Staff GenAI Research Scientist - Retrieval

P-1214

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.

Job Description 

As a Staff Research Scientist on the Enterprise Agents team, you will be responsible for keeping up with the latest developments in Agent Context, Information Retrieval, Knowledge Assistants, RAG, Embeddings, and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

The Impact you will have

As a Staff Research Scientist on the AI Research Team at Databricks, You Will: 

• Define and lead independent research agendas on Information Retrieval for reusable Agent components, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches.
• Drive research and technical strategy across enterprise retrieval and search, including workspace search, vector search.
• Drive algorithmic innovations for Retrieval within Large Language Models. 
• Experience with Agent Benchmarks for retrieval, text-embeddings and LLM Data Quality. 

What We Look for

• 5+ years of 
• PhD in Computer Science or related field with strong foundations in Natural Language Processing and Information Retrieval 
• Developing and implementing methods that extend and improve model capabilities, reliability, and safety. 
• Strong preference for candidates with first-author publications at top ML/systems conferences (EMNLP, ICLR, ACL, NeurIPs) focused on optimization or efficiency.

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.

Job Description 

As a Sr. Research Scientist on the Scaling team, you will be responsible for keeping up with the latest developments in deep learning and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

The Impact you will have

As a Sr. Research Scientist on the AI Research Team at Databricks, You Will: 

• Define and lead independent research agendas on foundation model efficiency in model training and reinforcement learning, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches
• Drive algorithmic innovations for large-scale neural network training or inference (e.g., novel optimizers, low-precision techniques, model adaptation methods)
• Optimize ML systems for distributed training, memory efficiency, and compute efficiency through hands-on implementation.

What We Look for

• MS/PhD in Computer Science or related field with strong foundations in machine learning and systems
• Proven ability to write high-quality, efficient code in Python and PyTorch for research implementation and experimentation
• Strong preference for candidates with first-author publications at top ML/systems conferences (ICLR, ICML, NeurIPS, MLSys) focused on optimization or efficiency.

Vast is looking for a Fabrication & Tooling Specialist, Special Projects reporting to the Production Manager, Structures to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations.

This will be a full-time, exempt position located in our Long Beach location. 

Responsibilities: 

• Design, fabricate, and modify tools, fixtures, jigs, and other manufacturing aids to support a variety of special projects across mechanical assembly and structural integration
• Collaborate closely with the Director of Manufacturing and cross-functional engineering teams to understand build requirements and translate them into practical tooling solutions
• Support prototype and R&D builds from early concept through completion, adapting tooling approaches as designs evolve
• Operate manual and CNC machine tools including mills, lathes, grinders, and other shop equipment with a high degree of accuracy and craftsmanship
• Read and interpret engineering drawings, GD&T callouts, CAD models, and technical specifications to produce tooling that meets tight tolerances
• Troubleshoot tooling and fixturing issues on the fly and propose effective, timely solutions
• Maintain, repair, and organize tooling inventory and shop equipment
• Identify opportunities to improve manufacturing processes, tooling efficiency, and build quality
• Work safely and maintain a clean, organized work environment in accordance with company safety standards

Minimum Qualifications:

• Proven experience as a Toolmaker, Machinist, and Welder or similar hands-on fabrication role
• Background in an R&D, prototype, or low-volume production environment, you are comfortable working with incomplete information and evolving requirements
• Strong proficiency with manual and/or CNC machining equipment
• Ability to read and interpret engineering drawings, GD&T, and 3D CAD models
• High mechanical aptitude and a meticulous eye for quality and precision
• Self-starter mentality, able to take on loosely defined tasks and drive them to completion with minimal supervision
• Strong communication skills and ability to work collaboratively across engineering and manufacturing team

Preferred Skills & Experience:

• Experience in aerospace, defense, or other highly regulated industries
• Familiarity with a broad range of materials including aluminum, titanium, stainless steel, and composites
• Exposure to assembly tooling for large-scale or complex structural builds
• Experience with CAM software and/or basic CAD modeling (SolidWorks, CATIA, or similar)
• Understanding of manufacturing quality systems and documentation practice

Additional Requirements:

• Ability to stand, kneel, and bend for extended periods in a manufacturing environment
• Ability to lift up to 50 lbs unassisted
• Comfortable working in and around large-scale hardware and manufacturing equipment

Pay Range: 

• Tooling and Fixture Specialist I: $38 - $54
• Tooling and Fixture Specialist II: $42 - $59

The role

We’re hiring a Product Manager to own strategy and execution across a core area of the Opto platform.

Today, our product does not yet match the ambition of what we’re building. Workflows are fragmented, onboarding is not self-serve, and teams too often default to shipping features instead of solving problems. This role exists to change that.

You will own a major surface area end-to-end: the strategy, the priorities, the execution, and the outcomes. You will work closely with design and engineering to shape what we build, not just define requirements and hand them off.

You will be expected to make hard tradeoffs and stand behind them, even when there is pressure to do otherwise. You are accountable for clarity, direction, and results.

This is a high-ownership role. You will operate with real autonomy, set direction, and be responsible for driving measurable impact on user behavior and business outcomes.

What you’ll do

• Own the strategy for your surface area and the outcomes that ladders up to it. Know where you're going, not just what you're building next.
• Translate company-level goals into concrete product outcomes and measurable progress tied to adoption, assets on platform, revenue, or retention.
• Partner closely with sales and GTM to ensure what we build reaches users and drives business impact. Product and go-to-market are not separate tracks.
• Work alongside design and engineering to shape solutions. You are in the room when decisions get made, not writing specs from the outside.
• Structure work around clear opportunities, hypotheses, and bets. Continuously refine them as you learn.
• Decompose complex, ambiguous problems into clear decisions and forward motion. Bring structure that makes the mess navigable.
• Drive prioritization with rigor. “A customer asked for this” is not a strategy. You can distinguish patterns from one-offs and articulate why something matters more than the alternative.
• Push for simplicity and coherence. Build end-to-end workflows, not disconnected features.
• Elevate design as a core part of how the product gets made, not a downstream step.
• Drive progress in the face of ambiguity, competing priorities, and imperfect alignment. You do not wait for ideal conditions to move things forward.
• Use qualitative and quantitative insights to inform decisions. Be rigorous about how you gather signal. Methodology matters as much as the data.
• Communicate clearly and consistently with stakeholders, building alignment without losing speed.
• Hold a high bar for what ships: quality, usability, and real impact on users and the business.
  
  

What success looks like

• You have identified the highest-leverage problems in your area, and the team is focused on them rather than scattered across low-impact work.
• Users complete key workflows with less friction, fewer workarounds, and more confidence than before.
• Product decisions are driven by evidence and clear reasoning, not opinion or inertia.
• You have killed or significantly simplified something that should not exist. The product is lighter, not just bigger.
• You can point to measurable improvements in adoption, engagement, assets on platform, or revenue tied to what you shipped.
• You consistently make good decisions under uncertainty and are trusted to do so by design, engineering, and leadership.
  
  

Required Skills 

• A track record of driving measurable outcomes, not just delivering features.
• Structured thinking in ambiguity. You break down ill-defined problems into clear opportunities, decisions, and bets.
• Strong prioritization judgment. You can say no with conviction and redirect work toward what matters most.
• Design sensibility. You care deeply about how the product feels and works. You treat design as a partner and raise the bar on what ships.
• Strong discovery instincts. You think carefully about how to gather user insight and avoid biased or low-signal inputs.
• Ability to drive execution through complexity. You move things forward across teams, even when conditions are messy.
• Clear communication. You can align a room, articulate decisions, and write with precision.
• High agency. You take ownership, push things forward, and do not wait for perfect information or permission.
  
  

AI experience

• Experience building AI-native products where AI is core to the user experience, not bolted on.
• Strong understanding of how to design for trust, transparency, and appropriate user control in AI systems.
• Deep integration of AI into your own workflow across research, synthesis, writing, and prioritization.
• A clear point of view on how AI is changing the role of product management and how you are adapting to it.
  
  

Qualifications

• 0-1 product experience. You’ve built a product or major product area from scratch. You can articulate what you shipped first, what you cut, how you sequenced bets, and how you learned.
• Experience contributing to or reaching product-market fit. You understand how to search for signal, iterate quickly, and avoid overbuilding before the problem is clear.
• Experience owning product strategy and execution for a meaningful surface area. You can point to what changed because of your work.
• Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Bonus

• Fintech or private markets experience.
• Founder or early-stage experience.
  
  

Why Opto

• A real product problem to solve.This is not incremental optimization. You'll be shaping how complex, high-stakes workflows should work from first principles.
• High-leverage domain. Private markets are large, growing, and structurally underserved by software.
• Direct access to users. We have distribution and relationships with the people we’re building for.
• Real AI surface area. Private markets workflows are complex, data-heavy, and still largely manual. That's a genuine opportunity to build AI into the product in ways that matter not as a feature, but as a structural change in how the work gets done.

How to Apply

Please fill out the below fields, and attach a Resume and Cover Letter. Why a Cover Letter? We receive a high volume of applicants, and we have real humans that read each and every resume, we encourage you to use creativity in your Cover Letter and speak directly to why you want to join our team! 

We will review your resume in as timely a manner as we are able to, so kindly refrain from reaching out to hiring managers or other Opto team members via email or linkedin, as this won't improve or fast track your application. 

Compensation and Benefits

Opto has a high bar for talent, and we are committed to building the best teams possible. Candidates are never subjected to discrimination based on race, citizenship, religion, ethnicity, gender or gender identity, sex, pregnancy, national origin, age, sensory, mental, or physical disability, or any other characteristic.

The successful candidate for this role can expect a generous compensation and benefits package. The cash salary range for this role is $235,000-$280,000 dependent on skills, experience and expected contribution. 

All full time employees at Opto enjoy:

• Significant equity
• Health, dental, and vision insurance
• Unlimited PTO
• Retirement savings plan (401k)
• Learning, Fitness and Commuter stipends
• Paid Holidays

This position is based primarily onsite in either our San Francisco or New York City offices. 

ABOUT THE TEAM

We are building the future of situational awareness. Our Sentry platform integrates robotics, autonomy, hardware, and software to deliver mission-critical capabilities in defense and security, with an expanding footprint into commercial markets. With a rapidly growing fleet and new product variants in development, we partner across engineering, manufacturing, supply chain, operations, business development, and more to deliver cutting-edge systems at scale.

ABOUT THE JOB

As the Analytics Engineer for Sentry, you will be at the forefront of transforming raw data into strategic advantages for our business line. This is a hands-on, builder-operator role for a highly technical and strategic individual who thrives on untangling complex, ambiguous problems. You will design, implement, and maintain robust data systems, enabling our teams to make more informed decisions. This role requires a deep understanding of data engineering principles, a strong analytical mindset, and the ability to effectively bridge the gap between technical capabilities and business needs. You will be instrumental in developing data products and tooling that directly impact our operational efficiency, product development, and overall business strategy.

WHAT YOU'LL DO

• Build and maintain data pipelines and analytical systems: Design data workflows that ingest, transform, and model data from diverse sources (deployment systems, inventory databases, monitoring tools, business systems), ensuring data quality and accessibility
• Develop dashboards and analytics that shape decision-making: Create data products ranging from ad hoc analyses for rapid iteration to scalable dashboards and trackers that provide visibility into deployment tracking, inventory status, component lifecycle, fleet performance, and system reliability
• Own the full product lifecycle: Act as PM, designer, and builder for analytics tools—defining requirements, designing user experiences, building technical solutions, and iterating based on user feedback
• Collaborate to bridge technical and operational needs: Partner closely with cross-functional teams to understand their data challenges and translate them into effective data solutions, working within systems like ERP, MRP, and other operational platforms
• Drive operational efficiency through data analysis: Perform quantitative analyses including deployment data validation, inventory reconciliation, trend analysis, variance investigation, and root-cause analysis to identify bottlenecks and optimize processes
• Enhance Sentry fleet management and sustainment: Utilize data to understand fleet performance in the field, optimize deployment strategies, and improve the efficiency of sustainment operations for the growing Sentry fleet
• Iterate based on feedback and evolving requirements: Continuously improve data products by incorporating stakeholder feedback and adapting to changing operational needs as Sentry scales
• Document and champion data quality: Ensure data definitions, business logic, and methodologies are well-documented and understood across teams, promoting data literacy and self-service capabilities

REQUIRED QUALIFICATIONS

• 5+ years of professional experience in an analytics-focused role (Analytics Engineer, Data Engineer, Data Analyst, or similar)
• Degree in a quantitative or analytical field (Statistics, Engineering, Data Science, Math, Operations Research, Computer Science) or equivalent practical experience
• You're technical—you are data-driven, understand systems, and can write SQL and Python (or similar analytical languages) to manipulate and analyze data.
• You're a builder—you take ownership end-to-end, from defining the problem to designing the solution to building and deploying it
• You're clear—you communicate effectively in both technical and non-technical contexts, translating business problems into data solutions
• You have a strong bias for action and a preference for designing better solutions rather than patching around existing problems
• You thrive on untangling complex, messy problems and are energized by creating order from chaos in a rapidly evolving operational environment
• Ability to work cross-functionally with engineering, product, supply chain, and operations teams to drive outcomes
• Must be authorized to work in the United States

PREFERRED QUALIFICATIONS

• Experience building business-facing dashboards and visualizations using tools such as Palantir Foundry, Tableau, Looker, Power BI, Streamlit, or similar
• You can build full-stack solutions, including frontend development with React or similar frameworks when needed
• Familiarity with data pipeline concepts, ETL processes, or data engineering principles
• Experience working within business systems (ERP, MRP, MES, inventory management platforms) or supply chain analytics
• Background in hardware product lifecycle operations, manufacturing environments, or complex hardware/software systems
• Experience with monitoring and alerting tools (DataDog, Grafana, or similar)
• Knowledge of reliability engineering metrics (MTBF, failure analysis, deployment tracking) or fleet management concepts
• Background working in fast-paced environments without a playbook, particularly in hyper-growth or startup settings
• Experience in defense, aerospace, robotics, autonomy, or mission-critical technology environments

About the Team

The Counter Intrusion MSE team develops systems that provide force protection capabilities, monitoring the perimeter of secure areas, land or sea, for approaching people, vehicles, and vessels. We live in a world where security officers are increasingly overwhelmed by sensor data feeds. Our products leverage advanced sensor fusion and autonomy to seamlessly render activity in the environment to Lattice's common operating picture. This relieves operators of our system from a ton of burden and allows our customers to get more done with fewer personnel. Increasingly, Counter Intrusion MLEs are working on projects to bring customers' existing legacy security systems into the Lattice ecosystem. Key to this effort is building scalable software solutions so that we can service many customers without requiring bespoke software for each one. The Counter Intrusion team is responsible for the development, testing, deployment, and sustainment of our family of systems. We work closely with other teams from product, engineering, sales, logistics, operations, and mission success.

About the Role

We are looking for a Machine Learning Engineer to apply the latest research to solve our toughest problems. This role will be responsible for owning the whole machine learning stack for the Counter Intrusion team. You will design and train multi-sensor object detection models for perception on edge compute devices that push the boundaries of what's possible with our sensors. You will develop learning algorithms to optimize the behavior of autonomous systems. You will also be responsible for the end-to-end design, implementation, and performance of the ML stack, including the infrastructure for data collection and training. Your work will directly impact Anduril's ability to deliver cutting-edge defense technology, with the opportunity to identify and develop novel ML applications across our product portfolio.

Responsibilities

• Propose and prototype innovative solutions to solve real-world problems, leveraging the latest state-of-the-art techniques in the field
• Develop and maintain core ML pipelines
• Train and deploy deep learning models for real-time applications
• Collaborate cross-functionally with camera, systems and labeling teams
• Curate datasets for evaluating performance and comparing performance trends over time
• Provide technical mentorship to other junior ML engineers

Required Qualifications

• MS or PhD in Machine Learning, Robotics or Computer Science, with emphasis on Computer Vision
• BS in Computer Science, Machine Learning, Electrical Engineering, or related field
• 6+ years of experience developing, benchmarking and optimizing ML algorithms on large-scale datasets
• Strong Deep Learning and CV background
• Proficiency in C++ development in a Linux environment
• Experience with Python development and deep learning frameworks such as PyTorch, JAX and TensorFlow
• Experience deploying models with TensorRT and ONNX
• Optimize on-device inference and vision kernels across CPU/GPU/NPU
• Track record of developing and deploying CV models from R&D to production
• Experience writing and maintaining automated continuous integration tests
• Knowledge of system profiling and tuning for latency, memory and power efficiency
• Ability to conduct experiments, ablation studies and create highly detailed reports
• Eligible to obtain and maintain a U.S. Secret security clearance

Preferred Qualifications

• Experience in one or more of the following:
• Object Detection, Object Tracking, Instance Segmentation, Semantic Segmentation, Semantic Change Detection, Depth Estimation, Model Pruning and Compression
• Experience in one or more of the following:
• Visual Odometry, SLAM, Multi-view Geometry, Camera Models, RGB-D and LIDAR Sensor Fusion, Optical Flow
• Experience troubleshooting and analyzing remotely deployed software systems
• 1 year of experience in a technical leadership role

About Atomic Machines

Atomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler™ technology. This full-stack technology enables new classes of micromachines to be designed and built by offering manufacturing processes and a materials library that is inaccessible to semiconductor manufacturing methods. It promises to unlock MEMS manufacturing for the many device classes frustrated by semiconductor methods and to open up entirely new product classes. The Matter Compiler™ technology fully realizes the digital manufacturing dream: bits and raw materials go in, and complete, functional micromachines come out. The Atomic Machines team has also created an exciting first device—one that was only made possible by the existence of the Matter Compiler™ technology—that we will be unveiling to the world soon.

Our offices are in Emeryville and Santa Clara, California.

About The Role

As a Software Applications Engineer, Robotic Systems, you will build the distributed software systems that control the Matter Compiler. These systems coordinate real hardware - sensors, actuators, and manufacturing processes - under real-time and reliability constraints.

You will work across layers of the stack, from low-level device interaction to higher-level APIs that define machine behavior. In one sprint, you might debug a timing issue between devices; in another, you may implement an interface that enables coordination across a fleet of machines.

This role is well-suited for engineers with strong fundamentals, hands-on curiosity, and a desire to grow into systems-level thinking through exposure to real-world, hardware-driven systems. This role is based in either our Santa Clara or Emeryville offices.

What You’ll Do

• Write, test, and debug software that directly interfaces with robotics and manufacturing systems
• Build and operate distributed systems that coordinate state, timing, and behavior across multiple devices
• Investigate and resolve issues spanning software, firmware, and physical systems
• Contribute to system reliability through logging, observability, and fault handling
• Work across the stack—from device-level interaction to networked APIs
• Collaborate closely with mechanical, electrical, and process engineers to define system behavior

What You’ll Need

• 2+ years of experience (including internships, research, robotics projects, or relevant industry work)
• Bachelor’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or a related field
• Strong proficiency in Python for building and debugging production systems (our stack primarily includes Python, C++, and Go)
• Experience with at least one systems or strongly typed language such as C++, Rust, or Go
• Solid understanding of core computer science fundamentals (data structures, concurrency, systems basics)
• Experience building or debugging systems that interact with hardware or other external systems

What Makes You Stand Out

• Experience working with robotics, embedded systems, or hardware-adjacent software
• Familiarity with real-time systems or resource-constrained environments
• Experience debugging complex issues across multiple layers (software, firmware, hardware)
• Exposure to distributed systems or networked device coordination
• Interest in how physical systems behave under real-world constraints (latency, noise, failure, safety)
• Experience with observability, testing, or infrastructure tools

• Develop and drive a proactive, multi-state strategy across priority states, aligned with enterprise priorities, portfolio objectives, and commercial planning
• Identify, assess, and influence state legislation, regulations, and executive actions impacting pricing, reimbursement, Medicaid, PBM reform, 340B, newborn screening, rare disease access, and innovation policy
• Anticipate state political, legislative, and regulatory trends, translating complex developments into clear business risks, opportunities, and recommended actions for executive leadership 
• Lead coordinated advocacy campaigns in priority states, integrating direct lobbying, state trade association engagement, and coalition strategy to shape outcomes before they materially affect the business 
• Maintain disciplined oversight of all state lobbying and political compliance processes, ensuring all activity meets reporting requirements and that advocacy activities adhere to applicable state ethics and disclosure laws 

• Leverage established relationships and strategically build BridgeBio’s engagement with governors’ offices, state legislators and regulators, Medicaid and insurance leaders, and key staff to advance the company’s state policy priorities 
• Represent BridgeBio in state coalitions, and industry forums, serving as a credible and persuasive voice for the company’s positions 
• Lead engagement within state trade associations and coalitions, consultants, driving aligned action on priority issues while protecting BridgeBio’s independent strategy 

• This role is responsible for executing and advancing BridgeBio’s enterprise policy positions at the state level, in close coordination with the Head of Public Policy and Federal Government Affairs.
• Partner with key internal stakeholders including Commercial, Market Access and Patient Advocacy to integrate state policy strategy into coverage, reimbursement, and patient access planning, ensuring advocacy efforts directly support portfolio objectives and patient access across priority states 
• Advise executive leadership and cross-functional teams on state-level legislative and regulatory developments, translating state political dynamics into clear implications for pricing, reimbursement, Medicaid coverage, and patient access strategy 

• 10+ years of relevant experience in state government affairs, public policy, legislative advocacy, or state government 
• Strong knowledge of state health policy, reimbursement frameworks, Medicaid programs, and regulatory environments impacting the biopharmaceutical ecosystem 
• Established relationships with state legislators, governors’ offices, regulatory agencies, and other key state decision-makers 
• Demonstrated ability to interpret complex state legislative and regulatory proposals, assess commercial implications, and translate them into actionable recommendations for executive leadership 
• Proven ability to manage multiple priorities across diverse political environments while remaining highly organized, self-directed, and disciplined in execution 
• Demonstrated excellent written and verbal communication skills, with the ability to represent the company credibly with policymakers and clearly communicate complex policy issues to internal stakeholders 
• Ability and willingness to operate across multiple states, with regional travel as required 

Rewarding Those Who Make the Mission Possible

We have high expectations for our team members. We make sure those working hard for patients are rewarded and cared for in return. 

Financial Benefits:

• Market leading compensation 
• 401K with 100% employer match on first 3% & 50% on the next 2%
• Employee stock purchase program
• Pre-tax commuter benefits
• Referral program with $2,500 award for hired referrals

Health & Wellbeing:

• Comprehensive health care with 100% premiums covered - no cost to you and dependents
• Mental health support via Spring Health (6 therapy sessions & 6 coaching sessions)
• Hybrid work model - employees have the autonomy in where and how they do their work 
• Unlimited flexible paid time off - take the time that you need
• Paid parental leave - 4 months for birthing parents & 2 months for non-birthing parents
• Flex spending accounts & company-provided group term life & disability 
• Subsidized lunch via Forkable on days worked from our office

Skill Development & Career Paths:

• People are part of our growth and success story - from discovery to active drug trials and FDA pipelines, there are endless opportunities for skill development and internal mobility
• We provide career pathing through regular feedback, continuous education and professional development programs via LinkedIn Learning, LifeLabs, Spring Health & BetterUp Coaching
• We celebrate strong performance with financial rewards, peer-to-peer recognition, and growth opportunities

The opportunity

Flexport operates at the intersection of global trade, technology, and policy — which means the stories we tell matter. We're looking for a Senior Manager, Communications & Content to drive forward how Flexport shows up in the world: in the press, on our blog, across social channels, in customer inboxes, and inside the company.

This is a high-visibility, high-trust role. You'll work directly with our CEO & Founder and members of the leadership team to shape Flexport's narrative and ensure we're part of the conversations that matter — from supply chain disruptions and trade policy shifts to AI innovation and the future of logistics. You'll also be the person who makes sure our customers and employees hear from us clearly, consistently, and at the right moments.

This role requires someone who can toggle between crafting a pitch to a Tier 1 reporter, writing a customer email about a service change, coaching an executive before a live interview, and developing a content calendar that ties Flexport's story to the biggest themes in global commerce — all in the same week.

You will

Public Relations & Media

• Support Flexport's PR strategy end-to-end: proactive media pitching, inbound media management, press releases, and rapid response.
• Build and deepen relationships with key reporters and outlets covering logistics, trade, technology, and business.
• Develop and execute a thought leadership program that positions Flexport's CEO & Founder and other senior leaders as go-to voices on global trade, supply chain innovation, and AI in logistics.
• Staff and prep spokespeople for interviews, panels, and media appearances — including media training, message development, and briefing documents.
• Monitor the news cycle for opportunities to insert Flexport into breaking stories and larger industry narratives.

Content Strategy

• Shape Flexport's content strategy and content development across blog, social media, website, webinars, and other owned channels.
• Define and evolve Flexport's narrative — how we talk about ourselves, how we connect our platform and products to the macro stories reshaping global trade, and how we differentiate from legacy freight forwarders.
• Build an editorial engine that produces high-quality, consistent content that serves demand generation, brand awareness, and customer education goals.
• Partner with Product Marketing and Growth Marketing to ensure content supports campaigns, product launches, and pipeline objectives.

Customer Communications

• Own the voice and cadence of how Flexport communicates with customers outside of product and transactional workflows — service updates, policy changes, product announcements, and other moments that require clear, trustworthy messaging.
• Develop frameworks and templates that ensure customer-facing communications are timely, accurate, and on-brand, especially during high-stakes moments like trade policy shifts or service disruptions.
• Partner with Customer Success, Operations, and Product teams to coordinate messaging and ensure alignment across touch points.

AI & Efficiency

• Leverage AI tools across the communications function — from drafting and editing content, to media monitoring and research, to automating repetitive workflows — so a lean team can operate with the output and speed of a much larger one.
• Stay current on how AI is changing PR, content, and communications, and bring new tools and approaches into the team's daily work.

You should have

• 7+ years of experience spanning PR, communications, and content. A mix of agency and in-house experience is ideal.
• Proven media relationships and a track record of landing meaningful coverage in top-tier business, trade, and technology outlets. You know how to pitch, and reporters know your name.
• Experience as a communications partner to senior executives — you've prepped leaders for interviews, developed thought leadership platforms, and know how to translate a leader's vision into a public narrative.
• Strong editorial instincts and the ability to build a content program from strategy through execution. You can write, and you can also build systems that scale content without sacrificing quality.
• Experience owning customer communications in a B2B environment, particularly during complex or sensitive moments like service changes, pricing updates, or industry disruptions.
• The ability to move fast, manage multiple workstreams at once, and exercise excellent judgment about what to say, when to say it, and how.
• Familiarity with the logistics, supply chain, or trade industry is a strong plus — but a fast learner with deep B2B or tech experience can thrive here too.
• You actively use AI tools to drive efficiencies across content production, media monitoring, research, and workflow automation. This isn't a nice-to-have — we want someone who is already using AI to make a small team move like a big one.

As the Workplace Experience Manager for Everlaw’s Oakland headquarters, you will be the primary architect of our office environment, ensuring it remains a vibrant, inclusive, and high-functioning space for our team. You will lead day-to-day workplace operations for our Oakland office, managing everything from vendor relationships and ongoing workplace experience programming to large-scale internal events that foster engagement and belonging. This role requires a unique blend of operational excellence, hospitality-driven leadership, event planning expertise, and a passion for building a culture where every Everlawyer can do their best work.

You will sit within the People Team and collaborate closely with IT, Finance, Facilities and People Programs to ensure our workplace programs seamlessly support our hybrid work model and company growth.

At Everlaw, our mission is to promote justice by illuminating the truth. Our company culture is open and vibrant, and we’re committed to the professional growth of our team members, offering an annual learning and development stipend and regular check-ins with managers regarding career goals. If you’re looking for a place that values passion, integrity, thinking big, and a desire to learn, we’d love to hear from you! Think you’re missing some of the skills and are hesitant to apply? We do not believe in the ‘perfect’ candidate and encourage you to apply if you feel you can bring value to our team. Learn more about Life at Everlaw.

This is a full-time, exempt position that will require being in-office Monday through Friday in our Oakland, CA headquarters.

Getting started

• We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals.
• We’re excited for you to learn, grow, and contribute right away! We trust that you’ll bring experience and knowledge that will uplift and uplevel the team, but we don’t expect you to know everything on Day 1.

In your role, you'll...

• Manage the day-to-day operations of our Oakland headquarters to ensure a high-quality, inclusive, and productive environment for all employees and visitors.
  • Partner with our Facilities team on office design and operations to deliver a seamless, inclusive workplace experience that reflects employee needs, including thoughtful workspace layout, meeting spaces, and accessible, welcoming environments that address employee inclusion needs.
  • Partner with our Food & Beverage team to understand employee needs and preferences, shaping inclusive food programs and creative, culture-building initiatives (think Ramen day or MasterChef challenges) that enhance engagement and the overall workplace experience.
• Lead the planning and execution of internal org-wide Workplace events that foster inclusion and engagement, working in partnership with the satellite offices and the Facilities and Culinary teams. Events include things like our annual summer picnic, holiday party and ERG programming support. 
• Manage the workplace budget for the Oakland office, tracking expenses and identifying opportunities for operational improvements or cost savings.
• Identify employee needs and serve as the voice of the employee by using qualitative and quantitative feedback to define, evolve, and execute our Workplace Experience strategy, including survey analysis and documenting and escalating feedback across stakeholders.

About you

• You have at least 5 years of experience in workplace operations, facilities management, or corporate hospitality, preferably within a high-growth tech environment.
• You have experience managing vendor relationships and negotiating contracts to ensure high-quality service delivery.
• You have a proven track record of event planning and deep passion for executing creative, inclusive events that build community and foster a sense of belonging.
• You are an exceptional communicator who can build strong relationships with stakeholders at all levels of the organization.
• You are a proactive problem-solver with a "no task is too small" mentality and the ability to manage multiple competing priorities simultaneously.
• You are detail-oriented and organized, with experience managing budgets and operational workflows.
• You are authorized to work in the United States without restrictions. Please note that at this time, Everlaw is not sponsoring employment visas for this role.

Benefits

• The expected salary range for this role is between $142,000 - $165,000. The final offered salary will be dependent upon many factors including the candidate’s experience and skills. The role's compensation is subject to change in the future.
• Equity program
• 401(k) retirement plan with company matching
• Health, dental, and vision
• Flexible Spending Accounts for health and dependent care expenses
• Paid parental leave and approximately 10 days (80 hours) per year of sick leave
• Seventeen paid vacation days plus 11 federal holidays
• Membership to Modern Health to help employees prioritize mental health and wellness
• Annual allocation for Learning & Development opportunities and applicable professional membership dues
• Company-sponsored life and disability insurance
• Find out more about our Benefits and Perks

Perks

• Work in Uptown Oakland, just steps from the BART line and walking distance to Lake Merritt
• Monthly home internet reimbursement
• Select your preference of hardware (Mac or PC) and customize your desk setup
• Lunch provided in-office daily in addition to a wide variety of snacks and beverages in the office
• Allocated funds for departmental team building activities and company-wide out-of-the-box events 
• Time off for company-sponsored volunteer events and 4 paid hours per quarter to volunteer at a charitable organization of your choice
• Take advantage of learning and career development opportunities 
• Ranked #9 on Glassdoor's Best Places to Work 2023 for US small and medium companies
• One of Wealthfront’s 2021 Career Launching Companies, and ranked #2 on the “2022 Bay Area Best Places to Work” list by the San Francisco Business Times and the Silicon Valley Business Journal
• One of Fast Company’s World's Most Innovative Companies for 2022 and proud contributor of free ediscovery resources to benefit the greater good through “Everlaw for Good”
• #LI-KV1
• #LI-Hybrid

What We're Looking For

As we continue to expand our footprint, we are looking for a sharp, agile, and business-minded lawyer to join our lean legal team. You will be the primary engine behind our commercial contracting process. This is not a "siloed" role; you will be the cross-functional glue between Finance, Engineering, Sales, and Security, ensuring our legal strategy moves at the speed of our innovation. 

This is an ideal opportunity for a high-performing lawyer with a strong grasp of transactional fundamentals who is ready to "level up." While your primary focus will be owning the commercial contract lifecycle, you will have a front-row seat to the broader legal challenges of a hyper-growth AI company.

You will be joining the Legal Team and report to our VP of Legal. This is a hybrid role based in our San Francisco or New York office with an in-office requirement of 2 days per week.

What You’ll Do

• Lead the drafting and negotiation of a wide variety of contracts, including Master Service Agreements (MSAs), NDAs, Data Processing Addenda (DPAs), and vendor agreements.
• Serve as the legal point of contact for CX, Sales, Engineering, and Finance teams to streamline deal cycles and mitigate risk.
• Navigate complex technology transactions, specifically focusing on intellectual property rights and data privacy frameworks in the context of AI and cloud computing.
• Beyond commercial matters, you will assist the VP of Legal on special projects, potentially spanning corporate governance, employment, and regulatory compliance as the company scales.

What You’ll Need

• 3–5 years of legal practice, with a focus on commercial or corporate transactions.
• A proven track record at a top-tier law firm, in-house at a high-growth tech company, or a strategic mix of both.
• A deep understanding of technology transactions, including the nuances of IP licensing and data privacy provisions.
• You are a confident negotiator who knows when to hold the line and when to find a creative solution to get the deal done.

Compensation

What We’re Looking For

We are looking for a Senior Finance Associate to drive priorities across strategic finance, corporate development, and FP&A as Lightning AI scales. You will partner with cross-functional stakeholders to shape unit economics, advise on deal pricing, and guide investment decisions. You will support GPU financing, fundraising, and investor relations to help Lightning AI acquire and allocate capital effectively. You will also build an operating cadence for P&L management, reporting, forecasting, and planning, turning data into decision-ready insights for leadership. 

The finance scope is deep, leadership visibility is high, and the work directly influences revenue growth, margin expansion, and capital allocation. If you want meaningful ownership, steep learning, and proximity to the decisions that shape an AI cloud, this role is for you.

This is a hybrid role based in our San Francisco or New York office with an in-office requirement of 2 days per week.

What You’ll Do

• Support deal reviews with Sales and leadership and recommend pricing decisions
• Partner with Marketing on spend allocation, pipeline efficiency, and unit economics analyses (LTV/CAC, payback period)
• Partner with Product on ROI for software investments and strategic initiatives
• Partner with Infrastructure Operations on capacity planning and CapEx assessment
• Model GPU financing structures and assess returns
• Support lender and investor communications, materials, and data rooms
• Monitor industry trends and the competitive landscape to identify potential business risks and opportunities
• Contribute to M&A sourcing and diligence models
• Build and maintain a driver based model for P&L, balance sheet, and cash flow statement
• Prepare executive-level business reviews for leadership and board
• Lead monthly and quarterly reporting, ensuring accuracy and highlighting key business drivers
• Develop forecast cycles and strengthen forecast accuracy by partnering closely with cross-functional stakeholders
• Support annual planning and long-range planning 
• Conduct rigorous analysis of key performance indicators, operational metrics, and business trends
• Manage FP&A systems and tooling and maintain data accuracy

What You’ll Need

• Bachelor's degree in Business Administration, Finance, Economics, or a related field
• 4+ years in Strategic Finance, FP&A, investment banking, private equity, or venture capital, ideally with a focus on software, AI, and/or cloud infrastructure
• Advanced proficiency in Excel and Google Sheets and experience building complex financial models
• Excellent written and verbal communication
• Track record of cross-functional partnership
• Analytical and strong problem-solving ability
• Team player with a growth mindset, positive attitude, and strong work ethic
• Bias to action and desire to work in a startup environment
• Experience with capital markets, M&A, or CapEx financing
• Exposure to cloud or AI infrastructure economics and data center capacity planning
• Familiarity with FP&A systems and data tooling (e.g., NetSuite)

Compensation

What We're Looking For

As a Machine Learning Solutions Engineer, you will operate at the intersection of machine learning, distributed systems, and cloud infrastructure.
You will partner with customers to design and deploy end-to-end AI systems, spanning:

• Model development and training
• GPU infrastructure and cluster design
• Distributed inference and production deployment

This role goes beyond traditional ML solutions engineering—you will act as a technical architect, helping customers make critical decisions across compute, orchestration, and system design.

The role can be based out of our New York City or San Francisco office, with an in-office requirement of at least 2-3 days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this role at this time. The annual base pay range for this role is $150,000 - $195,000, in addition to a variable pay component and meaningful equity. 

What You’ll Do

Customer Architecture & Technical Leadership

• Partner with customers to understand ML workloads, infrastructure constraints, and scaling requirements
  
  
• Architect end-to-end solutions across:
  
  
• Data pipelines (CPU → GPU workflows)
  
  
• Distributed training (multi-node, multi-GPU)
  
  
• High-throughput inference systems
  
  
• Translate business goals (latency, cost, throughput) into technical system design decisions
  
  

GPU & Infrastructure Design

• Design and optimize workloads across GPU clusters (H100, H200, B200, etc.)
  
  
• Advise on:
  
  
• Training vs inference cluster design
  
  
• Interconnect choices (Ethernet vs Infiniband / RDMA vs Roce)
  
  
• Storage strategies (local NVMe vs networked / object storage)
  
  
• Model and optimize for:
  
  
• Tokens/sec, tokens/$
  
  
• Throughput vs latency tradeoffs
  
  
• GPU utilization and scheduling efficiency
  
  

Kubernetes & Platform Systems

• Design and support deployments on Kubernetes (EKS, GKE, on-prem clusters)
  
  
• Work with:
  
  
• GPU scheduling (time-slicing, MIG, bin-packing)
  
  
• Autoscaling and workload orchestration
  
  
• Helm-based deployments and multi-tenant environments
  
  
• Help customers balance:
  
  
• Raw Kubernetes flexibility vs platform abstraction (Lightning)
  
  

Demos, POCs, and Execution

• Build and deliver technical demos and POCs that showcase:
  
  
• Distributed training workflows
  
  
• Scalable inference endpoints
  
  
• End-to-end ML pipelines on Lightning AI
  
  
• Scope and lead POCs aligned to customer success metrics (latency, cost, reliability)
  
  

Cross-Functional Impact

• Act as the bridge between customers, product, and engineering
  
  
• Provide feedback on:
  
  
• Platform gaps in infrastructure, orchestration, and performance
  
  
• Emerging patterns in GPU usage and distributed systems
  
  
• Influence roadmap across ML workflows and infrastructure capabilities
  
  

Enablement & Thought Leadership

• Create technical content
• Architecture guides (e.g., high-throughput LLM inference systems)
• Best practices for GPU utilization and scaling
• Educate customers on modern AI infrastructure patterns

What You’ll Need

ML + Systems Expertise

• 3–6+ years experience in:
  
  
• Machine Learning / AI Engineering
  
  
• Solutions Engineering / Sales Engineering / ML Consulting
  
  
• Strong understanding of:
  
  
• Training vs inference workloads
  
  
• Model optimization (quantization, batching, caching, etc.)
  
  

GPU & Distributed Systems

• Experience working with:
  
  
• GPU clusters (NVIDIA stack preferred)
  
  
• Distributed training or inference systems
  
  
• Familiarity with:
  
  
• NCCL, CUDA, or GPU performance profiling
  
  
• Networking concepts (RDMA, Roce, Infiniband, high-throughput systems)
  
  

Kubernetes & Cloud Platforms

• Hands-on experience with:
  
  
• Kubernetes (EKS, GKE, or on-prem)
• Slurm 
• Containerization (Docker)
  
  
• Exposure to:
  
  
• GPU scheduling in Kubernetes environments
  
  
• Multi-tenant or production ML deployments
  
  

Programming & Tooling

• Strong Python skills (PyTorch preferred)
  
  
• Experience building:
  
  
• ML pipelines
  
  
• APIs or inference services
  
  
• Familiarity with Lightning AI, PyTorch Lightning, or similar frameworks is a plus
  
  

Customer-Facing Excellence

• • Ability to:
    
    
    • Explain complex infrastructure and ML tradeoffs clearly
      
      
    • Run technical discovery and uncover quantifiable success metrics
      
      
  • Experience working cross-functionally with:
    
    
    • Sales, product, and engineering teams

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

GoFundMe Pro  helps nonprofit organizations fundraise more effectively across donation experiences, peer-to-peer fundraising, and events. We’re looking for a Staff Product Manager to own high impact product areas across the supporter and nonprofit admin experience.

We’re looking for a Staff Product Manager to own high impact product areas across the donor experience. This role sits at the intersection of customer empathy, data, and emerging AI -building experiences that increase donor trust, conversion, and long-term engagement while delivering measurable business outcomes.

Candidates considered for this role will be located in the San Francisco Bay Area. There will be an in-office requirement of 3x a week

What You’ll Do

• Lead the end-to-end checkout experience, driving improvements in conversion, payment success rates, and donor retention
• Build delightful, intuitive experiences grounded in customer empathy and real-world behavior
• Leverage data, experimentation, and customer feedback to increase conversion.
• Operate with end-to-end accountability -from problem definition through delivery, optimization, and scale but in a way that you are leveraging the system and collaborating with others.
• Work cross-functionally with engineering, design, go-to-market, and data science partners to execute effectively
• Act as the voice of the customer, deeply understanding user needs, motivations, and pain points
• Use qualitative and quantitative insights to inform product and GTM decisions, define success metrics, and track outcomes
• Champion your product internally - building clarity, excitement, and alignment across teams while influencing without authority.
• Drive strong execution by transforming ambiguity into disciplined execution - defining scope, sequencing work, mitigating risks, coordinating stakeholders, and ensuring teams deliver against commitments.

You might thrive in this role if you:

• Bring 6+ years of product management experience, including leading growth initiatives for self-serve SaaS products
• Are skilled in Discovery that helps identify the right problems to solve and clearly articulate what not to build and why
• Are highly analytical and fluent in experimentation
• Operate effectively in fast-moving, ambiguous environments 
• Excel at aligning cross-functional teams and leading complex initiatives across product, engineering, and GTM teams
• Are AI Powered and actively use AI tools to accelerate work across the product development lifecycle - from discovery and synthesis to PRDs, experimentation, and iteration
• Leverage tools like Cursor and other AI-assisted workflows to improve speed, clarity, and decision quality in collaboration with Engineering and Design
• Are customer obsessed and growth minded

What You Bring

• 5+ years of product management experience with increasing scope, ownership, and measurable impact
• Proven track record of building, launching, and scaling successful products that drive customer and business outcomes. 
• Strong analytical and decision-making skills—comfortable using both data and judgment to drive outcomes
• Strong decision-making skills grounded in data, customer insight, and sound judgment
• Hands-on familiarity with AI tools (e.g., Cursor, LLM-based research, prototyping, or analytics tools) and comfort applying AI across the PDLC to improve speed and quality. 
• Experience working directly with customers and deeply analyzing consumer behavior and market trends
• Ability to operate independently, manage ambiguity, and perform at a fast pace under pressure
• Exceptional communication skills with the ability to align teams, present to senior leadership, and drive execution
• Humility, curiosity, and a bias toward learning

Nice to Have

• ​​MBA from a leading program, ideally focused on technology or entrepreneurship
• BA/BS in a technical field
• Background in management consulting
• Experience in fintech, payments, donations, or multi-stakeholder platforms

Why This Role Matters

You’ll shape products that don’t just grow revenue—but build trust, unlock value for customers, and create durable impact. This is a high-autonomy role for a product leader who thinks like a founder, ships with purpose, and is excited about what’s next.

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

The total annual salary for this full-time position is $181,000- $240,000 + equity + benefits.  The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Metaview as part of our hiring process for jobs in NYC and certain features may qualify it as an automated employment decision tool (AEDT), as defined by New York City Local Law 144. As part of the hiring process, we provide Metaview with job requirements and candidate submitted resumes and application materials to assist in evaluating job-related qualifications. While this tool is used to improve efficiency and support our recruiting personnel, all final hiring decisions are made by GoFundMe employees.

We began using Metaview on March 10, 2026. The Metaview tool has been reviewed by an independent auditor. Results of the audit may be viewed here. The tool evaluates your professional experience, technical skills, education, and other qualifications using information collected directly from your submitted resume and application materials; all such data is retained in accordance with GoFundMe’s Personnel Privacy Notice and applicable legal requirements. If you would like to request an alternative selection process or a reasonable accommodation, please contact accommodationrequests@gofundme.com.

What We're Looking For

Lightning AI is seeking a Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.

You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Storage Systems & Infrastructure

• Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
• Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
• Troubleshoot complex storage and data path issues across hardware and software layers
• Optimize storage performance to support high-throughput, low-latency AI training and inference workloads

Automation & Tooling

• Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
• Develop Python-based tools and workflows to reduce manual operational overhead
• Improve lifecycle management of storage clusters, from deployment through maintenance and scaling

Systems & Operations

• Manage and operate Linux-based systems in production, including bare-metal environments
• Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
• Support capacity planning, utilization tracking, and forecasting for storage systems
• Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability

Cross-Functional Collaboration

• Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
• Contribute to design discussions around new infrastructure deployments and scaling strategies
• Help define best practices for operating storage systems in high-performance computing environments

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
• Strong Linux systems experience in production environments
• Proficiency in Python or similar scripting/programming languages for automation
• Experience working with bare-metal infrastructure and hardware-oriented systems
• Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
• Experience with storage networking protocols (e.g., NFS or similar)
• Experience with capacity planning, monitoring, and performance tuning

Ideal Experience

• Experience with VAST storage systems in production environments
• Experience operating S3-compatible object storage at scale
• Data center operations experience, including working with physical hardware
• Familiarity with AI/ML or HPC workloads and their storage requirements
• Background in high-performance or low-latency distributed systems
• Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
• Experience supporting GPU-based workloads or large-scale compute clusters

Compensation

What We’re Looking For

Lightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.

You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

Observability Platform & Productization

• Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
• Drive the productization of observability capabilities for both internal teams and external customers
• Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
• Continuously improve observability systems to keep pace with rapid infrastructure buildouts

Telemetry & Data Pipelines

• Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
• Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
• Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar

Alerting, Reliability & Insights

• Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
• Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
• Build automated insights and enable proactive detection, forecasting, and system health visibility at scale

Systems & Infrastructure Engineering

• Contribute to broader infrastructure engineering projects beyond observability
• Partner with infrastructure and platform teams to embed observability into core systems and workflows
• Support large-scale, distributed systems across compute, networking, and storage environments

Cross-Functional Collaboration

• Work closely with customer-facing teams to deliver external observability experiences
• Collaborate with engineering, operations, and support teams to improve system transparency and reliability
• Help define best practices for observability across the organization

What You’ll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
• Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
• Experience building and operating observability platforms at scale
• Proficiency in Python, Go, or bash for automation and data integration
• Familiarity with containerized environments and Kubernetes observability
• Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
• Experience with multi-tenant monitoring architectures
• Strong written and verbal communication skills

Ideal Experience

• Experience with GPU observability, particularly NVIDIA DCGM
• Experience monitoring large-scale GPU or HPC clusters
• Familiarity with InfiniBand fabric observability
• Experience building customer-facing or productized infrastructure systems
• Experience with correlation engines, RCA workflows, or predictive alerting systems
• Broad exposure to infrastructure domains including networking, storage, and provisioning

Compensation

What We're Looking For

Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.

You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Systems, Image & Validation Infrastructure

• Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
• Run and maintain test clusters used for system validation, diagnostics, and bring-up
• Validate firmware, drivers, and OS images across compute and GPU-enabled systems
• Support hardware qualification efforts for next-generation platforms

GPU Diagnostics & Performance

• Own GPU diagnostics and validation workflows across large-scale infrastructure
• Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
• Analyze system and GPU performance using tools such as NVIDIA DCGM
• Identify failure patterns and drive improvements in system stability and validation coverage

Automation & Tooling

• Build and maintain automation for provisioning, validation, and system bring-up
• Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
• Improve the reliability, repeatability, and scalability of image pipelines and validation systems

Systems & Operations

• Manage and operate Linux-based systems in production and validation environments
• Manage virtualization technology
• Support bare-metal provisioning workflows, including PXE and image-based systems
• Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging

Cross-Functional Collaboration

• Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
• Collaborate with platform and ML teams to ensure systems meet workload requirements
• Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Strong Linux systems experience in production environments
• Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
• Familiarity with bare-metal provisioning and system bring-up workflows
• Proficiency in Python or similar scripting/programming languages for automation
• Ability to debug complex issues across hardware, OS, GPUs, and system software

Ideal Experience

• Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
• Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
• Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
• Data center operations experience, including working with physical hardware
• Experience supporting AI/ML or HPC workloads at scale
• Experience with GPU validation frameworks or large-scale hardware qualification processes

Compensation

What We're Looking For

We’re looking for a Fullstack Engineer to help develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and either Python or Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Proficiency in React and either Go (Golang) or Python, with a preference for Go
• Strong understanding of software engineering principles and lifecycle
• Hands-on experience as a Fullstack Engineer in a SaaS technology company
• Proven ability to take ownership of key features and drive end-to-end development
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

What We're Looking For

We’re looking for a Frontend Engineer to help develop and scale the UI and frontend infrastructure of the Lightning AI platform. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. With over 10,000 organizations building with Lightning, you’ll have a unique opportunity to impact how the world builds and deploys AI to production.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and Redux, and build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the user interface and frontend infrastructure while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment in which each engineer can grow.

What You’ll Need

• Proficiency in React, JavaScript and TypeScript.
• Strong understanding of software engineering principles and lifecycle.
• Hands-on experience as a Frontend Engineer in a SaaS technology company.
• Proven ability to take ownership of key features and drive end-to-end development.
• Communication and collaboration with engineers, product managers, and designers.
• Ability to operate in high uncertainty and rapidly changing environments.

Compensation

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

Tech Lead – Data Scientist

About the Role

We are looking for a Technical Lead to drive the development of Obsidian's core ontology that powers our groundbreaking unified security config analysis, AI security, and threat detection product.

• Scale this ontology as part of a team of 3-6 software engineers and data scientists to cover hundreds or thousands more enterprise application platforms. Drive automation of repeatable R&D subtasks.
• Become an expert on foundational identity, authentication, authorization, network, and data security concepts. An unhealthy dose of curiosity about the design and administration — technology, people, and process — of complex application platforms such as GitHub, Salesforce, and Workday is a must. You will love exploring rabbit holes into esoteric domain knowledge related to these topics.
• Formulate security problems as data and ML problems, constantly addressing and refining the customer outcome in collaboration with top-flight security teams from Global 1000 companies.

What We’re Looking For

• 6+ years of experience in data science, machine learning, or applied research, preferably with 2+ years in a technical leadership role.
• A track record of shipping production ML or data systems at scale — ideally systems involving ontologies, knowledge graphs, entity resolution, or semantics over heterogeneous data sources.
• Expert-level proficiency in Python and modern ML/data tooling.
• Working knowledge of core security domains, or a strong ability to learn.
• Experience formulating fuzzy business or security problems as concrete ML/data problems:
• able to decompose ambiguous, ambitious problems into well-scoped subproblems and design experiments with statistical rigor.
• comfortable being scrappy and diving deep into vendor documentation, APIs, and audit logs to find the necessary data sources

• Excellent written and verbal communication skills; ability to engage credibly with technical security practitioners at large enterprises.

Datadog is seeking an Analyst Relations Principal to help shape and scale our global Analyst Relations (AR) program. In this role, you will lead strategic engagement with industry analysts across observability, AI, and adjacent cloud technologies, ensuring they have a clear understanding of Datadog’s platform, innovation, and long-term vision. You will partner closely with Product Management and Product Marketing to translate complex technical capabilities into compelling narratives, while bringing analyst insights back into the business to inform strategy and positioning. This is a highly cross-functional role that blends strategic thinking with operational excellence and offers strong visibility across senior leadership.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Develop and drive the global analyst relations strategy across Datadog’s observability and AI portfolio
• Build and maintain trusted relationships with key analysts across firms such as Gartner, Forrester, and IDC
• Partner with Product Management and Product Marketing to craft clear, differentiated narratives aligned to market trends
• Lead strategy, preparation and execution of analyst evaluations and research cycles, ensuring high-quality submissions
• Prepare senior leaders for analyst briefings with structured messaging and executive-ready materials
• Synthesize analyst insights into actionable recommendations for product strategy and go-to-market alignment

Who You Are:

• 8+ years of experience in Analyst Relations, Product Marketing, or a related role within the technology industry
• Proven experience building and scaling analyst engagement programs tied to business objectives
• Strong written and verbal communication skills with the ability to simplify complex technical concepts
• Strong executive presence with experience working with and advising senior executives in high-visibility external engagements
• Highly organized with the ability to manage multiple priorities in a fast-paced environment
• Demonstrated collaboration with cross-functional teams including Product Management and Marketing

Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply.

Benefits and Growth:

• Generous and competitive global and US benefits
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and growth opportunities
• Product training to deepen understanding of Datadog’s platform and ecosystem
• Internal mentorship and cross-functional learning opportunities
• Inclusive and collaborative workplace culture

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

P-1549

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

The Mission

Databricks agents are only as good as the context they can retrieve. Whether an agent is answering a question about last quarter's revenue, debugging a failing job, generating SQL against a 10,000-table lakehouse, or summarizing a Wiki page, its quality is bounded by what it can find — and how well it understands what it finds.

We are hiring a Senior Staff Applied AI Engineer to own context retrieval for Databricks agents across SaaS providers. This is a zero-to-one role with two deeply connected charters:

1. Build the retrieval stack — query understanding, content understanding, ranking, retrieval, and evaluation — across the Enterprise SaaS data stored across multiple systems.
2. Build the search subagents that sit on top of that stack and reason about what context is needed, how to retrieve it, and whether the right thing actually came back — closing the loop between an agent's intent and the substrate that serves it.

If you have deep Information Retrieval wisdom, have shipped retrieval systems for RAG and agentic workloads, and want to build the substrate — and the agents on top of it — that make every Databricks agent measurably smarter, this role is for you.

What You Will Do

• Build the full retrieval stack from scratch. Own the end-to-end system: query understanding, content understanding and indexing, hybrid retrieval, ranking, and evaluation. Make the architectural calls that will define how Databricks agents access context for years to come.
• Retrieve across heterogeneous data — structured and unstructured. Index and rank across structured assets (tables, columns, SQL queries, dashboards, code, notebooks, jobs) and unstructured content (docs, wikis, tickets, chat, images, video, audio). Each modality has its own signals — design retrieval that exploits them rather than flattens them.
• Connect to the SaaS surface area customers actually use. Build connectors and retrieval adapters for the systems where enterprise knowledge lives. Treat each retrieval source with its own freshness, permissions, and ranking signals.
• Optimize for two consumers at once. Retrieval must serve both LLMs (grounded, token-efficient, hallucination-resistant context) and humans (intuitive, explainable discovery). These are different objectives and require different signals — own both.
• Crack query understanding for agents. Agent queries don't look like web queries. Build query rewriting, decomposition, intent classification, and entity resolution tuned for multi-turn agentic workflows.
• Crack content understanding at scale. Build the pipelines that extract structure, entities, embeddings, summaries, and metadata from every supported asset type — and keep them fresh as customer data evolves.
• Build search subagents that reason about retrieval. Design the agentic layer that decides what context is needed, which sources to query, how to decompose and route the search, and — critically — whether the retrieved content is actually sufficient to answer the question. These subagents will plan multi-hop searches, issue follow-up queries when results are weak, ground claims against retrieved evidence, and hand back high-confidence context (or signal failure) to upstream agents. This is where IR meets agentic reasoning.
• Build the evaluation flywheel for both retrieval and subagents. Stand up offline evals (nDCG, MRR, Recall@K, Precision@K), LLM-as-judge harnesses, human-in-the-loop labeling, and online experimentation. Extend evaluation beyond ranking metrics to measure subagent decision quality — did it ask the right follow-up?, did it correctly recognize when retrieval failed?, did it ground its answer in the right evidence?. Quality you can't measure is quality you can't ship.
• Set technical direction and grow the team. Set the multi-year roadmap, mentor senior engineers, partner with Research, Product, and Platform leaders, and raise the technical bar across the org.

What We're Looking For

• 10+ years of software engineering experience, with significant time spent building production retrieval, search, or RAG systems at scale.
• Deep Information Retrieval (IR) expertise: lexical retrieval (BM25, Lucene/Elasticsearch/OpenSearch), dense retrieval (embeddings, ANN indexes — FAISS, ScaNN, HNSW), hybrid retrieval, and learning-to-rank.
• Hands-on experience with modern LLM-era retrieval: RAG architectures, query rewriting, re-ranking with cross-encoders, long-context strategies, and grounding techniques that reduce hallucination.
• Experience designing agentic systems on top of retrieval — search planners, multi-hop / iterative retrieval, self-reflection and sufficiency checks, tool-using agents that decide what to fetch and verify what came back.
• Strong grasp of relevance evaluation: nDCG, MRR, Precision@K, Recall@K; offline/online experimentation; LLM-as-judge frameworks; building human labeling pipelines.
• Experience working across structured and unstructured data — you've indexed and ranked over tables, code, and documents in the same system, and have opinions about how to do it well.
• Track record of building 0→1: you've stood up a retrieval system from an empty repo, made the foundational architectural decisions, and grown it into something that customers depend on.
• Demonstrated ability to operate as a technical leader: setting direction across teams, mentoring senior engineers, and influencing roadmap with research, product, and platform partners.

Nice to Have

• Experience building retrieval over enterprise SaaS sources (permissions, freshness, multi-tenancy, ACL-aware indexing).
• Background in agentic systems, tool use, or multi-turn retrieval for LLM agents.
• Contributions to open-source IR/search projects, or publications at SIGIR, KDD, WWW, EMNLP, or similar venues.
• Experience training or fine-tuning embedding models, rerankers, or query understanding models.

Why This Role

• Foundational impact. Retrieval is the single biggest lever on agent quality. The stack you build will sit underneath every Databricks agent and every customer-built agent on our platform.
• Greenfield with scale. You get the rare combination of starting from a clean sheet and having immediate access to massive enterprise scale, real customer data, and a world-class research org.
• The right team. You'll work alongside engineers and researchers behind Lakehouse, Apache Spark™, Delta Lake, MLflow, MosaicML, and DBRX.

Location

This role is based in our Mountain View, CA or San Francisco, CA office. Hybrid in-office collaboration expected.

What we can offer

A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. At LG we make products and services that make lives better, easier, and happier through increased functionality and fun. Put simply, we offer the latest innovations to make "Life Good" - from home appliances, consumer electronics, vehicle components and mobile communications to business innovations in digital signage, air conditioning, solar and LED lighting. As a global leader, we strive for greatness in product leadership, market leadership and people leadership to realize our growth strategies.

Job Summary

The Area Technical Specialist will serve as a key technical resource and liaison for HVAC Contractors, Distributors, and Manufacturer Representatives. Responsibilities include providing expert technical guidance via phone and email, resolving escalated system issues, technical training, and ensuring customer satisfaction utilizing case management. This role involves interpreting wiring schematics, troubleshooting Variable Refrigerant Flow (VRF) systems, and conducting critical software and hardware updates. The Area Technical Specialist will also coordinate jobsite visits, be directly responsible for regional success of assigned customer service champions and assist in the development of training materials. A strong ability to network and foster relationships with staff and partners is essential. Support for all residential and commercial products are required.

The Opportunity

• Develop regional service support strategies & actions through the LG Preferred Service Champion Program.
• Manage all aftermarket support activities within assigned region.
• Interface with building owners, general contractors, and service champions on technical matters.
• Provide direct technical guidance via phone, email, and case support for HVAC Contractors, Distributors, Manufacturer and Applied Reps to facilitate timely resolution of system issues and ensure customer satisfaction.
• Read, understand, and interpret wiring schematics and refrigerant circuit diagrams to convey information to customers.
• Coordinate with Technical Support, Escalation Lead, Engineering and Controls team members to provide direction and resolve escalated technical field issues.
• Arrange for and facilitate supervised technical assistance for HVAC Contractors, Distributors, Manufacturer and Applied Reps for unresolved technical issues.
• Interact directly with HVAC Contractors, Distributors, Manufacturer and Applied Reps for coordination of jobsite visits.
• Utilize and instruct HVAC Contractors, Distributors, Manufacturer and Applied Reps in proper utilization of LG proprietary software for the purpose of assessing equipment selection, application, and troubleshooting.
• Review and analyze application of Variable Refrigerant Flow (VRF) Commercial & Residential & Light Commercial (RLC) Systems which includes load verification duties as needed.
• Perform critical software and hardware service updates to equipment in inventory or in the field as required.
• Schedule and conduct onsite service, training, and installation support of all LG HVAC equipment for LG Sales channel partners. 
• Research and provide accurate technical information for use in the development of technical training material.
• Generate and conduct technical training sessions in both classroom and jobsite settings.
• Conduct technical review and guidance for factory literature and distribution of technical service bulletins.
• Support aftermarket rework projects as needed.
• Network with regional sales staff fostering technical relationships within respective coverage regions. 
• Review extended warranty submissions within KPI target of (5) days ensuring equipment entered for extended warranty is optimally functional and operating correctly.  

Qualifications

• HVAC Vocational Diploma, Bachelor, or Associates Degree preferred.
• Minimum 15-20 years’ experience in the HVAC field or in a technical support role.
• Minimum of 3-5 years' experience supporting LG VRF & RLC systems in a technical support role.
• Capable of managing regions and assigned service champions.
• Proven experience setting goals and executing service support strategies.
• Demonstrated proficiency in LG product line technical knowledge.
• Proficiency in documentation creation and dispersion.
• Able to travel up to 75%.
• Excellent communication skills and interpersonal skills to interact effectively with diverse client group.
• Ability to troubleshoot in depth service issues via phone and onsite.
• Expertise in reading, analyzing and interpreting technical business periodicals, professional journals and technical procedures with the ability to edit and modify.
• Ability to write reports and business correspondence.
• Well-developed planning, organization, analytical, and decision-making skills.
• Proficient computer skills using all Microsoft Suite Programs.

Vast is looking for a Metrology Technician I, reporting to the Manager, Metrology, to support the development of the systems that will be required for the design and build of artificial-gravity human-rated space stations.

This will be a full-time, non-exempt position located in our Long Beach location.

Responsibilities: 

• Facilitate the integration of all calibrated tool inventories into ERP System, to enable tracking, traceability, and accessibility of measurement data, leading to improved data management and process efficiency
• Maintain a comprehensive calibration database to track and document equipment calibration schedules, results, and historical records, ensuring the integrity of measurement data and compliance with VAST Metrology to VAST Quality Management System, AS9100D and ISO9001 requirements 
• Collect and analyze measurement data to identify trends, variations, and areas for improvement in processes and products
• Follow procedures to perform routine and complex tasks related to the calibration, compensation, repair and maintenance of electronic, physical–dimensional, mechanical, thermodynamic and/or chemical IMTE 
• Use measurement reference standards and calibration systems to verify conformance of IMTE with associated performance criteria
• Drive assessment, modification, and implementation of metrology processes, applications, and improvements

Minimum Qualifications:

• High school diploma or equivalency certificate
• 1-2 years of experience in the repair and calibration of IMTE 
• 1+ year of experience with ERP System
• Available to work 1st shift: 7am-4pm PST

Preferred Skills & Experience:

• 4+ years of professional and / or academic experience 
• Experience using, calibrating, compensating and / or repairing high accuracy, high precision measurement equipment
• Training in defense, aerospace, energy and / or medical settings
• Excellent quantitative and verbal reasoning skills
• AC / DC low frequency IMTE calibration, compensation and repair experience
• Precision Measurement Equipment Laboratory (PMEL) and/or Test Measurement and Diagnostic Equipment (TMDE) experience
• Familiarity with ISO / IEC 17025, AS9100D and ISO9001 
• Familiarity with Calibration Management and Metrology Information Systems
• Experience with and in-depth knowledge of Microsoft Office Suite (Word, Excel, PowerPoint, Outlook) 

Additional Requirements:

• Able to lift up to 25 lbs. Unassisted
• Ability to work overtime and weekends as needed
• Ability to balance and provide timely execution of multiple assigned tasks and projects

About the Role

Our Payroll Manager will be part of the NAMER payroll team responsible for preparing, processing and maintaining US payroll for assigned entities within Monks. This is a role for someone curious to learn more and willing to innovate. The Payroll Manager will take pride in everything they do and embody these values to create an inclusive first-class unique employee experience that is true to Monks. 

The Payroll Manager will partner with the Senior Manager, Payroll in processing payroll for 500-600 full-time and part-time employees, in addition to our contingent/freelance teams. This position will administer both semi-monthly and bi-weekly payroll ensuring that pay is processed on time, accurately and in compliance with regulatory requirements. 

Responsibilities:

• Own the payroll function and serve as the main point of contact for all payroll related matters
• Process bi-weekly and semi-monthly payrolls, final and ad-hoc disbursement of multi-state payroll in Ceridian, including, but not limited to garnishments, tax liens, deductions, benefits, terminations and taxes for the US 
• Manage workflows to ensure all payroll transactions are processed accurately and in a timely way
• Ensure payroll tax returns are filed accurately, timely and in compliance with tax authorities
• Reconcile payroll prior to transmission and validate confirmed reports
• Work closely with the HR People team as well as our international finance and payroll teams.
• Facilitate audits and work with our tax advisors on all state and federal payroll tax matters to ensure the Company is compliant in all the latest tax developments and legislations
• Perform payroll analysis and research as required
• Conduct periodic audits of all payroll records and assist in preparing payroll and financial audits
• Collaborate with other teams on cross-functional payroll matters and provide company-wide training on payroll policies and procedures
• Assist in ad hoc projects such as documenting workflows, registering in new states for payroll taxation, improving processes/procedures, and system implementations
• Coordinate with Finance in the recording of payroll and 401 (k) transactions within agency's financial platform
• Receive, review and process freelancer/contractor invoices, benefits invoices, and other semi-monthly/monthly billings 
• Maintain and update our HRIS and payroll systems data to include new hires, terminations, promotions/salary changes, title changes, benefits, and garnishments
• Handle sensitive information with the highest degree of integrity and confidentiality
• Serve as the point of contact for payroll related inquiries

About You

The essentials:

• 5 years of experience processing medium to large size company payroll
• Experience with processing multi-state payroll
• Experience with G Suite, including Google Drive, Google Docs, and Google Sheets, is a plus
• Experience with Ceridian/Dayforce and Workday is a plus
• Excellent verbal and written communication skills
• Excel in analytical and problem solving skills
• Strong work ethic and ability to adapt to rapidly changing environments
• Ability to multi-task with attention to detail and minimal supervision

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-Hybrid

#LI-SDL1

Snapshot 

At Google DeepMind, our research team is dedicated to tackling the most complex challenges in online information quality. We strive to advance the state of the art by developing innovative solutions to detect manipulated media and misleading narratives, ensuring the integrity of digital discourse. A prominent example of our scientific discovery is Backstory. Our interdisciplinary work spans provenance analysis and the creation of tools for AI-assisted information literacy, leveraging our technologies for the widespread public benefit of a safer online environment. We thrive in a supportive environment that encourages rapid prototyping and iteration, driving our research achievements directly into Google’s flagship models, including Gemini.

About us 

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit. 

We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.

The role

To succeed in this role, you will need to be passionate about advancing information literacy using machine learning and other computational techniques. You'll join an interdisciplinary team of domain experts, ML researchers, and engineers to research and build multimodal reasoning systems and Vision-Language Models (VLMs) to assess the trustworthiness of media (images, audio, and videos) on the internet.   

Key responsibilities:

• Plan and perform rapid prototyping of computer vision and multimodal machine learning techniques applied to determining authenticity of media information.
• Design and train multimodal models capable of complex visual reasoning.
• Undertake exploratory analysis to inform experimentation and research directions.
• Engage with product teams to drive the development of our research.
• Implement tools, libraries, and frameworks to speed up and enable new research.
• Report and present research findings, software developments, experimental results, and data analysis clearly and efficiently.
• Collaborate with internal and external scientific domain experts.

About you

In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:

• PhD/Master’s degree in Computer Science, AI, ML, or equivalent practical experience.
• At least 2 years of relevant experience developing computer vision techniques or multimodal machine learning models.
• Experience in software development using Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch), with a proven track record of building high-quality research prototypes and systems.
• Quantitative skills in math and statistics.
• Experience exploring, analysing and visualising data.

In addition, the following would be an advantage: 

• Experience in training and deployment of large-scale models.
• Experience with Video Understanding
• Experience with Large Language Models, prompt engineering, few-shot learning, post-training techniques, and evaluations.
• A proven track record of research or engineering achievements, such as publications in peer-reviewed conferences or journals.

When assessing technical background we will take a holistic view of the mix of scientific, ML and computational experience. We do not expect you to be an expert in all fields simultaneously.

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

The US base salary range for this full-time position is between 174,000 USD - 252,000 USD + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.

Corporate Counsel

Location - Remote (Bay Area highly preferred) | Regular in-person team meetings in the Bay Area

About Ladder

We saw a problem within the life insurance industry: getting covered took too long, involved too much paperwork, and required too many in-person meetings with sales agents. Having lost his father at a young age, our CEO, Jamie, was determined to make it easier for people to get the coverage they needed to provide for their families. So, we got to work. We developed a method of real-time underwriting leveraging AI and, in doing so, reduced the months-long process of applying for life insurance to minutes. Our digital experience is quick (instant decisions!), loved by users (check out our Trustpilot or Google reviews) and prolific ($74 billion+ in coverage provided).

About the role 

This is a remote-first role. You'll work from home the majority of the time and join the team for regular in-person collaboration — these gatherings are purposeful: team strategy, relationship-building, and cross-functional alignment. Bay Area candidates are strongly preferred to make those connections easy and meaningful.

If remote you must be based in one of the 23 States Ladder is currently hiring in - AZ, CA, CO, FL, GA, IA, KS, MA, MD, MN, NC, NE, NH, NJ, NV, NY, OH, OR, PA, TX, VA, WA, WI.  Please note, Ladder is not currently sponsoring or transferring OPT or H1-B visas.

Who You Are

Ladder is hiring Corporate Counsel who is passionate about commercial contracting (both inbound and outbound), enjoys the thrill of the deal and working towards a common goal, and is a people-person who thrives off of collaborating closely with cross-functional stakeholders to solve problems and appropriately assess risk. The successful candidate is a clear communicator with sound judgment, great people skills, and proven experience effectively providing legal advice and negotiating with sophisticated counterparties in a fast-paced environment.  The ideal candidate will also be eager and curious to support other functions within our lean but mighty legal team,  including assisting our product and engineering teams, privacy, IP, and regulatory matters. Ladder was born in Palo Alto, California. We prefer the Corporate Counsel to be based in the Bay Area.

How You'll Make a Difference

• Support Ladder’s commercial legal function by negotiating contracts (both inbound and outbound) with our commercial partners to accelerate the growth of our business.
• Advise on a broad range of legal issues including product, CX, regulatory, IP, and data privacy and security.
• Support scaling projects that directly impact the growth of the commercial legal function.
• Draft and negotiate commercial agreements, templates, nondisclosure agreements, terms of use, and other key legal documents.
• Collaborate with partnerships, marketing, product, finance and other stakeholders on key initiatives.
• Support and/or manage other legal matters as they arise.

Experience Required

• JD and membership in at least one state bar
• 3+ years of relevant firm and/or in-house legal experience
• Demonstrated sound judgment, negotiation and analytical skills
• Ability to find creative solutions and balance legal risk with business objectives
• Exceptional interpersonal and communication skills
• Experience learning new areas of law
• Team-player who is willing to take on any project that comes up
• Experience interpreting and complying with regulations in a variety of jurisdictions a plus
• Prior experience in or knowledge of insurance regulatory law a plus 

What we Offer 

Ladder is highly collaborative and fun. To support you in your role, we offer fantastic perks and benefits that reflect our mission of care and support, including:

• Excellent medical, dental, and vision coverage | We offer competitive healthcare, dental and vision plans for you and your family.
• Flexible paid time off | Take the time that you need to rest and recharge, including our week-long winter holiday closure. 
• Stock options | We offer competitive stock option packages to participate in the success of building Ladder.
• A rewarding 401k match program | We'll match up to 4% of your contributions as you save for your retirement goals.
• Ladder Fit Program | Your health matters. That’s why Ladder provides a monthly stipend for wellness-related expenses.
• Paid parental leave | We think it's crucial that new parents have time to adjust to their new lives without worrying about work, so we provide all parents inclusive of birthing, adoption, or fostering ten weeks of paid baby bonding.
• Work-from-home flexibility and support | We recognize that everyone's homelife is different and support remote work. Upon joining, we provide a one-time remote office stipend for all team members and then a monthly stipend to cover WFH costs such as the internet.
• Fun company-wide events | We genuinely enjoy spending time together. That’s why we plan fun virtual events to let loose and laugh.

The base pay range targeted for this position is $180,000 - $250,000. This role is eligible for equity and benefits as shared above. Base pay is determined by market location and may vary depending on job-related knowledge, skills, and experience.

Ladder is building a diverse team of talented and enthusiastic people. We are an equal opportunity workplace. At Ladder, differences are celebrated and supported to benefit our people, product, and community. Let us know why you're interested in this position and what unique contributions you can make to the Ladder team. We look forward to hearing from you.

Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria – unlike majority candidates meeting significantly fewer requirements. We strongly encourage you to apply if you’re interested: we'd love to know how you can elevate our team with your unique experience!

By clicking "Submit Application," you acknowledge that you have read and agree to the Ladder Job Applicant Privacy Policy and Notice at Collection. 

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join Us! GoFundMe is seeking a customer-obsessed, insights-driven and savvy Principal Consumer Product Marketing Manager to lead high-impact, consumer-facing initiatives across our platform. You’ll be instrumental in shaping compelling product narratives, crafting GTM strategies, and influencing cross-functional teams to drive measurable results across our consumer lifecycle.

From early strategy through activation and continuous optimization, you’ll help connect people to the causes and communities that matter most. You’ll be expected to operate with a high degree of independence, manage ambiguity with clarity, and lead initiatives that impact both team and company-wide goals. 

Candidates considered for this role will be located in the San Francisco, Bay Area. There will be an in-office requirement of 2-3x a week.

The Job

Strategic Product & Go-to-Market Leadership

• Lead end-to-end go-to-market strategies that bring our products to life—shaping the vision, rallying cross-functional partners, and turning ideas into impactful launches. 
• Obsess over understanding our ideal customers—grounded in data and human insight—to define clear segments and craft standout messaging and tactics that inspire people to help others.
• Flex your analytics muscle through defining, tracking and communicating key metrics that show the impact of product marketing efforts on product adoption, engagement, and growth.
• Translate business objectives and consumer needs into integrated marketing and channel strategies that drive meaningful adoption, engagement, and growth.
• Keep the momentum going after launches, leading energizing retros, uncovering what worked (and what didn’t), and turning those insights into smarter tests, sharper iterations and scaled impact.
• Bring a highly data-driven approach to decision-making, leveraging quantitative and qualitative insights, including a deep partnership with research to optimize strategy and performance.
• Bring a right-brained spark to GTM - using creative, unconventional thinking to solve tough challenges and help us stand out in a crowded, competitive space.
• Leverage journey mapping to better understand consumer experiences and inform full-funnel strategies.

Positioning & Messaging

• Craft clear, differentiated, and emotionally resonant messaging frameworks that map to business objectives, customer needs, behaviors, and motivations.
• Synthesize complex product information and research into clear, compelling product narratives aligned with user motivation, market opportunity, and business strategy.
• Build and maintain messaging frameworks, positioning guides, and audience strategies to be used across all GoFundMe business teams. 
• Maintain an understanding of the competitive set, ensuring messaging and positioning stand out in the market and reflect current trends and dynamics.

Strategic Influence

• Serve as the glue between Product, Marketing, Research, and Data, translating insights and data into action, particularly in fast-moving, high-complexity environments. 
• Partner closely with PMs, Engineers, Researchers, and Designers to inform product strategy and roadmap through consumer insights, competitive landscape, market dynamics, and a deep understanding of emerging cultural trends shaping user behavior.
• Identify and validate product hypotheses through testing frameworks and research driven feedback loops.
• Be deeply connected with research, using it as a foundational input for strategic decision-making across GTM and product marketing efforts.

Operational Excellence

• Ensure alignment across Marketing, Comms, Social, and Growth teams on execution timelines, assets, and performance goals.
• Proactively identify risks or misalignments and take initiative to realign plans or surface strategic pivots.
• Lead by example with rigor, clarity, and a bias toward action.

What Success Looks Like

• GTM strategies are clearly defined, well communicated, and executed with confidence, resulting in product adoption, engagement, and business growth.
• Stakeholders feel informed, empowered, and aligned across functions and priorities.
• Product marketing consistently fills the strategic and executional gaps across launches for both product and marketing functions.
• Messaging resonates with users and scales across surfaces, from lifecycle emails to landing pages to all other owned, earned and paid channels.
• You are seen as a strategic leader and reliable owner by Product, Marketing, and Executive teams alike.

You

• 6–10+ years of experience in Product Marketing, with proven impact on consumer-facing product launches and strategic initiatives.
• A strong track record of independently owning high-impact product launches, including testing frameworks and full-funnel marketing campaigns.
• Exceptional ability to synthesize ambiguity into actionable strategy, and to provide clarity where there is none.
• Mastery of product storytelling, messaging frameworks, and positioning across varied user segments and lifecycle stages, paired with prolific writing skills that translate complex ideas into clear, compelling narratives across channels.
• A consumer-obsessed mindset, consistently advocating for user-first thinking and grounding decisions in user behavior and research.
• Excellent project management, communication, and stakeholder engagement skills.
• Familiarity with tools such as Figma, ClickUp, Amplitude, and Slack to drive GTM planning and collaboration.

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

The annual U.S. salary range for this full-time position is $171,000 - $257,000. The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

ABOUT THE JOB

We are seeking a dynamic and experienced Technical Sourcer to join our talent acquisition team. In this role, you will proactively identify, engage, and nurture top-tier technical talent to support our fast-paced, innovative environment. You will partner closely with fellow sourcers and recruiters to build pipelines for critical technical roles and help drive our company’s continued growth and success.

This role is open to 6 month contract. Location: Costa Mesa CA, Seattle WA, Boston MA.

WHAT YOU’LL DO

• Talent Identification: Utilize advanced sourcing techniques, market research, and social media platforms to uncover passive and active technical candidates.
• Candidate Engagement: Initiate and develop meaningful relationships with prospective talent through tailored messaging and personalized communication.
• Pipeline Development: Build and maintain robust candidate pipelines for various technical roles, ensuring a steady flow of high-quality candidates.
• Collaboration: Partner with hiring managers and recruiters to understand technical role requirements and align sourcing strategies with broader recruitment goals.
• Process Improvement: Analyze sourcing metrics and candidate data to refine and optimize sourcing strategies and workflows.

REQUIRED QUALIFICATIONS

• Experience: Minimum of 4 years in technical sourcing or recruiting, with a proven track record of hiring for technical roles.
• Technical Acumen: Understanding of modern technology stacks, software development processes, and technical skill sets.
• Communication Skills: Excellent written and verbal communication skills, with the ability to engage and influence candidates and stakeholders.
• Analytical Mindset: Proficient in using data-driven approaches to evaluate sourcing effectiveness and make informed decisions.
• Tool Proficiency: Familiarity with applicant tracking systems, LinkedIn Recruiter, Boolean search techniques, and other sourcing tools.
• Collaborative Spirit: Strong interpersonal skills, with the ability to work effectively in a team-oriented, fast-paced environment.

PREFERRED QUALIFICATIONS

• Startup, Tech, and Industry Expertise: Proven experience in startups, tech, or related fields such as AAV, UAS, AUV, Weapons, or similar programs.
• Tooling Experience: Expertise using Greenhouse, Gem, various AI tools, and LinkedIn Recruiter.
• Independent & Proactive: Highly self-sufficient with the ability to work autonomously and take initiative without requiring constant supervision.
• Resilient & Creative Problem Solver: Demonstrates flexibility in tackling challenges, quickly troubleshooting issues, and devising innovative solutions on the fly.
• Exceptional Communication: Communicates directly and succinctly, sharing information promptly to foster collaboration. Practices active listening and engages thoughtfully.
• Strong Sense of Ownership: Takes full accountability for their responsibilities and stays aligned with the business mission. Actively seeks opportunities to enhance company performance, even beyond their explicit role.
• Low Ego, High Curiosity: Values continuous learning over being right, embraces honest feedback, and views setbacks as opportunities for growth and improvement.

What We're Looking For

We are looking for an Account Executive with experience selling highly technical, developer-focused products to CTOs, VPs of Engineering, software engineers, researchers, and/or data scientists. You thrive in a fast-paced, start-up environment focusing on every step of the sales process, from prospecting, qualifying, and nurturing leads to running demos, negotiating contracts, and closing deals. We want someone who thinks about how to uncover and address our customers’ problems to drive customer acquisition while feeding their requirements back to inform the product roadmap.

This role is based out of our New York City office, with an in-office requirement of at least 3 days per week and occasional team and company offsites.

What You’ll Do

• Build an understanding of our target markets, value proposition, and pricing models to not only meet but exceed quarterly revenue targets.
• Focus on high-quality, consistent outbound prospecting across key market segments to build the sales pipeline and optimize the customer funnel.
• Qualify and develop both inbound and outbound sales leads.
• Collaborate with the product, engineering, and marketing teams to continuously improve and iterate on the sales process.
• Analyze industry trends and customer segmentation to identify and capitalize on new sources of qualified leads.
• Work alongside the marketing team to increase the number and quality of inbound leads.
• Champion data integrity and accuracy using HubSpot to track activity and manage sales opportunities through the funnel.

What You’ll need

• 5+ years of experience as an Account Executive or in a similar sales role, selling technical or developer-focused products to technical audiences.
• Familiarity with the machine learning, AI, or software development ecosystem, and an ability to grasp complex technical concepts.
• Proven track record of meeting or exceeding revenue targets in a fast-paced startup environment.
• Experience with outbound prospecting, qualifying leads, running demos, and closing deals is essential.
• Ability to uncover customer pain points, articulate value propositions, and effectively address objections to drive solutions.
• Strong interpersonal skills to work cross-functionally with leadership, product, engineering, and marketing teams.
• Proficiency with HubSpot or a similar CRM to track activity, manage the sales pipeline, and ensure data integrity.
• Solid understanding and application of a sales methodology (e.g., MEDDIC, Challenger, or Sandler) with the ability to tailor approaches to different customer needs and scenarios.

Compensation

This role offers $300K OTE, with a 50/50 base/variable split, in addition to meaningful equity. 

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join Us! The GoFundMe Pro team is looking for a customer-obsessed, insights-driven, savvy Lead Product Marketing Manager (PMM) to shape the product experience, drive go-to-market strategy, and influence roadmap development across our nonprofit platform.

As the engine behind the majority of activity on our platform and one of our most powerful growth levers—this role is all about taking Direct Giving to the next level. You’ll own the go-to-market vision and drive adoption, shaping how we bring new capabilities to life for our customers.

Partnering across teams, you’ll lead end-to-end GTM strategy and execution, crafting standout positioning, sharpening our competitive edge, and launching with impact. Your work will directly fuel customer success, platform growth, and revenue, making this a high-visibility role with real influence on GoFundMe’s future.

You’ll be a strategic thought partner to Product, Design, Sales, and Customer Success—bringing the voice of the customer, sharp market insights, and performance data to shape what we build and how we win.

You’ll define how we show up in a competitive nonprofit tech landscape, crafting positioning that cuts through—and equipping our teams with what they need to drive adoption, expansion, and lasting customer impact.

Candidates considered for this role will be located in the San Francisco, Bay Area. There will be an in-office requirement of 2-3x a week.

The Job

Go-to-Market Strategy & Execution

• Lead end-to-end go-to-market strategy and execution for key product areas, with a primary focus on Direct Giving
• Drive cross-functional alignment across Product, Growth, Sales, and Customer Success on priorities, launch plans, and success metrics
• Lead tiered GTM strategies from early ideation through launch and post-launch analysis
• Partner with Product to influence roadmap prioritization using qualitative and quantitative insights
• Collaborate with Growth, Demand Gen, Sales, and Customer Success to execute integrated campaigns across both product-led and sales-led motions
• Own internal and external product communications and enablement, including development of launch briefs, sales talk tracks, FAQs, newsletters, and other core GTM assets.

Positioning, Messaging & Competitive Strategy

• Own positioning and messaging across the GoFundMe Pro platform, ensuring strong differentiation in a competitive landscape
• Define and evolve Direct Giving narratives to drive awareness, adoption, and revenue growth
• Tailor messaging to nonprofit personas (executive directors, development leaders, finance, and operations teams)
• Ensure consistency across product surfaces, marketing campaigns, sales enablement materials, and customer communications
• Develop and operationalize competitive insights and enablement

Experimentation & Early Access Programs

• Own early access programs to support product validation and GTM readiness:
• Drive structured feedback loops
• Test positioning, messaging, and rollout strategy
• Partner with CX, Sales, and customer-facing teams to recruit target participants
• Standardize communications and improve rollout consistency and internal expectations
• Evolve and optimize the research hub and expand its GTM impact over time

Cross-Functional Alignment

• Serve as the glue across Product, Sales, Customer Success, Growth, and Marketing 
• Drive alignment on PMM priorities, key launches, performance against goals, competitive insights, and roadmap implications–ensuring shared clarity on what we’re building, why it matters, and how success is defined and measured
• Create executive-ready narratives and materials to drive clarity and decision-making at the leadership level

PMM Impact & Growth Insights

• Identify gaps in activation, retention, expansion, and product adoption
• Translate insights into clear, actionable GTM and product recommendations
• Measure launch and GTM effectiveness, continuously iterating to improve performance
• Drive clarity on performance, opportunities, and where to invest next

You

• 6–10 years of B2B Product Marketing experience, ideally in SaaS or hybrid PLG + sales-led environments.
• Experience marketing to nonprofit, mission-driven, or vertical SaaS audiences is a strong plus.
• Proven success leading cross-functional go-to-market initiatives for complex product launches.
• Strong positioning and writing skills. You translate complexity into clarity and resonance.
• Analytical and data-driven, with experience defining success metrics and measuring impact.
• Comfortable navigating ambiguity in a fast-paced, evolving environment.
• Experienced in executive-level communication and presentation
• Familiarity with tools like ClickUp, Figma, Salesforce, Amplitude, and competitive intelligence platforms (Crayon/Klue) is a plus.

Why you’ll love it here

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.

Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere

Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.

Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.

Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.

Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.

Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.

Community Engagement: Make a difference through our volunteering and Gives Back programs.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

The total annual salary for this full-time position is  $155,500 - $233,500 + equity + benefits.  Our salary ranges are determined by role, level, and location. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

What we do

We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. 

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: 

1. Environments for Software Engineering / coding agents 
2. UI-Environments for Computer-Use/Browser-Use agents 
3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications.

The Role

We are looking for a Frontier Data Lead – RL to own the end-to-end lifecycle of RL environment projects, spanning environment design, task generation, reward/verifier design, quality, and delivery to frontier AI labs and enterprise clients. 

This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and build RL environments specific to their needs. You will lead teams of engineers, subject matter experts (e.g. Finance expert, if you’re building an RL environment for investment banking workflows), researchers, and data ops teammates to achieve this.

What You’ll Do 

• End-to-End Ownership: Lead RL Environment projects end-to-end for one or more clients, ensuring the environment you and your team create matches the client’s spec, surpasses quality expectations, and is delivered on time. 
• Data Quality: Ensure the RL environments you produce, the data that goes into those environments, and the the data generated from them (e.g. agent trajectories and reward scores) meet frontier standards for realism, difficulty, diversity. 
• Team building and enablement: Work with your Ops counterparts to build the team of full-stack engineers, back-end engineers, domain experts, QAs, data creators, reviewers, and others you’ll need to deliver the environment on time. You’ll interview, hire, onboard, train, retain talent for your team 
• Process Leadership: Set the process that each of the above team members follows to generate environment code, database schemas, seed data, tasks, and verifiers; set up quality rubrics, automated validation scripts, and human-in-the-loop review processes for every aspect of the environment and data for the environment.
• Customer Interaction: Own customer relationships for your RL Environment project(s), and act as the primary point of contact for leading AI labs, providing regular updates, asking for feedback, and identifying opportunities to grow project scope and revenue. 
• Sales & Solutioning: participate in client solutioning conversations alongside our sales teammates; understand the needs of researchers at AI labs, translate those needs into environment goals 
• Evals & Post-training: Demonstrate proof of value for your environments by running inhouse RL fine tuning experiments to measure model performance lifts on agent trajectories; or by producing eval reports of frontier models on your environment and tasks

Who We’re Looking For

• RL & Post-training experience: familiarity with RL fine tuning, verifier/reward design, and/or environment design 
• Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.
• Systems thinking + Database/API design: ability to ‘simulate’ the data schema and API interface of a consumer or business application 
• Hands-on technical capability: willing to write code along with the team you’re managing; Python and SQL experience preferred 
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects. 
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams. 
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing 

•  Work directly with the world’s leading AI labs and enterprises at the cutting edge of RL environment design and post-training. 
• Real impact: your environments will be used to evaluate and train frontier models on GDP-moving tasks across real-world domains 
• Talent-dense team, where you'll find high autonomy, rapid iteration, and rapid learning curve

Compensation: $250,000 to $350,000 OTE + Equity

What we do

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. 

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: 

1. Environments for Software Engineering / coding agents 
2. UI-Environments for Computer-Use/Browser-Use agents 
3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications.

The Role

We are looking for a Principal Research Engineer – RL to own the end-to-end lifecycle of RL environment projects, spanning environment design, task generation, reward/verifier design, quality, and delivery to frontier AI labs and enterprise clients. 

This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and build RL environments specific to their needs. You will lead teams of engineers, subject matter experts (e.g. Finance expert, if you’re building an RL environment for investment banking workflows), researchers, and data ops teammates to achieve this.

What You’ll Do 

• End-to-End Ownership: Lead RL Environment projects end-to-end for one or more clients, ensuring the environment you and your team create matches the client’s spec, surpasses quality expectations, and is delivered on time. 
• Data Quality: Ensure the RL environments you produce, the data that goes into those environments, and the the data generated from them (e.g. agent trajectories and reward scores) meet frontier standards for realism, difficulty, diversity. 
• Team building and enablement: Work with your Ops counterparts to build the team of full-stack engineers, back-end engineers, domain experts, QAs, data creators, reviewers, and others you’ll need to deliver the environment on time. You’ll interview, hire, onboard, train, retain talent for your team 
• Process Leadership: Set the process that each of the above team members follows to generate environment code, database schemas, seed data, tasks, and verifiers; set up quality rubrics, automated validation scripts, and human-in-the-loop review processes for every aspect of the environment and data for the environment.
• Customer Interaction: Own customer relationships for your RL Environment project(s), and act as the primary point of contact for leading AI labs, providing regular updates, asking for feedback, and identifying opportunities to grow project scope and revenue. 
• Sales & Solutioning: participate in client solutioning conversations alongside our sales teammates; understand the needs of researchers at AI labs, translate those needs into environment goals 
• Evals & Post-training: Demonstrate proof of value for your environments by running inhouse RL fine tuning experiments to measure model performance lifts on agent trajectories; or by producing eval reports of frontier models on your environment and tasks

Who We’re Looking For

• RL & Post-training experience: familiarity with RL fine tuning, verifier/reward design, and/or environment design 
• Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.
• Systems thinking + Database/API design: ability to ‘simulate’ the data schema and API interface of a consumer or business application 
• Hands-on technical capability: willing to write code along with the team you’re managing; Python and SQL experience preferred 
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects. 
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams. 
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing 

•  Work directly with the world’s leading AI labs and enterprises at the cutting edge of RL environment design and post-training. 
• Real impact: your environments will be used to evaluate and train frontier models on GDP-moving tasks across real-world domains 
• Talent-dense team, where you'll find high autonomy, rapid iteration, and rapid learning curve

Compensation: $250,000 to $350,000 OTE + Equity

The Role

We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. 

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: 

1. Environments for Software Engineering / coding agents 
2. UI-Environments for Computer-Use/Browser-Use agents 
3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications

The Frontier Data Lead – Code will own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs in the domain of coding agents and software engineering. This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and interface directly with researchers / engineers at those labs to understand their needs and build data offerings to address those needs. To achieve this, you will build and manage teams of software engineers, researchers, QAs, and contractors/data-annotators from Turing’s talent pool of 4M+ developers.  

You’ll be responsible for delivering projects at frontier quality and scale—owning data quality, throughput, and timely delivery. You’ll define and manage data pipelines, validation workflows, and review processes to ensure datasets meet the highest standards for realism, correctness, and diversity. You’ll also develop automations, synthetic data generation systems, and internal tools to scale production efficiently. 

In short, you’ll run your project like a startup within Turing, owning both the technical architecture and the operational execution required to produce best-in-class datasets/environments/evals to make the world’s best coding agents and models even better at real-world coding tasks across the software development lifecycle.

What you’ll do

1. End-to-End Ownership: Data Quality, Process Design, and Team Building

• Lead the creation of datasets, rl environments, and evals focused on Coding Agents / Software Engineering for one or more AI lab customers.
• Ensure that everything you ship to clients meets frontier standards for realism, correctness, diversity, and difficulty.
• Set up quality rubrics, automated validation scripts, and human review processes for every stage of data generation.
• Build and lead cross-functional teams of software engineers, researchers, QAs, and data creators drawn from Turing’s 4M+ developer network.
• Interview, onboard, train, and mentor team members to ensure consistent output quality and technical excellence.

2. Collaborate with Researchers at Frontier Labs

• Act as the primary technical point of contact for your customer projects, interfacing directly with researchers and engineers at frontier AI labs to understand their coding agent roadmap and model data needs, to gather feedback, and to co-define success criteria for your projects.
• Provide regular progress updates, surface insights from model evaluations, and incorporate client feedback to improve future iterations.

3. Drive Research, Sales Enablement, and Industry Thought Leadership

• Fine-tune models in-house on Turing-generated datasets or Turing-rl-environment generated trajectories to determine model improvement as a proof of data quality
• Proactively build benchmarks and run evals on frontier models and coding agents to identify strengths and weaknesses on SWE tasks, and leverage these insights to inform product roadmap
• Equip customer-facing teams with the Evaluation reports, sample datasets, and trainings to enable them to communicate your data offerings to customers most effectively
• Publish research papers and technical posts on Turing’s data products, innovations in our synthetic data generation / automation pipelines, evaluations of frontier agents and models, and Turing’s model fine-tuning results on our datasets.

4. Build Tools and Infrastructure

• Oversee development of internal tools that accelerate data generation and verification (e.g., automated data scraping pipelines, unit test generators, repo sandboxing).
• Design dashboards and APIs for customers to run model evals, view performance reports, and integrate Turing data directly into their post-training pipelines.

What we’re looking for

• Post-training experience on SWE tasks or experience building coding agents: We expect that you have a deep understanding of data ingredients and design principles that lead to measurable coding model improvements, either from fine-tuning models to improve SWE capabilities or building your own coding agents to improve upon SWE capabilities of the base model.
• Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.Hands-on technical capability: Fluency in Python and proficiency in one or more major languages (C++, Java, Go, Rust, or JS).
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects.
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams.
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing

• Work directly with the world’s leading AI labs and enterprises at the cutting edge of post-training and RL environment design.
• Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence. Coding is the core reasoning substrate of intelligence—advancing models’ ability to understand, design, and write code is effectively advancing their capacity for logic, planning, and abstract thought.
• Real Impact (GDP): automating software engineering unlocks one of the largest productivity frontiers in history. The software engineering market represents trillions in global GDP, and every percentage gain in automation translates to profound efficiency and innovation benefits across all industries.
• Talent-dense team, where you'll find high autonomy, rapid iteration, and an exceptional learning curve.

Compensation: $250,000 to $350,000 OTE + Equity

The Role

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. 

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: 

1. Environments for Software Engineering / coding agents 
2. UI-Environments for Computer-Use/Browser-Use agents 
3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications

The Staff Research Engineer – Code will own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs in the domain of coding agents and software engineering. This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and interface directly with researchers / engineers at those labs to understand their needs and build data offerings to address those needs. To achieve this, you will build and manage teams of software engineers, researchers, QAs, and contractors/data-annotators from Turing’s talent pool of 4M+ developers.  

You’ll be responsible for delivering projects at frontier quality and scale—owning data quality, throughput, and timely delivery. You’ll define and manage data pipelines, validation workflows, and review processes to ensure datasets meet the highest standards for realism, correctness, and diversity. You’ll also develop automations, synthetic data generation systems, and internal tools to scale production efficiently. 

In short, you’ll run your project like a startup within Turing, owning both the technical architecture and the operational execution required to produce best-in-class datasets/environments/evals to make the world’s best coding agents and models even better at real-world coding tasks across the software development lifecycle.

What you’ll do

1. End-to-End Ownership: Data Quality, Process Design, and Team Building

• Lead the creation of datasets, rl environments, and evals focused on Coding Agents / Software Engineering for one or more AI lab customers.
• Ensure that everything you ship to clients meets frontier standards for realism, correctness, diversity, and difficulty.
• Set up quality rubrics, automated validation scripts, and human review processes for every stage of data generation.
• Build and lead cross-functional teams of software engineers, researchers, QAs, and data creators drawn from Turing’s 4M+ developer network.
• Interview, onboard, train, and mentor team members to ensure consistent output quality and technical excellence.

2. Collaborate with Researchers at Frontier Labs

• Act as the primary technical point of contact for your customer projects, interfacing directly with researchers and engineers at frontier AI labs to understand their coding agent roadmap and model data needs, to gather feedback, and to co-define success criteria for your projects.
• Provide regular progress updates, surface insights from model evaluations, and incorporate client feedback to improve future iterations.

3. Drive Research, Sales Enablement, and Industry Thought Leadership

• Fine-tune models in-house on Turing-generated datasets or Turing-rl-environment generated trajectories to determine model improvement as a proof of data quality
• Proactively build benchmarks and run evals on frontier models and coding agents to identify strengths and weaknesses on SWE tasks, and leverage these insights to inform product roadmap
• Equip customer-facing teams with the Evaluation reports, sample datasets, and trainings to enable them to communicate your data offerings to customers most effectively
• Publish research papers and technical posts on Turing’s data products, innovations in our synthetic data generation / automation pipelines, evaluations of frontier agents and models, and Turing’s model fine-tuning results on our datasets.

4. Build Tools and Infrastructure

• Oversee development of internal tools that accelerate data generation and verification (e.g., automated data scraping pipelines, unit test generators, repo sandboxing).
• Design dashboards and APIs for customers to run model evals, view performance reports, and integrate Turing data directly into their post-training pipelines.

What we’re looking for

• Post-training experience on SWE tasks or experience building coding agents: We expect that you have a deep understanding of data ingredients and design principles that lead to measurable coding model improvements, either from fine-tuning models to improve SWE capabilities or building your own coding agents to improve upon SWE capabilities of the base model.
• Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.Hands-on technical capability: Fluency in Python and proficiency in one or more major languages (C++, Java, Go, Rust, or JS).
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects.
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams.
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing

• Work directly with the world’s leading AI labs and enterprises at the cutting edge of post-training and RL environment design.
• Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence. Coding is the core reasoning substrate of intelligence—advancing models’ ability to understand, design, and write code is effectively advancing their capacity for logic, planning, and abstract thought.
• Real Impact (GDP): automating software engineering unlocks one of the largest productivity frontiers in history. The software engineering market represents trillions in global GDP, and every percentage gain in automation translates to profound efficiency and innovation benefits across all industries.
• Talent-dense team, where you'll find high autonomy, rapid iteration, and an exceptional learning curve.

Compensation: $250,000 to $350,000 OTE + Equity

About the role

At Applied Intuition, you will:

• Own product strategy for DroneStack. Define the roadmap that transitions the team from program-driven deliveries to a scalable, multi-customer product line. Make hard prioritization calls across ISR, strike, hardware, and tooling.
• Become the voice of the operator. Conduct primary user research — in the field, at bases, and with international partners — to deeply understand how operators plan, execute, and debrief autonomous missions. Travel up to 20% of the time, including internationally.
• Drive the programs-to-products transition. Identify the patterns across current customer engagements and define the abstractions, configurations, and interfaces that turn one-off solutions into repeatable products.
• Shape product design and experience. Work with engineering to design operator interfaces (mission control, mission planning, mission review) that are intuitive enough for non-technical users to operate without engineering support in the field.
• Set the technical direction with engineering. Partner with the engineering manager and technical leads to balance near-term delivery commitments with long-term product architecture. You don't need to write the code, but you need to understand the system well enough to make informed tradeoffs.
• Build and communicate a market thesis. Develop a point of view on where the autonomous drone market is heading — across DoD service branches, allied nations, and commercial applications — and position Applied Intuition to capture it.
• Represent the product internally and externally. Be the connective tissue between DroneStack engineering, Applied Intuition's defense business development team, and customers. Present at demos, program reviews, and industry events.

We're looking for someone who has:

• 5–7 years of product management experience across at least two meaningfully different environments (different industries, product types, company stages, or customer segments). We value breadth and adaptability over narrow specialization.
• A track record of shipping products, not just features. You've owned a product end-to-end — from research and strategy through design, build, launch, and iteration. You've made the hard calls about what not to build.
• Exceptional research instincts. You know how to learn a market from scratch: talking to users, studying workflows, reading doctrine, attending field exercises, and synthesizing what you find into actionable product direction. You've done this at least once in a domain that was new to you.
• Comfort with deep technical systems. You don't need a background in autonomy, robotics, or aerospace — but you should have experience working on technically complex products (hardware + software, real-time systems, developer tools, infrastructure, etc.) and be energized by learning how things work at a systems level.
• Strong design sensibility. You care about how products feel to use, not just what they do. You've collaborated closely with designers or driven UX decisions yourself, particularly for workflow-heavy or operations-focused tools.
• Clear, structured communication. You can write a crisp product brief, present a strategy to senior leadership, and run a productive design review with engineers. You tailor your communication to the audience — whether that's a general officer or a software engineer.
• BS/BA degree in a technical or analytical field (Computer Science, Engineering, Physics, Mathematics, Economics, or similar). Advanced degrees are welcome but not required.

Nice to have:

• Experience with defense or government customers, even outside of autonomy (understanding of acquisition cycles, program structures, or operational environments)
• Experience working on products that span hardware and software
• Prior work at an early-stage or high-growth company where you wore multiple hats
• Exposure to international markets or customers
• Experience founding a company or leading a 0-to-1 product initiative

Security Requirements:

• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance

For more information about U.S. security clearances: click here.

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $150,000 - $220,000 USD annually. 

Position

Eikon Therapeutics is seeking its first Senior Director, SEC Reporting & SOX to lead and scale the company’s external reporting, internal controls and technical accounting. This highly visible role will set strategy, vision, and direction for SEC reporting, SOX compliance, and financial governance, translating company objectives into scalable, cross-functional execution. The Senior Director will serve as a trusted advisor to executive leadership, anticipating regulatory and market factors that may impact the company’s position over the long term. This role requires the ability to operate autonomously, make decisions with multi-year impact, and coordinate simultaneous initiatives across the organization.

About You

You are a strategic, hands-on leader with deep expertise in SEC reporting, SOX and technical accounting who thrives in evolving, high-growth environments. You are comfortable working with abstract concepts and ambiguity, and you translate complexity into clear strategy and execution. You bring sound judgment and understand that decisions in this role may have long-term implications for the company’s success. You are expected to partner with leaders cross-functionally and at varying levels within the company to better understand departmental operations and controls. You are a collaborative and influential partner who communicates with credibility and confidence, effectively engaging executive leadership and external stakeholders. You enjoy implementing systems, and scalable processes, and balance rigor and compliance with pragmatism appropriate to the company’s stage.

What You'll Do

• Lead the company’s SEC reporting strategy and execution, including preparation and review of Forms 10-K, 10-Q, 8-K, proxy statements and other required filings, ensuring accuracy, completeness, and timeliness.
• Coordinate with internal teams such as Legal, FP&A, and Stock Administration to collect required data for disclosures.
• Serve as a key point of contact for external auditors by providing support schedules, documentation, and responses during audits and reviews.
• Prepare and review external reporting components tied to the close process, including cash flow statements, equity, and share based compensation.
• Establish, implement, and continuously evolve a Sarbanes-Oxley (SOX) compliance framework, including risk assessment, control design, documentation, testing, remediation, and optimization as the company scales.
• Develop and implement company-wide policies, practices, and governance structures related to financial reporting and internal controls, ensuring alignment with regulatory requirements and business needs.
• Execute the company’s SOX compliance program and assist with conducting audits of select operational, information technology, and compliance processes in timely manner.
• Act as a strategic partner to executive leadership, providing insight, guidance, and influence on financial reporting, compliance, and risk management matters.
• Serve as a technical accounting expert – proactively evaluate complex transactions and provide technical accounting guidance and disclosure recommendations, ensuring compliance with US GAAP and SEC reporting requirements.
• Anticipate regulatory, operational, and organizational factors that could influence reporting strategy and company positioning, and proactively recommend solutions.
• Stay current on FASB and SEC pronouncements and interpret impact to the company in partnership with internal partners and external auditors and identify, research, and prepare technical memoranda for complex transactions.
• Partner cross-functionally with Accounting, FP&A, Legal, IT, Internal Audit, and external auditors and advisors to ensure cohesive execution and shared ownership of outcomes.
• Lead, mentor, and develop the SEC reporting and SOX organization, directly or through subordinate leaders, fostering high performance and continuous improvement.
• Oversee external audit relationships and third-party advisors, ensuring effective coordination and high-quality deliverables.
• Drive initiatives that solve company-wide, cross-functional challenges, balancing speed, accuracy, and long-term sustainability.

Qualifications

• Bachelor's degree with 15+ years of experience or a post-graduate degree in Finance and Accounting.
• 12+ years of experience in public accounting and/or related industry experience.
• 6+ years with a technical accounting focus; deep technical proficiency across various areas of US GAAP and ability to research independently.
• Extensive experience leading SEC reporting and SOX compliance in a public or recently public company; biotech or life sciences experience strongly preferred.
• Proven track record of working with abstract, complex issues and translating them into actionable strategy and execution.
• Strong understanding of US GAAP, SEC regulations, SOX, and internal control frameworks.
• Experience building and scaling teams, systems, and processes in high-growth, evolving environments.
• Exceptional communication, influence, and negotiation skills, with the ability to partner effectively with executive leadership and external stakeholders.
• Sound judgment and decision-making skills, recognizing that actions and recommendations may have long-term impact on the company’s success.
• Experience with SAP S4/Hana and ActiveDisclosure preferred.
• CPA, CIA or similar certification preferred.

At Eikon, employee compensation also includes bonus and equity compensation, in addition to several generous benefit programs, including:​

• 401k plan with company matching​
• Medical (premiums covered by Eikon at 95%), dental and vision insurance (premiums covered by Eikon at 100%)​
• Mental health and wellness benefits​
• Weeklong summer and winter holiday shutdowns​
• Generous paid time off and holiday policies​
• Life/AD&D Insurance (premiums covered by Eikon at 100%) and optional supplemental employee-paid life/AD&D policies ​
• Enhanced parental leave benefit​
• Daily subsidized lunch program when on-site​

The expected salary range for this role is $235,000 to $256,500 depending on skills, competency, and the market demand for your expertise.

About the role

As a Finance team member, you will have a key role in developing and shaping Flex’s business and financial strategy. You will be joining the Strategic Finance team, a group of business experts who own predictability, promote ROI maximization and serve as connective tissue between internal business operations, external perspectives and key strategic decisioning. In this role, you’ll work closely with our teams to bring business model expertise, financial prowess and analytical firepower to key strategic guidance and problem solving.

This is a hybrid position with on-site expectations of 3 days per week in our New York or San Francisco Headquarters. For candidates outside of the NY/NJ/SF area, you may be eligible for our relocation assistance program.

What you’ll do

• Operate as a thinker and doer across our teams, supporting strategic alignment, financial modeling and data analysis
• Develop frameworks and processes to optimize resource allocation decisions
• Create and operate financial forecasting tools and operating models, partnering across the business and the rest of the Strategic Finance team to maximize predictability
• Support the creation of metrics, reporting, forecasting and performance targets to ensure alignment between strategy, data and measurement
• Help create a sophisticated understanding of unit economics to drive high ROI decision making 
• Efficiently lead research gathering and data analysis to support problem-solving across functional areas
• Develop, deliver, and maintain insightful reporting on KPIs, growth trends and operational metrics to key internal and external stakeholders
• Build clear communication and influence decision-making within groups and leadership audiences

Key qualifications

• Financial modeling wizardry and a deep understanding of fintech and/or financial services business models
• 5+ years of strategic finance, FP&A, biz ops, consulting or investment banking experience required
• Direct experience with operations or strategy at high-growth tech company preferred
• A Bachelor's Degree, or equivalent degree in Business, Finance, Accounting or relevant field
• Highly analytical and interested in complex data analysis
• Superior communication skills and the ability to collaborate with all levels of an organization
• Advanced Microsoft Excel, Word, and PowerPoint skills required
• Experience with databases, SQL and BI tools a plus

Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 markets (NYC/ SF), the base salary pay range for this role is $172,000—$215,000 USD. For all other U.S. locations, Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the Tier 1 states listed above, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location.

Sales at Brex

The Sales team is the driving factor behind revenue for Brex and every member of our team directly affects our bottom line. We focus on generating new opportunities, acquiring new customers, and building even stronger relationships with our current customers. Our winning culture recognizes big team wins and celebrates individual accomplishments. We ensure that top performers are recognized and have built a competitive environment to motivate and unify the team.

What you’ll do

As an Enterprise Account Executive, you will be a part of a critical sales team at Brex focused on expanding our reach into the Enterprise segment. This team is tasked with hunting large, strategic, global new clients for Brex and communicating the value of our industry leading Financial Operating System (Corporate Credit Card, Expense Management, Procurement, Travel, etc.) If you enjoy working in a creative, competitive environment while helping customers accelerate their growth, this role is for you!

Where you'll work

This role will be based in our SF office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Deal Cycle Management: Leverage your personal network alongside strategic, creative prospecting methods in order to identify decision makers and break into Enterprise customers. Own full sales cycle including everything from prospecting, discovery, demo, deal administration, and closing
• Pipeline Management: Act with urgency to build and manage a robust Enterprise sales pipeline, ensuring a steady flow of qualified leads and opportunities. Proactively organize and autonomously prioritize opportunities at different stages of the funnel
• Value Selling: Expertly articulate the unique value proposition of Brex’s products and services, utilizing strategic thinking to align solutions with customer needs and solve complex business challenges. Leverage case studies, competitive intel, and independent research to position Brex as a premier product 
• Problem Solving: Act as a trusted advisor to customers, addressing their pain points and delivering innovative solutions that drive business growth/value. Adapt and thrive in ambiguity regardless of customer size or industry
• Cross-Functional Collaboration: Collaborate effectively with cross-functional teams including Sales Development, Product, Legal, Deal Desk, Underwriting, and Pre-Sales to ensure a seamless customer experience. Quickly create impactful change to our product by communicating customer needs and pain points and drive alignment internally

Requirements

• 6+ years of B2B SAAS closing experience in a net-new logo acquisition environment
• Experience closing deals with F1000 customers and Large Enterprise Organizations with a minimum 1,000 global employee base
• Familiarity selling SAAS products/solutions and effectively communicating the value/ROI
• Consistent quota attainment and track record of being a top 10% performer
• Ability to independently conduct a product demo 
• Bachelor’s degree 

Bonus points

• Familiarity selling financial software (Expense Management, ERP, AP Automation, T&E, Accounting Software, etc.)

Compensation

The expected OTE range for this role in SF, NYC, SEA, is $294,000 - $325,000. The expected OTE range for this role in SLC is $200,000 - $240,000. The starting wage will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. The OTE figure listed here includes base salary and commissions, which may or may not be earned depending on performance.  Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

We are seeking a high-impact Staff Data Scientist to play a leading role on our data needs to bridge the gap between advanced research and production-grade ML systems. You will be a key technical leader and partner to our Research Scientists, driving the evolution of our AI algorithms through rigorous data science methodologies, strategic data curation, and cross-functional leadership.

Job Responsibilities:

• Vision & Cross-Functional Leadership: Engage with cross-functional teams (Product, Research, Engineering, and Process Engineering) and help guide the overarching vision for data analysis, curation, and annotation to improve our AI models. Drive the definition of algorithm and data requirements necessary to deliver on end-point objectives.
• Data Campaigns and Annotation Strategy: Introduce best practices and efficient processes to enable multiple, large-scale annotation campaigns for continuous AI product improvements. Spearhead the strategic design of data campaigns needed to advance AI algorithms.
• Advanced Data Curation & Management: Develop comprehensive data curation strategies for improvements to AI models. Partner with MLOps to architect data management systems for algorithm training and performance validation, and establish data dashboards and monitoring reports.
• Performance Evaluation and Statistical Analysis: Establish frameworks and develop tools to rigorously evaluate the strengths and weaknesses of model iterations across patient populations. Design and oversee data analyses using statistical techniques to illuminate the performance of our AI algorithms.

Required Qualifications:  

• Education: Masters or PhD Degree in Engineering, Computer Science, Statistics, Data Science or related degree.
• Work Experience: 7+ years (or 5+ with PhD) of proven track record in Data Science, Machine Learning, Computer Vision, or Image Analysis in industry. Have a wealth of experience from working on complex, real-world AI problems in medical imaging or computer vision requiring careful consideration of data needs.
• Software: Proficient in Python, including statistical and machine learning packages (e.g. scipy, sklearn, statsmodels, seaborn) with a commitment to writing clean, reproducible and scalable code. Familiarity with image and 3D processing tools like VTK and ITK, and visualization tools like 3DSlicer and MITK, a plus.
• Statistics: Understanding of standard statistical techniques and ability to apply appropriate statistical methods to a range of data structures; experience with medical imaging data a plus.
• Data Management: Experience working with data lakes, SQL/No SQL Databases, AWS Cloud Storage, Tableau dashboards.
• AI & Medical Imaging: Expertise in deep learning and machine learning models in production. Strong experience working with medical imaging data (CT and vascular imaging) is highly preferred.
• (Preferred) Proficiency in Agentic AI Tools: Experience integrating generative AI and agentic tools into daily workflows to act as a force multiplier—accelerating coding, prototyping, and complex data analysis—while demonstrating the critical judgment required to rigorously evaluate AI outputs for accuracy.
• Communication: Excellent written and verbal communication. Detail orientated but able to describe complex topics in a manner that is digestible to a broad audience. Ability to distill complex analyses into interpretable and actionable findings.
• Commitment: Committed to the success of the team and successful completion of project - 75% confidence / 100% committed.
• Influence without Authority: Able to build trust and obtain cross-functional alignment across departments.

A reasonable estimate of the base salary compensation range is $220,000 to $280,000, bonus, and equity. #LI-IB1 #LI-Hybrid

What You’ll Do

The Total Rewards team seeks an innovative Compensation Partner to support the analytics, administration, and implementation of our compensation philosophy and strategy. You will manage multiple projects, provide data‑driven insights, and partner with stakeholders to solve compensation challenges.

Location: Daily onsite presence at our Headquarters in San Jose, CA  in alignment with our Flexible Work policy

Reports to: Director Compensation

Key Responsibilities

• Key Responsibility:

  • Compensation Strategy & Advisory
    • Act as a trusted strategic partner to HR Business Partners, Talent Acquisition, and business leaders, providing data‑driven guidance to address compensation-related issues and provide solutions that support business goals.
    • Build and maintain strong relationships with cross-functional partners and gains a deep understanding of the talent within the assigned Business Units.
  • Market Benchmarking & Analysis
    • Conduct competitive benchmarking, market pricing, and job evaluation activities.
    • Perform pay competitiveness analyses; manage the benchmarking process to ensure programs stay competitive and equitable.
    • Translate market data and internal insights into clear, actionable recommendations.
    • Have genuine interest to leverage AI to automate and optimize
  • Annual Compensation Program Management
    • Manage one or more annual compensation processes, from development through complete execution, including salary review, short/long-term bonus planning and promotions.
    • Build robust data models, reporting dashboards, governance tools and executive-ready review summary to support each planning cycle.
    • Support the design and evolution of compensation programs, including salary structures, short-term and long-term incentive plans.
  • Compensation Systems Ownership
    • Be heavily involved in system configuration and testing for HRMS compensation related processes
    • Partner with HRMS Specialist, translating strategy and vision into system design and workflows, ensuring data integrity, scalable and sustainable design, and excellent user experience.
  • Communication & Stakeholder Management
    • Contributing to the implementation and communication of compensation policies and practices. Create clear communication materials and training sessions to educate managers and internal partners on compensation policies and programs.
    • Act as a consultant on policy design, ensuring fairness, equity, and compliance across all programs.

What You Bring

• 6+ years of relevant experience in compensation analysis and/or program design.
• Proven track record in conducting compensation benchmarking, salary structure design and bonus/incentive planning
• Strong understanding of broad-based compensation programs
• Demonstrated expertise in leading/managing/administering companywide annual compensation programs
• Demonstrated experience collaborating closely with HRBPs, Talent Acquisition, Finance, and business leaders
• Advanced Excel modeling, scenario analysis and data visualization skills. Ability to handle large, complex data set and translate complex data into clear, actionable insights for diverse audiences, including senior leadership
• Hands‑on experience with HRIS (Workday, etc.); Workday experience is a strong plus
• Flexible, proactive, comfortable with ambiguity with ability to thrive in a fast-paced environment
• Strong written, verbal, and presentation skills
• Impeccable level of discretion, confidentiality and attention to details

About the Role
We are seeking an experienced research engineer to join our team. As a critical member of our interdisciplinary group, you will collaborate closely with AI scientists, engineers, and drug discovery experts to develop and deploy AI models that accelerate the identification and development of novel therapeutics. This role offers the opportunity to apply cutting-edge AI techniques in production settings to address pressing challenges in healthcare and contribute to improving human health globally.

We are particularly interested in candidates who have demonstrated experience building and delivering machine learning systems in industry environments, where rigor, scalability, and cross-functional collaboration are essential. The ideal candidate has experience translating research ideas into robust, production-ready solutions that drive measurable impact.

The role is open to the following locations: San Francisco Bay Area, Seattle

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related fields; advanced degree preferred
• Minimum of five years of industry experience in AI, machine learning, or related roles, with a track record of implementing, scaling, and deploying AI models in production environments.
• Expertise with modern deep learning toolchains and experience with large scale model training.
• Strong understanding of deep learning fundamentals.
• Excellent problem-solving skills, with a keen eye for detail and a passion for tackling complex challenges in the life sciences.
• Effective communication and collaboration abilities, with the capacity to work effectively in a fast-paced, multidisciplinary team environment.
• Publication track record at conferences such as NeurIPS, ICML, or ICLR is a plus, though demonstrated industry impact is prioritized
• If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply!

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $190,000 - $280,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

• Develop multimodal foundation models spanning image and molecular data
• Design approaches that unify representation learning and generative modeling
• Train large-scale models on structured, high-dimensional datasets
• Explore cross-modal alignment, prediction, and generation
• Build scalable systems for data processing, training, and evaluation
• Work in a research-driven environment with evolving problem definitions

• Experience with representation learning (self-supervised, contrastive, masked modeling, etc.)
• Experience with generative modeling (diffusion, autoregressive models, VAEs, or related approaches)
• Proficiency in Python, ML frameworks, and CI/CD (PyTorch, JAX, etc.)

• Work on multimodal learning or cross-domain representation learning
• Experience with image data, molecular / omics-like data, or both
• Familiarity with large-scale training

• Exposure to biological or scientific datasets
• Experience with paired or partially aligned multimodal data
• Comfortable working in open-ended, evolving problem spaces

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $170,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
We are seeking a Biomedical AI Engineer to design and deploy agentic AI systems that can reason over biomedical knowledge, plan multi-step analyses, and autonomously integrate diverse scientific data sources to accelerate therapeutic discovery.

This role goes beyond traditional LLM + RAG pipelines. You will build AI agents that can retrieve, synthesize, evaluate, and act on biomedical information across literature, omics datasets, and clinical records operating as intelligent systems embedded within discovery workflows.

Key Responsibilities

• Design and implement agentic AI architectures capable of multi-step reasoning, planning, and tool use in biomedical contexts.
• Develop LLM-based agents that dynamically retrieve, rank, and synthesize knowledge from scientific literature, knowledge graphs, omics datasets, and clinical data.
• Build memory and feedback mechanisms that allow agents to refine hypotheses, update context, and adapt to evolving data.
• Integrate external tools (analysis pipelines, simulation engines, statistical models, databases) into autonomous agent workflows.
• Architect scalable systems that combine structured and unstructured biomedical data within production-grade AI environments.
• Collaborate closely with computational biologists, translational scientists, and software engineers to embed agentic systems into real-world discovery pipelines.
• Evaluate robustness, reliability, and interpretability of autonomous systems in high-stakes biomedical settings.

Qualifications

• Degree in Computer Science, Machine Learning, Computational Biology, Biomedical Informatics, or related field.
• Strong hands-on experience with large language models, including fine-tuning, alignment, and structured prompting.
• Experience building agent-based systems or complex LLM orchestration frameworks (e.g., multi-agent systems, tool-using LLMs, planning modules).
• Proficiency in Python and modern ML frameworks (PyTorch, JAX, TensorFlow).
• Experience working with large-scale biomedical datasets (genomics, transcriptomics, clinical records, or scientific corpora).

Preferred

• Experience designing autonomous research assistants or AI systems that perform multi-step scientific reasoning.
• Familiarity with knowledge graphs, hybrid symbolic-neural systems, or multimodal foundation models.
• Understanding of privacy, security, and regulatory considerations in healthcare AI.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $190,000 - $280,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role

We are seeking a driven Scientist and experimentalist who combines strong hands-on molecular biology skills with a creative, critical, and builder-oriented mindset. This role is focused on assisting in the design, construction, and iteration of novel screening platforms and experimental workflows that enable biological discovery at scale.

The ideal candidate is a self-starter who enjoys working in ambiguous problem spaces, thinks deeply about experimental design, and takes ownership of turning early ideas into robust, reproducible systems. You will work collaboratively with other teams, including automation, engineering, and computation, to invent new ways of generating high-quality biological data.

Key Responsibilities

• Develop novel antibody screening technologies and experimental platforms, from early proof-of-concept through scalable, robust workflows
• Design, implement, and optimize screening assays, including biochemical, molecular, and cell-based readouts
• Assist multidisciplinary platform development efforts as a biochemical expert through microbial and mammalian cell line engineering (e.g. cloning, genome editing, expression optimization)
• Apply data-driven and critical thinking approaches to troubleshoot, refine, and improve workflows, enhancing throughput, robustness, and interpretability
• Clearly document experimental workflows, present results, and contribute to shared platform standards while maintaining flexibility for rapid exploration
• Collaborate closely with cross-functional partners (automation, engineering, computation) to integrate biology, data, and technology into cohesive systems

Required Qualifications

• PhD in Molecular Biology, Bioengineering, Biochemistry, or a related field with 1+ years of industry experience, or
  B.S. or M.S. with 8-10 years of relevant industry or applied research experience
• Prior work on platform, workflow, or method development, especially in exploratory or early-stage settings (see examples under Bonus Skills)
• Experience with antibody discovery and engineering workflows, including panning, enrichment, or display-based screening approaches
• Experience with assay development, optimization, and experimental troubleshooting
• Strong hands-on experience in molecular cloning and DNA manipulation
• Experience with cell-line engineering (e.g. E. coli, yeast, mammalian or related systems)
• Demonstrated ability to work independently, think critically, and drive conclusive experiments
• Strong organizational skills and attention to experimental detail

Preferred Qualifications

• Experience with functional antibody screening or protein–protein interaction assays
• Familiarity with high-throughput or semi-automated screening systems
• Experience working with data-rich experimental systems
• Comfort operating in fast-moving, collaborative, and partially undefined problem spaces

Nice to Have

Experience in one or more of the following areas would be a plus:

• Spatial biology technologies (e.g. spatial transcriptomics, in situ or imaging-based assays)
• Single-cell technologies, including single-cell sequencing or high-content single-cell assays
• Microarray-based assays or other multiplexed screening formats
• Microfluidics, particularly for screening, assay miniaturization, or single-cell applications
• High-content imaging or phenotypic screening
• Experience studying or manipulating cell-internal signaling pathways (e.g. receptor signaling, transcriptional regulation, immune signaling, stress responses, or related pathways)
• Protein expression, secretion, or trafficking assays

Compensation: Annual

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $110,000 - $138,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role

The Senior Director, Project Management, will lead cross-functional execution of the company’s most complex scientific and platform initiatives, ensuring work across biology, computational science, protein design, and engineering teams progresses with clarity, alignment, and momentum.Working closely with scientific and technical leadership, this individual translates strategic priorities into well-structured projects with clear scope, milestones, ownership, and dependencies. The role requires strong project management discipline combined with a product lens, helping teams prioritize work based on impact, define clear outcomes, and focus effort on the highest-value initiatives.Operating at the center of scientific, technical, and organizational execution, this leader brings structure to complex work while enabling teams to move quickly in a discovery-driven environment.

Key Responsibilities
Project Leadership

• Lead planning and execution of complex, cross-functional projects spanning research, computational science, protein design, and engineering teams
• Translate strategic priorities into clearly structured projects with defined scope, timelines, ownership, and success criteria
• Apply a product lens to project leadership, ensuring initiatives are prioritized based on impact, feasibility, and organizational goals
• Partner with scientific and technical leaders to define clear outcomes and success criteria rather than activity-based workstreams
• Manage scope intentionally, balancing scientific exploration with disciplined execution
• Identify risks early and implement mitigation strategies to maintain project momentum

Strategic Execution Partnership

• Partner with scientific and technical leadership to translate organizational priorities into executable project plans
• Help shape the sequencing of major initiatives to ensure resources are focused on the highest-impact work
• Provide leadership with clear visibility into progress, dependencies, and emerging execution risks across projects
• Frame execution progress, tradeoffs, and emerging risks in ways that enable leadership to make timely and informed decisions

Cross-Functional Alignment

• Align stakeholders across biology, computational science, protein design, and engineering teams around shared priorities and sequencing of work
• Coordinate interdependent projects across research and platform teams, ensuring work is sequenced appropriately and dependencies are clearly understood
• Identify points where progress in one initiative enables or constrains work in another, helping teams adjust plans accordingly
• Resolve cross-team bottlenecks and maintain forward momentum across projects

Project Operating Model

• Establish consistent project planning, tracking, and reporting practices across teams
• Introduce planning frameworks and decision rhythms that improve transparency and coordination
• Evaluate, select, and harmonize project management tools and platforms across the organization, ensuring teams operate with a consistent and scalable PM infrastructure
• Strengthen the organization’s ability to execute complex scientific and technical initiatives predictably

AI-Enabled Project Management

• Champion the integration of AI tools and workflows into project management practices, identifying opportunities to improve planning, tracking, risk identification, and reporting through intelligent automation
• Stay current on emerging AI capabilities relevant to PM operations and serve as an internal advocate for thoughtful, effective adoption across teams
• Partner with computational and engineering teams to ensure AI-driven initiatives are managed with appropriate rigor while leveraging AI to enhance the PM function itself

Team Leadership

• Build and develop a high-performing project management team as the organization grows
• Establish expectations for rigor, clarity, and accountability in project execution
• Mentor project managers to operate as strategic partners to scientific and technical leaders
• Define team structure, hiring priorities, and development pathways that scale with organizational growth
• Foster a culture of continuous improvement within the PM team, regularly evaluating and refining how the team operates

Core Capabilities

• Complex Project Execution - Demonstrated ability to lead large, cross-functional projects involving multiple stakeholders, dependencies, and evolving scientific priorities.
• Product-Oriented Thinking - Ability to approach project leadership with a product mindset—prioritizing work based on impact, defining clear outcomes, managing scope intentionally, and ensuring initiatives deliver meaningful value.
• Cross-Functional Leadership - Proven ability to align scientific, technical, and operational teams around shared priorities and drive execution through influence.
• Structured Planning and Risk Management - Strong capability in dependency mapping, risk identification, mitigation planning, and maintaining forward progress in complex environments.
• Executive Communication and Decision Framing - Ability to synthesize complex scientific and technical work into clear updates, priorities, and tradeoffs that support effective leadership decision-making.

Qualifications

• Bachelor’s degree required; advanced degree preferred (MBA, MS, PhD, or equivalent)
• 10+ years of experience leading complex cross-functional projects in biotech, TechBio, or similarly interdisciplinary environments where computational and experimental research intersect.
• Strong understanding of AI/ML-enabled biological research, with experience partnering closely with computational biology, protein design, biomedical AI, or research engineering teams.
• Experience working closely with scientific and engineering teams in research or platform settings
• Deep understanding of drug development processes, including preclinical through early clinical stages, with the ability to connect research and platform initiatives to the broader development continuum
• Demonstrated ability to bring structure and clarity to complex initiatives in fast-moving organizations
• Strong organizational, communication, and stakeholder alignment skills
• Proven ability to influence highly skilled teams without relying on formal authority
• Experience managing and developing high-performing teams

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $225,000 - $285,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Role Overview
The Senior Director, Supply Chain and Strategic Sourcing will lead and integrate Xaira’s supply chain, procurement, and contract governance functions, ensuring reliable access to the external partners, platforms, and services that support Research, Biomedical AI, Platform Engineering, and Corporate teams.

This role is responsible for establishing disciplined sourcing strategy, strengthening vendor management, building contract governance infrastructure, and ensuring operational continuity across critical suppliers and service providers. The individual will provide strategic oversight while elevating two existing functions, procurement and contracts, into a cohesive, scalable supply chain capability.

Operating at the intersection of research, technology infrastructure, and external partnerships, This role is responsible for bringing strategic focus to how Xaira engages its external partners, ensuring that sourcing, vendor, and contract decisions serve the company's mission, growth, and long-term goals

Key Responsibilities

Supply Chain Leadership

• Develop and lead overall supply chain strategy
• Ensure continuity, reliability, and risk mitigation across critical vendors and external partners
• Oversee vendor selection, onboarding, performance monitoring, and renewal planning
• Provide leadership with visibility into external dependencies and operational risk exposure
• Map and monitor critical vendor dependencies across research services, cloud infrastructure, data providers, and platform suppliers

Strategic Sourcing

• Guide category strategy development across cloud infrastructure, AI/ML platforms, research services, data providers, lab suppliers, and corporate systems
• Oversee competitive sourcing processes and major vendor negotiations
• Ensure cost discipline and long-term value across supplier relationships
• Partner with Finance to strengthen forecasting, budget alignment, and spend transparency

Contracts and Governance

• Oversee contract negotiation and execution standards across MSAs, SOWs, SaaS agreements, data licenses, and research vendor agreements.
• Ensure structured intake, review, and lifecycle management processes are followed
• Establish clear governance for renewals, amendments, and contractual obligations
• Strengthen coordination between Legal, Finance, and operational stakeholders
• Build contract architecture that gives Legal and leadership a strategic view of risk

Leadership

• Lead and develop procurement and contracts team members
• Establish performance expectations, KPIs, and operating cadence
• Build scalable systems and processes appropriate for company growth
• Elevate supply chain operations from reactive processing to a strategic operational partner

Core Capabilities

• Supply Chain Integration and Operational Continuity
  Ability to ensure reliable supply and vendor performance across research services, cloud infrastructure, laboratory suppliers, and external partners while identifying and mitigating operational risks before they impact the organization.
• Advanced Strategic Sourcing and Negotiation
  Demonstrated ability to structure and lead complex negotiations across cloud infrastructure, software platforms, research services, and vendor agreements while balancing cost, flexibility, speed, and long-term value.
• Contract Architecture and Governance Design
  Ability to design and implement structured contract frameworks, approval workflows, and lifecycle management processes that create visibility, enforce standards, and reduce legal and financial exposure.
• Financial Stewardship and Vendor Risk Management
  Strong analytical capability to model vendor spend, forecast commitments, evaluate total cost of ownership, and proactively surface financial and operational risk.
• Cross-Functional Partnership and Organizational Influence
  Ability to align Legal, Finance, Research, and Engineering stakeholders around sourcing strategy, vendor commitments, and contractual decisions while balancing operational needs and risk management.

Qualifications

• 10+ years of experience in supply chain, procurement, or strategic sourcing leadership
• Experience operating in biotech, life sciences, or technology-driven R&D environments
• Demonstrated experience managing vendor ecosystems spanning cloud infrastructure, SaaS platforms, research services, or technical R&D environments
• Prior responsibility for leading both sourcing and contract management functions
• Proven ability to build structure and operational discipline in growth-stage organizations
• Strong financial acumen, vendor risk management capability, and negotiation experience

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $215,000 - $280,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role

You are an enthusiastic protein biochemist who takes pride in your bench execution skills. Your passion lies in display technology, drug discovery and developing novel treatments for patients. You are conscientious, detail-oriented, and organized. Collaboration comes naturally to you, and you thrive in a fast-paced environment where pushing the boundaries of what is possible is the norm.

Responsibilities

• Build, adapt, and automate display systems to facilitate AI antibody design. 
• Establish, develop, and/or optimize cutting edge technologies to enable data generation at scale for AI model training or evaluation
• Design and apply multiple innovative selection techniques to provide data at scale based on ML training needs. 
• Design, setup, optimize, and use automation to characterize affinity and function at the clonal level. 
• Contribute to the preparation of technical reports and presentations.
  
  

Qualifications

• Significant hands-on experience with protein display techniques such as yeast and/or phage display. Experience in library design, build, panning/sorting and validation. 
• Bachelor of Science or Master’s degree in Molecular Biology, Biology, Biochemistry, or related fields with 2-6 years of industrial experience.  . 
• Familiarity with antibody binding assays and automating them (ELISA, SPR, FACS).
• Proficiency in molecular and cell biology techniques, including mammalian tissue cell culture, and basic skills in molecular biology labs.
• Working knowledge of software and programming for large data set analysis.
• Excellent analytical and problem-solving skills, with meticulous attention to detail.
• Strong written and verbal communication skills, with the ability to effectively present complex scientific concepts to both technical and non-technical audiences.
• Ability to work effectively in a collaborative, multidisciplinary team environment, fostering cooperation and knowledge-sharing among team members

Schedule Flexibility: Due to the nature of experimental workflows, this role will require availability on weekends (approximately every couple of weeks). 

Employment Type: Contract

Contract Duration: 9 Months

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $45-$60 hourly; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.