diagnosing deployment issues, resolving edge cases, and removing obstacles between signed contract and fully operational environment.
Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. Founded in 2019 and backed by leading investors, the company empowers data and AI teams to ship trusted AI at scale with a remote-first culture.
Lead a high-leverage remote team of four infrastructure engineers, driving the evolution toward a scalable zero-toil platform.
Guide the team through an AI-driven engineering approach to reduce manual work and achieve zero-touch, scalable infrastructure.
Prepare and execute the strategy for CI/CD and artifact distribution systems to scale during a quality surge without increasing engineering toil.
Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems across complex business processes. Trusted by over 700 organizations worldwide, including 9 of top 10 US banks, Camunda is a fully remote and global company with 150+ engineers across 20+ teams, and is transforming into an AI-first organization.