Leader, Optimization Services

The biotechnology sector is revolutionizing our world, influencing everything from the medications we consume to the crops we cultivate, the apparel we wear, and the household essentials we depend on each day. To keep pace with the rapid advancements in science, we require superior technology.Benchling is dedicated to unleashing the potential of biotechnology. The most pioneering biotech firms utilize Benchling’s R&D Cloud to facilitate the creation of groundbreaking products and expedite their journey to market and milestone achievements.Join us in our quest to modernize software for contemporary science.ROLE OVERVIEWBenchling aims to fast-track life sciences research and development. We develop a comprehensive suite of tools that scientists employ daily to address critical global challenges. Our tools must be fine-tuned to enhance scientists' efficiency across a wide range of research, development, and manufacturing processes. This is where our Data Input team plays a crucial role.The Data Input team is responsible for creating platforms and user experiences that empower scientists and lab operators to efficiently gather and manage their data. We design structured tables, forms, and data entry tools that allow scientists to input, transform, and relay their laboratory data seamlessly. Our focus encompasses not only the user experience for scientists in the lab but also the integration capabilities for software developers who utilize our components in their applications. Increasingly, we are integrating AI-driven features that make data entry quicker, more precise, and more insightful.Our team is responsible for components utilized by over 90% of Benchling's customers and plays a pivotal role in initiatives that have a company-wide impact. Currently, we are concentrating on enhancing the fundamental capabilities of the platform that is the backbone for Benchling's most essential applications—investing in foundational re-architecture, performance enhancements, and scalability efforts that will unlock new APIs, AI features, and future product functionalities. This is technically challenging work that requires careful planning and a long-term perspective. This position is perfect for managers who thrive in deep technical environments, have a proven history of guiding teams through extensive refactoring and platform migrations, and take pride in constructing the foundations that lead to significant customer successes.

Biotechnology is transforming the world around us—impacting the medicines we use, the crops we cultivate, the fabrics we wear, and the essential products we depend on daily. To keep pace with the rapid advancements in science, we need cutting-edge technology.At Benchling, our mission is to harness the potential of biotechnology. The most innovative biotech firms leverage Benchling’s R&D Cloud to facilitate the development of revolutionary products, shortening the time to key milestones and market entry.Join us in revolutionizing science through modern software solutions.ROLE OVERVIEWWe are a dedicated team focused on developing AI tools for scientists, including agents that automate repetitive tasks and models that enhance molecular design. Our aim is to democratize AI accessibility, empowering every scientist to utilize these advancements. As a member of our engineering team, you will create product experiences that promote AI adoption among the vast community of scientists using Benchling. You will combine robust technical expertise with a keen product sense, optimizing onboarding processes, creating viral engagement strategies, and guiding scientists in effectively integrating AI into their daily activities. Given that we are at the forefront of scientific AI, both at Benchling and in the broader industry, we will iterate quickly based on customer feedback and adapt our strategies to discover the best pathways for development and market engagement. Our success hinges on our curiosity and commitment to our customers.

At the forefront of biotechnology, Benchling is revolutionizing the way we interact with life sciences—from the medicines we consume to the crops we cultivate, and the materials we utilize daily. As the pace of scientific advancement increases, the need for cutting-edge technology becomes paramount.Benchling’s mission is to unlock the vast potential of biotechnology. Our R&D Cloud is trusted by the most pioneering biotech firms to expedite the development of innovative products, significantly reducing time to market and milestones.Join us in merging modern software solutions with contemporary scientific endeavors.ROLE OVERVIEWAs a Software Engineer on our Developer Enablement team, you will be instrumental in crafting the platform that facilitates our community of scientific applications. Your role transcends traditional coding; you will influence how developers, partners, and researchers engage with Benchling’s offerings, empowering them to develop tools that bolster transformative research. Your contributions will be pivotal in reshaping the scientific landscape and enhancing the integration of third-party solutions across our platform.Our team is engaged in a variety of innovative early- and mid-stage projects, including developer APIs, event delivery systems, AI-driven agents, and new platform infrastructure aimed at fostering a robust ecosystem of scientific applications. This diversity provides our engineers with the flexibility to pursue projects that resonate with their personal interests and professional skills, underlining the role's designation as a “Developer Platform Engineer.”This is a hands-on, high-impact position where your work will be recognized throughout the organization and by scientific users globally. You will collaborate closely with product managers, designers, and fellow engineers, addressing complex challenges while expanding your expertise in platform development and life sciences.

Benchling creates software tools for scientists and biotech companies, supporting research and development across the globe. The platform serves more than 200,000 scientists, including teams at organizations like Sanofi and Moderna, as well as academic research labs. By connecting experiments, structured data, and AI-powered insights, Benchling works to reduce the time it takes for discoveries to reach real-world applications. Role overview This Software Engineer position focuses on integrating advanced scientific AI models into the Benchling platform. The main responsibility is to build a scalable system for hosting and managing scientific models, while also developing frameworks that allow model creators to bring their solutions into the Benchling environment. What you will do Develop and maintain a platform that supports scientific AI models at scale. Create frameworks that make it easier for model developers to contribute to Benchling. Experiment with new technologies to improve model integration and performance. Work closely with internal teams and external partners to deliver solutions. Help shape how scientists design molecules and apply AI in their research workflows. Location This role is based in San Francisco, CA.

As a Strategic Account Executive at Benchling, you will play a pivotal role in driving our growth by building strong relationships with key clients in the life sciences industry. You will leverage your expertise to identify client needs and deliver innovative solutions that enhance their operational efficiency.Your responsibilities will include managing a portfolio of strategic accounts, collaborating with cross-functional teams, and developing tailored strategies to ensure client success and satisfaction.

Role overview The Product Support Analyst at Benchling works as part of the customer success team in San Francisco. The main goal is to help users get the most out of Benchling’s products, making sure they have a positive and productive experience with the platform. What you will do Answer user questions and address technical problems as they arise Assist with onboarding new customers to the Benchling platform Gather user feedback and communicate it to the product team This position helps ensure customers receive timely support and guidance, contributing to a smooth and supported journey as they use Benchling’s tools.

The biotechnology sector is transforming our world, influencing everything from the medicines we utilize to the agricultural advancements we witness. However, to keep pace with the rapid evolution of science, we need cutting-edge technology.At Benchling, our mission is to harness the full potential of biotechnology. The most pioneering biotech firms rely on Benchling’s R&D Cloud to facilitate the creation of groundbreaking products and expedite their journey to market.Join us in revolutionizing modern science through advanced software solutions.ROLE OVERVIEWWe are a dedicated full-stack web application development team committed to crafting powerful and user-friendly tools that enhance various scientific workflows. Our work spans from designing DNA constructs and analyzing protein sequences to conducting gene editing experiments and modeling antibodies. We develop features that empower scientists to effectively plan, implement, and comprehend their research.We are seeking a seasoned manager to lead our Molecular Biology engineering team within the Scientific Modalities group. Ideal candidates will have demonstrated success in prioritizing customer needs and ensuring product excellence while formulating strategic roadmaps and overseeing team execution.

Airtable is the leading no-code app platform that empowers individuals closest to their work to expedite critical business processes. Over 500,000 organizations, including 80% of the Fortune 100, depend on Airtable to revolutionize their workflows.At Airtable, we are dedicated to democratizing software development—enabling anyone to create powerful, adaptable tools without needing to code. Our transition to an AI-native platform allows customers to generate complete applications and seamlessly integrate AI agents into their operations. Data engineering is pivotal in this transformation, providing the insights necessary for our teams to enhance user experiences, gauge agent effectiveness, and assess business performance on a large scale.As a Data Engineer at Airtable, you will play a vital role in our data engineering initiatives. You'll design and manage essential data pipelines that facilitate informed decision-making, collaborate with company leaders to develop scalable data solutions, and implement innovative alerting and visualization systems.

Join Benchling as an Infrastructure Engineering Leader and play a pivotal role in shaping our engineering practices. We are seeking an innovative leader to oversee our infrastructure development, driving efficiency and scalability. This position offers an exciting opportunity to work with cutting-edge technologies and lead a talented team in a dynamic environment.

Join our dynamic team at tvScientific as a Senior Data Engineer. In this role, you will play a pivotal part in shaping our data infrastructure, enhancing our analytics capabilities, and driving data-driven decision-making across the organization. You will collaborate closely with cross-functional teams to implement innovative data solutions that support our strategic objectives.

Join Crusoe as a Senior Data Engineer, where you will play a critical role in enhancing our data infrastructure and analytics capabilities. You will be responsible for designing, developing, and maintaining robust data pipelines to support our cutting-edge applications.As a key member of our engineering team, you will work closely with data scientists and analysts to ensure that data is accessible, accurate, and actionable.

About CartesiaAt Cartesia, our vision is to create the future of artificial intelligence—intelligent systems that are seamlessly integrated into daily life. We aim to overcome current limitations by enabling models to continuously understand and analyze vast streams of audio, video, and text data—ranging from 1 billion text tokens to 1 trillion video tokens—right on your device.Our pioneering team, comprised of PhDs from the Stanford AI Lab, has developed State Space Models (SSMs), a groundbreaking approach to training efficient, large-scale foundation models. With a rich blend of expertise in model innovation and systems engineering, alongside a product-focused engineering team, we are committed to developing and delivering cutting-edge AI models and user experiences.Supported by prominent investors including Index Ventures and Lightspeed Venture Partners, as well as many esteemed advisors and over 90 angel investors from diverse industries, we are at the forefront of AI advancements.About The RoleIn our quest to create truly global AI, we must train our models using datasets that represent the vast diversity of languages and cultures around the world. We are looking for a Research Engineer to take charge of the quality and comprehensiveness of the data that drives our models. As our in-house expert in global data, you will ensure that our models excel across multiple languages, leveraging your keen understanding of linguistic subtleties and your enthusiasm for building inclusive, large-scale datasets.Your ImpactDesign and construct extensive datasets for model training, conducting controlled experiments to evaluate their effect on model performance.Develop assessments for speech models through both manual annotation and automated evaluation metrics.Utilize data generation techniques to enhance model intelligence and reduce biases.Create automated quality control systems to validate and filter the generated data.Collaborate with product teams to ensure optimal support for key languages and markets.What You BringProven experience in developing or working with extensive multilingual datasets.Familiarity with generative models, including speech, text, or multimodal systems.Ability to guide human annotation and evaluation across various languages.Strong analytical skills and a passion for data-driven decision-making.

At Fastly, we empower individuals to forge deeper connections with the things they cherish. Our cutting-edge edge cloud platform enables clients to swiftly, securely, and reliably craft exceptional digital experiences by processing, serving, and safeguarding their applications as close to their end-users as possible — right at the edge of the Internet. This platform is tailored to leverage the modern internet, is highly programmable, and supports agile software development methodologies. Our clientele includes renowned global brands, such as GitHub, Yelp, Paramount, and JetBlue.Join us in our mission to create a more trustworthy Internet.Posting Open Date: March 13th, 2026Anticipated Posting Close Date*: May 30th, 2026*Job posting may close early due to the volume of applicants.Data EngineerAs part of Fastly's Analytics team, you will empower leaders across the organization with actionable data that drives essential business decisions. We are focused on expanding and enhancing our premier internal data platform. In your role as a Data Engineer, you will play a pivotal part in transforming our data infrastructure, optimizing data pipelines on Google Cloud Platform (GCP), scaling the ingestion of complex data sources, and adhering to best practices for performance and reliability. This is your chance to contribute to significant projects within a dynamic, collaborative, and innovative workspace, supporting data scientists, analysts, and business analysts across our organization.

About UsAt Rox, we are dedicated to empowering individuals to achieve their greatest potential. Our innovative platform enhances sales efforts through autonomous revenue agents, allowing sellers to prioritize their expertise in selling. Just as coding agents transformed engineering, revenue agents amplify customer interactions.We are revolutionizing the revenue stack by developing the world’s first revenue operating system, encompassing everything from the application layer to systems of context. At Rox, we envision a future where humans evolve into orchestrators while agents handle the complete customer lifecycle.Our solutions support Global 2000 leaders across sectors such as banking, construction, and AI, partnering with industry giants like Ramp and Cognition.Our success stems from a united belief in our mission and an unwavering commitment to making it a reality.The TeamOur world-class team is the backbone of our innovative approach to redefining business operations.Our team members have:Founded and successfully exited companiesHeld top roles at Google, AWS, Confluent, and New RelicWon gold medals in international mathematics competitionsPublished groundbreaking research papersWe are proud to be backed by leading investors, having raised $50 million from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We meticulously focus on every detail, striving to ensure that each interaction not only helps sellers accomplish their tasks but also enhances their experience. We are relentless in our pursuit of excellence, always exploring new ways to delight our sellers.Obsession: Commit unreasonably.We are dedicated to our craft, responding to customer needs proactively and driving value even before they ask. Our commitment to continuous learning and self-improvement is unwavering.Action: Get it done.Execution is key; we prioritize thoughtful yet swift decision-making and immediate delivery. Trust is essential in our field, and we earn it through our actions.

About Pinterest Pinterest helps millions of people worldwide discover new ideas, try fresh possibilities, and collect inspiration for their lives. The company’s mission is to empower individuals to curate a life they love, starting with a talented and diverse team. Pinterest values innovation and encourages employees to fuel growth for millions. Team members are supported in turning passion into opportunity, and the company celebrates different backgrounds while offering flexibility to help everyone do their best work. AI plays a central role at Pinterest, serving as a partner to boost creativity and impact. The hiring process focuses on both foundational skills and how candidates collaborate with AI. For more on Pinterest’s approach to AI in hiring, see this overview. About tvScientific tvScientific is a leading CTV advertising platform built for performance marketers. The platform uses large-scale data and advanced technology to automate and optimize TV advertising, helping businesses achieve measurable results. Media buying, optimization, measurement, and attribution all work together in a single solution. The team behind tvScientific includes experts in programmatic advertising, digital media, and ad verification, building tools for advertisers focused on business growth. Role Overview: Staff Data Engineer The Staff Data Engineer will lead the design, implementation, and improvement of identity services and the data governance platform at tvScientific. This role is critical for maintaining data integrity, privacy, and governance across the company. The position involves working at the intersection of data engineering, identity resolution, privacy, and platform reliability. As an individual contributor, the Staff Data Engineer will help define and carry out the strategic vision for data engineering within the organization. Location San Francisco, CA, US or Remote, US

Benchling is hiring a Software Engineer focused on Developer Enablement in San Francisco, CA. This position centers on improving the experience for fellow developers and supporting engineering teams with the right tools and frameworks. Role overview This role involves designing and building internal tools that help engineering teams work more efficiently. The aim is to create frameworks that make integration and deployment of Benchling products smoother and more reliable. Collaboration Frequent collaboration with both product and engineering teams is a key part of this position. Working together, you will help ensure that new solutions fit seamlessly into existing workflows and support Benchling’s technical goals. What you will do Develop and maintain tools that improve the developer experience Work closely with other teams to support integration and deployment processes Contribute to frameworks that empower engineering across the company

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future. At SoFi, we are revolutionizing the personal finance experience for our millions of members through innovative mobile technology.As a next-generation financial services company and national bank, we pride ourselves on being at the forefront of an unprecedented transformation in the industry. Our core values guide our efforts every day, driving meaningful changes that impact people's lives. Invest in yourself, your career, and the financial world with us.SoFi is on the lookout for a seasoned and driven Senior Staff Data Engineer to lead our Data Engineering group within the SoFi Data Platform (SDP) division. The SDP's mission is to harness data across SoFi, enabling the development of personalized and engaging experiences for our members.The Role:In this position, you will have the chance to significantly influence and steer the architecture of our next-generation AI-powered SoFi Data Platform (SDP). You will enhance data reliability through AI-driven workflows, tools, and practices. You will be responsible for leading, defining, and tackling complex problems in a fast-paced, collaborative environment. The ideal candidate will be a mentor and technical leader who is hands-on, with a strong sense of ownership and a commitment to delivering results.

About AbridgeFounded in 2018, Abridge is dedicated to enhancing understanding in healthcare. Our innovative AI-driven platform is designed specifically for medical conversations, streamlining clinical documentation and allowing healthcare professionals to concentrate on what truly matters—their patients.Our enterprise-grade technology converts patient-clinician discussions into structured clinical notes in real-time, with robust EMR integrations. Leveraging our unique Linked Evidence and auditable AI, we provide the only solution that aligns AI-generated summaries with factual data, enabling providers to trust and verify outputs efficiently. As trailblazers in generative AI for healthcare, we are establishing industry benchmarks for the ethical integration of AI across health systems.We are a dynamic team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers committed to empowering individuals and making healthcare more intelligible. Our offices are located in San Francisco's Mission District, New York's SoHo neighborhood, and Pittsburgh's East Liberty.The RoleJoin our rapidly expanding US-based Data Engineering team as a Data Engineer and play a pivotal role in revolutionizing the medical field with our generative AI products. In this essential position, you will design and optimize large-scale data infrastructure to inform business strategies and drive machine learning research.What You’ll DoDevelop and sustain scalable data services, pipelines, and storage solutions for the ingestion of unstructured application data for machine learning training and evaluation.Create and oversee OLAP databases, ELTs, and general data tools to support analytics, business decision-making, and product features.Collaborate closely with frontend and backend engineers, product managers, and analysts.Enhance data infrastructure to improve system throughput, latency, and reliability.Identify and resolve issues detected through data operation monitors, tools, and reports.Design data integration solutions and establish a data quality framework.What You’ll Bring5+ years of experience in Data Engineering or Backend Engineering focused on data systems.Proficiency in at least one general-purpose programming language (e.g., Python, Java, Scala) and SQL (any variant).Experience with at least one modern cloud service provider (GCP, AWS, Azure, etc.).

Join baseten as a Data Engineer and be at the forefront of data-driven innovation. In this role, you will design and implement robust data pipelines, ensuring the efficient processing and analysis of data to empower our products and decision-making processes. Collaborate with cross-functional teams to understand their data needs, while striving for optimization and scalability in data architectures.