Profluent Bio

Attorney

• Lead legal strategy and execution for complex transactions, including licensing, joint ventures, and strategic collaborations across therapeutics, diagnostics, agriculture, biocatalysis, and manufacturing
• Serve as a genuine thought partner to BD and executive leadership from the earliest stages of deal structuring, not just at the contract execution phase
• Collaborate with R&D teams to critically refine research plans and SOWs to ensure technical objectives are precise, actionable, and aligned with contractual terms
• Draft, negotiate, and advise on a range of mid-to-complex agreements, including IP licenses, options, evaluations, MSAs, revenue sharing agreements, SRAs, and similar instruments
• Develop generalizable deal principles and strategies in partnership with BD, R&D, and executive leadership, including partnering with alliance management through the contract lifecycle
• Triage and communicate risk in ways that are actionable and grounded in evidence, and translate legal considerations into business strategy, not just legal analysis
• Perform effectively in high-stakes, live negotiation settings, including multi-party sessions with sophisticated counterparties

Vice President, Legal

Engineering Manager

• Lead, mentor, and grow a software engineering team focused on lab informatics systems, scientific data infrastructure, and scientist-facing applications
• Architect and deliver the roadmap for systems that support sample tracking, assay data capture, Benchling integration, lab automation, experimental metadata, and analysis workflows
• Design robust data models for protein engineering and gene editing experiments, including constructs, samples, reagents, cell systems, assay results, metadata, and experimental lineage across mammalian and bacterial workflows
• Partner closely with scientists to translate complex laboratory requirements into scalable software solutions that accelerate Profluent’s design-build-test-learn cycle
• Build and maintain backend systems, APIs, databases, data pipelines, and web applications using technologies such as Python, Django, PostgreSQL, BigQuery, GCP, and modern development workflows
• Establish strong engineering practices across architecture, code review, testing, CI/CD, documentation, and agile delivery

Software Engineering Manager, Lab Informatics Platform

• Lead, mentor, and grow a software engineering team using cloud-native technologies to build scalable data integration pipelines that transform raw protein engineering data into actionable insights for our ML models
• Architect and deliver the technical roadmap for our data platform, using GCP and Python to build scalable pipelines and web-based applications that organize, process, and visualize the output of our protein engineering campaigns
• Drive cross-functional alignment by sitting at the intersection of biology, data science, and machine learning to translate complex experimental requirements into technical solutions that accelerate our protein design cycle

Senior Software Engineering Manager, Lab Data Platform

Machine Learning Engineer

• Build robust, reproducible and user-friendly pipelines for automated model fine-tuning, alignment and evaluation
• Design and implement modular, easy-to-maintain, multi-model pipelines for protein design.
• Develop highly scalable ETL pipelines to process petabyte-scale protein data for model pretraining
• Optimize model training and inference code to maximize throughput and resource utilization when deployed at scale
• Develop software and infrastructure that enable the ML team to work quickly and frictionlessly in distributed and multi-cloud environments
• Partner with ML and protein design scientists to prototype research ideas and bring them into production

Designer

• Design, build, and deploy end-to-end agentic workflows that take protein function specifications and produce ranked candidate sequences for experimental validation
• Integrate protein language models, structure prediction tools, and scoring functions into multi-step pipelines with iteration, feedback loops, and human-in-the-loop checkpoints
• Own the full lifecycle of workflow systems: architecture, implementation, testing, deployment, monitoring, and iteration based on experimental outcomes
• Collaborate with ML scientists to evaluate and integrate new models into workflows, and with protein design scientists and biologists to translate scientific goals into computational specifications and ensure workflows align with experimental realities
• Develop tooling for experiment tracking, logging, reproducibility, and versioning of design campaigns
• Evaluate and benchmark workflow performance against experimental results, using outcomes to improve agent strategies and model selection
• Partner with ML scientists to identify where existing models fall short in agentic contexts and inform priorities for model development, fine-tuning, and evaluation

Protein Design Scientist – Agentic Workflows

Infrastructure Engineer

• Own Profluent’s overall security and compliance posture across company systems, scientific computing, lab automation, endpoints, identity, SaaS, cloud infrastructure, networking, and data-handling workflows, and be accountable for the ongoing maturity of security controls and practices across those environments
• Lead the implementation and operational maturity work required for Profluent to achieve and maintain SOC 2 and related compliance certification requirements, including control operation, evidence collection, monitoring, and repeatable processes
• Serve as the primary owner for security and compliance readiness across company systems, ensuring that Profluent can meet ongoing audit, certification, and customer assurance requirements over time
• Own the translation of customer agreements, internal policies, and compliance requirements into concrete technical and operational controls
• Standardize and harden bioinformatics, lab informatics, and machine learning environments to align with security, reliability, and compliance requirements
• Define and drive adoption of secure baseline configurations, access controls, logging, backup practices, patching standards, and change management processes
• Own and evolve how Profluent approaches security more broadly, identifying gaps, prioritizing risks, and driving improvements beyond minimum compliance scope
• Drive standardization of Windows-based lab automation environments, balancing security, uptime, vendor constraints, and usability in laboratory settings
• Collaborate with stakeholders to document controls, system boundaries, standard operating procedures, and technical evidence needed for audits, certification efforts, and customer reviews
• Support vendor and platform evaluations related to security, observability, endpoint management, and infrastructure operations
• Improve identity, access, and account lifecycle management across company systems, including onboarding, offboarding, least-privilege access, and periodic access review support
• Monitor key systems and respond to operational issues with an emphasis on root-cause analysis and durable remediation
• Maintain asset, system, and environment documentation so that critical processes are auditable, supportable, and repeatable

Vice President, Legal

Software Engineering Manager, Lab Informatics Platform

Senior Software Engineering Manager, Lab Data Platform

Machine Learning Engineer

Protein Design Scientist – Agentic Workflows

Principal Security Engineer, Infrastructure