Top Tech Startups to Work For in 2026

PST.AG is a growing medium-sized business with headquarters in the historical city of Weimar, Germany. With continuous coordination with legal authorities from around the world (e.g. customs authorities, export control authorities). PST.AG is the leading provider of customs/global trade data, helping companies from a diverse range of industries. You are exceptionally talented, bright, and driven people. Razor-sharp eyes for detail push them through their workdays and keep them determined to meet high standards. Does this sound like you? Then you might want to consider a career as our next team member.

At InHawk, our foundation is built on integrity, innovation, and a commitment to excellence. Since 2011, we’ve been delivering cutting-edge IT solutions that empower businesses and institutions to thrive in the digital age. Our culture celebrates teamwork and achievements, fostering an environment of mutual respect and inclusivity. With a steadfast focus on eliminating discrimination and promoting equality, we create value for all stakeholders while driving purposeful innovation and delivering solutions that matter.

Our team works closely with the research and product engineering team to develop a next-gen robust solution that improves the quality of life of users and enhances the user experience.

Starbridge.ai connects providers of software and services with public sector buyers. Founded by entrepreneurs who previously built and sold a public sector software company for nine figures. We believe that founders avoid sectors like government, education, and healthcare due to perceived barriers and red tape. Our mission is to simplify entry into these sectors, empowering a new generation of mission-driven unicorns. Like OpenAI and Stripe, we aim to enable startups, but on a larger scale: some of our early customers are solving student debt & homelessness. This role is an NYC based position for someone who will lead one of our products from 0 to 1 and work directly with the founders. We are looking for someone who is an incredibly fast learner, entrepeneurial and adaptable, that also has experience building full-stack web applications and demonstrated ability to build a great product. Additionally, you will have the opportunity to work hands on with LLM's, some of the problems we are solving include: Scraping data at scale using GPT powered web scraper and creating insights (you should sell to New York City this product) on top of the data. AI powered proposal automation: rather than write an RFP from scratch use our GPT powered writer that references your product documentation FOIA automation: extracting purchasing data from government entities at scale using a GPT agent that interacts with government entities to get data.

Ennote was founded by cloud security architects with over a decade of experience designing secure, distributed infrastructure environments for global enterprises across AWS and GCP. Across every architecture a pervasive vulnerability continuously emerged: engineering teams, faced with the overwhelming operational overhead of legacy vaults or the manual friction of unencrypted configurations, frequently bypassed approved systems to drop raw environment files directly into Slack channels and CI/CD code pipelines. This trend is not an operational discipline problem; it represents a fundamental platform architecture failure. When legacy security tooling slows down shipping velocity, developers inevitably bypass it entirely. For too long, the industry has forced companies into a binary choice: bureaucracy or chaos. Legacy vaults are powerful but require dedicated DevSecOps teams to configure and maintain. Conversely, simpler developer-focused utilities are user-friendly but lack native, real-time infrastructure automation delivery. This trade-off becomes exceptionally critical in the modern AI era, where the explosive growth of automated workflows, LLM pipelines, and machine identities demands a unified approach to security. Ennote eliminates this friction entirely. By seamlessly uniting human collaboration with Kubernetes-native machine automation, the platform establishes a single standard for enterprise secret governance. It fuses an intuitive team password vault for human workflows with a push-based, outbound-only gRPC engine that streams credentials directly into container runtime states in less than one second. This unified ecosystem bridges the gap between organizational identity and machine infrastructure, protecting all credentials under a verifiable, client-side encrypted, post-quantum zero-persistence architecture.