Production Dx Engineer Jobs

Opportunity Overview: We are seeking a Senior Integration Analyst to join our Integration Services team. In this role, you will lead the technical analysis and design of complex healthcare interoperability solutions that enable seamless integration between the Cohere platform and payer, provider, and third-party systems. You'll partner closely with Product, Engineering, Clinical, Analytics, and external stakeholders to deliver scalable, reliable integrations that improve the patient and provider experience. This is an opportunity to work with cutting-edge healthcare technology, solve complex interoperability challenges, and directly influence the evolution of Cohere's integration platform while contributing to better patient outcomes. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Serve as a subject-matter expert for healthcare interoperability and payer prior authorization integrations, leading the analysis and definition of data exchanges between the Cohere platform and payer, provider, and third-party systems Lead client-facing integration discovery and requirements-gathering sessions, translating complex payer and provider workflows into clear technical specifications Design scalable, reusable integration workflows using APIs, HL7 FHIR, HL7 v2, X12 EDI, SFTP, flat files, and other data-exchange methods Produce source-to-target mappings, interface specifications, data-flow diagrams, field definitions, validation rules, and error-handling requirements Manage integration analysis across up to three concurrent client initiatives, tracking risks, dependencies, decisions, and open issues Investigate integration failures and coordinate root-cause analysis across technical teams; review payloads, files, logs, and system behavior to resolve data-quality issues Develop test scenarios and support unit, integration, end-to-end, regression, and producti

Opportunity Overview: As a Staff Applied Scientist, you will play a critical technical leadership role on Cohere Health’s AS team, with a primary focus on powering and scaling machine learning capabilities across our products. You will apply state-of-the-art machine learning, large language models, and agentic architectures to complex clinical and operational intake workflows, helping automate decision-making, improve data quality, and reduce administrative burden for clinical teams. In this role, you will partner closely with clinical operations, product, and engineering teams to uncover hidden drivers, inform strategic decisions, and design and evaluate ML systems that directly impact how members and providers experience Cohere Health at the front door of care. This role blends deep hands-on technical work with strategic influence, mentorship, and ownership across multiple work streams, while contributing to broader ML initiatives. What you’ll do: Design, develop and evaluate advanced machine learning systems for retrieval, classification, prediction, and generative use cases. Apply advanced statistical and ML techniques to extract insights from large-scale structured and unstructured healthcare datasets. Lead model development across the ML lifecycle, including experimentation, training, evaluation, partnering with AI engineering to support deployment, monitoring, and iteration. Write and maintain reusable codebases to perform data preprocessing, model training, evaluation, and deployment Collaborate cross-functionally with product managers, clinicians, data engineers, BI engineers, and design teams to translate business and clinical needs into robust ML solutions. Drive experimentation by defining problem statements, forming falsifiable hypotheses, and designing rigorous evaluation frameworks tied to business outcomes. Review, communicate, and present ML insights and results to technical and non-technical stakeholders, including executive leadership. Serve as a

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is looking for a Front End Design Verification Engineer to help verify the fetch unit for our next generation of high-performance RISC-V CPU cores. You’ll work on the logic responsible for keeping the processor fed with the right instructions at the right time—from instruction fetch and prediction through decode and dispatch. You’ll partner closely with CPU architects and RTL designers to develop verification strategies, create sophisticated tests, debug complex failures, and ensure the front end behaves correctly across a wide range of workloads and corner cases. This is an opportunity to make a direct impact on the performance and correctness of a high performance out-of-order CPU. This role is remote, based out of North America or Spain. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A hands-on verification engineer who enjoys digging into complex processor behavior and finding subtle bugs. Comfortable working with CPU front-end concepts such as instruction fetch, branch prediction, instruction decode, queues, and dispatch. A strong problem solver who can move between specifications, RTL, simulations, and waveforms to ide

Truveta provides unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough medical discoveries, accelerate regulatory-grade evidence, and improve patient care. Today, Truveta enables research on more than 130 million de-identified patients across the US. Achieving Truveta’s ambitious mission requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . Role Overview We are looking for a Senior Security Engineer to lead data security, threat modeling, and security reviews across our applications and platforms. This role focuses on proactively identifying design-level risks , securing sensitive data, and ensuring systems are built with strong security foundations. You will work closely with engineering teams to influence architecture and embed security early in the development lifecycle. Key Responsibilities Lead security design reviews for new and existing systems, identifying risks and driving secure architecture decisions. Perform threat modeling for services and platforms, translating threats into actionable engineering requirements. Define and implement data protection strategies , including: Data classification and handling standards Encryption (at rest/in transit) Key management and secrets handling Review application architectures and APIs for security weaknesses and design flaws. Conduct third-party/vendor security assessments , ensuring risks are identified and mitigated. Partner with engineering teams to&n

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Get to know Okta Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth. At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences. Join our team! We’re building a world where Identity belongs to you. About Okta’s Enterprise Access Team Okta is The World’s Identity Company. We free everyone to safely use any technology—anywhere, on any device or app. Our Workforce and Customer Identity Clouds enable secure yet flexible access, authentication, and automation that transforms how people move through the digital world, putting Identity at the heart of business security and growth. The Enterprise Access team drives billions of authentications every month. The team builds and supports single sign-on, strong authentication, provisioning, and threat protection technologies. Our Enterprise Access service runs in the cloud on a secure, reliable, extensively audited platform with 99.99% availability. About the role We’re looking for a Principal Software Engineer for the SIW Platform team. Operating under the larger Enter

As a Platform Security Engineer you will partner with different stakeholders across the organization to secure our infrastructure and application components of the Datadog platform. As part of the Platform Security organization we secure the building blocks of Datadog’s applications and infrastructure. We do this by building solutions solving systemic risks making the secure path easier and the insecure path harder. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Solve our most challenging cloud infrastructure security & application security problems starting with our core building blocks and golden paths. Enable our engineers to build and ship secure solutions quickly. Build and extend Datadog’s Platform Security solutions. Leverage and influence the direction of Datadog’s products to secure our infrastructure, and provide internal feedback that enables our teams to improve the products for ourselves and our customers. Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent professional experience. You don't want to just provide security recommendations, you want to help implement solutions to solve systemic issues. Passionate about advocating for and implementing solutions to complex security problems, at-scale, in a large multi-cloud self-managed Kubernetes environment. Proven experience in securing enterprise SaaS applications including securing the underlying authentication flows, authorization patterns, and input validation at API boundaries. You have hands-on experience with Linux kernel internals (namespaces, cgroups, capabilities, seccomp) and hardening techniques such as KASLR, module allowlisting, or kernel self-protection (KSPP) controls. E

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team You'll work closely with several teams of engineers and PMs to shape products used by Stripe employees across engineering, operations, finance, and beyond. This is a high-impact role for a designer who finds as much satisfaction in untangling complex workflows and dense information architectures as in crafting polished interfaces. What you'll do You'll take ownership of two spaces within our internal tooling portfolio—Developer Productivity, focused on ensuring every engineer at Stripe has the tools to be productive, and Collaboration, focused on knowledge discovery and communication at scale. You'll pair with an existing designer on the team to bring design quality and consistency to surfaces that are critical to how Stripe operates internally. Responsibilities Own end-to-end design for a portfolio of internal tools—from discovery and problem framing through interaction design, prototyping, and implementation support Partner with engineering and product managers to define product requirements and translate them into clear, usable, and well-considered design solutions Conduct lightweight research and usability sessions with internal users to validate decisions and surface unmet needs Contribute to a consistent design language across our internal tools suite, working in close coordination with the Sail Design team and the Stripe design system Make design trade-offs confidently, knowing when to go deep on craft and when to ship a pragmatic sol

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. Our drivers and passengers entrust Lyft with their personal information and travel details to get where they are going and expect us to keep that data safe. Lyft's Privacy and Compliance team ensures that appropriate security controls and data protections are applied to meet our compliance requirements and customer obligations We conduct security risk assessments, consult with organizational stakeholders, monitor and continuously improve Lyft's Information Security program, facilitate third-party security audits, work with engineering teams to implement, automate, and monitor security controls, develop policies, and advise on all matters related to information security assurance. We also conduct risk assessments of our third parties to ensure we understand and can mitigate any associated risk. We are looking for a highly motivated, organized, and detail-oriented individual to join our Privacy and Compliance team. As a senior member of this team, you will support our third party risk management program by conducting risk assessments and recommending mitigations. You will also help our Customer Trust team by completing inbound security and data protection questionnaires from potential partners and customers. Responsibilities: Third Party Risk Assessments Review vendor or partner requests from internal stakeholders, understanding the business purpose Work with external stakeholders to collect relevant security and data protection information from third parties Review the information and accurately assess and document the risk, and propose potential mitigations Security Questionnaires Draft responses to customer security questionnaires (e.g., CAIQ, SIG) and assist in the ma

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. The Role We’re looking for a high-impact Revenue Enablement Manager to facilitate and continuously improve our new hire onboarding program for North America. This role will be responsible for managing an exceptional onboarding experience that equips new hires with the knowledge, skills, and confidence they need to ramp quickly and become productive members of the revenue organization. You’ll serve as a key facilitator and owner of the day-to-day onboarding experience, partnering closely with Sales Development, Sales, Customer Success, RevOps, Talent Acquisition, and the broader Enablement team to deliver a consistent, high-quality program that drives new hire readiness and performance. What You’ll Do Facilitate & Deliver New Hire Onboarding Own the day-to-day delivery and facilitation of our North America new hire onboarding program Facilitate engaging, high-quality live training sessions for new hires across Sales, Customer Success, and other customer-facing teams Create an exceptional learner experience that balances strong content, engaging facilitation, and practical application Prepare thoroughly for each onboarding cohort, ensuring content, materials, technology, and logistics are ready for delivery Ad

Senior Product Manager, Privacy Engineering The Opportunity Privacy is changing quickly. People are more aware of their privacy rights and want more control over their data, especially as AI has become part of our everyday work. Regulations are also evolving rapidly across many regions. These changes matter to Adobe as the company expands across consumer, professional, and enterprise markets worldwide. We are looking for a collaborative and innovative Lead Product Manager to guide the strategy and execution of our vision for experiential privacy. In this role, you will help manage privacy risks, identify new opportunities, and build transparent, user-centered solutions that support Adobe’s values and business goals. This is a highly cross-functional role. You will need to think strategically, influence others, and work closely with teams across Adobe, including Creativity & Productivity, Customer Experience Orchestration, Adobe Unified Platform Engineering, Digital Employee Experience, and Legal. To succeed, you are comfortable with change, act with urgency, take ownership, and deliver results while partnering with multiple teams and managing competing priorities. What You'll Do Understand needs around data protection and privacy compliance in our products, services and platforms. Translate customer, business, and legal needs into clear requirements and engage with engineering teams to deliver outstanding solutions users trust with their data. Help build features, capabilities, and tools composed to keep user and company data protected while offering transparency around how our company processes data. Collaborate with experience design teams driving the creation of mockups and review user interface designs to help ensure all privacy controls are implemented in accordance with privacy policies and requirements. Build, document and communi

Software Engineer - Product (AI Teammates Platform Team) AI Teammates are Asana’s flagship AI innovation - autonomous agents embedded directly into enterprise workflows that reason, act, and proactively drive work forward. The AI Teammates Platform (AITP) team owns the execution engine and platform layer that makes these AI Teammates effective, reliable, and scalable. We build the core systems behind agentic execution: model evaluation and rollouts, proactive detection of blocked work, execution quality infrastructure, tool orchestration, and the platform APIs that power AI across all of Asana engineering. Rather than building a monolithic feature, we build a composable foundation. If a Teammate reasons, acts, or autonomously improves - that’s us. We’re looking for people who care deeply about customers and are passionate about building products that improve the way millions of teams work together. As a member of the team developing the software of a product-led company, you won’t just code — you will be an integral part of the entire product development process, from conception to post-launch reflection. Asana is helping teams become significantly more productive with our leading work management platform. You will be manifesting continuous improvements in their experience and helping us achieve our mission to enable all teams to work together effortlessly. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Work in a high-performance, dynamic team with a strong focus on velocity and software quality Contribute to building a complex SaaS application that is a market leader in its segment G

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About the Team: The Content Authorization team manages the end-to-end process of setting up our customers with access to broker research and other specialized content. The Entitlement Analyst liaises between our customers, our sales team, and our strategic content partners (who provide access to broker research content to our customers). At our core, we are a dynamic team of highly productive people who are passionate about providing support and thrive in a rapidly changing environment. About the Role: We are looking for a passionate, driven and accomplished Entitlement Analyst to join our growing India team. This is an opportunity to join a high-growth company, and enable an award-winning product that is rapidly getting adopted across international markets. In this role, you will actively support our global sales teams with Content Authorization request

About the job Make the systems behind Graphcore’s product information work better, stay controlled, and remain trusted. You’ll administer and improve our PLM (Product Lifecycle Management) system, with responsibility for document management and the standards portal. Your work will keep product information accurate, traceable, accessible, and aligned with controlled documentation across Graphcore. You’ll configure workflows, permissions and system controls. You’ll also support users, resolve issues, and help deliver system updates and improvements. This role offers broad exposure across engineering, quality, manufacturing, and supply chain, with real ownership of business-critical systems. The team and culture You’ll join Configuration Management within Manufacturing Operations. The team keeps critical engineering data and controlled documents accurate, traceable, and effectively managed. What we’re looking for Essential Hands-on experience administering PLM, document management, operational, or other business-critical systems. Understanding of product data, revisions, engineering change, release control, workflows, and governance. Strong capability in user administration, access control, issue resolution, data quality, and controlled information management. Experience supporting engineering, manufacturing, quality, supply chain, or similar technical and operational teams. Ability to manage competing priorities independently, with strong attention to detail and clear stakeholder communication. Desirable Experience with Arena PLM, Cognidox, Accuris, system integrations, reporting, upgrades, or data migrations would be valuable. Experience of BOM (Bill Of Materials) structures. Benefits Unlimited annual leave Up to 5% matched pension Phantom equity – share in Graphcore’s success True flexibility in how and where you work Office spaces designed for collaboration Free food and an on-site barista Health cash plan Income protection Life assurance Along with other benefits

About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Role/Responsibilities: We are seeking a quantitative researcher for the Cubist Machine Learning Research group with experience in machine learning, especially recent deep learning and natural language processing technology. Researchers will use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave. Successful researchers manage all aspects of the research process including data ingestion and processing, data analysis, methodology selection, implementation and testing, prototyping, and performance evaluation. Researchers will be introduced to industry standard datasets, including understanding which data may be relevant to a certain model or financial problem; how to collect, parse, and clean the data; how to incorporate the data into innovative functional models; how to construct and develop features from raw data; and how to estimate effectiveness of such features. Researchers will also be provided with the opportunity to implement the full breadth of their knowledge and training to actively participate in all stages of research & development of financial models through use of machine learning. Based on experience from working with existing industry-standard models and algorithms, researchers will learn how to construct their own models in order to solve complex financial problems and enhance data prediction capabilities within the financial services industry. Requirements: PhD or PhD candidate in machine learning, computer science, statistics, or a related field Experience with sequential modeling and time

About the Role Together serves a broad portfolio of open-weight models, backed by infrastructure designed to run them quickly and efficiently. The interfaces around those models shape the entire customer experience: how easily a developer can migrate an application, how reliably an agent can use a model, and how a team runs large asynchronous workloads. As Senior Product Manager for Model APIs and Developer Experience, you will own those interfaces. Your scope will extend beyond chat to include the APIs and developer experience for image, video, voice, and passthrough models. You will also own compatibility with the wider developer and agent ecosystem, the voice consumption experience and associated model partnerships, and the evolution of our batch inference product. These areas are connected by a single goal: make Together's models easy to adopt and reliable to build on for developers and autonomous agents. This is a hands-on product role. You will read API specifications, test integrations, inspect code when useful, and build prototypes or demo applications to sharpen your thinking. You will work closely with engineering and research, own the product direction, make thoughtful tradeoffs, ship, and learn from how customers use what we build. Responsibilities Set the product direction and roadmap across chat and multimodal APIs, ecosystem compatibility, voice, and batch inference. Close the API and behavioral gaps that make it harder for customers to move workloads from proprietary model providers to Together. Develop a grounded view of how Together's APIs perform in the developer and agent ecosystem, and turn the most important gaps into clear product priorities. Define an intuitive API and consumption experience for real-time and agentic voice applications. Build productive relationships with voice model partners and align internal and external teams around a strong joint product experience. Reimagine batch inference across the job lifecycle, developer experience