About the Position
At 6sense, the Post-Sales Solutions Architect is a critical partner to our Strategic and Enterprise Customer Success Management teams, focused exclusively on supporting existing customers throughout their journey with us. This role blends deep technical acumen with strong customer engagement skills to lead architecture design, optimize platform adoption, and ensure our customers realize the full value of their investment.

You'll work directly with our largest and most complex accounts, helping them integrate and scale their use of 6sense by designing innovative solutions, advising on best practices, and serving as a trusted technical advisor post-sale. This is a high-impact, customer-facing role designed to drive retention, value delivery, and long-term growth.

Key Responsibilities

• Partner with Strategic and Enterprise CSMs to lead post-sale technical activities, including product enablement, demos, proof-of-value workshops, and advanced use case development.
• Facilitate architecture design sessions and platform integration planning, aligning customer objectives to 6sense solutions.
• Document business and technical requirements, and clearly communicate the business value of 6sense capabilities to technical and executive stakeholders.
• Serve as a technical liaison between Customer Success, Product, and Delivery teams to ensure a seamless customer experience.
• Lead solution design for multi-product implementations, systems integrations, and data architecture within existing customer environments.
• Proactively identify technical optimization opportunities to improve customer outcomes and platform ROI.
• Contribute feedback to product management and engineering teams, and help evolve internal tooling and processes for customer delivery.
• Build reports and dashboards that help customers track progress, optimize performance, and make data-driven decisions.

Requirements

• 5+ years of experience in a customer-facing technical role, such as Solutions Architect, Technical Account Manager, or Pre/Post-Sales Engineer.
• Deep technical expertise in solution architecture, data integration, and enterprise software.
• Strong interpersonal and communication skills; able to build trust and articulate complex solutions to both technical and business audiences.
• Experience with CRM systems such as Salesforce, Microsoft Dynamics, or SAP.
• Familiarity with marketing automation tools (Marketo, Eloqua, Pardot, Hubspot) and Customer Data Platforms (Adobe Experience Platform, Segment, etc.).
• Experience with ETL/ELT tools (Informatica, DataStage, Netezza) and data visualization tools (Tableau, Looker, Power BI).
• Working knowledge of cloud infrastructure (AWS, Azure, GCP), REST/SOAP APIs, and integration platforms (MuleSoft, Zapier, Dell Boomi).
• Proficiency in programming/scripting languages such as Python, Java, or C++.

Nice to Haves

• Strong problem-solving skills with a customer-first mindset.
• A track record of influencing customer outcomes through consultative engagement.
• Experience supporting SaaS adoption, expansion, or renewal in large-scale enterprise accounts.
• Ability to prioritize and execute across multiple customer projects while managing stakeholder expectations.

Base Salary Range: $139,035.00 - $180,918.00. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

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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.

Tenstorrent is looking  for a STA methodology engineer who owns timing across advanced-node, high-performance, low-power designs, bringing deep expertise with PrimeTime, noise/crosstalk/OCV analysis, and strong scripting skills. They will lead the development and optimization of end-to-end STA methodologies and flows, drive data- and ML-assisted timing automation, and partner closely with logic, physical design, DFT, and EDA vendors to solve complex timing challenges across multiple IPs and products. 

This role is hybrid, based out of Santa Clara, CA, Austin, TX, or Fort Collins, CO.

We welcome candidates at various experience levels. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting

Who you are

• An experienced Static Timing Analysis (STA) / timing methodology engineer with a BS/M in Electrical or Computer Engineering (or equivalent experience) 5+ years in industry, focused on high-performance and low-power designs at advanced technology nodes. As well as a deep knowledge of STA tools and techniques, including noise, crosstalk, and OCV analysis.
• You are fluent with PrimeTime and related signoff tools (e.g., PT-SI, PTPX, PT-ECO) and have extensive hands-on experience driving signoff correlation, advanced static timing analysis, and signoff closure.
• You are strong at debugging timing constraints, resolving timing correlation issues, and developing effective timing closure strategies.
• You write robust, production-quality scripts in Tcl, Python, and/or Perl and are comfortable building and maintaining CAD utilities and flow components.

What we need

• A senior methodology owner to lead cross-functional efforts to solve complex timing challenges across multiple IPs, projects, and technology nodes. Experience developing and enhancing STA methodologies across the full RTL-to-GDS flow, including: Early timing estimation and timing feasibility checks. Timing optimization techniques in synthesis and place-and-route. Timing signoff methodologies and criteria. Post-route timing ECO strategies and execution.
• A technical leader to architect, optimize, and maintain production STA flows using industry-standard EDA tools, continuously improving PPA (Power, Performance, Area) and runtime efficiency.
• A methodology engineer who can explore and deploy data-driven and ML-assisted techniques to: Improve STA automation. Predict and prioritize timing risk. Guide optimization strategies across blocks and full-chip. Design, implement, and maintain scalable CAD utilities and STA flow components that improve PPA, robustness, and team productivity.
• A methodology owner who continuously refines workflows and introduces new technologies to ensure robust, PPA-optimized timing solutions across all product lines.

What you will learn

• How to scale STA methodologies across a diverse portfolio of IP and SoC programs, balancing aggressive performance targets with strict power and area constraints.
• Best practices for integrating data-driven and ML-assisted approaches into timing flows to improve automation, predictability, and decision-making.
• How to influence tool roadmaps by partnering closely with leading EDA vendors on advanced-node timing, noise, and variability challenges.
• How to operate within and help shape a rapidly evolving startup design environment, including tradeoffs between quick solutions and long-term methodology investments.
• Deeper cross-functional insight into how logic design, physical design, and DFT interact with STA methodology, and how to build flows that serve all of these stakeholders effectively.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. 

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

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested war-fighting domain.

ABOUT THE JOB

We are looking for a Senior Tracking Software Engineer to join our rapidly growing team in Costa Mesa, CA. In this role, you will lead the development of advanced 2D and 3D tracking algorithms that maintain custody of space objects, processing sensor detections and messages into actionable tracks for space situational awareness missions. As a senior member of the team, you will architect and implement sophisticated multi-target tracking systems using cutting-edge state estimation and data association techniques, develop physics-based models to validate performance, and mentor engineers while working closely with software teams to deploy your algorithms into operational systems. You will drive technical decisions, lead design reviews, and serve as a subject matter expert in tracking algorithms. This will require deep expertise in tracking algorithms, state estimation (Kalman filtering), data association methods (JPDA, MHT), proficiency in MATLAB, Python, and C++, experience with modeling and simulation, and demonstrated technical leadership. If you are someone who enjoys solving challenging tracking problems involving clutter, maneuvering targets, contested sensing environments, and real-time mission constraints while guiding others to do the same then this role is for you.

WHAT YOU’LL DO

• Lead systems engineering and algorithm development tasks supporting space and missile defense tracking missions, providing technical direction and guidance to team members
• Architect and implement advanced object tracking and state estimation algorithms, including track initiation, maintenance, correlation, and termination
• Design and evaluate multi-target tracking and multi-sensor fusion approaches for EO/IR, RF, or hybrid sensor architectures
• Lead the implementation of advanced data association techniques including JPDA (Joint Probabilistic Data Association), MHT (Multiple Hypothesis Tracking), nearest neighbor, and track-to-track fusion methods
• Drive innovation in data association techniques, exploring novel approaches and optimizations for complex operational scenarios
• Build sophisticated physics-based models and conduct modeling and simulation including Monte Carlo analysis, recorded sensor playback, and hardware-in-the-loop testing to validate tracking performance
• Lead performance analysis, trade studies, and simulation-based assessments of tracking robustness under challenging conditions (maneuvering targets, clutter, countermeasures, degraded sensing)
• Collaborate with and mentor software engineers to transition tracking algorithms from MATLAB/Python prototypes to production C/C++ code optimized for real-time operational systems
• Drive the systems engineering lifecycle including requirements decomposition, trade studies on tracking approaches, verification and validation planning, and design reviews (SRR, PDR, CDR)
• Lead technical documentation efforts and present at design reviews (SRR, PDR, CDR) and customer engagements
• Mentor engineers in tracking algorithm development, state estimation theory, and best practices
• Serve as a technical subject matter expert for tracking systems, advising program leadership on algorithm performance, risks, and opportunities

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Bachelor's degree or higher in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or related technical field
• 8+ years of experience designing, implementing, and testing multi-target tracking algorithms for aerospace, defense, or autonomous systems
• Demonstrated technical leadership in tracking algorithm development, including leading design efforts, mentoring team members, or serving as a subject matter expert
• Deep theoretical and practical expertise with state estimation techniques, including Kalman Filters (EKF, UKF), multi-target tracking concepts, and Interacting Multiple Model (IMM) filters
• Proven experience developing tracking algorithms that handle track initiation, maintenance, correlation, and termination in operational systems
• Expert proficiency in algorithm development using MATLAB and/or Python with demonstrated experience transitioning algorithms to C++ for production deployment
• Extensive experience with modeling, simulation, and testing workflows including Monte Carlo analysis, sensor data playback, or hardware-in-the-loop environments
• Strong ability to work collaboratively with software engineers, systems engineers, and test teams to integrate tracking algorithms into operational systems
• Excellent communication skills with experience presenting technical concepts to diverse audiences including engineers, program managers, and customers

PREFERRED QUALIFICATIONS

• Advanced degree (MS or PhD) in Engineering, Physics, Applied Mathematics, or related technical field
• 10+ years of experience in tracking algorithm development for defense or aerospace applications
• Experience in one or more of the following domains: missile defense or space systems; EO/IR or RF sensors; kill vehicles, interceptors, or countermeasures
• Extensive experience handling challenging tracking scenarios including track fragmentation, ghost tracks, sensor outages, and high-clutter environments
• Deep familiarity with real-time system constraints, embedded systems, or edge compute optimization
• Demonstrated experience leading efforts within the systems engineering design cycle, including requirements decomposition and traceability, algorithm design and trade studies, verification and validation (V&V), and documentation and design reviews (SRR, PDR, CDR)
• Experience with MBSE tools (Cameo, Rhapsody, DOORS)
• Experience with advanced tracking techniques such as Random Finite Set (RFS) methods, Probability Hypothesis Density (PHD) filters, or machine learning-enhanced tracking
• Publication record in peer-reviewed journals or conferences related to tracking, state estimation, or sensor fusion
• Experience briefing and interfacing with government customers (DoD, IC, or similar)
• Track record of delivering tracking solutions into operational systems or fielded products

ABOUT THE TEAM

The Air Defense team builds robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of UAS threats. Working across product, engineering, business development, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems in challenging operational environments worldwide.

ABOUT THE JOB

In your role as a Mission Operations Deployment Lead on the Air Defense team, you are responsible for delivering and sustaining a capability that meets our customers’ mission requirements and exceeds their expectations. You fulfill this responsibility through rigorous operational execution, detail orientation, proactive communication, deep mission understanding, and hard-won product expertise. You feel ownership over the health and performance of all assets and technologies deployed to your customers and users, and ensure that the system delivers when they need it most. You represent Anduril to our customers, building their confidence and trust through your professionalism and commitment to excellence. You also represent our customers back to Anduril, communicating user feedback and lessons learned to continuously improve our product and our team in response to evolving mission needs. Above all, you set the standard for what good looks like for your deployment, and you rally your Anduril teammates to meet that standard every single day.

WHAT YOU'LL DO

• Deployment planning and execution: We execute hundreds of deployment events each year, including site installations, test and evaluation exercises, demonstrations, and training and maintenance visits. You will orchestrate these events, leading a cross-functional team that spans hardware supply, logistics, engineering, and more to do whatever it takes to achieve mission success for Anduril and our customers. Meticulous, resourceful, and detailed-oriented, you will manage every step of the deployment process, from site survey to testing, pack-out, installation, training, and sustainment. No job is too small. You consistently demonstrate extraordinary judgment, grit, and composure in high-pressure situations. You anticipate every contingency, build lightweight processes, soberly assess and mitigate risk, and deliberately learn from your experiences to continuously improve.
• Relationship management: Build trust with customers, industry partners, users, and Anduril teammates through effective communication, positive attitude, and follow-through. With careful listening and observation, you internalize your counterpart’s priorities and requirements. With empathy and responsiveness, you quickly build rapport, trust, and confidence in our capability. You develop relationships across the organization and communicate honestly and directly. You are committed to giving and receiving feedback well. Your partners always know what you expect from them, and know exactly what to expect from you.
• Mission expertise: Develop a deep knowledge of your customer’s mission requirements, including the nature of the threats they face, regulatory challenges, resource constraints, rules of engagement, and more. You will become a subject matter expert and the voice of the customer, capable of effectively communicating requirements and CONOPS to Anduril engineers so they can continue to enhance our capability to meet evolving mission needs. You are deeply motivated to shape the future of air defense.
• Product expertise: Develop a thorough understanding of the capabilities and limitations of Anduril’s Family of Systems. You are innately curious about the technology underpinning our capability, and are not satisfied with a superficial understanding of how and why it works. You are constantly educating yourself about the strengths and weaknesses of different sensor modalities, the challenges of sensor fusion, power and networking requirements, and more. You will become an opinionated power user who can reliably forecast how our capability will perform against a broad range of threat profiles, environmental conditions, and mission constraints.

REQUIRED QUALIFICATIONS

• • Advanced degree or 3-5+ years experience in a technical field, preferably in the defense, national security, or aerospace domain
  • Highly organized creative problem-solver with proven project management skills
  • Experienced in the creation and upkeep of documentation for new or developing processes
  • Proven experience leading tech-enabled teams of peers while building a culture of influence through relationships
  • Deep interest in national security issues and defense technologies, with a commitment to lifelong learning
  • Experience translating technical concepts into operational requirements and performance specifications
  • Ability to manage multiple projects simultaneously and prioritize tasks effectively
  • Eligible to obtain and maintain an active U.S. Secret security clearance
  • Willing to travel up to 70% of the time

• Experience working on US military installations preferred
• Prior US Navy experience preferred

ABOUT THE TEAM

The Air Defense team builds robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of UAS threats. Working across product, engineering, business development, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems in challenging operational environments worldwide.

ABOUT THE JOB

In this role as a Deployment Lead on the Air Defense team, you are responsible for delivering and sustaining a capability in Hazard Zones that meets our customers’ mission requirements and exceeds their expectations. You fulfill this responsibility through rigorous operational execution, detail orientation, proactive communication, deep mission understanding, and hard-won product expertise. You feel ownership over the health and performance of all assets and technologies deployed to your customers and users, and ensure that the system delivers when they need it most. You represent Anduril to our customers, building their confidence and trust through your professionalism and commitment to excellence. You also represent our customers back to Anduril, communicating user feedback and lessons learned to continuously improve our product and our team in response to evolving mission needs. Above all, you set the standard for what good looks like for your deployment, and you rally your Anduril teammates to meet that standard every single day.

What You’ll Do

• Deployment planning and execution: We execute hundreds of deployment events each year, including site installations, test and evaluation exercises, demonstrations, and training and maintenance visits. You will orchestrate these events, leading a cross-functional team that spans hardware supply, logistics, engineering, and more to do whatever it takes to achieve mission success for Anduril and our customers. Meticulous, resourceful, and detailed-oriented, you will manage every step of the deployment process, from site survey to testing, pack-out, installation, training, and sustainment. No job is too small. You consistently demonstrate extraordinary judgment, grit, and composure in high-pressure situations. You anticipate every contingency, build lightweight processes, soberly assess and mitigate risk, and deliberately learn from your experiences to continuously improve.
• Relationship management: Operate independently in a high risk environment. Build trust with customers, industry partners, users, and Anduril teammates through effective communication, positive attitude, and follow-through. With careful listening and observation, you internalize your counterpart’s priorities and requirements. With empathy and responsiveness, you quickly build rapport, trust, and confidence in our capability. You develop relationships across the organization and communicate honestly and directly. You are committed to giving and receiving feedback well. Your partners always know what you expect from them, and know exactly what to expect from you.
• Mission expertise: Develop a deep knowledge of your customer’s mission requirements, including the nature of the threats they face, regulatory challenges, resource constraints, rules of engagement, and more. You will become a subject matter expert and the voice of the customer, capable of effectively communicating requirements and CONOPS to Anduril engineers so they can continue to enhance our capability to meet evolving mission needs. You are deeply motivated to shape the future of air defense.
• Product expertise: Develop a thorough understanding of the capabilities and limitations of Anduril’s Family of Systems. You are innately curious about the technology underpinning our capability, and are not satisfied with a superficial understanding of how and why it works. You are constantly educating yourself about the strengths and weaknesses of different sensor modalities, the challenges of sensor fusion, power and networking requirements, and more. You will become an opinionated power user who can reliably forecast how our capability will perform against a broad range of threat profiles, environmental conditions, and mission constraints.

REQUIRED QUALIFICATIONS

• Advanced STEM degree or 4+ years of technical work experience, preferably in the defense, national security, or aerospace domain
• Highly organized creative problem-solver with proven project management skills
• Proven experience leading tech-enabled teams of peers while building a culture of influence through relationships
• Deep interest in national security issues and defense technologies, with a commitment to lifelong learning
• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Willing to travel up to 50% of the year: Hazard Zones for ~35%, other travel for ~15%
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.

ABOUT THE TEAM

The Air Defense team builds robots that find other robots and knock them out of the sky. At a time when air superiority can no longer be taken for granted, the Air Defense team provides mission critical capabilities to warfighters. From detection to tracking, identification, deterrence, and defeat, our family of networked sensors and effectors enables our customers to rapidly close the kill chain against a broad range of UAS threats. Working across product, engineering, business development, logistics, operations, and mission success, the Air Defense team develops, tests, deploys, and sustains the Anduril Air Defense Family of Systems in challenging operational environments worldwide.

ABOUT THE JOB

In your role as a Mission Operations Deployment Lead on the Air Defense team, you are responsible for delivering and sustaining a capability that meets our customers’ mission requirements and exceeds their expectations. You fulfill this responsibility through rigorous operational execution, detail orientation, proactive communication, deep mission understanding, and hard-won product expertise. You feel ownership over the health and performance of all assets and technologies deployed to your customers and users, and ensure that the system delivers when they need it most. You represent Anduril to our customers, building their confidence and trust through your professionalism and commitment to excellence. You also represent our customers back to Anduril, communicating user feedback and lessons learned to continuously improve our product and our team in response to evolving mission needs. Above all, you set the standard for what good looks like for your deployment, and you rally your Anduril teammates to meet that standard every single day.

WHAT YOU'LL DO

• Deployment planning and execution: We execute hundreds of deployment events each year, including site installations, test and evaluation exercises, demonstrations, and training and maintenance visits. You will orchestrate these events, leading a cross-functional team that spans hardware supply, logistics, engineering, and more to do whatever it takes to achieve mission success for Anduril and our customers. Meticulous, resourceful, and detailed-oriented, you will manage every step of the deployment process, from site survey to testing, pack-out, installation, training, and sustainment. No job is too small. You consistently demonstrate extraordinary judgment, grit, and composure in high-pressure situations. You anticipate every contingency, build lightweight processes, soberly assess and mitigate risk, and deliberately learn from your experiences to continuously improve.
• Relationship management: Build trust with customers, industry partners, users, and Anduril teammates through effective communication, positive attitude, and follow-through. With careful listening and observation, you internalize your counterpart’s priorities and requirements. With empathy and responsiveness, you quickly build rapport, trust, and confidence in our capability. You develop relationships across the organization and communicate honestly and directly. You are committed to giving and receiving feedback well. Your partners always know what you expect from them, and know exactly what to expect from you.
• Mission expertise: Develop a deep knowledge of your customer’s mission requirements, including the nature of the threats they face, regulatory challenges, resource constraints, rules of engagement, and more. You will become a subject matter expert and the voice of the customer, capable of effectively communicating requirements and CONOPS to Anduril engineers so they can continue to enhance our capability to meet evolving mission needs. You are deeply motivated to shape the future of air defense.
• Product expertise: Develop a thorough understanding of the capabilities and limitations of Anduril’s Family of Systems. You are innately curious about the technology underpinning our capability, and are not satisfied with a superficial understanding of how and why it works. You are constantly educating yourself about the strengths and weaknesses of different sensor modalities, the challenges of sensor fusion, power and networking requirements, and more. You will become an opinionated power user who can reliably forecast how our capability will perform against a broad range of threat profiles, environmental conditions, and mission constraints.

REQUIRED QUALIFICATIONS

• Advanced degree or 3-5+ years experience in a technical field, preferably in the defense, national security, or aerospace domain
• Highly organized creative problem-solver with proven project management skills
• Experienced in the creation and upkeep of documentation for new or developing processes
• Proven experience leading tech-enabled teams of peers while building a culture of influence through relationships
• Deep interest in national security issues and defense technologies, with a commitment to lifelong learning
• Experience translating technical concepts into operational requirements and performance specifications
• Ability to manage multiple projects simultaneously and prioritize tasks effectively
• Eligible to obtain and maintain an active U.S. Secret security clearance
• Willing to travel up to 50% of the time

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

As a Modeling and Simulation Engineer, you will own the understanding and design of the mission solution which includes designing mission trajectories, building models to help craft mission solutions, and developing simulations to solve key mission needs. You will carefully listen to stakeholder needs and then design rigorous math and physics analyses leading to clear and compelling value propositions. You will work closely with related teams, including Systems Engineering, GNC, Propulsion, Communications, Flight Software, Mission Operations, and others. You will lead physics-level modeling, mission design, constellation design, simulation and analysis for a wide variety of space missions.

This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Develop model-driven analysis (and often the models themselves)
• Develop a deep understanding of transformational value of Anduril platform, autonomy, simulation, and perception products
• Use our advanced internal M&S capabilities to give our analyses an asymmetric advantage over competitors
• Convey the value through life of AI-powered distributed systems over traditional industrial offerings
• Provide rigorous analytical products which will be used to guide hardware engineering and convince stakeholders of our value advantage

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Space Mission MS&A experience - for example, working knowledge of constellation design, space trajectory design, and physics-level modeling across a wide variety of space missions
• Spacecraft & Payload MS&A experience— ability to perform physics-based trade-space analyses for spacecraft propulsion, power, thermal management, and payloads such as RADAR, SATCOM, and/or EOIR
• Outstanding communication skills to include visual presentation of complex data
• Strong background in orbital mechanics and space environment
• Proficiency with physics-math scripting (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Strong engineering background, preferably in Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, or other related engineering field

PREFERRED QUALIFICATIONS

• 3+ years in a relevant Science/Engineering field
• Rendezvous Proximity Operations (RPO) Trajectory Design & Space Payloads experience
• Exceptional proficiency with physics-math scripting of your choice (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Proficiency with STK and Astrogator
• Experience with genetic algorithms, machine learning, AI, and reinforcement learning algorithms

ABOUT THE TEAM

Anduril's Space team is dedicated to expanding our AI-powered capabilities into the final frontier, enhancing Space Domain Awareness, Space Control, and Command and Control for U.S. military and allied partners. We're developing fully integrated hardware and software systems, including Lattice for Space Missions and modular payloads, to address growing threats in space and ensure our Guardians maintain a decisive advantage in this contested warfighting domain.

ABOUT THE JOB

As a Senior Modeling and Simulation Engineer, you will own the understanding and design of the mission solution which includes designing mission trajectories, building models to help craft mission solutions, and developing simulations to solve key mission needs. You will carefully listen to stakeholder needs and then design rigorous math and physics analyses leading to clear and compelling value propositions. You will work closely with related teams, including Systems Engineering, GNC, Propulsion, Communications, Flight Software, Mission Operations, and others. You will lead physics-level modeling, mission design, constellation design, simulation and analysis for a wide variety of space missions.

This role is directly tied to ongoing, funded programs within Anduril’s Space Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Develop model-driven analysis (and often the models themselves)
• Develop a deep understanding of transformational value of Anduril platform, autonomy, simulation, and perception products
• Use our advanced internal M&S capabilities to give our analyses an asymmetric advantage over competitors
• Convey the value through life of AI-powered distributed systems over traditional industrial offerings
• Provide rigorous analytical products which will be used to guide hardware engineering and convince stakeholders of our value advantage

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Secret security clearance
• Space Mission MS&A experience - for example, working knowledge of constellation design, space trajectory design, and physics-level modeling across a wide variety of space missions
• Spacecraft & Payload MS&A experience— ability to perform physics-based trade-space analyses for spacecraft propulsion, power, thermal management, and payloads such as RADAR, SATCOM, and/or EOIR
• Outstanding communication skills to include visual presentation of complex data
• Strong background in orbital mechanics and space environment
• Proficiency with physics-math scripting (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Strong engineering background, preferably in Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, or other related engineering field

PREFERRED QUALIFICATIONS

• 8+ years in a relevant Science/Engineering field
• Rendezvous Proximity Operations (RPO) Trajectory Design & Space Payloads experience
• Exceptional proficiency with physics-math scripting of your choice (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Proficiency with STK and Astrogator
• Experience with genetic algorithms, machine learning, AI, and reinforcement learning algorithms

ABOUT THE TEAM

The Discovery team at Anduril is at the forefront of incubating and maturing high-potential, software-defined, AI-native offerings that meet the toughest, newest challenges across hardware, software, space, and cyber domains. We're the architects of mission autonomy and mesh networking, delivering scalable hardware solutions that meet some of the most urgent national security needs. By working hand-in-hand with elite teams in Perception, AI, Motion Planning, Hardware, Test Engineering, Space, Networking, and Vehicle hardware, we craft cutting-edge, end-to-end systems that redefine mission success.

ABOUT THE JOB

As a Staff Modeling and Simulation Engineer, you will own the understanding and design of the mission solution which includes designing mission trajectories, building models to help craft mission solutions, and developing simulations to solve key mission needs. You will carefully listen to stakeholder needs and then design rigorous math and physics analyses leading to clear and compelling value propositions. You will work closely with related teams, including Systems Engineering, GNC, Software, Mission Operations, Hardware Engineering and others. You will lead physics-level modeling, mission design, constellation design, simulation and analysis for a wide variety of defense missions.

This role is directly tied to ongoing, funded programs within Anduril’s Discovery Business Line. The programs require building and fielding a resilient, software-defined spacecraft systems across numerous mission threads. We work with mission partners and customers to deploy reliable and robust capabilities on operationally relevant fielding timelines to meet complex challenges across the DOD and IC.

WHAT YOU’LL DO

• Develop model-driven analysis (and often the models themselves)
• Develop a deep understanding of transformational value of Anduril platform, autonomy, simulation, and perception products
• Use our advanced internal M&S capabilities to give our analyses an asymmetric advantage over competitors
• Convey the value through life of AI-powered distributed systems over traditional industrial offerings
• Provide rigorous analytical products which will be used to guide hardware engineering and convince stakeholders of our value advantage

REQUIRED QUALIFICATIONS

• Currently possesses and is able to maintain an active U.S. Top Secret security clearance
• Strong domain experience in fields like missile defense, Space, radar, sensor fusion, etc. 
• Proven track record of independently owning and executing program deliverables with little to no management
• Outstanding communication skills to include visual presentation of complex data
• Proficiency with physics-math scripting (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Strong engineering background, preferably in Astrodynamics, Aerospace Engineering, Dynamics and Controls Engineering, or other related engineering field

PREFERRED QUALIFICATIONS

• 10+ years in a relevant Science/Engineering field
• Space Mission MS&A experience - for example, working knowledge of constellation design, space trajectory design, and physics-level modeling across a wide variety of space missions
• Spacecraft & Payload MS&A experience— ability to perform physics-based trade-space analyses for spacecraft propulsion, power, thermal management, and payloads such as RADAR, SATCOM, and/or EOIR
• Rendezvous Proximity Operations (RPO) Trajectory Design & Space Payloads experience
• Strong background in orbital mechanics and space environment
• Exceptional proficiency with physics-math scripting of your choice (e.g., MATLAB, SIMULINK, Python+numpy, scipy)
• Proficiency with STK and Astrogator
• Proficiency with AFSIM
• Experience with genetic algorithms, machine learning, AI, and reinforcement learning algorithms

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

Purpose

The Senior Supplier Quality & Development Engineer is a hybrid role that combines the proactive, strategic focus of supplier development with the technical rigor and oversight of supplier quality engineering. This position is responsible for building, improving, and sustaining a high-performing supplier base while ensuring all supplied materials, components, and services meet or exceed stringent quality standards. The role is pivotal in driving supplier excellence, supporting new product introductions, and ensuring continuous improvement.

The Role

• Serve as a liaison between production and procurement operations, suppliers, and customers to ensure all purchased products meet specifications, quality, and regulatory requirements
• Develop, maintain, and continuously improve supplier quality manuals, procedures, production processes, engineering specifications, and inspection plans
• Interpret and communicate customer requirements to suppliers, ensuring accurate and thorough flow down through purchase orders
• Conduct supplier quality audits and source inspections to verify adherence to standards and contractual requirements
• Lead initiatives to identify root causes of supplier issues and implement effective corrective actions, driving improvements in key metrics such as On-Time Delivery (OTD), scrap, rework, and repair costs
• Oversee containment efforts for defects in procured parts, ensuring robust root cause corrective action (RCCA) processes are implemented to prevent recurrence
• Analyze and resolve issues related to supplier components, assemblies, and materials, collaborating with cross-functional engineering teams
• Participate in Material Review Board (MRB) activities to address supplier-originating nonconformances
• Evaluate supplier capabilities and performance through data analysis, site assessments, and tooling validation
• Track and analyze supplier key performance metrics such as OEE, cost, and capability to identify trends and drive improvements in quality, productivity, and cost efficiency
• Develop and lead training programs for quality control (QC) and buyers team members, fostering expertise in advanced problem solving, Lean concepts, and best practices
• Willingness and ability to travel up to 50% to support supplier development, audits, and issue resolution activities

Role Specialization – Additive Manufacturing & Components

• Lead supplier quality and development activities for equipment and printer component suppliers, including contract manufacturers, electrical systems, robotic systems, automated assembly equipment, tooling, thermal processing, HVAC systems, and other advanced manufacturing assets
• Support equipment sourcing and qualification through supplier capability assessments, factory acceptance tests (FAT), site acceptance tests (SAT), and commissioning activities
• Ensure equipment suppliers meet technical, quality, safety, and regulatory requirements throughout the equipment lifecycle, from design and build through installation and production ramp
• Drive corrective actions and continuous improvement initiatives with equipment suppliers related to reliability, uptime, maintainability, safety, and performance
• Partner with manufacturing, facilities, automation, and maintenance teams to resolve supplier-related equipment issues and optimize long-term equipment performance

Basic Qualifications

• Ability to lawfully access information and technology that is subject to US export controls
• Bachelor’s degree in Engineering, Quality Management, or a related field
• Minimum of 7–8 years of progressive experience in supplier quality engineering or a closely related discipline
• Demonstrated expertise in Advanced Product Quality Planning (APQP), Production Part Approval Process (PPAP), and Failure Mode and Effect Analysis (FMEA)
• Strong technical knowledge of automotive component design, manufacturing processes, safety and test requirements, and appearance approval procedures
• Proficient in Geometric Dimensioning and Tolerancing (GD&T) and datum structures
• Comprehensive understanding of IATF 16949:2016, ISO 14001, and relevant regulatory standards
• Proficiency in quality tools and methodologies such as Six Sigma and Lean Manufacturing
• Exceptional problem solving and root cause analysis skills for addressing quality issues, non-conformities, and defects
• Proven ability to conduct supplier quality management system audits and drive supplier improvement initiatives
• Proficient in Microsoft Office Suite, including Excel, Word, Outlook
• Familiarity with ERP/MRP systems (e.g., SAP, Oracle, Plex), supplier portals, and compliance tracking tools
• Demonstrated ethical conduct and integrity in all supplier interactions
• Willingness and ability to travel up to 50% to support supplier development, audits, and issue resolution activities 

Preferred Qualifications

• Proven experience managing supplier quality for capital equipment in advanced manufacturing settings, including automated production lines, robotics, CNC machining, and facility systems
• Familiarity with equipment qualification methodologies, including Factory Acceptance Testing (FAT) and Site Acceptance Testing (SAT), commissioning, and long-term supplier performance monitoring
• In-depth knowledge of aerospace quality standards, including AS9100 and NADCAP, with demonstrated familiarity in industry-specific regulations and certification requirements
• Master’s degree in Engineering or a closely related technical discipline, reflecting advanced technical expertise and leadership capabilities
• Deep understanding of Design for Manufacturing (DFM) principles, with a proven ability to deliver actionable feedback to design engineering teams to optimize manufacturability, quality, and cost
• Strong ability to develop and utilize cost models for multiple commodities, enabling effective achievement of target costs and informed sourcing decisions

Work Environment

• This position is based onsite in our Torrance, CA office.

Compensation

At Divergent, our pay range is based on the level of the job. For this role, we will consider candidates at levels E05-E06 as evaluated through our interview process. 

• Sr. Engineer/E05: $128,520 - $176,720
• Staff Engineer/E06: $148,430 - $204,090

Role Overview

SirenOpt is looking for a Quality Manager to lead the development and implementation of quality control systems. As our first dedicated Quality Manager, you will build and own our Quality Management System (QMS) from the ground up, lead us through ISO 9001 certification, and embed quality processes into the way we design, build, and deliver products.

This is a hands-on, high-impact role for someone who enjoys working cross-functionally across an organization, solving hard problems quickly, and helping shape quality in a startup environment.

You will be the quality leader within the company and support company goals and objectives while maintaining a strict adherence to ensuring the quality of incoming, intermediate, and outgoing materials.

What You’ll Do

QMS Design & ISO 9001 Certification

• Design, implement, and maintain a QMS aligned with ISO 9001:2015 requirements
• Lead the company through initial ISO 9001 certification, including selection and management of the external certification body
• Own all QMS documentation: quality manual, SOPs, work instructions, forms, and records
• Conduct internal audits and manage corrective and preventive actions (CAPA)
• Facilitate management reviews and track quality objectives and KPIs

Contract Manufacturer Quality

• Develop and manage supplier quality requirements for our contract manufacturing partner
• Conduct supplier audits and oversee non-conformance resolution
• Define incoming inspection criteria and acceptance standards for manufactured components and assemblies

Design, Development, and Testing Controls

• Partner with the R&D and Product teams to establish design controls, change management processes, and design review frameworks
• Design and develop measurement system analysis requirements and processes
• Collaborate with teams and individuals to establish and implement testing plans, from unit component testing all the way to full system and software reliability and performance testing.
• Ensure traceability between customer requirements, design inputs, and verification/validation activities

Cross-Functional Quality Culture

• Serve as the internal subject-matter expert on quality standards and best practices
• Train and support employees across the organization on QMS requirements and quality awareness
• Identify process improvement opportunities and drive continuous improvement initiatives

What We’re Looking For

• BS or MS in Mechanical Engineering or equivalent
• 10+ years of experience within Quality Assurance in a manufacturing or hardware product environment, including 3+ years in a supervisory role
• Prior quality management experience that includes a primary focus on measurement system analysis tools and frameworks
• Demonstrated experience leading or co-leading an ISO 9001 certification effort
• Strong working knowledge of QMS principles: document control, internal auditing, CAPA, risk-based thinking, and management review
• Experience working with contract manufacturers or external suppliers on quality requirements
• Experience working in a fast-moving, multidisciplinary environment with a high degree of ownership and technical independence
• Excellent written communication skills for policy and procedure documentation
• Strong communication skills and a practical, problem-solving mindset

Nice to Have

• ISO 9001 Lead Auditor or Lead Implementer certification (ASQ CQM/CQA or equivalent a plus)
• Exposure to ISO 27001 and/or SOC 2 or other information management system standards
• Experience selecting and implementing QMS software
• Prior experience at a pre-commercial or early-commercial hardware startup
• Experience with high-speed interfaces, instrumentation systems, or real-time sensing platforms
• Exposure to metrology systems, scientific instrumentation, or advanced materials applications
• Experience with data analytics and/or data science techniques for defined quality standards

Why Join SirenOpt

• Help define a new category in advanced materials metrology
• Work on genuinely novel deep-tech hardware with real scientific and industrial impact
• Join an early-stage team where your decisions directly shape the product, technology, and company
• Build quality systems at the intersection of plasma science, electronics, sensing, AI-driven analytics, programmable logic, and advanced digital signal processing
• Contribute to technology that can expand what researchers and industry teams are able to see, measure, and optimize

About the Team:

The Systems Engineering team ensures that Terran R comes together as a cohesive, high-performing, and scalable system. Within the department, one team focuses on building tools and processes to manage requirements, track decisions, and identify and mitigate risk - enabling faster, more informed development across the program. Engineers work across domains to understand complex problems, identify solutions, and implement them – all with deep technical knowledge, not just documentation. The other team focuses on the vehicle itself, working across teams to ensure all subsystems of Terran R function together as intended, burning down technical risk, and driving informed decisions at every stage of the vehicle lifecycle. Engineers are empowered to lead high-impact efforts, from major test campaigns to console operations during launch, and are trusted to drive improvements across fluids, structures, avionics, and more. Regardless of which team you’re on, you’ll be part of a high-visibility, high-impact department at a pivotal moment in the program, where decisions made today on trades, architecture, and process will shape not just the first launch, but the long-term trajectory of Relativity.

About the Role:

The Vehicle Build team at Relativity Space is a small, dynamic group within the Vehicle Engineering organization, specializing in cross-functional vehicle development, designing for operability, defining Concept of Operations for downstream work centers, and determining vehicle verification activities. Our team acts as the engineering focal point throughout the vehicle's lifecycle, ensuring consistency in the vehicle build process. We manage upstream and downstream impacts, excel at addressing complex problems, and solving new build challenges. Our group solves for balance between performance, launch/build rate, and reliability. This involves determining requirements, verification events, tools, guidance, and processes, all with operability at the forefront. On this team, you'll collaborate with every function across the company to help design, build, test, fly, recover, and reuse Terran R. You will: 

• Balance technical, cost, and schedule constraints; weighing options, investigating scenarios, and proposing solutions
• Owning the scope of verification activities for Integration, test, and launch site checkouts
• Following the vehicle through its life cycle to ensure consistency in quality and process
• Drive systems through qualification, acceptance, and hotfire test campaigns by writing/reviewing test objectives, test matrices, and test plans
• Enable manufacturing teams to scale by owning specific off-nominal work scope
• Ability to travel to our test & launch sites and may additionally require shifted schedules or weekend work for critical milestones

About You:

• Bachelor's degree in engineering 
• Problem-solving skills and the ability to manage multiple priorities in a fast-paced environment
• Technical aptitude and basic understanding of all functional disciplines (Mechanical, Fluids, and Avionics)

Nice to haves but not required: 

• Graduate degree in engineering or related field
• Experience with aerospace ERP systems and writing technical planning
• Proven experience in design, manufacturing, assembly, and testing of complex aerospace systems
• Excellent communication skills with the ability to distill complex technical problems into simple concepts for a broader audience
• Leadership or coordination experience in a multidisciplinary engineering project and demonstrated ability to lead by influence and collaborate with technical owners

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

About the Role

We're hiring an AI Engineer to work on the AI core of Mill Commercial — the computer vision and agentic systems that turn a stream of food waste into operational intelligence for commercial kitchens. Mill Commercial integrates a camera and onboard compute directly into our high-capacity food recycler; models running on the edge identify, classify, and quantify food scraps at the point of generation, and our vision pipeline turns that signal into procurement and operational guidance for large food service operators.

You'll join a small AI team, building the data and training pipeline that produces our edge CV models, designing the cloud-side evaluation that tells us whether those models are good enough to ship, and helping build the agentic, LLM-driven product features that turn raw waste data into customer-facing insights and recommendations. This is a hands-on senior IC role for someone who's equally comfortable fine-tuning a segmentation model, prompting a VLM, and wiring an agent into a product feature.

What You'll Do

• Build and manage the end-to-end ML training pipeline: data ingestion from deployed kitchen units, ground truth generation, annotation tooling (including foundation-model-assisted labeling), training, evaluation, and retraining cycles.
• Train and evaluate segmentation, classification, and mass-estimation models for the Mill Commercial camera pipeline — from prompting foundation models to fine-tuning ConvNets and VLMs.
• Build the cloud-side evaluation harness that tells us how our shipped edge models are actually performing in the field — automated, reproducible, and aligned to product accuracy targets across food types, kitchen environments, and deployment configurations.
• Own MLOps: reproducible training, experiment tracking, model versioning, and automated evaluation against product-defined accuracy targets.
• Export and validate models for deployment to edge devices, working closely with the edge team on optimization, quantization, and integration.
• Help design and build the LLM- and agent-powered product features that consume waste characterization data and turn it into customer-facing recommendations — purchasing suggestions, anomaly explanations, operational nudges. Define how agents call tools, ground in customer data, and stay reliable in production.
• Analyze failure cases systematically — unfamiliar food classes, novel kitchen environments, challenging lighting and clutter conditions — and drive the data and modeling decisions that close accuracy gaps.

What We're Looking For

• Strong fundamentals in computer vision and deep learning — segmentation, detection, classification, tracking. You understand the architectures well enough to make informed choices.
• Fluency with modern ML approaches — VLMs, LLMs, foundation models, and agentic systems — alongside classical deep learning. You know when to fine-tune a ConvNet, when to prompt a VLM, and when to wire up an agent, and you understand the practical realities of putting any of them into a product.
• Experience building ML training pipelines and data annotation systems at scale.
• Experience evaluating ML models rigorously — designing metrics, building the eval harness, and using results to drive product decisions rather than just publish a number.
• Proficiency with cloud ML infrastructure (AWS or equivalent) — you've managed training jobs, data pipelines, and experiment workflows in production.
• Familiarity with cloud-to-edge model deployment.
• Clear, direct communication — you can explain tradeoffs to non-technical stakeholders, push back honestly when you disagree, and write docs that others can follow.
• Genuine interest in applying AI to food waste reduction and sustainability. This is a mission-driven product and we want people who care about the mission.

Software skills: Python, PyTorch, OpenCV. Strong familiarity with MLOps on AWS infrastructure. Experience with LLM and agent frameworks. Google Cloud / Gemini experience is a plus.

Nice to Have

• Experience with video understanding (temporal consistency, tracking, video segmentation)
• Experience with foundation models for data annotation
• Experience with MLOps tooling (Weights & Biases, MLflow, SageMaker, or equivalents)
• Experience shipping LLM- or agent-powered features in a consumer or B2B product
• Hardware / IoT product experience, particularly with computer vision and cameras for embedded systems

The estimated base salary range for this position is $240 to $280k, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs. At Mill, it is not typical for an individual to be hired at or near the top of the range for their role.

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

ABOUT THE TEAM: Air Dominance & Strike

The Air Dominance and Strike Division is at the bleeding edge of modern warfare, pushing the boundaries of what's possible in autonomous combat. This is where audacious vision meets relentless execution: we design, develop, and deploy the next generation of collaborative combat aircraft, precision strike systems, and the intricate, AI-driven software that orchestrates their autonomous operations. This division is a crucible for innovation, tackling the most complex engineering challenges at the intersection of aerospace, robotics, and artificial intelligence, directly impacting global security.

We are actively searching for a Sr. Technical Program Manager – a true technical leader and strategic orchestrator – to command one of our most critical development programs. This is a rare opportunity to own the end-to-end lifecycle of groundbreaking software-defined autonomous systems, from disruptive R&D and rapid prototyping through rigorous testing, contract capture, and operational deployment. Collaborating directly with our Chief Engineers, you will be singularly responsible for program cost, schedule, technical performance, and risk mitigation, ensuring our autonomous airpower solutions set an unrivaled global standard.

ABOUT THE ROLE: Leading the Autonomous Frontier

This pivotal leadership role demands a rare blend of technical mastery, strategic foresight, and relentless execution. Success hinges on your ability to dominate across four critical dimensions:

1. Deep Technical Acumen & Systems Architect: Possess an exceptional understanding of complex software-defined hardware systems, advanced autonomy, AI/ML architectures, and embedded systems. You will not just manage technical efforts; you will critically assess design choices, identify intricate system interdependencies, manage interface risks, and drive foundational architectural decisions in concert with engineering leadership. Your ability to translate cutting-edge technical challenges into actionable program strategies is paramount.
2. Uncompromising Execution & Ownership: This role demands more than oversight; it demands an owner. You will dive deep into technical details, proactively chart the strategic path, anticipate and preempt obstacles, and relentlessly drive initiatives to successful, on-time, and on-budget completion. Leverage your elite technical aptitude, strategic program management prowess, and inspirational leadership to deliver transformative capabilities that exceed customer expectations.
3. Masterful Cross-Functional Orchestration: You will be the central nexus, orchestrating highly complex efforts across diverse and elite engineering disciplines (software, hardware, GNC, test), advanced manufacturing, supply chain, and quality assurance. Your ability to forge consensus, resolve high-stakes conflicts, and champion program priorities across a rapidly scaling, high-performance organization is non-negotiable.
4. Strategic Customer & Stakeholder Partnership: You will serve as a primary, high-trust interface with critical government customers and senior leadership. Beyond managing expectations, you will actively shape future program requirements, drive strategic discussions, and champion Anduril’s innovative vision. Your capacity to articulate complex technical roadmaps and program advancements with crystal clarity and conviction will be key to expanding our mission footprint.

WHAT YOU'LL DO: Command and Conquer

• Architect & Command Program Trajectory: Lead, define, and relentlessly drive the full lifecycle for advanced autonomous airpower systems, with a significant emphasis on software-defined capabilities – from nascent R&D and rapid prototyping to full-scale development, rigorous integration, and strategic deployment.
• Strategic Software Roadmap & Trade-off Authority: Own and aggressively optimize the strategic software roadmap, making high-impact, data-driven trade-off decisions that expertly balance aggressive development timelines, unparalleled technical excellence, and critical customer requirements.
• Fiscal & Resource Mastermind: Proactively manage and report with precision on all elements of program cost, schedule, and resource allocation (human capital, advanced materials, capital investments). Implement decisive corrective actions and optimize resource deployment to meet and exceed aggressive program financial and delivery targets.
• Pioneer Operational Excellence: Design, champion, and operationalize innovative, high-velocity program management methodologies, tools, and metrics specifically engineered for rapid, iterative software development within the unique context of defense acquisition.
• Aggressive Risk Mitigation: Proactively identify, rigorously assess, and aggressively mitigate technical, programmatic, and operational risks, with particular emphasis on complex software integration, system safety, and autonomous performance in contested environments. Develop robust, anticipatory contingency plans.
• Executive & Customer Statesmanship: Prepare and deliver compelling, high-fidelity strategic updates, critical recommendations, and deeply technical insights to Anduril's Executive Leadership, Board of Directors, and key government stakeholders. Your communication will be decisive and impactful.
• Technical Visionary & Trusted Advisor: Serve as the critical bridge between world-class engineering teams and senior leadership, translating complex software and system architectures into clear, actionable strategic insights. Become the indispensable technical and strategic advisor to Anduril’s engineers and executives.
• Build Elite Teams: Cultivate an uncompromisingly high-performing, innovative, and collaborative engineering culture within your program. Proactively assess team capabilities against future needs, identify critical talent gaps, and drive recruitment initiatives to continuously elevate team strengths.

REQUIRED QUALIFICATIONS:

• Active U.S. Top Secret security clearance or the eligibility to obtain and maintain one.
• Bachelor’s degree in Engineering, Computer Science, or a closely related technical discipline. An advanced degree (Master's, PhD) or equivalent exceptional technical leadership experience is highly preferred.
• Minimum of 10 years of progressive, demonstrably impactful experience managing the development and delivery of highly complex technical systems across their full lifecycle, with at least 5 years in a Senior Technical Program Manager or equivalent strategic leadership capacity.
• Proven, unparalleled track record managing large-scale, mission-critical software development programs for safety-critical autonomous vehicles, complex aerospace platforms, or high-stakes defense systems. Your history must demonstrate consistent delivery of sophisticated software on time and within budget in highly demanding, ambiguous environments.
• Exceptional strategic thinking, analytical rigor, and complex problem-solving abilities, coupled with the agility to seamlessly oscillate between granular technical detail and overarching strategic vision (30,000 ft view).
• Demonstrated ability to inspire, coordinate, and lead multiple internal and external, cross-functional teams within a fast-paced, high-intensity engineering or technology-focused organization.
• Outstanding written and verbal communication skills, with the ability to articulate profoundly complex technical information and program status with unparalleled clarity, conciseness, and persuasive force to both deeply technical and executive-level audiences.
• Deep, practical experience with defense acquisition processes, government contracting, and managing high-stakes customer relationships in the national security domain.

WHY YOU SHOULD JOIN US: The Mission Demands You

• Unrivaled Impact: This is not just a job; it’s a mission. Your work will directly shape the future of national security, delivering capabilities that protect and empower warfighters on a global scale.
• Pioneer the Future: Work at the forefront of AI, autonomy, and advanced software, solving previously intractable problems alongside the brightest minds in the industry.
• Accelerated Career Trajectory: Thrive in an environment that values aggressive ownership, rewards merit, and offers unparalleled opportunities for rapid growth and influence.
• Empowered Autonomy: Operate with significant trust and autonomy in a culture that prioritizes rapid iteration, technical excellence, and impactful delivery over bureaucracy.
• Elite Colleagues: Collaborate with a team of exceptionally talented, driven, and mission-focused engineers, scientists, and leaders who are redefining an entire industry.
• Meaningful Purpose: Every line of code, every decision, and every program milestone directly contributes to safeguarding national interests and global stability. If you are driven by purpose and possess the strategic technical leadership to deliver, your place is with Anduril.

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 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.

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.

About the Role

Verkada prides itself on maintaining a high hiring bar while bringing in diverse and unconventional backgrounds of driven individuals obsessed with their craft. As a Business Value Manager, you will have a direct impact on Verkada’s Enterprise sales motion, bridging the gap between complex technologies and tangible financial and operational outcomes.

Reporting to the Chief of Staff to the CRO, you will partner with Enterprise Sales Leaders to architect a value selling framework to scale to the Enterprise Sales organization, building the infrastructure to reference key customer outcomes and win stories, as well as partnering with Product Marketing and Enablement to develop assets and enablement programs. In addition to pioneering the Business Value Selling program at Verkada, you will serve as the Strategic Deal Architect behind our most complex, multi-million-dollar deals, transforming technical capabilities into compelling financial and operational narratives. In this high-visibility role, you will move beyond feature-selling, working at the intersection of finance, product, and sales to quantify the operational and financial impact of our platform, directly influencing the investment decisions of C-suite executives at the world’s leading enterprises.

What You'll Do

• Program Development: Partner with Product Marketing to create and refine standardized value frameworks, templates, and "talk tracks" to scale business value services across the global enterprise sales organization.
• Value Realization Tracking and Database: Monitor and analyze data from current customers post-implementation to validate that the promised value was delivered, partnering with Product Marketing to maintain a database of relevant data, and creating "real-world" success stories for future sales.
• Sales Enablement: Coach sales teams on value-selling methodologies, including referencing of relevant customer data,  and provide the tooling/content for self-service business justifications.
• Value Discovery: Partner with account executives to lead discovery sessions with CxOs to identify pain points and desired outcomes.
• Financial Modeling: Develop ROI (Return on Investment) and TCO (Total Cost of Ownership) value models to quantify the business impact of solutions.
• Business Case Development: Draft data-backed business cases for strategic opportunities, ensuring every claim is anchored in measurable customer impact.
• Executive Storytelling: Craft and deliver executive-level business cases that align technical solutions with broad corporate objectives.
• Commercial Objection Handling: partnering with Sales to dismantle financial objections in real-time.

What You Bring

• Strategic Consulting: 5–9+ years of experience in management consulting, business transformation, or enterprise software sales.
• Financial Intelligence: Proficiency in building complex financial models and the ability to navigate financial documents like 10-Ks and earnings transcripts.
• Analytical Power: Proficiency in data visualization and manipulation tools such as Looker and advanced Google Sheets.
• Executive Presence: Exceptional presentation and communication skills, with a proven ability to influence C-suite decision-makers.
• Technical & Market Acumen: Deep understanding of SaaS sales motions, industry trends (e.g., AI/ML acceleration), and how IT functions like operations and security drive value.

Analytical Rigor: Ability to derive meaningful insights from large, complex data sets to build compelling business cases.

US Employee Benefits

Verkada is committed to fostering a workplace environment that prioritizes the holistic health and wellbeing of our employees and their families by offering comprehensive wellness perks, benefits, and resources. Our benefits and perks programs include, but are not limited to:

• Healthcare programs that can be tailored to meet the personal health and financial well-being needs - Premiums are 100% covered for the employee under at least one plan and 80% for family premiums under all plans
• Nationwide medical, vision and dental coverage
• Health Saving Account (HSA) with annual employer contributions and Flexible Spending Account (FSA) with tax saving options
• Expanded mental health support
• Paid parental leave policy & fertility benefits
• Time off to relax and recharge through our paid holidays, firmwide extended holidays, flexible PTO and personal sick time
• Professional development stipend
• Wellness/fitness benefits
• Healthy lunches provided daily
• Commuter benefits

The role

As a Nebius BDR, you will be the first point of contact for leading companies across America exploring next-generation cloud and AI solutions. Working closely with Account Executives, Marketing, and Product teams, you will build and qualify pipeline to accelerate Nebius’s growth in US markets.

You’re welcome to work remotely from the US - SF Bay Area, NYC, Austin TX or Boston.

Your responsibilities will include: 

• Territory & Account Penetration
  Collaborate with AEs to map and prioritize target accounts across America, then execute a mix of outbound calls, personalized emails, and LinkedIn outreach to secure qualified meetings.
• Inbound Lead Qualification
  Screen and qualify inbound MQLs generated by Marketing, ensuring each prospect meets BANT criteria before handing off a detailed prospect brief to AEs.
• Customer & Market Engagement
  Conduct qualification calls to uncover customer pain points, technical requirements, and budget. You’ll also represent Nebius at key American tech events, book on-site meetings, and follow up to maximize ROI.
• Feedback & Continuous Improvement
  Gather market intelligence (common objections, competitive insights, feature requests) during prospect conversations and share it with Product and Marketing. Monitor outreach metrics—open rates, reply rates, connect rates—and collaborate with Sales Ops to optimize cadences and scripts. Stay up to date on AI and cloud trends (e.g., generative AI in pharma R&D) to position Nebius’s value proposition effectively.

We expect you to have: 

• 2+ years of SDR/BDR experience in cloud, B2B SaaS, or AI, with a proven track record targeting American markets.
• Ability to explain complex technical concepts (AI architectures, ML workflows) to both technical and non-technical stakeholders. 
• Highly self-motivated, goal-oriented, and able to thrive in a fast-paced startup environment.
• Excellent written and verbal communication skills, with strong cross-cultural awareness and adaptability. Collaborative team player comfortable operating in a hybrid office model.

It will be an added bonus if you have: 

• Familiarity with HubSpot CRM and sales engagement tools such as Outreach.

Key employee benefits:

• Health insurance: 100% company-paid medical, dental and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.

Compensation

Base Salary of $95,000 with an OTE of $118,000

Join Nebius today!

This is a hybrid role that will sit out of our San Francisco office. Hybrid in-office Tuesdays and Wednesdays of each week. 

About the Role

We are looking for a builder to help lead our ‘AI for Work’ efforts. Together with the Director of AI Strategy and Enablement, you will build the internal AI infrastructure that makes our teams more efficient. That means building, evaluating vendors, and continuously evolving the AI systems our teams run on with the goal of maximizing every person's efficiency and scaling our ability to deploy agents across the business. You will embed directly within business functions across the organization, deeply understand how teams operate today, and fundamentally reimagine how they should operate tomorrow. This is not about bolting automation onto existing processes; it's about redesigning how work gets done with agentic tooling transforming (and eliminating) workflows. You will partner with leaders across the business to surface high-impact opportunities, architect intelligent solutions, and deliver measurable gains in productivity, output quality, and the experiences we deliver to our employees. You will define what "AI-native operations" looks like inside Taskrabbit. 

As the AI Productivity and Business Automation Lead, you will also own a critical role in scouting, evaluating, testing, and piloting third-party AI tools to unlock significant productivity gains across Taskrabbit. You’ll work closely with the Director of AI Strategy and Enablement and functional leads to map high-value process bottlenecks and identify AI solutions. You’ll also help create structured experiments and pilot programs that demonstrate measurable business impact. In addition, you’ll help bring cutting-edge AI technology into practical application, supporting implementation and tracking success to drive our AI Strategic Plan. 

You will be responsible for "mining" the business for efficiency opportunities while simultaneously helping to build the centralized orchestration layer that ensures our enterprise AI spend is governed, consistent, and scalable. This is a high-impact IC role designed for a "scrappy builder" who thrives on turning internal complexity into streamlined, automated excellence. 

What You Will Do: 

• Partner multiple functional leaders to define new standards for how teams operate in an AI-augmented environment. Reporting to the Director of AI Strategy and Enablement, you will establish the "AI-first" baseline for daily execution, ensuring that ways of working are clearly defined and consistent across all non-engineering functions. 
• Conduct structured discovery, shadowing teams, interviewing stakeholders, and mapping end-to-end processes, to identify where AI can eliminate, redesign, or dramatically accelerate work 
• Embed within internal business functions to develop a deep, firsthand understanding of current workflows, pain points, and decision-making processes to map high-value process bottlenecks. 
• Reimagine workflows from first principles rather than automating existing steps; challenge assumptions about what requires human involvement and what doesn't
• Design, build, and deploy AI-powered automations, agents, and internal tools that reduce time spent on repetitive, low-value-add tasks while improving the quality and consistency of outputs 
• Integrate large language models, agentic frameworks, and automation platforms into internal workflows with appropriate guardrails, error handling, and human-in-the-loop checkpoints
• Measure everything: establish baselines before intervention, track adoption and usage patterns post-deployment, and quantify productivity impact in terms of hours saved, error rates reduced, and cycle times compressed 
• Serve as a trusted advisor to functional leaders on what AI can and cannot do for their teams; translate business problems into technical solutions and technical constraints into business language 
• Stay abreast of the rapidly evolving AI tooling landscape (e.g., LLM capabilities, orchestration frameworks, RPA-to-AI convergence, no-code/low-code platforms) and calibrate our internal stack accordingly 
• Build reusable patterns, templates, and playbooks so that successful automations in one function can be adapted and scaled across others 
• Collaborate closely with the engineering and product organizations to ensure internal automation efforts align with our broader technology strategy and do not create shadow IT risk 
• Help to define the framework for evaluating the success and health of our workforce transformation. You will determine the key signals that demonstrate progress, partnering with Finance and Data Science to ensure that operational shifts deliver validated value to Taskrabbit. 
• You will focus on moving beyond tool adoption to fundamental change, ensuring our teams are positioned to focus on high-value, high-judgment work that drives enterprise performance. 
• Beyond individual projects, you will focus on helping to build the mindset and capability for teams to lead their own evolution. You will create the models that allow the organization to stay agile, ensuring the workforce can continuously adapt as technology and market conditions change. 

Skills Required: 

• Educational Foundation: You hold a Bachelor’s degree in Computer Science or a comparable technical field, with demonstrated interest in Business Analytics, Finance, Data Science, applied AI, or related disciplines. 
• Experience: You bring 5+ years of professional experience, including 1–2 years of direct, relevant experience in AI, data, or analytics-driven roles. 
• GenAI Fluency: You have hands-on experience with generative AI tools (e.g., Gemini, ChatGPT, Claude) through professional, academic, or personal projects, with a strong understanding of concepts such as state management and prompt versioning. 
• AI & ML Knowledge: You possess a solid understanding of AI technologies and machine learning concepts, and can apply them effectively in business contexts.
• Analytical Thinking: You demonstrate a strong analytical mindset, with the ability to design experiments, interpret metrics, and distinguish meaningful signals from noise.
• Communication Skills: You communicate clearly and concisely, translating complex technical insights into actionable recommendations for non-technical stakeholders.
• Ownership & Drive: You exhibit curiosity, a bias for action, and a strong sense of ownership in fast-moving, ambiguous environments. 
• Hands-on Builder Mindset: You are a scrappy, execution-oriented builder who can take ideas from stakeholders and independently develop working agentic workflows without relying on external engineering resources. 
• Business Acumen: You translate complex AI capabilities into clear business value, articulating ROI and impact for diverse stakeholders. 
• Operational Excellence: You bring rigor to operations, including managing vendor relationships, forecasting technical costs (e.g., token usage), and maintaining system reliability and SLAs. 
• Strategic AI Perspective: You stay current with rapid advancements in AI (e.g., LLMs, agents), proactively identifying implications for business and workforce transformation. You effectively bridge the gap between what is technically possible and what is practically scalable. 
• Leadership & Influence: You are a self-starter who thrives in ambiguity and can lead high-stakes discussions with senior leaders, using structured thinking and compelling storytelling to drive alignment and change. 
• Impact Orientation: You are deeply data-driven, partnering effectively with Finance and Data Science to define success metrics and ensure initiatives deliver measurable productivity gains and business impact. 
• Continuous Learning: You demonstrate strong intellectual curiosity and a commitment to continuous learning, staying ahead of emerging technologies to ensure long-term organizational readiness.

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $192,000 - $250,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing!

Location:  Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy.

What You’ll Do

• Develop and maintain highly interactive, large-scale and complex web-based visual analytics tools on AI/ML workloads.
• Design and implement creative and performant visualizations to assist in diagnosing issues or uncovering optimization opportunities in AI/ML inference and serving.
• Collaborate closely with hardware architects and compiler engineers to define, design, and implement effective visualization solutions enhancing their workflow.
• Develop high-performance visualization workflows by integrating independent graphics modules with micro-services to handle asset optimization, ensuring a non-blocking experience on the client.
• Continuously seek improvements to existing tools and develop new approaches to meet fast-evolving requirements.
• Stay up-to-date with the latest advancements in web development and visualization techniques.
• Contribute to the development of the documentation and user guides.
• Complete other responsibilities as assigned.

What You Bring

• Bachelor’s with 10+ years, or Master’s with 8+ years, or PhD's with 5+ years of industry experience.
• An innate drive to clarify deep technical complexity, balancing creative visualization with engineering rigor to build analytical tools that make interdependent hardware and software models intuitive without sacrificing logical precision.
• Strong experience in full-stack visual analytics software development, with a focus on building scientific or infrastructure visualization tools. Experience in AI model visualization integrated with PyTorch is a plus.

• Strong proficiency in modern frontend technologies like React and backend technologies like Node.js or Python-based frameworks. Experience in graph-based UI is a plus.
• Proven experience in WebGL/WebGPU based frameworks such as three.js or deck.gl. GLSL experience is a plus. Experience in WebAssembly with C++ is a plus.
• Excellent problem-solving skills and ability to think critically and creatively.

• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.
• An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding.
• You’re collaborative, building relationships, humbly offering support and openly welcoming approaches.
• Innovative and creative, you proactively explore new ideas and adapt quickly to change.

#LI-VL1

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to enable everything from commercial fleets to personally owned vehicles. A key pillar of this strategy is Nuro’s partnership with Uber to power a robotaxis program on the Uber network.

About the Team

We are looking for self-motivated engineers to build the next-generation onboard infrastructure for autonomous driving. Our mission is to provide a high-performance, highly reliable foundation of the Nuro Driver™, spanning inter-process communication, logging, monitoring, execution and state management. We actively embrace AI-assisted development, leveraging feature development, root cause analysis, workflow automation to supercharge our velocity. You will collaborate closely with our Autonomy team, hardware teams, AI Platform team, and systems/safety team to make sure the whole autonomy stack works together safely and smoothly. 

About the Work

• Work on distributed systems inside the vehicle
• Develop high-performance communication between multiple nodes
• Develop logging infrastructure and data collection frameworks for massive volume autonomy and sensor data
• Develop frameworks to start, control, and monitor autonomous modules
• Collaborate with other software teams to build foundational libraries and interfaces, with emphasis on low-latency and high reliability
• Build data pipelines and diagnostics tools to improve the reliability and operational efficiency of onboard software
• Troubleshoot hard-to-reproduce system performance problems

About You

• BS/MS/PhD in Computer Science  2+ years of Equivalent industry experience
• Strong system fundamentals and strong C++ skills
• Solid experience developing production-quality software in C++ and Python in areas like self-driving, robotics, embedded Linux system, telecommunication, and other technology industries.
• Deep understanding on Linux operating systems.
• Proven ability to diagnose and resolve complex system performance bottlenecks through analytical troubleshooting.

Bonus Points

• Experience with ROS, Apollo Cyber RT, Iceoryx or other robotics frameworks
• Robotics experience, ML inference optimization experience, computer architecture experience
• Experience with GPU programming or NVidia Orin Platform

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,000 and $240,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-CD1

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to enable everything from commercial fleets to personally owned vehicles. A key pillar of this strategy is Nuro’s partnership with Uber to power a robotaxis program on the Uber network.

About the Team

We are looking for self-motivated engineers to build the next-generation onboard infrastructure for autonomous driving. Our mission is to provide a high-performance, highly reliable foundation of the Nuro Driver™, spanning inter-process communication, logging, monitoring, execution and state management. We actively embrace AI-assisted development, leveraging feature development, root cause analysis, workflow automation to supercharge our velocity. You will collaborate closely with our Autonomy team, hardware teams, AI Platform team, and systems/safety team to make sure the whole autonomy stack works together safely and smoothly. 

About the Work

• Work on distributed systems inside the vehicle
• Develop high-performance communication between multiple nodes
• Develop logging infrastructure and data collection frameworks for massive volume autonomy and sensor data
• Develop frameworks to start, control, and monitor autonomous modules
• Collaborate with other software teams to build foundational libraries and interfaces, with emphasis on low-latency and high reliability
• Build data pipelines and diagnostics tools to improve the reliability and operational efficiency of onboard software
• Troubleshoot hard-to-reproduce system performance problems

About You

• BS/MS/PhD in Computer Science  2+ years of Equivalent industry experience
• Strong system fundamentals and strong C++ skills
• Solid experience developing production-quality software in C++ and Python in areas like self-driving, robotics, embedded Linux system, telecommunication, and other technology industries.
• Deep understanding on Linux operating systems.
• Proven ability to diagnose and resolve complex system performance bottlenecks through analytical troubleshooting.

Bonus Points

• Experience with ROS, Apollo Cyber RT, Iceoryx or other robotics frameworks
• Robotics experience, ML inference optimization experience, computer architecture experience
• Experience with GPU programming or NVidia Orin Platform

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,000 and $240,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-CD1

Who We Are 

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to enable everything from commercial fleets to personally owned vehicles. A key pillar of this strategy is Nuro’s partnership with Uber to power a robotaxis program on the Uber network.

About the Team

We are looking for self-motivated engineers to build the next-generation onboard infrastructure for autonomous driving. Our mission is to provide a high-performance, highly reliable foundation of the Nuro Driver™, spanning inter-process communication, logging, monitoring, execution and state management. We actively embrace AI-assisted development, leveraging feature development, root cause analysis, workflow automation to supercharge our velocity. You will collaborate closely with our Autonomy team, hardware teams, AI Platform team, and systems/safety team to make sure the whole autonomy stack works together safely and smoothly. 

About the Work

• Work on distributed systems inside the vehicle
• Develop high-performance communication between multiple nodes
• Develop logging infrastructure and data collection frameworks for massive volume autonomy and sensor data
• Develop frameworks to start, control, and monitor autonomous modules
• Collaborate with other software teams to build foundational libraries and interfaces, with emphasis on low-latency and high reliability
• Build data pipelines and diagnostics tools to improve the reliability and operational efficiency of onboard software
• Troubleshoot hard-to-reproduce system performance problems

About You

• BS/MS/PhD in Computer Science  4+ years of Equivalent industry experience
• Strong system fundamentals and strong C++ skills
• Solid experience developing production-quality software in C++ and Python in areas like self-driving, robotics, embedded Linux system, telecommunication, and other technology industries.
• Deep understanding on Linux operating systems.
• Proven ability to diagnose and resolve complex system performance bottlenecks through analytical troubleshooting.

Bonus Points

• Experience with ROS, Apollo Cyber RT, Iceoryx or other robotics frameworks
• Robotics experience, ML inference optimization experience, computer architecture experience
• Experience with GPU programming or NVidia Orin Platform

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $193,000 and $291,000 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-CD1

About the Role

We are seeking an accomplished Global Client Partner, VP to own and grow a flagship technology account headquartered in Cupertino. You will serve as the executive relationship and organic business development lead, accountable for strategy, revenue growth, margin expansion, and overall client satisfaction. This is a high-visibility, P&L-owning role that requires exceptional consultative skills, technology-sector knowledge, Martech Solutions, and a proven track record of driving large-scale transformation and innovation.

Key Responsibilities

• Account Leadership & Strategy
  
  
• Serve as the senior executive and trusted advisor for all aspects of the client relationship.
  
  
• Develop and execute a multi-year account growth strategy aligned to the client’s technology roadmap and business objectives.
  
  
• Own full P&L responsibility, including revenue, margin, forecasting, and budget management.
  
  
• Growth & Business Development
  
  
• Identify, shape, and close new opportunities across consulting, digital engineering, AI/ML, cloud, Marcom, and managed services.
  
  
• Lead complex deal negotiations and commercial structures to achieve profitable growth.
  
  
• Partner with internal sales, delivery, and marketing teams to create account-specific campaigns and thought leadership.
  
  
• Delivery Excellence
  
  
• Oversee large-scale, multi-tower technology programs ensuring on-time, on-budget, high-quality delivery.
  
  
• Collaborate with delivery leaders to meet or exceed SLA, CSAT, and NPS targets.
  
  
• Proactively manage risk, escalation, and compliance across all engagements.
  
  
• Executive Stakeholder Management
  
  
• Cultivate senior-level relationships (C-suite, SVP/VP, key decision makers) to influence strategic direction and drive growth opportunities. 
  
  
• Facilitate quarterly business reviews and executive steering committees.
  
  
• Leadership & Team Development
  
  
• Build and mentor a high-performing account team, including on-site and global resources.
  
  
• Champion diversity, equity, inclusion, and a culture of innovation.
  
  

Qualifications & Experience

• 15+ years of progressive client-facing leadership in technology services, consulting, or digital transformation.
  
  
• Proven success managing a $50M+ annual account P&L, with consistent double-digit growth.
  
  
• Deep understanding of technology ecosystems—cloud, AI/ML, SaaS, product engineering, and platform services.
  
  
• Exceptional executive presence, communication, and negotiation skills.
  
  
• Strong financial acumen and ability to translate client objectives into profitable business solutions.
  
  
• Ability to thrive in a fast-paced, on-site client environment in Cupertino.
  
  

Preferred Attributes

• Experience with major Silicon Valley technology companies.
  
  
• Background in both consulting and large-scale delivery organizations.
  
  
• Track record of building long-term client partnerships and leading multi-year transformation programs.
  
  

Why Join Us

• Opportunity to lead one of our most strategic technology accounts with global impact.
  
  
• Executive visibility and autonomy to shape growth strategy and innovation.
  
  
• Competitive executive compensation package including base salary, performance bonus, and equity.

What We Offer

.Monks has provided a compensation range that represents its good faith estimate of what Media.Monks may pay for the position at the time of posting .Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate’s sex or any other protected status. 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.

Salary range

$230,000.00 — $260,000.00 USD

#LI-AO1

#LI-Hybrid

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.

Role Overview

We are seeking a Sr. Technical Product Manager to lead the strategy and execution of data product, AI/ML system, AI-powered tooling, and automation initiatives across Patient Experience and Commercial Operations functions. This role is focused on improving how patients navigate testing and billing while enabling operational teams to efficiently progress cases from order to completion. You will play a crucial part in supporting initiatives to reduce friction, improve patient trust, and increase operational efficiency, ultimately driving better conversion, collections, and experience.

This role focuses on building, scaling, and leveraging platforms and products that power decision intelligence and activity orchestration across these domains. You will work in close collaboration with domain leaders while building through centralized Data & AI organization platforms, standards, and governance. You will own the full product lifecycle from discovery through production, ensuring solutions are adopted, trusted, and deliver measurable business impact. In doing so, you will work hands-on as an empowered builder of AI and software solutions to improve workflow efficiency, productivity, and quality for the teams you support.

This is a technical product role requiring fluency in data systems, modern data platforms, ML, and AI implementation patterns (and the ability and drive to build with them directly), combined with strong experience and stakeholder intuition across the associated functions. The role has direct ownership of high-impact initiatives that deeply influence organizational success.

What You’ll Do

Strategy & Roadmap

• Define and own the Data & AI product strategy and roadmap for the Patient Experience + Commercial Operations pod by deeply partnering with business leaders to proactively identify high-impact opportunities, shape problem definitions, and drive aligned priorities
• Translate ambiguous business problems (e.g., stuck cases, fragmented patient communication, support inefficiencies, billing friction) into clear product direction and measurable outcomes
• Own the line between 'what the business needs' and 'what gets built' end-to-end

Discovery, Experimentation, & Requirements

• Develop deep context on the domain so you can proactively propose solutions rather than field requests
• Be hands-on with data: query datasets, review schemas, and validate assumptions through analysis
• Lead end-to-end product discovery with interviews, workflow mapping, data assessments, ROI modeling, etc.
• Define clear product requirements (PRDs, user stories, acceptance criteria) and success metrics
• Design and run experiments to validate product performance and measure causal impact
• Establish leading indicators and KPIs for proactive product and process health assessments

Delivery, Data, & ML Lifecycle

• Partner with data and AI/ML engineering resources to deliver scalable products and capabilities
• Guide development of robust data pipelines and unified data models (360° views across key entities)
• Own the end-to-end ML lifecycle: feature definition, evaluation, deployment, monitoring, drift detection, and retraining
• Ensure training–serving consistency, model versioning, and clear deployment decision gates
• Establish strong observability across data pipelines and models (data quality, latency, reliability, cost)

AI Productization & Hands-On Building

• Define and implement AI product patterns, including agentic workflows and tool/function-calling integrations
• Build process automations and internal tools that improve workflow efficiency, productivity, and output quality for the teams you support
• Establish evaluation frameworks for LLM-powered features (faithfulness, relevance, safety, cost, latency)
• Implement prompt strategies, guardrails, and continuous evaluation pipelines

Governance, Compliance, & Data Quality

• Ensure products meet regulatory and compliance requirements
• Champion data quality, lineage, and reliability through data contracts and observability standards
• Maintain strong documentation practices (e.g., model cards, dataset documentation, audit trails)
• Partner with governance teams (Security, Legal, Compliance, AI Governance) to operationalize AI responsibly

Adoption, Change Management, & Impact

• Launch products with supporting enablement activities to ensure solutions are embedded in workflows with confidence
• Partner with stakeholders to integrate products into proactive, day-to-day decision-making
• Monitor product usage, performance, and business outcomes to iterate based on data and feedback
• Quantify and communicate impact (e.g., revenue lift, cost reduction, cycle time improvements, case completion turnaround)
• Influence Patient Experience and Commercial Operations stakeholders through delivery, not authority

Qualifications

Required

• 7+ years of relevant experience (e.g., product management, applied AI/ML engineering, technical founder, forward-deployed engineering), including 3+ years building data products, AI/ML systems, or related platforms
• Demonstrated domain fluency in Patient Experience and/or Commercial Operations
• Strong understanding of patient journeys, support channels (e.g., chat, voice, call centers), and operational workflows that drive conversion and test completion
• Familiarity with key domain-relevant tooling (e.g., patient portals, support platforms) and associated data
• Strong technical capability (e.g., comfortable scripting, performing EDA, with AI-aided application development)
• Hands-on experience shipping LLM-powered features or automations (e.g., prompting, RAG, tool/function calling, agentic orchestration, evals)
• ML/MLOps literacy (evaluation metrics, experimentation, feature stores, CI/CD, monitoring, drift)
• Familiarity with modern data stacks (e.g., Snowflake, dbt, AWS/SageMaker, Airflow/Dagster)
• Strong stakeholder leadership and communication skills, with the ability to work across technical and business teams
• Experience working in regulated environments (e.g., healthcare, life sciences, fintech)

Preferred

• Experience in healthcare, diagnostics, life sciences, and/or digital health
• Familiarity with healthcare data domains and systems, including patient, provider, payer, claims, billing, and clinical trial data
• Experience with vendor evaluation, platform selection, or external AI tooling ecosystems
• Advanced degree in a technical and/or business discipline

What Success Looks Like

• Production-grade data and AI products are deployed and embedded in day-to-day decision-making workflows
• Process automations and internal tools you build are reducing manual effort and improving output quality across the teams you support
• Measurable improvements seen in key business metrics (e.g., case completion turnaround time, patient satisfaction, cost-to-serve)
• Reliable, high-quality data foundations connect patient, provider, clinical, operational, and billing/financial insights end-to-end
• AI systems are continuously monitored, evaluated, and improved with measurable business impact
• Stakeholders trust and adopt implemented solutions across both corporate and business-unit teams
• Internal teams have transparent access to the function's roadmap, trust in delivery against it, and visibility into the evaluation logic that prioritizes initiatives based on their impact to organizational goals

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.

Role Overview

We are seeking a Sr. Technical Product Manager to lead the strategy and execution of data product, AI/ML system, AI-powered tooling, and automation initiatives across the go-to-market and operational teams embedded within Natera’s core business units (i.e., Oncology, Women’s Health, Organ Health), including Sales, Marketing, and Medical stakeholders. 

This role focuses on building, scaling, and leveraging platforms and products that power decision intelligence and activity orchestration across these domains. You will work in close collaboration with ‘S&M + GM’ leaders while building through centralized Data & AI organization platforms, standards, and governance. You will own the full product lifecycle from discovery through production, ensuring solutions are adopted, trusted, and deliver measurable business impact. In doing so, you will work hands-on as an empowered builder of AI and software solutions to improve workflow efficiency, productivity, and quality for the teams you support.

This is a technical product role requiring fluency in data systems, modern data platforms, ML, and AI implementation patterns (and the ability and drive to build with them directly), combined with strong experience and stakeholder intuition across Sales, Marketing, Medical, and related functions.

This role sits at the intersection of business impact and technical depth, with deep visibility into commercial performance and executive decision-making. You will have direct ownership of high-impact initiatives fueling overall organizational success.

What You’ll Do

Strategy & Roadmap

• Define and own the Data & AI product strategy and roadmap for the S&M + GM pod by deeply partnering with business leaders to proactively identify high-impact opportunities, shape problem definitions, and drive aligned priorities
• Translate ambiguous business problems (e.g., churn risk, campaign performance, clinical profile segmentation, next-best-action orchestration) into clear product direction and measurable outcomes
• Own the line between ‘what the business needs’ and ‘what gets built’ end-to-end

Discovery, Experimentation, & Requirements

• Develop deep context on the domain so you can proactively propose solutions rather than field requests
• Be hands-on with data: query datasets, review schemas, and validate assumptions through analysis
• Lead end-to-end product discovery with interviews, workflow mapping, data assessments, ROI modeling, etc.
• Define clear product requirements (PRDs, user stories, acceptance criteria) and success metrics
• Design and run experiments to validate product performance and measure causal impact
• Establish leading indicators and KPIs for proactive product and process health assessments

Delivery, Data, & ML Lifecycle

• Partner with data and AI/ML engineering resources to deliver scalable products and capabilities
• Guide development of robust data pipelines and unified data models (360° views across key entities)
• Own the end-to-end ML lifecycle: feature definition, evaluation, deployment, monitoring, drift detection, and retraining
• Ensure training–serving consistency, model versioning, and clear deployment decision gates
• Establish strong observability across data pipelines and models (data quality, latency, reliability, cost)

AI Productization & Hands-On Building

• Define and implement AI product patterns, including agentic workflows and tool/function-calling integrations
• Build process automations and internal tools that improve workflow efficiency, productivity, and output quality for the teams you support
• Establish evaluation frameworks for LLM-powered features (faithfulness, relevance, safety, cost, latency)
• Implement prompt strategies, guardrails, and continuous evaluation pipelines

Governance, Compliance, & Data Quality

• Ensure products meet regulatory and compliance requirements
• Champion data quality, lineage, and reliability through data contracts and observability standards
• Maintain strong documentation practices (e.g., model cards, dataset documentation, audit trails)
• Partner with governance teams (Security, Legal, Compliance, AI Governance) to operationalize AI responsibly

Adoption, Change Management, & Impact

• Launch products with supporting enablement activities to ensure solutions are embedded in workflows with confidence
• Partner with stakeholders to integrate products into proactive, day-to-day decision-making
• Monitor product usage, performance, and business outcomes to iterate based on data and feedback
• Quantify and communicate impact (e.g., revenue lift, cost reduction, cycle time improvements, forecasting accuracy)
• Influence across Sales, Marketing, Medical, and GM stakeholders through delivery, not authority

Qualifications

Required

• 7+ years of relevant experience (e.g., product management, applied AI/ML engineering, technical founder, forward-deployed engineering), including 3+ years building data products, AI/ML systems, or related platforms
• Demonstrated domain fluency in Sales, Marketing, Field Medical, and/or related commercial/GTM functions 
• Strong understanding of sales funnel, marketing funnel, medical affairs funnel, and related funnels to relate product ideas to the overall opportunity landscape
• Familiarity with key domain-relevant tooling (e.g., Salesforce) and associated data 
• Strong technical capability (e.g., comfortable scripting, performing EDA, with AI-aided application development)
• Hands-on experience shipping LLM-powered features or automations (e.g., prompting, RAG, tool/function calling, agentic orchestration, evals)
• ML/MLOps literacy (evaluation metrics, experimentation, feature stores, CI/CD, monitoring, drift)
• Familiarity with modern data stacks (e.g., Snowflake, dbt, AWS/SageMaker, Airflow/Dagster)
• Strong stakeholder leadership and communication skills, with the ability to work across technical and business teams
• Experience working in regulated environments (e.g., healthcare, life sciences, fintech)

Preferred

• Experience in healthcare, diagnostics, life sciences, and/or digital health
• Familiarity with healthcare data domains and systems
• Experience with vendor evaluation, platform selection, or external AI tooling ecosystems
• Advanced degree in a technical and/or business discipline

What Success Looks Like

• Production-grade data and AI products are deployed and embedded in day-to-day decision-making workflows
• Process automations and internal tools you build are reducing manual effort and improving output quality across the teams you support
• Measurable improvements seen in key business metrics (e.g., increased sales efficiency, better campaign performance)
• Reliable, high-quality data foundations connect patient, clinical, financial, and commercial insights end-to-end
• AI systems are continuously monitored, evaluated, and improved with measurable business impact
• Stakeholders trust and adopt implemented solutions across both corporate and business-unit teams
• Internal teams have transparent access to the function’s roadmap, trust in delivery against it, and visibility into the evaluation logic that prioritizes initiatives based on their impact to organizational goals
  
  

#LI-DNI

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Role 

We’re looking for a Senior Data Engineer to design, build, and operate the data pipelines and aggregates that power Zeta’s AdTech platform. This is a hands-on individual contributor role focused on high-scale batch + streaming data processing, reliable data products, and analytics-ready datasets that enable prediction, agentic workflows, BI reporting, and measurement. You will partner closely with backend, ML, and product teams to deliver trusted, well-modeled data with strong performance, quality, and observability. 

What You’ll Do 

• Build data pipelines: Develop robust batch and streaming pipelines (Kafka/Kinesis) to ingest, transform, and enrich large-scale event data (impressions, clicks, conversions, costs, identity signals). 

• Create data aggregates & marts: Design and maintain curated aggregates and dimensional models for multiple consumers—prediction models, agents, BI dashboards, and measurement workflows. 

• Data modeling & contracts: Define schemas, data contracts, and versioning strategies to keep downstream systems stable as sources evolve. 

• Data quality & reliability: Implement validation, anomaly detection, backfills, and reconciliation to ensure completeness, correctness, and timeliness (SLAs/SLOs). 

• Performance & cost optimization: Optimize compute/storage for scale (partitioning, file sizing, incremental processing, indexing), balancing latency, throughput, and cost. 

• Orchestration & automation: Build repeatable workflows with scheduling/orchestration (e.g., Airflow, Dagster, Step Functions) and CI/CD for data pipelines. 

• Observability for data systems: Instrument pipelines with metrics, logs, lineage, and alerting to accelerate detection and root-cause analysis of data issues.
• Security & governance: Apply least-privilege access, PII-aware handling, and governance controls aligned with enterprise standards.

Qualifications

• 5+ years building production data pipelines and data products (batch and/or streaming) in a high-scale environment.
• Strong experience with SQL and data modeling (dimensional modeling, star/snowflake schemas, event modeling). 

• Hands-on experience with streaming systems (Kafka preferred) and/or AWS Kinesis, including event-driven designs. 

• Proficiency in one or more languages used for data engineering (Python, Java, Scala, or Go). 

• Experience with distributed data processing (Spark, Flink, or equivalent) and performance tuning at scale. 

• Experience with AWS data services and cloud-native patterns (S3, Glue/EMR, Athena, Redshift, etc. as applicable). 

• Familiarity with lakehouse/table formats and large-scale storage patterns (e.g., Parquet; Iceberg/Hudi/Delta are a plus). 

• Experience with orchestration/workflow tooling (Airflow/Dagster/Step Functions) and CI/CD for data workloads. 

• Strong data quality/observability practices (tests, monitoring, lineage; understanding of SLAs/SLOs). 

• Experience with SQL + NoSQL data stores (e.g., Postgres/MySQL; DynamoDB/Cassandra/Redis) and choosing the right store per use case.
• Clear communicator and collaborator; able to work with mixed audiences and translate needs into reliable data interfaces. 

Preferred Experience

• AdTech / programmatic advertising domain knowledge: DSP/SSP/exchange/RTB concepts and data flows. 

• Experience building measurement pipelines (attribution, incrementality, lift, or experimentation analytics).
• Experience supporting ML feature stores, offline/online feature generation, or model training datasets. 

• Experience with real-time analytics stores (Druid/ClickHouse/Pinot) and high-cardinality aggregation strategies. 

• Deep knowledge of data governance/privacy, including PII handling and consent-aware data processing. 

• Open-source contributions, publications, or conference speaking. 

• BS/MS in CS/Engineering or equivalent practical experience. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $165,000 - $175,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases

#LI-YW1

Field Onboarding Manager

LOCATION: San Francisco onsite 2 days per week.

ABOUT THE POSITION & TEAM

At Okta, the Global Sales Onboarding Team plays a mission-critical role in accelerating new hire ramp time and providing ongoing enablement support, equipping sellers with the skills, knowledge, and confidence to perform at their best in a highly technical environment. 

Our approach to sales enablement is a holistic experience that includes self-guided learning, virtual instructor-led trainings, certifications, in-person learning, and immersive experiences. 

The Field Onboarding Manager, will wear many hats including: strategy, facilitation, content development, coordination, stakeholder management, and measurement of impact. This person will primarily serve our AMER based field audience to drive GTM readiness, through experiences that delight. This person will partner directly with the Enablement Business Partner and sales leaders to identify the needs of the business to best serve our new hires.  

Key Responsibilities:

• Strategic Liaison: Identify ways to drive impact and up level or existing programing, while maintaining tight feedback loops with sales leaders. 
• Program Lead: Manage the end-to-end delivery of the AMER sales onboarding experience.
• Facilitation & Coaching: Conduct high-impact sessions (virtual and in-person) that engage learners, create a safe space for learning, and achieve learning objectives.
• Coordination: Not afraid of a spreadsheet, and super detail oriented to ensure events and complex programs run smoothly.
• Stakeholder Management: Aligns with stakeholders on a predictable ongoing basis to ensure tight feedback loops with sales executives and leaders, and to adjust learning interventions as needed.
• Measurement of Impact: Uses data driven decision making to influence strategy. 
• Cultivate a High-Energy First Impression: Serve as an ambassador for the Okta sales culture, ensuring every new hire feels welcomed, valued, and energized from Day 1.
• Multi-Track Program Support: Demonstrate the agility to support onboarding work streams outside of the core Sales segment.

Experience & Success Characteristics

• Product Knowledge Pro: Deep understanding of complex technical products (or an aptitude to learn quickly).
• Field Enablement Experience: Experience scaling onboarding programs in high-growth environments; practical sales or quota-carrying experience is preferred.
• Operational Guru: Proven ability to manage large-scale programs and logistics while juggling competing priorities.
• Exceptional Facilitator: Comfortable commanding a room to drive behavior change.
• Continuous Improver: Data-driven mindset focused on speeding up productivity.
• Tech-forward mindset: Proficiency in Google Workspace and Slack for seamless team collaboration, and experience leveraging Sales Enablement Platforms 
• Meticulous attention to detail: Proven ability to manage complex project logistics, ensuring high-quality, error-free delivery of onboarding materials and training schedules in a fast-paced environment.
• Highly adaptable with a 'builder' mentality: Comfortable navigating ambiguous environments to create structure, refine processes, and solve problems proactively as business needs evolve.
• Exceptional verbal and written communication skills: Ability to distill complex technical concepts into simple, actionable training and the presence to influence stakeholders at all levels of the organization.
• Team Player: Willing to pick up the slack for teammates when needed, and willing to show up in a collaborative manner.

Requirements

• 3+ years of experience in enablement, onboarding, or SaaS sales.
• Strong knowledge of CIAM and security landscapes, or strong aptitude for learning.
• Bachelor’s degree or equivalent practical experience as a requirement.
• Willingness to travel 10–15% as business needs require.

Okta's Core Leadership Competencies

Managers at Okta are expected to embody the following:

• Builds Effective Teams: Leveraging diverse skills to achieve common goals.
• Demonstrates Self-Awareness (EQ): Using feedback to gain insight into strengths and weaknesses.
• Develops Talent: Supporting career goals alongside organizational needs.
• Drives Results: Consistently achieving outcomes under tough circumstances.
• Strategic Mindset: Translating future possibilities into breakthrough strategies.

About Us MGT Insurance is modernizing the insurance industry with cutting-edge web technologies and user-centric design. We are seeking an Agentic Engineer with over 6 years of experience and a deep expertise in AI agents, LLMs, and autonomous system architectures to join our engineering, data science, and insurance product teams in building the next generation of self-directed insurance platform capabilities.

Position Overview As anAgentic Engineer, you will be responsible for designing, developing, and deploying sophisticated AI agent systems that can reason, plan, and execute complex insurance workflows autonomously. This role requires a combination of hands-on AI engineering, technical leadership, and strategic automation development to build intelligent agents that transform how our platform operates and serves customers.

Key Responsibilities

• Agentic System Architecture: Lead the design and implementation of multi-agent systems using LLMs, vector databases, and agent orchestration frameworks to create intelligent, goal-oriented automation.
• Reasoning & Planning Systems: Implement advanced reasoning capabilities including chain-of-thought processing, multi-step planning, and decision trees for complex insurance scenarios.
• Observability & Monitoring: Design comprehensive observability frameworks for agent systems including real-time performance metrics, decision tracing, and behavioral analytics to ensure full visibility into autonomous operations.
• Testing & Quality Assurance: Implement rigorous testing strategies for agentic systems including unit testing for agent components, integration testing for multi-agent workflows, and adversarial testing for edge cases and failure modes.
• Regulatory Compliance & Governance: Establish comprehensive governance frameworks that ensure agent decision-making processes meet insurance regulatory requirements including audit trails, explainability standards, fair lending compliance, and state insurance commission oversight requirements.

Qualifications

• Expertise in LLMs and Agent Frameworks including OpenAI GPT, Anthropic Claude, LangChain, CrewAI, or similar platforms for building autonomous AI systems.
• Strong software engineering background with proficiency in Python, TypeScript, and modern AI/ML deployment patterns including vector databases, embedding systems, and real-time inference.
• Experience with agent architecture patterns including ReAct, function calling, multi-agent coordination, and tool use frameworks for complex workflow automation.

Location: Candidates based in Madison, Wisconsin or San Francisco, California are preferred to facilitate close collaboration with our team.

Who We Are

• Small & Agile: We're a tight-knit engineering team of fewer than 10 people who move fast and make things happen
• High Agency: We operate with autonomy and ownership - everyone acts like a founder and drives meaningful impact
• Action-Oriented: We believe in "see something, do something" - no bureaucracy, just results
• Passionate Builders: We take pride in crafting elegant code, intuitive applications, and solving real problems
• Team First: We genuinely enjoy working together and believe great products come from great relationships
• Quality Focused: We ship code we're proud of and build systems that stand the test of time

What We Offer

• Competitive salary and benefits package.
• Leadership role in pioneering autonomous AI systems in the insurance industry.
• A unique opportunity to build cutting-edge agentic technology that transforms insurance operations.
• A collaborative and forward-thinking work environment at the intersection of AI and insurance.
• Continuous learning and career development opportunities in emerging AI technologies and autonomous system leadership.

Compensation Range: $175,000 – $300,000 annual base salary + bonus + equity (commensurate with experience and dependent on location)   

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

Director of Campaign Marketing

Location: Remote (CA or NY preferred)

Status: Full-time, Exempt

THE COMPANY:
At PAX Labs, we strive to enhance people’s lives through exceptional cannabis experiences.
Our curated set of pure full-flavor pods and award-winning devices makes enjoying
cannabis simple and safe. For more than a decade, we have created next-generation
devices that deliver enduring quality and wellness benefits through innovations in design
and technology, and remain trusted by millions of consumers nationwide. Our standards
allow for the safest vaporization of cannabis on the market. We are passionate about
increasing well-being and joy through the power of cannabis, and we are committed to
advancing opportunity through supporting social justice, access, and equity in the
industry.
We are incredibly excited about the tremendous growth of the cannabis industry, inspired
every day by how cannabis can change lives, and fortunate for our leading position in the
space. Our culture is focused on putting the consumer first, making an impact together,
and also having fun along the way!

SUMMARY
The Director of Campaign Marketing serves as the primary architect of PAX's go-to-market
campaign strategy — owning the full lifecycle from ideation through execution and
performance analysis. This leader translates brand and business objectives into culturally
resonant, data-driven campaigns that drive awareness, acquisition, and loyalty across
existing and emerging channels. This role reports to the VP of Marketing.

RESPONSIBILITIES

• Lead campaign ideation, planning, and execution for new product launches,
  seasonal releases, limited-time offers, and brand collaborations — ensuring all
  activity is aligned with commercial and partner objectives.
• Develop clear campaign briefs that define business objectives, target audiences,
  messaging hierarchy, and channel requirements
• Maintain a rolling 12-month campaign roadmap that helps the organization plan
  and resource effectively
• Champion big, culturally resonant ideas built for multi-channel extension across
  OOH, social, digital, retail, and experiential in support of e-commerce, wholesale,
  and retail channels
• Own end-to-end execution — coordinating across product, creative, channel,
  media, and legal to deliver on time and on budget
• Manage campaign timelines, budgets, and trafficking across paid, owned, and
  earned channels
• Act as the connective tissue between product, marketing, and commercial teams to
  ensure coherence across all touchpoints
• Conduct post-campaign analysis and translate findings into actionable
  improvements for future cycles
• Lead and develop a team of campaign marketers, fostering accountability, creative
  rigor, and continuous learning
• Leverage and grow a network of agency partners across creative, media, and
  influencer disciplines
• Please note that this job description is not designed to cover or contain a comprehensive
  listing of activities, duties, or responsibilities that are required of the employee for this job.
• Duties, responsibilities, and activities may change at any time with or without notice.

QUALIFICATIONS

•  15+ years of marketing experience with a demonstrated focus on campaign
  strategy and execution, ideally in a fast-moving consumer brand or agency
  Environment
• Proven track record of developing and launching integrated campaigns across
  digital, social, OOH, and retail channels
• Strong creative instincts paired with analytical discipline — comfortable evaluating
  ideas by both cultural resonance and performance potential
• Deep fluency in paid and owned digital channels, including social, programmatic,
  and content
• Experience managing campaign budgets, agency relationships, and cross-functional stakeholders
• New product launch experience required 
• Passion for and curiosity about the cannabis industry
• People leadership experience with a track record of developing direct reports
• Bachelor's degree required; MBA a plus

COMPENSATION

In addition to the benefits above, the salary for this role is $180,000-$200,000, plus the
opportunity to participate in the company equity and bonus programs. This represents
what we believe, in good faith, this role will pay. The final pay will depend on many factors,
including years and depth of experience, level, and location of the employee.

PAX VALUES
Put Consumers First:

• We are here to enhance their lives. We put their needs first in
  everything we do. We work together to deliver unique solutions for their benefit.
  Build a Community 
• We are active and beneficial builders of a global community. We
  collaborate together to support sustainability, well-being, and social equity efforts—both
  internally and externally—to establish cannabis as a force for good.
• Innovate with Passion - We are passionate about enhancing the cannabis experience by
  making it positive, accessible, and intuitive. We set the standards, innovate for consumers, and find the yes as a team.
• Be the Solution and Collaborate - We work as a team to achieve winning outcomes,
  knowing we each individually are the solution, but can only succeed together.
• Lead with Humility and Transparency - We stay open and humble in everything we do.
• We value learning from each other, and cultivate transparency in our culture and
  Products.
• We will ensure that individuals with disabilities are provided reasonable accommodation
  to participate in the job application or interview process, to perform the essential job
  functions, and to receive other benefits and privileges of employment. Please contact us
  to request accommodation.

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. 

Partner Marketing Manager, Technology Partnerships

About the Role

As a Partner Marketing Manager for Technology Partnerships, you will be the demand generation architect behind Okta’s most strategic ISV partnerships. You are not just a marketer; you are a business leader responsible for defining how Okta and our leading technology partners win together in the market.

Reporting to the Senior Director of Global Partner Marketing, you will operate with a high degree of autonomy, leading the end-to-end GTM strategy for a portfolio of Tier-1 technology partners. You are responsible for bringing joint innovation to market—including the development and launch of AI integrations with large platform partners—and ensuring these efforts translate into measurable pipeline and revenue impact. You will bridge product and sales, connecting technical integrations to clear customer value and scalable go-to-market execution.

Key Responsibilities

Strategic GTM & Field Activation

• Own the Strategy: Develop and execute the joint marketing strategy for Okta and with key ISV partners including Zscaler, Crowdstrike, Google and more, to drive new leads, increase consumption, and amplify our message in the market.
• GTM Narrative Activation: Partner with Product Marketing to "field-proof" joint messaging. You are responsible for taking high-level technical value propositions and transforming them into actionable, high-conversion marketing assets (e.g., co-branded pitch decks, solution briefs, and sales plays) that resonate with Okta’s global sales force.
• Integrated Campaign Architecture: Lead the design and global rollout of complex multi-partner and multi-channel "Always-On" marketing programs to create unified messaging, value propositions, and joint campaign architecture that captures new market opportunities. You own the strategy for how the joint solution is positioned across webinars, digital demand gen, and major third-party events (e.g., RSAC, Zenith Live, Fal.Con).
• AI Integration Launches: Support the GTM strategy and execution for joint AI integrations with large platform partners, from launch planning through field activation. Ensure these innovations are clearly positioned, enabled for sales, and translated into scalable demand generation and pipeline impact.
• Market Positioning: Act as the subject matter expert (SME) on the competitive landscape of your partner category, ensuring Okta remains the "integration of choice" for the ecosystem.
• Ecosystem Campaign Intelligence: Monitor the performance of joint marketing plays and provide a "feedback loop" to PMM and Product. You identify which narratives are actually driving pipeline in the field and which need to be pivoted based on real-world buyer behavior.

Ecosystem Scale & Influence

• Executive Alignment: Build and maintain high-level relationships with marketing and product leaders at partner organizations to secure premium sponsorship, co-marketing budget, and roadmap alignment.
• Influence and Align Cross-Functionally: Embed our ISV partnerships within Okta’s highly cross-functional working teams, collaborating across alliances, product marketing, field marketing, demand gen, content, PR, and social.
• Global Playbook Development: Design "Scale" packages—repeatable marketing assets and frameworks—that allow regional marketing teams in EMEA and APJ to execute partner motions with speed and consistency.

Revenue & Performance Management

• Pipeline Accountability: Own the "Partner-Influenced Pipeline" and “Marketing Attached” targets. You will be responsible for the health of the funnel generated through co-marketing activities.
• Data-Driven Optimization: Utilize SFDC, Tableau, and Crossbeam to track ecosystem overlap, measure campaign attribution, and provide regular "State of the Union" reports to leadership. 

Qualifications

• Strategic Experience & Domain Expertise: 6+ years of experience in B2B tech marketing or alliances, ideally within high-growth SaaS environments. You possess a deep understanding of the Identity, Security, or Cloud Infrastructure landscape and can comfortably navigate technical concepts and translate them into business value.
• GTM Orchestration & "Big Picture" Thinking: Proven ability to move beyond one-off tactics to build global "marketing engines." You think in systems and playbooks, with a demonstrated knack for re-imagining how Okta and our partner ecosystem deliver compounding value to customers.
• The "Own It" Mentality: A proactive, high-autonomy leader with a bias for action. You exhibit the rare ability to think strategically about full-funnel pipeline development while remaining "hands-on" to troubleshoot tactics and ensure initiatives deliver tangible ROI.
• Exceptional Influence & Communication: A natural storyteller and persuasive communicator. You are skilled at distilling complex technical integrations into punchy, benefit-driven messaging and are equally effective at presenting to C-suite stakeholders as you are to technical audiences.
• Cross-Functional Leadership Excellence: Mastery of the matrixed environment. You have a proven track record of leading "v-teams" (virtual teams) across PMM, Enablement, and Alliances without direct authority, driving alignment and execution across diverse internal and external stakeholders.
• Educational Foundation: Bachelor’s degree in Marketing, Business, or a related field; or equivalent practical experience in the technology sector.

#LI-Hybrid

(P12589_3413813)

*For this opening we are looking for undergraduate Seniors graduating Winter 2025/Spring 2026*

The Financial Advisory Analyst is a critical member of the relationship management team for high net worth and ultra-high net worth clients. This role sits within ICONIQ Investment Management which strives to deliver exceptional investment portfolios by harnessing the differentiated capital and strategic strength of the ICONIQ community.

Must be able to start July 27th, 2026 and work in our San Francisco office.

What You’ll Do:

• Prepare client balance sheets and develop asset allocation analyses.
• Monitor client investment performance and manage quarterly portfolio reports, ensuring accuracy and consistency.
• Develop a deep understanding of portfolio construction, asset classes, investment products, macroeconomics, client customizations, and professional communication.
• Perform ad hoc analyses for clients’ financial and estate planning needs.
• Participate in equity and option trading activities with increasing responsibilities for investment execution.
• Gather, prepare, and coordinate client tax data and documentation.
• Be exposed to and involved in direct private investments, client interactions, and other critical family office operations.

Ideal Candidate Background: 

• Bachelor’s degree with a minimum 3.2 GPA
• Organized and detail-oriented with ability to manage and complete multiple tasks simultaneously
• Proactively and independently solve problems while exercising sound judgment
• Demonstrated passion in high-touch client service and the utmost adherence to confidentiality
• Strong communication skills both written and verbal
• Excellent interpersonal skills, enthusiasm and a strong aptitude for learning
• Expressed interest in a career in Private Wealth Management

What We Offer:

• Comprehensive Medical, Dental and Vision Insurance.
• Life and disability insurance coverage as well as family and wellness benefits including mental health benefits, fertility benefits, and back-up child care.
• A matching 401(k) program.
• Commuter Benefits program.
• Wellness stipend, cell phone stipend, and Wi-Fi stipend.
• We support employees who wish to pursue professional designations/certifications and offer tuition reimbursement in addition to an allocation for books and other supplies needed for an individual's coursework.
• Generous referral bonus to employees if they refer someone who is hired to the firm.
• Smart-casual dress code.

Location: Applicants are expected to work onsite in our San Francisco office in accordance with our hybrid working policy.

Compensation Range: ICONIQ is required by law to include a reasonable estimate of the salary range for this role, together with other compensation being offered such as a discretionary bonus, health insurance, and other perks. There are several factors taken into consideration in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At ICONIQ, we apply a total reward philosophy where all aspects of compensation and benefits are taken into consideration in determining compensation terms. A reasonable estimate of the current salary range is $95,000 - $105,000 together with the comprehensive benefits listed above.

The Application Modernization Platform (AMP) team is tackling one of the industry's most critical challenges: leveraging Generative AI to transform rigid, legacy applications into modern, microservices-based architectures powered by MongoDB.

We are building a comprehensive, SaaS-like platform, encompassing both the "brain" (multi-agent reasoning and orchestration) and the "hands" (the deployment platform and modernization toolset). This solution requires a robust platform foundation and infrastructure designed for a "build once, run anywhere" model, ensuring seamless operation regardless of a client's security or network constraints. A key challenge is balancing the need to tune our tools for each customer's unique tech stack and restrictive environments with making them easily extensible and scalable for common application modernization challenges.

We seek an engineering leader for this high-visibility initiative. This role requires defining the high-level strategy and technical direction across all AMP engineering pillars, leading the execution of solving uniquely complex application modernization puzzles, and delivering an enterprise-grade product. The leader will minimize deployment friction, meet customer compliance requirements, and help shape the future of how global enterprises leverage GenAI.

The ideal candidate is a hands-on technical leader who excels at leveraging GenAI capabilities, architecting complex distributed systems, and designing the orchestration agents necessary to reliably and fluidly run the entire software development lifecycle.

This role will be based in North America's West Coast (PST), and offers a hybrid working model.

The ideal candidate for this role will have

• 10+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure
• Deep experience in building data warehouses and core components for data processing systems
• Have experience in using GenAI in building complex large-scale systems, and know what GenAI is best suited to do
• Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation
• 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results
• Excellent verbal and written technical communication skills and a strong desire to collaborate cross-functions
• Excellent time and project management skills including the ability to make realistic assessments of project cost and complexity
• Curiosity, a positive attitude, and a drive to continue learning, in particular building AI skillset

Key Responsibilities

• Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement
• Provide thought leadership, and execute AMP roadmaps to influence and shape the future of how global enterprises leverage GenAI
• Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the workflow of application modernization stages
• Lead the team design and leverage GenAI to build reliable and scalable building blocks that are extendable and easy to assemble to an autonomous workflow
• Collaborate with MongoDB product teams to ensure the modernized applications integrate seamlessly with customers’ database ecosystem
• Act as a hands-on leader, guiding the team through technical challenges related to where and how to leverage GenAI to build the critical building blocks of application modernization toolset

Success Measures

Within the first three months, you will have:

• Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments
• Established yourself as the technical leader within the team, actively driving engineering strategy and key technical decisions
• Begun collaborating with team leaders (TLs, managers) of AMP org and product counterparts on designing/improving the orchestration framework and the workflow components it manages
• Developed a comprehensive grasp of all AMP pillars and their roadmap

Within six months, you will have:

• Influenced AMP product and engineering leads on key technical decisions, and set clear direction for the team
• Successfully led the team to making substantial progress on the “big rock” deliverables and critical milestones of AMP product, enabling the team to smoothly land the planned roadmap
• Owned and delivered some key pieces of AMP orchestration framework and the workflow components it manages
• Served as a role model and strategic leader for the AMP org
• Contributed to establish engineering excellence standards for the team, and began mentoring and providing technical guidance to team members

Within 12 months, you will have:

• Become recognized as the strategic engineering leader both within and outside of the AMP organization
• Helped senior leadership (e.g., Directors/VP) on defining the technical strategy and roadmap for the future
• Enabled the team to deliver a stable, production-ready platform that supports autonomous application modernization workflow for our Field Engineering teams
• Drove the adoption of engineering excellence, making it a core tenet of the team's culture and operations
• Contributed to the development of tech leads within the team, fostering growth opportunities. Played a key role in shaping the AMP organization into a self-driving high-performing engineering team

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req. ID: 1273362664

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

About You and The Role  

Zipline is looking for a Senior Flight Test Engineer to lead comprehensive flight test campaigns and integrate automated testing infrastructure into our flight test program. Your work will help enable Zipline to continuously test, learn, and deploy improvements to our global delivery service.

In this role, you will develop a deep understanding of Zipline’s end-to-end logistics system and work closely with cross-functional partners to generate rapid insights into changes across hardware, software, and operations. Your work will serve as the final line of defense before software and hardware are deployed globally to perform critical real-world deliveries.

You’ll own system-level flight test campaigns from planning through execution and analysis. This role is ideal for someone who enjoys translating complex engineering questions into effective test programs and using data and automation to accelerate learning.

Do you enjoy designing system-level test campaigns and owning the outcome end-to-end? Are you collaborative and motivated to integrate the needs of multiple engineering teams into a unified test strategy? Are you passionate about bringing automation, tooling, and data analytics into flight testing to increase speed and insight? If so, we’d love to hear from you.

What You'll Do  

• Develop and execute flight test campaigns to validate aircraft performance, delivery operations, docking systems, and fleet orchestration.
  
  
• Ensure flight testing is used for the highest-value learning opportunities, and recommend alternative test approaches when more efficient methods exist.
  
  
• Collaborate with electrical, mechanical, and software teams to define system-level flight test objectives and success criteria.
  
  
• Assess hardware and software readiness for testing and make sound judgments on risk posture and flight readiness.
  
  
• Identify and remove technical and programmatic roadblocks that slow down flight testing.
  
  
• Own or coordinate key aspects of flight operations, including preflight preparation, flight execution, and incident reporting.
  
  
• Analyze flight test data to identify anomalies, trends, and opportunities for rapid iteration.
  
  
• Track test progress and introduce new tools, processes, and workflows that enable safe and efficient testing.
  
  
• Develop and integrate software tooling and automated test infrastructure to improve test precision, insight, capacity, and velocity.
  
  
  

What You'll Bring 

• 3+ years designing, developing or validating autonomous, robotic, systems (UAS experience preferred).
  
  
• Experience maintaining and enforcing safety in a fast-paced and rapidly evolving environment.
  
  
• Strong experience analyzing and interpreting test data.
  
  
• Experience bringing up and debugging hardware and software systems for automated platforms.
  
  
• A systems-level mindset, with the ability to balance risks and priorities across structures, aerodynamics, embedded systems, and software teams.
  
  
• Strong judgment on when to move quickly with pragmatic solutions and when to invest in long-term infrastructure or tooling.
  
  
• Willingness to travel domestically and internationally for flight testing (approximately 2–6 weeks per year).
  
  
• Comfort working outdoors and supporting flight test activities in varying weather conditions.
  
  

What Else You Need to Know  

The starting cash range for this role is $130,000 - $200,000. Please note that this is a target, starting cash range for a candidate who meets the minimum qualifications for this role. The final cash pay for this role will depend on a variety of factors, including a specific candidate's experience, qualifications, skills, working location, and projected impact. The total compensation package for this role may also include: equity compensation; overtime pay; discretionary annual or performance bonuses; sales incentives; benefits such as medical, dental and vision insurance; paid time off; and more.

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state, federal or local law or our other policies.

We value diversity at Zipline and welcome applications from those who are traditionally underrepresented in tech. If you like the sound of this position but are not sure if you are the perfect fit, please apply!