About the Team

The Discovery team is organized around the north star of building an AI scientist — a system capable of solving the long-horizon reasoning challenges and core capabilities needed to push the scientific frontier. The team trains large-scale models, runs complex multi-week experiments, and builds novel products at the intersection of AI and science.

About the Role

As a Technical Program Manager on the Discovery team, you will own the systems and programs that determine how fast our research moves: compute planning, scientific RL environment health, and the vendor pipelines that supply them, with scope to incubate new programs in domains like bio R&D. Strong candidates should have an ML engineering or research background and have grown into program leadership. You'll need real technical depth: the ability to debug data pipelines, read RL transcripts to spot issues, and make allocation and quality decisions in real time when experimental or production runs hit problems. You'll need organizational effectiveness in equal measure: the ability to navigate a fast-growing organization, quickly identify the critical people and teams across research, infrastructure, product, and data operations, and coordinate across them without losing velocity.

Join us in our mission to build AI systems that push the frontiers of science and benefit humanity.

Responsibilities

• Manage Discovery's compute planning across supervised learning (SL), reinforcement learning (RL), and sandboxing workloads, including forecasting, allocation, prioritization, and efficiency improvements. Partner with central compute planning to ensure Discovery's needs are represented and met.
• Monitor the health of scientific RL environments (quality, reward integrity, failure rates) and drive issues to resolution.
• Expedite the external vendor pipeline for RL environments, including quality review, reward design, and production integration.
• Work with research teams across life sciences, STEM, and other scientific domains to translate research goals into roadmaps that advance AI scientist capabilities.
• Establish processes and frameworks that bring structure to an unstructured research setting without slowing researchers down.
• Collaborate with research leads, infrastructure engineers, and data operations to identify blockers, prioritize competing needs, and make technical trade-off decisions.

You May Be a Good Fit If You:

• Have a background in ML engineering, ML research, or STEM R&D before transitioning to technical program management
• Have deep, hands-on experience with ML training pipelines, RLHF systems, and large-scale data infrastructure in production.
• Have a track record of building execution plans and inventing high-leverage processes that reduce operational overhead and let researchers focus on research.
• Are a fast learner who builds deep contextual understanding in unfamiliar technical domains and can contribute meaningfully to discussions with researchers.
• Are resourceful, high-agency, and able to navigate ambiguity and shifting priorities to drive progress in a fast-moving research setting
• Have excellent stakeholder management and communication skills, with the ability to influence senior technical staff through clarity, competence, and consistent delivery.
• Are excited about the potential for AI to accelerate scientific discovery

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

What you’ll do

Responsibilities

• Apply statistical, time series forecasting and machine learning models on large datasets to predict future performance of users or products.
• Partner closely with Sales and Data Science teams to identify important questions and answer them with data. 
• Design, implement and launch data science solutions using Python and R to empower data-driven decisions and products at scale. 
• Create analyses that generate insights for business teams.
• Design, analyze, and interpret the results of experiments. 
• Build ETL data transformation pipelines in SQL.

Who you are

Minimum requirements

Must have a Master's degree or foreign equivalent in Computer Science, Business Analytics, Statistics, or a related quantitative field, plus 3 years of experience in a Data Scientist or related occupation. 

• 3 years of experience building ETL data transformation pipelines in SQL;
• 3 years of experience working closely with product and business teams to identify important questions and answer them with data;
• 2 years of experience productionalizing and implementing machine learning models;
• 2 years of experience productionalizing and implementing software products;
• 2 years of experience designing, analyzing, and interpreting the results of experiments;
• 2 years of experience designing, and analyzing software architectures;
• 2 years of experience designing, implementing, and launching data science solutions;
• 2 years of experience designing, implementing, and launching software solutions; and
• 2 years of experience applying statistical and machine learning models on large datasets to predict future performance of users or products.

Salary : $192,000 - $288,000/yr.

This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week

50% Telecommuting Permitted.

Multiple Positions Available.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA04 #LI-DNI

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team & role

Stripe is looking for a senior product strategist-operator to join the Strategic Business Performance (SBP) team. SBP is the "connective tissue" of Stripe. You will have a front-row seat to how the company operates and a direct hand in ensuring we hit our most important goals. If you are a technical strategist who loves to move fast and fix high-stakes problems, we’d love to hear from you.

SBP is a small, high-leverage group within Central Strategy & Operations at Stripe. Our mission is to create strategic clarity around Stripe’s performance. We work with partner teams to report on the business; dive into it to support and pressure-test our strategy, driving change wherever we find soft spots and enabling the success of other teams. 

We are looking for someone who connects across data, financials and product & business strategy. and can unearth a signal in the noise and either fix the problem directly or convene the right people to fix it fast.

What you’ll do

In this role, you will work cross-functionally within our group and across Stripe’s technical and user-facing teams to solve problems and design workflows that benefit our users. Specifically:

• Own the "Signal": You will define and maintain the metrics that actually matter for in-year performance. You’ll develop a "morning read" discipline—a curated, high-signal view of the business that drives immediate action, moving far beyond standard dashboarding.
• Deep-Dive Interventions: You will lead  "surge" projects to diagnose and unblock critical goals at risk. You aren't just identifying problems; you are staying in the arena until the trajectory has measurably changed.
• Bridge Product & Strategy: You will translate long-horizon corporate theses into in-year operational reality. You’ll take ambiguous opportunities that cut across product, risk, and marketing and decompose them into structured workstreams.
• Synthesize for Leadership: You’ll think ahead of our executive team, preparing CEO/COO-level materials that translate unstructured signals into structured diagnoses they can act on.
• Pressure-test our Assumptions: You’ll work closely with Corporate Strategy and Product teams to identify gaps between our external market forces and our internal execution.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 12+ years of experience in product/data analytics within product organizations or strategic business performance teams at high-growth tech companies.
• Experience in Product Strategy, Product Management, or GM-style roles where you owned a P&L or a specific business outcome.
• Deeply curious about business models and data, probing into signals, understanding trends and customer usage patterns to uncover novel insights
• A proven track record of directly driving business growth through analytical insights and execution.
• Apply AI to enhance decision-making and operational efficiency, know when and how to use the right AI tools to move faster without sacrificing rigor or quality.
• Strong product sense and the ability to understand the technical mechanics of how software products are built and scaled.
• Experience navigating ambiguous, cross-functional problems and leading high-stakes interventions with senior stakeholders.
• Prior experience with fintech products or complex financial systems is a plus, but not required.
• Experience facilitating senior leadership/ stakeholder meetings to drive meaningful conversations regarding Stripe’s business performance.

Preferred qualifications 

• Payments ecosystem, or experience in finance or fintech is a plus
• Ability to build trust and partner with senior leaders and CXOs
• Technical proficiency in SQL  / Python / R and data analysis; ability to self-serve and perform independent deep-dives into complex datasets.
• Experience driving creative solutions with and effectively informing the roadmap of cross-functional teams 
• Ability to understand the implications of Stripe ships such as product features, policy changes, and marketing outreach on the user experience and resulting support experience

Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. 

Forge the Future: Join Voyager Technologies 

The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.  

You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality. 

If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. 

____________________________________________________________________________________ 

Job Summary: 

We are seeking a Senior Technical Director, Spectrum Dominance to serve as the senior technical leader for our advanced RF systems, software, and algorithms portfolio. In this pivotal role, you will drive the technical vision for the future of electromagnetic warfare and sensing.

We are looking for a passionate human who can lead and execute the development of advanced RF systems from concept to reality. The right person has deep familiarity with hardware, software, and algorithms across a variety of RF functions, including but not limited to communications, electronic warfare (EW), radar, and sensing. You must be as comfortable defining and executing complex research and development programs as you are productizing the outcomes of those efforts into monetizable commercial motions.

This is a high-impact leadership role that requires a rare blend of deep technical expertise in RF engineering and the strategic ability to lead multi-disciplinary teams. You will not just be overseeing research; you will be responsible for ensuring that our R&D investments translate into deployable, mission-critical capabilities for the warfighter.

You will be joining the Advanced Technology Development team, a specialized unit within our Strategic Growth and Technology Organization. This team is responsible for defining and developing Voyager's future technologies, with a relentless focus on high-impact, high-ROI technology and product research and development. Our technology portfolio spans the totality of Voyager's capabilities and beyond—we are tasked with creating both leap-ahead capabilities in existing technology areas and strategically moving into and developing foundational technology in new, uncharted areas.

Responsibilities:  

• Technical Leadership & Vision: Define and drive the technical roadmap for Voyager’s Spectrum Dominance portfolio. You will serve as the ultimate technical authority for our RF, EW, and sensing programs, setting the standard for engineering excellence.
• R&D Execution: Lead the execution of complex, high-stakes research and development programs. You will oversee the design, analysis, and testing of next-generation systems, ensuring that technical risks are managed and innovative solutions are delivered on schedule.
• End-to-End System Architecture: Architect complete RF systems, bridging the gap between digital signal processing (DSP) algorithms, software-defined radio (SDR) hardware, and high-level mission software. You will ensure seamless integration across the entire signal chain.
• Productization: Bridge the "valley of death" by guiding technologies from TRL 3-6 research efforts into robust, productized solutions ready for manufacturing and deployment. You will work closely with product and business teams to define commercialization strategies.
• Team Building & Mentorship: Build and inspire a world-class engineering team. You will mentor senior engineers and researchers, fostering a culture of technical rigor, creativity, and rapid iteration.
• Cross-Functional Collaboration: Partner with business development and capture teams to shape new opportunities, providing the technical grounding necessary to win major government contracts.

Required Qualifications:  

• Bachelor's Degree in Electrical Engineering, Physics, Mathematics, or a related field.
• Must be eligible to obtain and maintain a US Government clearance (requires US citizenship)
• Proven experience in one or more of the following sub-disciplines:
• Deep RF & Systems Expertise: Proven background in designing and developing complete end-to-end RF systems (both RF front-ends and digital subsystems). You understand the physics of the spectrum and the hardware required to dominate it.
• SDR Proficiency: Extensive experience designing and developing complex software-defined radio (SDR) systems, including familiarity with modern transceiver architectures and FPGA/SoC platforms.
• Algorithm Development: Strong track record in designing and developing complex digital signal processing (DSP) and RF Machine Learning (RFML) algorithms. You understand how to apply modern compute to solve traditional RF problems.
• R&D Leadership: Demonstrated experience leading multi-disciplinary engineering teams (Hardware, Software, RF, FPGA) through the full lifecycle of advanced R&D programs, from white paper to prototype.
• Domain Expertise: Demonstrated background fielding capability in one of the relevant spectrum dominance domains: SIGINT, EW, or Radar.
• Programmatic Execution: Familiarity with the unique challenges of government R&D contracting, including experience delivering against technical milestones for customers like DARPA, ONR, and AFRL.
• Proposal Development: Proven proposal development experience, including contributing to technical volumes and cost estimations for complex government solicitations.

Preferred Qualifications:  

• Master’s or PhD in Electrical Engineering, Physics, Mathematics, or a related field.
• Active U.S. Top Secret Security Clearance.
• Experience productizing advanced R&D into monetizable commercial motions, demonstrating a track record of turning science projects into shipping products.
• Demonstrated history of leading winning proposals.
• Willingness to travel up to 25% to customer sites, test ranges, and Voyager locations.

Please click “Apply” to submit your application. 

Voyager offers a comprehensive, total compensation package, which includes competitive salary, a discretionary annual bonus plan, paid time off (PTO), a comprehensive health benefit package, retirement savings, wellness program, and various other benefits. When you join our team, you’re not just an employee; you become part of a dynamic community dedicated to innovation and excellence. 

Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.  

Minority/Female/Disabled/Veteran 

The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. 

Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. 

Forge the Future: Join Voyager Technologies 

The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.  

You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality. 

If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. 

____________________________________________________________________________________ 

Job Summary: 

We are seeking a Senior Technical Director, Advanced Mission Critical Electronics to define and lead the development of our next-generation computing, sensing, and communications architectures.

This role requires a leader who challenges the status quo of "traditional space." We are looking for an expert who champions the adoption of modern, commercially derived electronics (COTS) for spaceborne applications over legacy "rad-hard by design" practices. You will drive the development of systems that span defense and commercial applications across all domains—from surface to airborne—with a specific, intense focus on spaceborne applications at all orbits (LEO, MEO, GEO, and cislunar).

You will be joining the Advanced Technology Development team, a specialized unit within our Strategic Growth and Technology Organization. This team is responsible for defining and developing Voyager's future technologies, with a relentless focus on high-impact, high-ROI technology and product research and development. Our technology portfolio spans the totality of Voyager's capabilities and beyond—we are tasked with creating both leap-ahead capabilities in existing technology areas and strategically moving into and developing foundational technology in new, uncharted areas.

Responsibilities:  

• Define Electronics Strategy: Create the technical roadmap for Voyager’s mission-critical electronics portfolio, covering high-performance edge computing, software-defined radios, and advanced sensor suites.
• Architect for Space: Lead the transition from traditional, expensive, low-performance rad-hard components to resilient architectures that utilize modern automotive and industrial-grade silicon. You will define hybrid hardware/software fault tolerance architectures, leveraging a mix of circuit-level protections (latch-up limiting, ECC) and software-defined mitigation (scrubbing, checkpointing, algorithmic redundancy) to enable state-of-the-art performance in orbit.
• Cross-Domain Integration: Ensure that electronic subsystems are designed for modularity and scalability, capable of being deployed on a ground vehicle, a high-altitude drone, or a satellite with minimal redesign.
• Lead Hardware/Software Convergence: Bridge the gap between electrical engineering and software teams to co-design for reliability. You will ensure that hardware is designed "software-first," enabling rapid updates, modern CI/CD workflows, and intelligent software recovery layers that can handle hardware upsets transparently.
• Technical Execution: Oversee the full lifecycle of electronics development, from schematic capture and PCB layout reviews to thermal analysis, radiation testing, and final flight qualification.

Required Qualifications:  

• Bachelor's Degree in Electrical Engineering, Computer Engineering, or Physics.
• Must be eligible to obtain and maintain a US Government clearance (requires US citizenship)
• Electronics Leadership: 10+ years of experience leading the development of complex electronics hardware, including high-speed digital design, FPGA/SoC integration, and power systems.
• Spaceborne Architecture: Prior experience designing rad-hard and rad-tolerant systems. You understand the specific challenges of the space environment (TID, SEE, thermal vacuum) and how to mitigate them using system architecture rather than just component selection.
• Combined HW/SW Fault Tolerance: Deep expertise in architecting high-reliability systems using commercial silicon. You demonstrate a mastery of trading off hardware complexity (Triple Modular Redundancy, hardware watchdogs) against software overhead (voting logic, health monitoring, error correction) to achieve mission assurance.
• Modern "New Space" Philosophy: Experience leveraging commercial off-the-shelf (COTS) components for high-reliability applications. You have a history of balancing risk, cost, and performance to deliver capabilities that legacy systems cannot match.
• Software Development Literate: Practical experience in modern full-stack software development and associated tools. You are comfortable reviewing code and utilizing modern workflows, including:
• Full Lifecycle Experience: Proven track record of taking complex electronics from concept through prototyping, qualification testing, and volume production.

Preferred Qualifications:  

• Master’s or PhD in Electrical Engineering, Computer Engineering, or Physics.
• Prior experience building and fielding electronics for modern commercial spacecraft (e.g., mega-constellations or high-performance smallsats).
• Active U.S. Top Secret Security Clearance.
• Experience productizing advanced R&D into monetizable commercial motions.
• Willingness to travel up to 25% to testing facilities and launch sites.

Voyager offers a comprehensive, total compensation package, which includes competitive salary, a discretionary annual bonus plan, paid time off (PTO), a comprehensive health benefit package, retirement savings, wellness program, and various other benefits. When you join our team, you’re not just an employee; you become part of a dynamic community dedicated to innovation and excellence. 

Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.  

Minority/Female/Disabled/Veteran 

The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. 

Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. 

Forge the Future: Join Voyager Technologies 

The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.  

You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality. 

If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. 

____________________________________________________________________________________ 

Job Summary: 

We are seeking a Principal Technical Director, AI-Enabled Spectrum Dominance to serve as the senior technical leader for our advanced RF systems, software, algorithms, and agentic AI portfolio as applied to space-based and terrestrial electromagnetic warfare and sensing. In this pivotal role, you will drive the technical vision for the future of spectrum dominance while simultaneously leading the application of Voyager’s Agentic Computational Engineering (ACE) platform to RF hardware systems and digital signal processing (DSP) development.

This role uniquely combines deep RF domain expertise with leadership over AI-driven hardware design and simulation workflows. You will oversee how agentic AI systems are deployed to compress RF hardware development cycles—from antenna design and transceiver architecture to DSP algorithm development and system-level integration—accelerating the path from concept to deployable, mission-critical capability for the warfighter.

The right person has deep familiarity with hardware, software, and algorithms across a variety of RF functions, including communications, electronic warfare (EW), radar, and sensing, with particular emphasis on space-based active and passive RF systems. You must be as comfortable defining and executing complex research and development programs as you are productizing outcomes into monetizable commercial motions. You must also have the vision and technical fluency to direct how multi-agent AI platforms transform traditional RF engineering workflows.

You will be joining the Advanced Technology Development team, a specialized unit within our Strategic Growth and Technology Organization. This team is responsible for defining and developing Voyager’s future technologies, with a relentless focus on high-impact, high-ROI technology and product R&D. You will work at the intersection of Voyager’s Spectrum Dominance portfolio and the Agentic Computational Engineering (ACE) team—the group building Voyager’s Generative Engine, the AI-native platform that compresses complex hardware development cycles from years to days.

You will be joining the Advanced Technology Development team, a specialized unit within our Strategic Growth and Technology Organization. This team is responsible for defining and developing Voyager's future technologies, with a relentless focus on high-impact, high-ROI technology and product research and development. Our technology portfolio spans the totality of Voyager's capabilities and beyond—we are tasked with creating both leap-ahead capabilities in existing technology areas and strategically moving into and developing foundational technology in new, uncharted areas.

Responsibilities:  

• Technical Leadership & Vision

  • Define and drive the technical roadmap for Voyager’s Spectrum Dominance portfolio, serving as the ultimate technical authority for RF, EW, radar, and sensing programs—with specific emphasis on space-based active and passive RF systems.
  • Set the strategic direction for applying Agentic Computational Engineering to RF hardware design, DSP algorithm development, and end-to-end RF system integration.
  • Own the vision for how AI agents are used across the RF hardware design lifecycle, from generative antenna and front-end design through automated DSP algorithm synthesis and simulation-in-the-loop optimization.

  Agentic Computational Engineering for RF & DSP

  • Lead and oversee the deployment of Voyager’s ACE platform (the Generative Engine) for RF-specific applications, ensuring AI agents can autonomously design, simulate, evaluate, and optimize RF hardware and DSP subsystems.
  • Direct the development of domain-specific AI agents for RF engineering workflows—including agents for electromagnetic simulation, transceiver architecture exploration, waveform design, interference analysis, and signal chain optimization.
  • Partner with the ACE platform team to define requirements for agent orchestration, physics simulation integration (EM solvers, thermal analysis, signal integrity), and design-for-manufacturing constraints specific to space-qualified RF hardware.
  • Establish automated simulation loops between RF/DSP design agents and high-fidelity physics solvers, including meshing, solving, and post-processing for antenna patterns, RCS analysis, link budgets, and spectral performance.
  • Drive adoption of AI-first workflows across the RF engineering organization, championing use of LLM-based tools and agents to accelerate documentation, design review, test planning, and compliance verification.

  R&D Execution

  • Lead the execution of complex, high-stakes research and development programs for next-generation space-based and terrestrial RF systems, ensuring technical risks are managed and innovative solutions are delivered on schedule.
  • Oversee the design, analysis, and testing of advanced RF systems including satellite communications payloads, space-based SIGINT/ELINT collectors, synthetic aperture radar (SAR), and passive RF sensing architectures.

  End-to-End System Architecture

  • Architect complete RF systems bridging DSP algorithms, software-defined radio (SDR) hardware, FPGA/SoC platforms, and high-level mission software, ensuring seamless integration across the entire signal chain for both space and ground segments.
  • Define system architectures for space-based RF payloads that account for the unique constraints of the orbital environment: radiation tolerance, thermal management, power budgets, size/weight limitations, and long-duration mission reliability.

  Productization & Commercialization

  • Bridge the “valley of death” by guiding technologies from TRL 3–6 research efforts into robust, productized solutions ready for manufacturing and deployment. Work closely with product and business teams to define commercialization strategies.
  • Leverage agentic AI capabilities to accelerate productization timelines, using the Generative Engine to rapidly iterate on design variants and manufacturing-ready configurations.

  Team Building & Mentorship

  • Build and inspire a world-class engineering team spanning RF hardware, DSP, and AI-enabled design disciplines. Mentor senior engineers and researchers, fostering a culture of technical rigor, creativity, and rapid iteration.
  • Grow and lead a multidisciplinary team that includes RF engineers, DSP developers, and AI/ML engineers working collaboratively on agentic RF design capabilities.

  Cross-Functional Collaboration

  • Partner with business development and capture teams to shape new opportunities, providing technical grounding to win major government contracts.
  • Collaborate with the ACE platform team, propulsion, electronics, and manufacturing domain teams to ensure RF-specific agentic capabilities integrate seamlessly with Voyager’s broader Generative Engine ecosystem.

Required Qualifications:  

• Bachelor’s degree in Electrical Engineering, Physics, Mathematics, or a related field.
• Must be eligible to obtain and maintain a US Government clearance (requires US citizenship).
• Space-Based RF Systems Expertise: Demonstrated background in the design, development, and deployment of space-based active RF systems (such as satellite communications transponders, SAR payloads, space-based radar, or active phased arrays for orbital platforms) and/or passive RF systems (such as space-based SIGINT/ELINT collectors, radiometers, or passive sensing payloads). Must have direct experience with the unique constraints of the space environment, including radiation hardening, thermal management, power budgeting, and long-duration reliability.
• Deep RF & Systems Expertise: Proven background in designing and developing complete end-to-end RF systems (both RF front-ends and digital subsystems). Deep understanding of the physics of the spectrum and the hardware required to dominate it across communications, EW, radar, and sensing domains.
• SDR Proficiency: Extensive experience designing and developing complex software-defined radio (SDR) systems, including familiarity with modern transceiver architectures and FPGA/SoC platforms.
• Algorithm Development: Strong track record in designing and developing complex digital signal processing (DSP) and RF Machine Learning (RFML) algorithms. Understands how to apply modern compute—including AI/ML techniques—to solve traditional RF problems.
• R&D Leadership: Demonstrated experience leading multi-disciplinary engineering teams (Hardware, Software, RF, FPGA, AI/ML) through the full lifecycle of advanced R&D programs, from white paper to prototype to deployment.
• Domain Expertise: Demonstrated background fielding capability in one or more of the relevant spectrum dominance domains: SIGINT, EW, or Radar, with preference for space-based applications.
• Programmatic Execution: Familiarity with the unique challenges of government R&D contracting, including experience delivering against technical milestones for customers like DARPA, ONR, AFRL, NRO, or the Space Force.
• Proposal Development: Proven proposal development experience, including contributing to technical volumes and cost estimations for complex government solicitations.

Preferred Qualifications:  

• Master’s or PhD in Electrical Engineering, Physics, Mathematics, or a related field.
• Active U.S. Top Secret / SCI Security Clearance.
• Direct experience with space-based RF payload programs (design, integration, test, and on-orbit operations) for DoD or Intelligence Community customers.
• Experience with or strong interest in AI-driven engineering workflows, including agentic AI systems, LLM-based design tools, automated simulation frameworks, or generative design platforms.
• Familiarity with agent orchestration frameworks (e.g., LangGraph, AutoGen, or custom agent runtimes) and an understanding of how multi-agent systems can be applied to hardware design problems.
• Experience with electromagnetic simulation tools (HFSS, CST, FEKO, or equivalent) and a vision for how AI agents can automate and accelerate simulation-driven RF design.
• Experience productizing advanced R&D into monetizable commercial motions, demonstrating a track record of turning science projects into shipping products.
• Demonstrated history of leading winning proposals for space-based RF programs.
• Background in orbit-specific RF considerations: Doppler compensation, atmospheric propagation effects, space-to-ground link budgets, anti-jam architectures, and low-probability-of-intercept (LPI) waveforms.
• Willingness to travel up to 25% to customer sites, test ranges, and Voyager locations.

Please click “Apply” to submit your application. 

Voyager offers a comprehensive, total compensation package, which includes competitive salary, a discretionary annual bonus plan, paid time off (PTO), a comprehensive health benefit package, retirement savings, wellness program, and various other benefits. When you join our team, you’re not just an employee; you become part of a dynamic community dedicated to innovation and excellence.

Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.  

Minority/Female/Disabled/Veteran 

The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. 

About the role

We’re hiring a Lead Data Analyst, Growth Science to use advanced science to estimate the incrementality of Marketing, Product, and Lifecycle Marketing and to improve their performance. As a senior individual contributor, you’ll lead high-impact growth initiatives through the use of media mix modeling, experimentation and quasi-experimentation, and predictive modeling.  You will play a role in defining how we estimate incrementality and how we improve performance.

The base salary offered for this role and level of experience will begin at $152,000.00 and up to $210,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Partner with and support vendor developing of our media mix model
• Design, execute, and read out results of complex experiments and quasi-experiments not supported by our A/B testing vendor
• Develop predictive models to improve performance of Marketing, Product, and Lifecycle Marketing initiatives
• Partner with Marketing, Product, and Lifecycle Marketing, to drive business outcomes
• Mentor other analysts in our team on experimentation and statistics.  Improve the team’s technical rigor

To thrive in this role, you have

• A strong orientation toward business impact — you ensure insights lead to measurable business results
• Demonstrated ability to influence senior stakeholders and guide strategic decisions in ambiguous, fast-moving environments
• PhD in statistics, economics, or similar social science with emphasis on quantitative methods
• 5+ years of experience in applied science roles, with deep expertise in predictive modeling and causal inference; Experience in FinTech and in Marketing strongly preferred
• Advanced skills in SQL and Python or R.  Experience in use of AI to accelerate and improve end-to-end process

#LI-Hybrid #LI-AM1

Director of Talent Acquisition

About the Role

At Axon, we’re building more than a recruiting team we’re building the talent engine that fuels innovation. We’re seeking a Director of Talent Acquisition who thrives at the intersection of strategy and execution, and who can lead with credibility, grit, and data-driven decision-making. This leader will own and elevate our global recruiting function: shaping strategy, developing top-tier talent acquisition professionals, and delivering high-quality hires at the speed our business demands.

You’ll partner deeply with senior leaders across R&D and beyond to scale our technical and product hiring functions — including Engineering, Product, Data, Security, and IT, while balancing evolving priorities with operational excellence. You’ll act as both a strategist and a doer: building systems and insights that improve how we hire, while rolling up your sleeves to get in the weeds when needed.

Success in this role means owning end-to-end talent acquisition outcomes with a mindset for speed, candidate experience, inclusion, and measurable impact, and landing results in a fast-moving, high-growth environment. You’ll help define the future of how Axon attracts, engages, and wins world-class talent.

Location: This role is based out of our Seattle office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

What You Will Do

• Own global R&D Talent Acquisition outcomes with full autonomy, set direction, align executives, and deliver
• Operate as an enterprise leader who anticipates issues early, makes decisions fast, and drives closure in ambiguity
• Translate business strategy into clear hiring plans, priorities, and capacity models that consistently land
• Establish and run an executive operating rhythm that leaders rely on for pipeline health, forecast accuracy, and tradeoff decisions
• Hold hiring leaders accountable to standards for role clarity, assessment quality, interview discipline, and timely decisions
• Build and scale a high performing recruiting organization through strong leader development, clear expectations, and performance management
• Help own and drive the Axon global recruiting system end to end and continuously improve speed, quality, and candidate experience so all P&L’s and recruiting team’s are successful, not just R&D
• Use funnel analytics and market intelligence to remove bottlenecks, increase predictability, and improve offer outcomes
• Drive ATS discipline, data hygiene, and automation so the function runs clean and scales
• Partner deeply with technical and product leaders to design job relevant assessments and structured interview plans
• Build durable sourcing and talent intelligence strategies for hard to hire technical markets
• Deliver crisp executive reporting that ties insights to decisions, actions, and measurable results

What You Bring

• 10+ years of broad TA and/or HR experience including talent management and performance management.
• Recent experience recruiting in multiple discipline areas and levels, including hiring for nonexempt, exempt and leadership positions.
• Bachelor's degree in human resources or related field.
• Proven recruiting leader with meaningful people leadership experience
• Demonstrated success leading technical hiring, including influencing senior leaders
• Strong delivery orientation with a track record of getting hiring done in fast changing environments
• Executive presence
• Highly data fluent, you use funnel metrics and market data to drive decisions and improvements
• Ability to navigate ambiguity, make decisions with incomplete information, and keep teams moving
• Known for simplifying messy systems, removing barriers, and building elegant operating rhythms
• Experience leading recruiting across multiple regions and cultures, working effectively across time zones
• Experience scaling teams in high growth environments
• Experience modernizing TA through automation, talent intelligence, and process redesign
• Strong executive presence with a reputation for truth telling and solutions

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs

Location Details: 

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com. 

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

The impact you'll be contributing to Moloco:
Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Staff Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, fraud detection) and customer needs, and provide the data driven insight and scientific solutions.

Here’s what you’ll be working on:

• This leader will own the multi-year strategy, roadmap, and execution across the ads supply ecosystem:
  • Supply Exchange & Inventory Integrations: Drive Moloco’s OpenRTB integrations with top-tier third-party supply partners and exchanges, expanding Moloco’s access to high-quality, global, multi-format inventory across gaming and non-gaming verticals.
  • Lead Moloco’s end-to-end General Supply strategy, including Exchange integrations, OpenRTB supply diversification, publisher onboarding, and supply ecosystem expansion.
  • Define, evangelize, and deliver a multi-year supply vision that improves supply quality, scalability, integration reliability, and long-term differentiation
• Conducting deep-dive analysis and experiments to influence product decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers.

Basic Qualifications

• Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time. 
• Proven ability to own complex projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations. 
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
• Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
• Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).
• Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.
• 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.

Preferred Qualifications:

• Advanced degree. PhD is highly desirable. 
• Deep expertise in the programmatic supply ecosystem, including ad exchanges, SSPs, OpenRTB protocols, auction mechanics, and cross-platform integration
• Demonstrated ability to drive cross-org alignment, influence senior stakeholders (Directors/VPs), and execute through large engineering teams
• Familiarity with publisher ad servers, targeting logic, and impression delivery workflows
• Deep knowledge of supply-side performance metrics such as fill rate, eCPM, latency, bid density, impression opportunities, and unique users—and how to optimize for them
• Hands-on experience with integrations and partner-facing APIs, including defining requirements for interoperability with DSPs, exchanges, ad networks, DMPs, and other adtech partners

The impact you'll be contributing to Moloco:
Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Senior Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, fraud detection) and customer needs, and provide the data driven insight and scientific solutions.

Here’s what you’ll be working on:

Our team is responsible for:

• Conducting deep-dive analysis to influence R&D decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers. 
• Evaluating ads integrity: understanding changes and drivers of our complex systems, diagnosing fraud claims and mitigating fraud escalations through a set of input/output metrics of each component.
• Building the right metrics to measure campaign health: improving campaign performance monitoring by establishing the right metric framework, and understanding cause-and-effect relationships across drivers

Basic Qualifications

• Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time. 
• Proven ability to own complex projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations. 
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
• Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
• Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).
• Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.
• 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.

Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).

The Problems You'll Solve

At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow. Ink is Carta’s Design System – the underlying foundation for how all of Carta looks and feels. Our focus is to make Financial Technology safe, intuitive, performant, and fun (yes, we said that).

As a Senior Design Systems Engineer, you’ll work to: 

• Architect and evolve the Ink component library: You will build and maintain robust, production-ready React components that blend rigorous design system standards, intuitive developer ergonomics, and extensible API design.
• Redefine the Design System for the Agentic Age: You will lead the R&D on how our design system evolves to support AI-driven interfaces. You will update our definition of a design system to accommodate generative workflows, ensuring Ink is optimized for both human developers and AI agents.
• Bridge the gap between design and code: You will act as a technical translator, taking concepts from Figma and turning them into performant UI code, ensuring that the "polish" of the design is never lost in translation.
• Elevate frontend quality and developer velocity: You will drive cross-functional projects to improve animation fluidity, CSS architecture, and system modularity, helping product teams solve 80% of their UI problems instantly so they can focus on the unique 20%.
• Coach and advocate for system adoption: You will mentor engineers and designers across the organization, conducting code reviews and design reviews to ensure best practices are met, while gathering feedback to iteratively improve the system’s flexibility and ease of use.

The Team You'll Work With

You’ll be joining our Design System team “Ink”. Ink is where visual design, user experience best practices, and modern React architecture fuse together to create a beautiful set of tools that allow teams to create great products fast. Our ultimate purpose is to enable great design at scale. We are a team that sits at the intersection of design and engineering; we build the foundational components, tooling, and documentation that empower hundreds of Carta engineers and designers to ship consistent, high-quality, and accessible interfaces.

About You

We are seeking an opinionated but humble builder who cares deeply about the craft of software and the details of design. You have likely built or maintained a component library before and understand the unique challenges of serving other developers as your primary customers.

• 7+ years of relevant experience recommended: Specifically in frontend engineering with a strong focus on design systems, AI-assisted development, or UI infrastructure.
• AI-Forward Innovator: You are actively pushing the limits of what design systems can do with AI. You are eager to explore how component APIs, tokens, and documentation can be optimized to support AI development patterns and the future of agentic UI.
• Systematic Thinker: You have a track record of replacing custom, one-off UI with modular, reusable solutions, and you can articulate the trade-offs of API design decisions to both engineers and designers.
• React & CSS Expert: You possess deep, expert-level knowledge of React (modern patterns, hooks, context), CSS (architecture, scalability), and animation technologies  such as CSS Animations, Framer, and D3. You write code that is not just functional, but a joy for other developers to use.
• Design Fluent: You are comfortable working and collaborating  inside Figma. You understand the nuances of interaction design and can prototype complex UI behaviors to validate concepts before they reach production.
• Champion of Quality: You have a "polish-oriented" mindset. You sweat the details on accessibility, performance, and visual fidelity, ensuring that our system sets a high bar for the rest of the company.

Salary

Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our expected cash compensation (salary + commission if applicable) range for this role is: 

• $212,500 - $250,000 in San Francisco, CA; New York, NY
• $201,000 - $237,500 in Seattle, WA

We are hiring for multiple levels and locations, so final offers may vary from the amounts listed based on geography, experience and expertise, and other factors.

As a Senior Software Development Engineer at MCG, you will lead the design and delivery of complex cloud-native services that power healthcare decision-support solutions used by health plans, providers, and other stakeholders. You'll work across multiple cloud services, navigating evolving requirements and making critical tradeoffs that directly impact the reliability, security, and performance of our products.

This role sits at the intersection of deep technical skill and cross-service ownership — you won't just write great code, you'll shape how systems interact, fail gracefully, and scale.

You Will

Scope & Influence

• Own moderate to high complexity problems that span multiple cloud services, where tradeoffs, failure modes, and non-obvious interactions must be identified and resolved.

• Operate effectively when requirements evolve during execution, providing technical judgment that keeps delivery on track.

• Influence technical decisions and design direction beyond your immediate team, serving as a trusted technical voice in cross-service discussions.

Design & Delivery

• Lead the end-to-end design and delivery of complex, cloud-native services — from requirements analysis through production operation.

• Anticipate and proactively address non-functional requirements including operational readiness, security, performance, and testability.

• Drive work through ambiguity, decomposing unclear or shifting requirements into actionable, well-sequenced plans.

AI-Augmented Engineering

• Use AI tools (e.g., Claude, Copilot) as a core part of your daily workflow — for code generation, design exploration, debugging, code review, incident analysis, and knowledge retrieval.

• Author and maintain markdown skill files that codify repetitive workflows, runbooks, and best practices, enabling consistent and efficient execution across the team and reducing tribal knowledge.

Incident Response & Reliability

• Actively contribute to incident response, root cause analysis, and preventative improvements, helping the team build increasingly resilient systems.

• Own and improve on-call practices and runbooks for services you design and deliver.

Quality & Craft

• Design services that are scalable, secure, and testable by default.

• Debug complex, multi-service issues that cross team and domain boundaries.

• Raise the testing and code quality bar through code review, pairing, and leading by example.

• Proactively address performance, reliability, security, and maintainability concerns in every phase of development.

What We're Looking For:

• 5+ years of professional software development experience, with significant time building and operating Azure cloud native distributed systems 

• Strong proficiency in C#, .Net Framework, SQL Server, REST APIs, and Microservices.

• Demonstrated experience designing scalable, secure, and testable services for production.

• Track record of debugging complex issues across multiple services and system boundaries.

• Hands-on experience with CI/CD pipelines, infrastructure-as-code, and cloud operations.

• Solid understanding of security best practices, including secure coding, authentication/authorization patterns, and data protection.

• Experience participating in or leading incident response and root cause analysis.

• Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude) and a demonstrated habit of integrating them into daily engineering work for code generation, review, documentation, and problem-solving.

• Experience building and maintaining markdown-based documentation (skill files, runbooks, process guides) to standardize repetitive tasks and enable team-wide automation and consistency.

• Strong communication skills — able to articulate tradeoffs, influence decisions, and mentor teammates.

Preferred Qualifications:

• Experience in healthcare technology or working with PHI/HIPAA-regulated systems.

• Familiarity with event-driven architectures, service mesh, or message bus patterns (e.g., Azure Service Bus, Kafka).

• Experience with observability tooling (logging, tracing, metrics) for distributed systems.

• Background in agile delivery and service ownership models.

Pay Range: $136,000 - $190,400

Other compensation: Bonus Eligible

Location Preference: Seattle-based talent preferred for this role

Perks & Benefits:

💻  Hybrid work

✈️ Travel expected 1–3 times per year for company-sponsored events

🩺 Medical, dental, vision, life, and disability insurance

📈 401K retirement plan; flexible spending and health savings account

🏝️ 15 days of paid time off + additional front-loaded personal days

🏖️ 14 company-recognized holidays + paid volunteer days

👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave

🌈 LGBTQ+ Health Services

🐶 Pet insurance

📣 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/

ABOUT THE TEAM

Anduril’s Connected Warfare Finance group is seeking a Finance Manager. This role will own core FP&A responsibilities (close insights, forecasting, budgeting, and executive reporting) while partnering closely with Engineering, Product, Program Management, Growth, and Contracts to improve execution, investment decisions, and overall business performance. 
 
We are not looking for someone that will just be a service provider but someone that will have a seat at the table and drive strategic & operational growth within Connected Warfare —helping build a scalable financial operating system for a rapidly evolving portfolio.  

ABOUT THE JOB

In practice, this role will support important decisions with analytical insight and strategic and tactical recommendations to drive the long-term success of the Connected Warfare division. You will lead business line forecasting, budgeting, and performance management, and communicate your findings to senior leadership. You will partner cross-functionally to operationalize hypotheses, take action, and continuously improve financial and operational rigor. 
 
This role requires a strong interest in solving puzzles with an ability to recognize patterns and collaborate via cross-functional partnership to drive effective decision-making. Success in this position comes from a dynamic mindset, strong analytical skills, attention to detail, and an operating posture that balances speed with rigor—especially in environments with evolving requirements and high mission impact. The ideal candidate can work autonomously with minimal direction, can own ambiguous workstreams end-to-end, and consistently drives work to completion. 

WHAT YOU’LL DO

Business Line FP&A (Forecasting, Budgeting, Close Insights) 

• Own the financial operating rhythm: monthly close insights, forecasting, and variance drivers tied to engineering delivery and customer milestones
• Lead annual and quarterly planning cycles, including target setting, resource allocation, and performance tracking against business objectives
• Develop executive-ready reporting, dashboards, and narratives for leadership to drive decision-making
• Partner with cross-functional leaders to surface risks and opportunities early and drive corrective actions 

Unit Economics, Cost Structure, and Scaling Analysis 

• Develop and maintain business-line models to quantify unit economics (Analytics + integration + support), margin drivers, and scaling assumptions
• Analyze cost drivers across labor, infrastructure, test, security/compliance, and field support to improve predictability and efficiency
• Support build/buy/partner decisions and quantify ROI for tooling, infrastructure, and capability investments 

Headcount Planning & Workforce Analytics 

• Create comprehensive headcount and new hiring budgeting plans aligned to roadmap delivery and program commitments
• Lead the headcount forecasting and reporting process, ensuring alignment with financial, operational and technical goals
• Partner with People function, Talent Acquisition and department leaders to analyze staffing needs, hiring plans, and workforce costs
• Support functional leaders to develop workforce plans as part of the annual planning process
• Develop and maintain models to project salaries, benefits, and personnel-related expenses, ensuring accuracy in financial planning
• Track actuals vs. forecast for headcount, compensation, and benefits, providing insights on variances and trends 

IRAD & Internal Investment Management 

• Partner closely with engineering and product leaders to create comprehensive budgeting plans for IRAD programs and strategic initiatives
• Manage IRAD budget tracking, including burn, staffing mix, milestone outcomes, and post-gate spend visibility
• Support trade studies for where to invest IRAD vs. customer-funded development to accelerate product maturity and repeatability 

Program / Customer Execution Finance (Plus: Proposals and Pricing Support) 

• Support program performance management by tracking actuals vs. forecast for key cost elements and deliverables; provide actionable insights to Program Management and Engineering leaders
• Develop metrics and a monitoring plan to ensure effective implementation of program financial plans while identifying ways to continually improve performance
• Support pricing strategy and proposal development for Small Drones pursuits as needed, including modeling scope assumptions and post-award baseline set-up
• Partner with Growth, Contracts, and Program teams to support deal constructs, assumptions, and change management to improve deliverability and financial outcomes 

Process Improvement and Tooling 

• Establish and continuously improve reporting processes and tools to increase transparency, speed, and decision quality
• Drive process improvements across planning, forecasting, and performance management; standardize recurring deliverables where possible 

REQUIRED QUALIFICATIONS

• Bachelor's degree in Finance, Accounting, Economics, or a related field; MBA or relevant professional certification (CPA, CFA) is a plus
• 5+ years of experience in financial analysis, modeling, and forecasting within a corporate FP&A, investment banking or consulting environment
• Experience supporting program finance, program execution cadence, or defense contracting environments is a plus
• Experience supporting proposals, pricing, or deal finance in a cross-functional environment is a plus
• Experience in analytics, aerospace, defense, or adjacent complex product environments is a plus
• Strong expertise in cash flow management and working capital optimization
• Advanced proficiency in Excel, financial modeling, and data analysis tools 
• Demonstrated ability to lead process improvement initiatives in a finance function 
• Excellent communication and presentation skills, with the ability to convey complex financial information in an understandable manner
• Proven track record of managing multiple projects in a deadline-driven environment
• Ability to work autonomously with minimal direction, take ownership of ambiguous workstreams, and drive deliverables to completion
• Experience with financial reporting tools and ERP systems (i.e. Anaplan, Oracle, Foundry)
• Must be authorized to work in the United States

ABOUT THE TEAM

The centralized Software Product Design & Research team serves as the connective tissue across Anduril’s ecosystem of software experiences – ensuring that products and workflows scale thoughtfully across platforms, mission types, and domains. As a Product Designer, you will own the entire lifecycle of design working closely with cross-functional partners through discovery, ideation, validation, and delivery. You will work alongside a team of designers and researchers while developing a deep understanding of Anduril customers, and design solutions to support highly technical and complex scenarios. You will have an immediate impact on real-world operations as you design novel interactions that explore the boundaries of human-to-machine control. We are changing the way our military works – from strategic commanders to forward-deployed operators working responsibly with autonomous systems.

WHAT YOU'LL DO

• Drive the end-to-end user experience for platform, internal R&D, or vertical product investments; proactively balancing near-term experiments with long-term strategy & vision.
• Shape how product design integrates with engineering & product management through close collaboration, iterative prototyping, and hands-on implementation guidance.
• Lead the definition of high-impact product experiences. From problem decomposition and discovery to defining experience requirements, crafting workflows, and delivery high-fidelity designs.
• Engage with end users and facilitate collaborative workshops with stakeholders to align on user needs, generate ideas, and define concepts or experiments.
• Ensure your work is easy to follow through strong narrative skills, journey maps, user workflows, high fidelity mockups, and documentation rigor.
• Mentor and elevate design peers, contribute in design critiques, champion knowledge sharing, and model productive cross-functional collaboration.
• Partner with our design systems team to evolve the underlying platform through your work at the edge.

REQUIRED QUALIFICATIONS

• 5+ years of experience in product design, UX, or HCI, with a proven ability to execute high-craft, technically informed solutions.
• Deep expertise in visual and interaction design, with the ability to craft elegant solutions for complex workflows.
• Systems thinking mindset, capable of mapping workflows across multiple user types and operational contexts.
• Strong prototyping skills to drive clarity in decision-making.
• Ability to communicate the “why” behind design decisions; work demonstrating having navigating complex stakeholder requirements across engineering, product, and business teams.
• Portfolio demonstrating high attention to craft and interaction details.
• No prior defense experience necessary – we are looking for designers who can bring diverse perspectives to hard problems.

PREFERRED QUALIFICATIONS

• Experience leading user research sessions including customer discovery, usability testing, and synthesis of complex feedback loops.
• Facilitation skills to lead workshops, guide cross-functional alignment, and strategic decision-making.
• Comfort operating in ambiguity with a proactive approach to problem-solving in mission-critical, time-sensitive environments.
• Familiarity with designing for constrained or high-stakes / safety critical environments (e.g., industrial, aerospace, or defense systems).
• Demonstrated leadership in scaling design operations, mentorship, and improving team efficiency.
• Must be eligible to obtain and maintain a U.S. TS clearance.

The Warfighter Systems division is pioneering a future where mixed reality (MR) creates immersive, intuitive, and life-saving technologies. We develop next-generation capabilities that put advanced technology directly in the hands of operators, enhancing soldier lethality and survivability. This team is responsible for taking innovative concepts from prototype to fieldable product on aggressive timelines.

ABOUT THE JOB

You'll build the technical development and productization of advanced hardware and software systems that integrate cutting-edge technologies—including computer vision, sensor fusion, RF and networking systems, embedded computing, precision actuation, autonomy, and ruggedized platform design. This is a zero-to-one build opportunity where you'll contribute to the transition from early-stage prototypes to fielded, production-ready systems built for operational environments.

We're looking for senior engineers and technical leaders with deep expertise in one or more of the following:

• RF and networking systems – communications architectures, wireless systems, distributed networks
• Hardware engineering – electromechanical integration, precision actuation, ruggedized platform design
• Embedded software and real-time systems – edge computing, control algorithms, sensor fusion
• Sensor integration – computer vision, lidar, optical systems, multi-sensor architectures
• Systems architecture – complex system integration, autonomy platforms, hardware/software co-design

Whether you're an RF expert, a hardware engineering leader, a software architect, or a systems integrator who operates across multiple domains—if you have a track record of taking complex technical systems from concept to production, we want to talk to you.

Your scope will include system architecture and integration across hardware and software domains, component selection and qualification, algorithm optimization, mechanical and electrical design, manufacturing scalability, and test and evaluation. You'll build and lead a high-performing engineering team within Anduril's Connected Warfare Division, establishing technical vision and driving rapid execution from concept to deployed capability. This role demands the ability to operate across disciplines—bridging embedded systems, autonomy, sensors, communications, and platform integration—while maintaining relentless focus on delivering mission-critical capability to end users.

WHAT YOU'LL DO

• Lead end-to-end technical and programmatic execution to transition prototypes and proof-of-concept systems into production-ready products for defense customers
• Build and manage a high-performing, multidisciplinary engineering team, establishing team culture, technical standards, and execution cadence
• Own the technical roadmap for system productization, including architecture definition, hardware/software integration, design for manufacturing, ruggedization, qualification testing, and supply chain strategy
• Work cross-functionally with software, hardware, autonomy, RF/networking, systems engineering, and manufacturing teams to optimize system performance, reliability, and scalability
• Establish and execute rigorous qualification and testing programs to validate performance, reliability, and safety under operational conditions
• Support field testing and operational evaluation with end users, incorporating feedback to refine system design and performance
• Ensure all work meets applicable safety standards, MIL-STD requirements, and regulatory compliance frameworks
• Manage technical risk, schedule, and resource planning to deliver capabilities on aggressive timelines
• Travel 25%+ to test sites, manufacturing partners, customer locations, and operational environments

REQUIRED QUALIFICATIONS

• Bachelor's degree or higher in Mechanical, Electrical, Computer, Robotics, Systems Engineering, or related technical field
• 10+ years of hardware and/or software engineering experience with demonstrated progression in technical leadership roles
• Proven track record taking prototype or proof-of-concept systems to production and customer delivery
• Deep experience with complex system integration across hardware, software, and/or electromechanical domains
• Strong understanding of manufacturing processes, design for manufacturability (DFM), reliability engineering, and supply chain management
• Experience building and leading engineering teams, setting technical vision, and driving execution in fast-paced environments
• Excellent communication skills and ability to interface with cross-functional teams, senior leadership, and customers
• Must be a U.S. person & eligible to obtain and maintain a U.S. Secret security clearance
• Must be authorized to work in the United States

PREFERRED QUALIFICATIONS

• Proven ability to take multiple products from concept to market or operational deployment
• Background in one or more of the following: precision systems, sensor integration, RF/communications systems, embedded computing, autonomy platforms, or ruggedized hardware design
• Experience with defense or aerospace systems, including familiarity with MIL-STD requirements and military qualification programs
• Knowledge of sensor technologies such as lidar, optical systems, radar, or RF sensing
• Familiarity with real-time control systems, edge computing, and distributed architectures
• Experience with system-level testing, environmental qualification, and reliability validation
• Background working in fast-paced, high-ambiguity startup or R&D environments

Disclaimer: Given the broad spectrum of technical specializations and leadership levels these roles encompass, the compensation package will be highly competitive and individually tailored based on your specific experience, depth of expertise in relevant domains (e.g., RF, hardware, software, systems architecture), and demonstrated leadership capabilities.

About the Team

Anduril’s Workplace Operations team is seeking an Associate Workplace Manager to join us. The Workplace Operations team is responsible for overseeing and maintaining the operational aspects of a work environment to ensure efficiency, productivity, and a positive work experience and reports through the Director of Facilities.

As an Associate Workplace Manager, you will assist in developing and managing the operations of a world class facilities program. The right candidate will have strong analytical ability, exceptional communication skills, ability to build business partnerships with third party providers and ability to resolve challenging problems with minimal oversight.

About the Job

Anduril is a rapidly growing company seeking an experienced and dynamic individual to join our team as an Associate Workplace Manager. As a key player in our organization, you will be responsible for supporting our facilities in Seattle, WA focusing on internal office operation functions that contribute to the overall success of Anduril. The job can range widely in duties and responsibilities like managing vendors, owning the floor plan, and management of the facility and employee population. No two days will look alike and no task is too small, as you hold the highest bar for execution. You play a pivotal role in creating an efficient, productive, and employee-friendly work environment, contributing to the overall success of Anduril.

What You’ll Do

• Direct and manage the comprehensive operations strategy for the office, including by guiding Production, R&D, Business Development, IT, and senior leadership support functions.
• Analyze and resolve complex office-related challenges by determining and implementing solutions that align with organizational objectives and budget parameters, while fostering a positive and productive work environment.
• Develop and execute space utilization strategies and office planning initiatives by determining workspace configurations, departmental allocations, and expansion requirements based on current operations and projected growth trajectories.
• Manage all office maintenance requests, repair requests, and preventative maintenance schedules, ensuring issues are resolved swiftly.
• Supervise vendor relationships for all office-related services by selecting vendors, negotiating contract terms, and evaluating vendor performance.
• Supervise and deliver workplace-related projects, ensuring alignment with scope, budget, and timelines.
• Design and implement employee engagement programs and external client events, ensuring alignment with budget and business objectives.
• Design and implement office supply and equipment management programs by determining inventory parameters and approving purchasing decisions consistent with operational needs.
• Develop and deliver clear communication to employees about workplace updates, changes, and improvements, ensuring transparency and alignment.

Required Qualifications

• 2+ years of related experience supporting startup or aerospace.
• You have strong organizational and time management skills.
• You work through moderately complex or routine challenges that require evaluating different factors.
• You use sound judgement to decide on next steps, and apply existing knowledge to support problem-solving and analysis, with minimal direction needed for new assignments.
• Your communication skills are strong both verbally and written.
• You’re both high ownership and low ego, approaching everything with strong outcome orientation and high humility.
• You’re an independent worker who can work with ambiguity and drive to outcomes with minimal oversight.
• You have a strong attention to detail and an attitude of 100% compliance with all company and regulatory requirements.
• You love solving complex, ambiguous, cross-functional problems in a people-centric way.
• Up to 10% travel to US offices.
• Must be authorized to work in the United States.

Preferred Qualifications

• Previously worked at a fast-paced tech company or rapidly growing manufacturer.
• Experience managing day-to-day operations and projects.

If you are a proactive, detail-oriented individual with a passion for creating efficient and employee-friendly work environments, we invite you to apply for this exciting opportunity to contribute to the success of Anduril. Join us on our mission transforming the future of defense.

About Design at Gusto 

Design at Gusto is made up of over 80 creative, collaborative people who care deeply about our mission to empower small businesses and their employees. We're a cross-functional group that is always looking for opportunities to build understanding and empathy for the people who use Gusto. We don't care much about swim lanes and though we care deeply about quality and craft, we are never precious about it. We work closely with cross-functional partners in Product, Engineering, Data, and Marketing to design, build, and ship experiences that make a real difference. We believe great design can make hard things possible, even delightful.

We are building an AI-native design organization — and we mean that seriously. We're looking for designers who are already working this way: using AI to prototype ideas quickly, shorten customer feedback loops, and ship quality UX directly to customers. This isn't a future aspiration — it's how we work now, and it's changing what the design role looks like at Gusto and across the industry.

About the role:

We’re hiring a Principal Product Designer to lead AI design across Gusto.

This is one of the most senior individual contributor design roles at the company. You’ll define how AI works, behaves, and earns trust across the Gusto platform – starting with Gus, our AI conversational assistant, and expanding into AI-powered workflows embedded in payroll, benefits, HR, and beyond. You’ll shape the interaction model, UX principles, and product direction for AI across Gusto. You will work with senior Product and Engineering leaders to define our AI portfolio. You will develop important AI features that customers will consider and you’ll ship high-impact, customer-facing AI capabilities that help our customers get their work done faster and more effectively, while building their trust in Gusto. These features will help customers finish their tasks faster and build their trust in Gusto.

This role is both strategic and hands-on. We’re looking for someone who can set a long-term UX vision for AI and turn it into real, shipped product that meaningfully improves how small businesses get work done.

Here’s what you’ll do day-to-day:

• Define and evolve the UX vision for our Gus conversational assistant and AI experiences across the Gusto platform.
• Lead and ship Tier 1 AI initiatives from early concept through launch and iteration.
• Design full AI-powered workflows – shaping how users provide input, how model outputs are validated and acted on, and how the experience handles risk, uncertainty, and failure.
• Partner closely with AI Product and Engineering leaders to translate complex technical constraints into intuitive, credible user experiences.
• Establish scalable AI interaction patterns and design principles that teams across Gusto can adopt.
• Write and iterate on prompts in collaboration with engineering, PM, and content design.
• Use AI tooling to accelerate exploration and prototyping, customer feedback loops, and shipping to customers.
• Mentor designers on the AI team and coach designers across Gusto who are shipping AI features.
• Advocate for high-quality, responsible AI experiences across Design and R&D.

Here’s what we're looking for:

• Proven AI product impact: You’ve shipped LLM-driven product experiences to production and can demonstrate measurable impact on adoption, efficiency, or user trust.
• Systems-level thinking: You’ve designed complete AI workflows – not just chat interfaces – and can speak fluently about failure modes, guardrails, user control, and transparency.
• Strategic product influence: You’ve defined UX direction at a portfolio or company level and influenced roadmap, scope, and sequencing decisions in partnership with senior PM and Engineering leaders.
• Technical fluency: You’re comfortable collaborating with highly technical AI engineers. You understand concepts like retrieval, context management, latency, and model reliability, and can translate them into robust UX decisions.
• Builder mindset: You ship. You prototype. You iterate. You’re not interested in defining principles without turning them into real customer impact.
• Organizational leadership: You have enhanced team work quality. You achieved this by coaching team members, setting new standards, and building solid partnerships across different functions.

Compensation Details

At Gusto, we strive to provide rewards that empower employees to achieve their financial and personal goals. We offer competitive compensation packages with a strong emphasis on equity based compensation (ownership in Gusto). To learn more about Gusto’s compensation philosophy and benefits offerings please view our Total Rewards Approach page.

Our cash compensation range for this role is $204,000/yr to $238,000/yr in Denver & most remote locations, and $240,000/yr to $280,000/yr in San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

By the Numbers:

• Named #1 best software for small business of 2024 by G2
• 2,700+ employees in the United States, Canada, Mexico, and Turkiye and growing 
• Over $500M in annual revenue 
• The SMB market is large (and growing!) with huge opportunities for Gusto to make an incredible impact for SMBs 
• There are 6.2M employers in the US, 98% have fewer than 100 employees (1) 
• 550,000 new businesses are created each year in the US (1) 

What Product Management is like at Gusto:

• We’re looking for high-autonomy, entrepreneurial Product Managers to come build high-impact solutions for small businesses and their employees. We believe in high-ownership Product Managers who operate like business owners - owning an entire roadmap end to end, and shaping the product from strategy setting through the nitty gritty execution details.
• Our Product team is lean, which means you’ll have a high degree of impact and ownership. 
• We’re here to serve small and medium businesses. Gusto has a strong mission-driven culture, and we care deeply about lifting up these business owners. 

About the Team:

Tax is a critical pillar of Gusto’s platform. The Tax Platform team owns the core systems that determine how tax liabilities are calculated, tracked, paid, reconciled, and filed for more than 400,000 small businesses.

These systems sit at the intersection of money movement, regulatory compliance, and customer trust. The Tax Platform provides shared capabilities used across Tax, Compliance, and R&D, shaping how tax data flows through the company and how other teams build safely on top of Gusto’s tax foundation.

This is high-leverage, system-level work. The team is actively modernizing tightly coupled legacy systems, improving correctness and traceability, and creating durable platform capabilities that reduce risk and unlock faster product development across the company. We partner closely with Engineering, Compliance, Legal, CX, Data Science, and Operations to ensure Gusto’s tax platform remains accurate, scalable, and resilient as the business grows.

Here’s what you’ll do day-to-day:

• Ownership: Own the strategy, roadmap, and execution for foundational Tax Platform systems, with responsibility for shaping platform direction across multiple quarters and years.
• North Star: Define and evolve a clear Tax Platform strategy that ladders into Gusto’s broader Tax strategy, bringing clarity to ambiguous problem spaces and guiding day-to-day decisions around prioritization, sequencing, and tradeoffs.
• Collaborate & Evangelize: Partner closely with Engineering, Compliance, Legal, CX, Data Science, and Product teams to align priorities, unblock dependencies, and drive adoption of shared platform capabilities. Translate between platform work and customer and business outcomes to help engineering teams understand impact and help stakeholders understand the value and tradeoffs of platform investments.
• Customer Impact: Tie platform initiatives to customer outcomes by using data, domain expertise, and partner input to prioritize work that improves accuracy, timeliness, trust, and operational reliability.
• Execution Excellence: Advocate for durable, correct, and scalable solutions while maintaining momentum through incremental delivery, thoughtful sequencing, and clear success metrics.

Here’s what we're looking for:

• 8+ years of product management experience, including meaningful ownership of platform teams, strategy and multi-year initiatives that created leverage across multiple teams or product areas.
• Demonstrated success operating in complex, multi-product environments with cross-team dependencies and internal platform customers.
• Strong system-level thinking and product judgment, with the ability to navigate ambiguity, make hard tradeoffs, and drive clarity without relying on consensus.
• Experience evolving or modernizing critical systems over time, balancing short-term delivery with long-term platform health and risk reduction.
• Comfort working in regulated or compliance-sensitive domains such as payroll tax, fintech, HR, or legal tech, with a deep appreciation for accuracy, auditability, and customer trust.
• Proven ability to partner closely with engineering teams and translate between platform decisions, customer impact, and business outcomes.
• A strong POV on building products in the age of AI; experience building AI-driven features is a big bonus

If you don't think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

Our cash compensation amount for this role is targeted at $180,000 to $224,000/yr in Denver & most major metro locations, and $210,000 to $263,000/yr for San Francisco, New York, & Seattle. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above

Where do PMs at Gusto work?

We have offices in Denver, San Francisco, and New York and have remote team members across the US and Canada. We are actively hiring for the following Hubs: Toronto, Canada and Seattle, WA. Our open roles will specify on the careers page and in the job description where the position is eligible for work. 

 (1) Business Applications with Planned Wages (www.census.gov)

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation in global financial markets. We build and deploy cutting-edge systems within one of the world’s most sophisticated computing environments for large-scale research and trading. Our research cluster is the backbone of our success—an HPC environment with GPU and CPU fleets larger than many national labs—and our people are our most important differentiator.

We are seeking a Hardware Strategy & Technology Partnership Lead to bridge the gap between hardware engineering and the technology supply chain. In this role, you will be the primary architect of HRT’s relationships with OEMs, ODMs, and silicon vendors. The ideal candidate understands the CSPs’ business models and how they differentiate, and possesses the expertise to navigate both the bare-metal world and the hyper-scaler ecosystem to ensure HRT always has a competitive edge in compute power and efficiency. You understand the "chip and server" business at a molecular level—not just what an R200 GPU or a Venice processor can do, but how the supply chain, the margins, and vendor roadmaps dictate the industry’s future.

Responsibilities

• Strategic Relationship Management: Lead HRT’s primary relationships with top-tier silicon (CPU/GPU/Storage), server and cloud vendors. Partner with their engineering and product teams to influence roadmaps and secure early access to next-gen tech.
• Vendor Negotiations: Own the end-to-end commercial and technical negotiation process. Leverage your deep understanding of BOM (Bill of Materials) costs and industry margins to drive the best outcomes for HRT’s global infrastructure.
• Supply Chain Intelligence: Act as our internal "SemiAnalysis/SemiAccurate" equivalent. Stay ahead of industry trends, tracking foundry shifts, packaging innovations, and geopolitical impacts on the hardware market to advise our leadership on long-term strategy. Help us decide when to build, when to go to the cloud, and how to optimize our footprint across global data centers.
• Cross-Functional Collaboration: Work side-by-side with our R&D and Trading Tech engineers and data center teams to deeply understand HRT's technology and business, and translate that knowledge into long-term strategic and acquisition planning.

Qualifications

• Deep Industry Knowledge: You have a "feet on both sides" profile, with a background that likely includes time at a major hardware vendor, a hyper-scaler, or a top-tier industry research firm.
• Technical Fluency: You can talk shop with hardware engineers about PCIe lanes, memory bandwidth, and thermal envelopes, but you can also walk into a boardroom and negotiate a multi-million dollar master purchase agreement.
• Market Strategy: You have a proven track record of solving complex infrastructure needs for large-scale compute environments.
• Entrepreneurial Spirit: You are a self-starter who is motivated by the excitement of being at the cutting edge of automation and hardware efficiency.

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 200,000-300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Job Summary:

We are seeking an experienced and talented Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, decision systems, and mission planning applications. This is an exceptional opportunity for a seasoned engineer to drive innovation, collaboration, and excellence in a fast-paced and growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multi-disciplinary teams developing algorithmic, software, cloud, and data solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance. Active Secret, Top Secret, or TS/SCI is preferred. 

• Master's degree or PhD in Aerospace Engineering, Computer Science, Physics, Electrical Engineering, or a related field

• Minimum of 10 years of experience in R&D, with a focus on AI/ML, software, and decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have

MORSE is seeking an experienced and talented Chief Engineer to lead our efforts in developing and deploying capabilities for artificial intelligence, machine learning, decision systems, and mission planning applications. This is an exceptional opportunity for a seasoned engineer to drive innovation, collaboration, and excellence in a fast-paced and growing organization.

Responsibilities:

• Set the technical vision and direction for programs, collaborating with internal technical staff and external customers

• Lead multi-disciplinary teams developing algorithmic, software, cloud, and data solutions

• Manage program execution, ensuring schedule and budget adherence, and overseeing successful program delivery

• Cultivate strong relationships with external partners and stakeholders, advocating for MORSE's technology and services

• Identify and pursue new business opportunities, expanding our portfolio and driving long-term growth

• Provide technical oversight and guidance to program team members

Requirements:

• US Citizenship and ability to obtain and maintain a Security Clearance. Active Secret, Top Secret, or TS/SCI is preferred. 

• Master's degree or PhD in Aerospace Engineering, Computer Science, Physics, Electrical Engineering, or a related field

• Minimum of 10 years of experience in R&D, with a focus on AI/ML, software, and decision systems

• Proven leadership skills, with a track record of successfully managing high-performing technical teams

• Deep understanding of software development principles, methods, and tools

• Strong analytical and problem-solving abilities, with the capacity to absorb complex technical information quickly

• Excellent written and verbal communication skills, with the ability to present technical information clearly and persuasively to both technical and non-technical audiences

• Experience with Agile methodologies and DevOps practices

• Familiarity with cloud computing platforms and infrastructure is nice to have

The Strategic Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed, and that our financial results are appropriately accounted for. We provide financial analysis to determine critical strategic and operational decisions within a rapidly growing organization. We are looking for a senior Deal Desk analyst to join our team to support our growing commercial selling motion through financial analysis and guidance on standard and non-standard commercial agreements.

This position requires a nimble and curious professional capable of managing multiple priorities in a dynamic, rapidly growing, and fluid organization. You must be highly analytical, organized, and skilled at communication and problem-solving. This role will work to enforce and help define the process behind our discount and credit policies, appropriately structuring deals in alignment with DigitalOcean’s financial goals.

What You’ll Be Doing:

• Build trusted cross-functional relationships with Sales, Revenue Operations, Legal and Revenue Accounting and Strategic Finance; proactively identify opportunities for process improvements.
• Partner with Sales and Revenue Operations to structure commercially sound deals by evaluating tradeoffs across price, term, volume, and risk, aligned with financial guidelines.
• Lead financial modeling and evaluation of deal structures, ensuring alignment with margin targets, ARR goals, and long-term profitability.
• Enforce approval frameworks and policies; manage escalations and exceptions for strategic deals.
• Design and own discount reporting and cadence analytics to enable organization wide visibility into trends in the discounting program.
• Work alongside R&D Finance and D&A teams to refine customer and product-level margin profiles.

What We’ll Expect From You:

• High standards of accuracy and precision; extremely detail-oriented, highly organized and resourceful.
• Strong financial modeling, analytical and problem-solving skills with the ability to quickly grasp and apply analytical concepts.
• 2+ years of experience in investment banking, consulting, FP&A/ sales finance, deal management, sales operations, or business operations.
• Demonstrated ability to work within fixed timeframes and meet deadlines consistently.
• Proactive communicator with excellent verbal and written skills.
• Strong Excel and Google Sheets skills.
• Experience with Salesforce, Hubspot or other CRM tools desired.
• Experience with data analysis programs like Looker and Tableau is a plus.
• Bachelor’s degree required.

Compensation Range: 

• $93,600.00 - $117,000.00

*This is a remote role

JR: 2026-7739

#LI-Remote

The Strategic Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed, and that our financial results are appropriately accounted for. We provide financial analysis to determine critical strategic and operational decisions within a rapidly growing organization. We are looking for a senior Deal Desk analyst to join our team to support our growing commercial selling motion through financial analysis and guidance on standard and non-standard commercial agreements.

This position requires a nimble and curious professional capable of managing multiple priorities in a dynamic, rapidly growing, and fluid organization. You must be highly analytical, organized, and skilled at communication and problem-solving. This role will work to enforce and help define the process behind our discount and credit policies, appropriately structuring deals in alignment with DigitalOcean’s financial goals.

What You’ll Be Doing:

• Build trusted cross-functional relationships with Sales, Revenue Operations, Legal and Revenue Accounting and Strategic Finance; proactively identify opportunities for process improvements.
• Partner with Sales and Revenue Operations to structure commercially sound deals by evaluating tradeoffs across price, term, volume, and risk, aligned with financial guidelines.
• Lead financial modeling and evaluation of deal structures, ensuring alignment with margin targets, ARR goals, and long-term profitability.
• Enforce approval frameworks and policies; manage escalations and exceptions for strategic deals.
• Design and own discount reporting and cadence analytics to enable organization wide visibility into trends in the discounting program.
• Work alongside R&D Finance and D&A teams to refine customer and product-level margin profiles.

What We’ll Expect From You:

• High standards of accuracy and precision; extremely detail-oriented, highly organized and resourceful.
• Strong financial modeling, analytical and problem-solving skills with the ability to quickly grasp and apply analytical concepts.
• 2+ years of experience in investment banking, consulting, FP&A/ sales finance, deal management, sales operations, or business operations.
• Demonstrated ability to work within fixed timeframes and meet deadlines consistently.
• Proactive communicator with excellent verbal and written skills.
• Strong Excel and Google Sheets skills.
• Experience with Salesforce, Hubspot or other CRM tools desired.
• Experience with data analysis programs like Looker and Tableau is a plus.
• Bachelor’s degree required.

Compensation Range: 

• $93,600.00 - $117,000.00

*This is a remote role

JR: 2026-7739

#LI-Remote

The Strategic Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed, and that our financial results are appropriately accounted for. We provide financial analysis to determine critical strategic and operational decisions within a rapidly growing organization. We are looking for a senior Deal Desk analyst to join our team to support our growing commercial selling motion through financial analysis and guidance on standard and non-standard commercial agreements.

This position requires a nimble and curious professional capable of managing multiple priorities in a dynamic, rapidly growing, and fluid organization. You must be highly analytical, organized, and skilled at communication and problem-solving. This role will work to enforce and help define the process behind our discount and credit policies, appropriately structuring deals in alignment with DigitalOcean’s financial goals.

What You’ll Be Doing:

• Build trusted cross-functional relationships with Sales, Revenue Operations, Legal and Revenue Accounting and Strategic Finance; proactively identify opportunities for process improvements.
• Partner with Sales and Revenue Operations to structure commercially sound deals by evaluating tradeoffs across price, term, volume, and risk, aligned with financial guidelines.
• Lead financial modeling and evaluation of deal structures, ensuring alignment with margin targets, ARR goals, and long-term profitability.
• Enforce approval frameworks and policies; manage escalations and exceptions for strategic deals.
• Design and own discount reporting and cadence analytics to enable organization wide visibility into trends in the discounting program.
• Work alongside R&D Finance and D&A teams to refine customer and product-level margin profiles.

What We’ll Expect From You:

• High standards of accuracy and precision; extremely detail-oriented, highly organized and resourceful.
• Strong financial modeling, analytical and problem-solving skills with the ability to quickly grasp and apply analytical concepts.
• 2+ years of experience in investment banking, consulting, FP&A/ sales finance, deal management, sales operations, or business operations.
• Demonstrated ability to work within fixed timeframes and meet deadlines consistently.
• Proactive communicator with excellent verbal and written skills.
• Strong Excel and Google Sheets skills.
• Experience with Salesforce, Hubspot or other CRM tools desired.
• Experience with data analysis programs like Looker and Tableau is a plus.
• Bachelor’s degree required.

Compensation Range: 

• $93,600.00 - $117,000.00

*This is a remote role

JR: 2026-7739

#LI-Remote

The Strategic Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed, and that our financial results are appropriately accounted for. We provide financial analysis to determine critical strategic and operational decisions within a rapidly growing organization. We are looking for a senior Deal Desk analyst to join our team to support our growing commercial selling motion through financial analysis and guidance on standard and non-standard commercial agreements.

This position requires a nimble and curious professional capable of managing multiple priorities in a dynamic, rapidly growing, and fluid organization. You must be highly analytical, organized, and skilled at communication and problem-solving. This role will work to enforce and help define the process behind our discount and credit policies, appropriately structuring deals in alignment with DigitalOcean’s financial goals.

What You’ll Be Doing:

• Build trusted cross-functional relationships with Sales, Revenue Operations, Legal and Revenue Accounting and Strategic Finance; proactively identify opportunities for process improvements.
• Partner with Sales and Revenue Operations to structure commercially sound deals by evaluating tradeoffs across price, term, volume, and risk, aligned with financial guidelines.
• Lead financial modeling and evaluation of deal structures, ensuring alignment with margin targets, ARR goals, and long-term profitability.
• Enforce approval frameworks and policies; manage escalations and exceptions for strategic deals.
• Design and own discount reporting and cadence analytics to enable organization wide visibility into trends in the discounting program.
• Work alongside R&D Finance and D&A teams to refine customer and product-level margin profiles.

What We’ll Expect From You:

• High standards of accuracy and precision; extremely detail-oriented, highly organized and resourceful.
• Strong financial modeling, analytical and problem-solving skills with the ability to quickly grasp and apply analytical concepts.
• 2+ years of experience in investment banking, consulting, FP&A/ sales finance, deal management, sales operations, or business operations.
• Demonstrated ability to work within fixed timeframes and meet deadlines consistently.
• Proactive communicator with excellent verbal and written skills.
• Strong Excel and Google Sheets skills.
• Experience with Salesforce, Hubspot or other CRM tools desired.
• Experience with data analysis programs like Looker and Tableau is a plus.
• Bachelor’s degree required.

Compensation Range: 

• $93,600.00 - $117,000.00

*This is a remote role

JR: 2026-7739

#LI-Remote

The Strategic Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed, and that our financial results are appropriately accounted for. We provide financial analysis to determine critical strategic and operational decisions within a rapidly growing organization. We are looking for a senior Deal Desk analyst to join our team to support our growing commercial selling motion through financial analysis and guidance on standard and non-standard commercial agreements.

This position requires a nimble and curious professional capable of managing multiple priorities in a dynamic, rapidly growing, and fluid organization. You must be highly analytical, organized, and skilled at communication and problem-solving. This role will work to enforce and help define the process behind our discount and credit policies, appropriately structuring deals in alignment with DigitalOcean’s financial goals.

What You’ll Be Doing:

• Build trusted cross-functional relationships with Sales, Revenue Operations, Legal and Revenue Accounting and Strategic Finance; proactively identify opportunities for process improvements.
• Partner with Sales and Revenue Operations to structure commercially sound deals by evaluating tradeoffs across price, term, volume, and risk, aligned with financial guidelines.
• Lead financial modeling and evaluation of deal structures, ensuring alignment with margin targets, ARR goals, and long-term profitability.
• Enforce approval frameworks and policies; manage escalations and exceptions for strategic deals.
• Design and own discount reporting and cadence analytics to enable organization wide visibility into trends in the discounting program.
• Work alongside R&D Finance and D&A teams to refine customer and product-level margin profiles.

What We’ll Expect From You:

• High standards of accuracy and precision; extremely detail-oriented, highly organized and resourceful.
• Strong financial modeling, analytical and problem-solving skills with the ability to quickly grasp and apply analytical concepts.
• 2+ years of experience in investment banking, consulting, FP&A/ sales finance, deal management, sales operations, or business operations.
• Demonstrated ability to work within fixed timeframes and meet deadlines consistently.
• Proactive communicator with excellent verbal and written skills.
• Strong Excel and Google Sheets skills.
• Experience with Salesforce, Hubspot or other CRM tools desired.
• Experience with data analysis programs like Looker and Tableau is a plus.
• Bachelor’s degree required.

Compensation Range: 

• $93,600.00 - $117,000.00

*This is a remote role

JR: 2026-7739

#LI-Remote

Your Impact

You will collaborate across the finance organization and with key business leaders to drive process improvement, strategic decisions and enhance Axon’s forecasting and analysis capabilities. You will support a fast paced and dynamic business team that is working on solving the most challenging problems for our customers.

You will join an environment that favors agility, initiative and creative thinking. We genuinely love what we do and are looking for you who share this passion. Come work with us in a dynamic environment in which you’ll use your passion, technical experience, and strong problem-solving skills.

What You’ll Do

• You will apply business and financial acumen to support various levels of Operational and Financial decision makers with data, analysis, metrics, process creation/improvement and operating model alignment
• You will support Product Roadmap prioritization based on profit contribution and engineering resource constraints in close partnership with engineering and product leads
• You will model new product design iterations and develop the business case for new products and features based on product-market fit and expected cost reduction
• You will drive regular cost reduction, headcount, and budget reviews to ensure alignment to the company plan and product strategy
• You will support the corporate forecasting process for R&D/product spend and present results to R&D leaders. Regularly participate in corporate FP&A meetings such as executive corporate forecast reviews and budget vs. actuals reviews
• You will support the company-wide Strategic Portfolio Planning Process by assisting in the creation of Investment Business Cases for new Products & Strategic initiatives and in doing so the role will collaborate cross functionally and will have full P&L exposure
• The position will also support Product teams in their holistic analysis of market and P&L performance for key Product Segments and contribute with data, KPIs and analysis

What You Bring

• Bachelor’s Degree in Business Administration or Financial Accounting
• Minimum of 7 years of experience in financial modeling, forecasting and business analytics in a dynamic environment, supporting both financial and operational decision makers
• Proven track record of owning projects and driving their completion cross-functionally
• Experience driving process improvements focused on quality, timeliness and improved efficiency
• Ability to working independently with concern for quality and deadlines
• Data analysis and dynamic scenario modeling with emphasis on researching and validating modeling inputs and assumptions and ensuring their alignment with operational models and strategic goals
• Technology/software/SaaS industry experience
• Manufacturing experience
• Excellent analytical, oral and written communication skills for frequent interaction with financial and non-financial business leaders
• Superb attention to detail, strong planning and organization skills, and the ability to multi-task, prioritize and deliver in a fast-paced, dynamic environment
• Self-starter with an entrepreneurial spirit

Location: Hybrid Presence based near our US Hubs - San Francisco, Seattle, or Scottsdale. This role follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

About the role

We are seeking a Strategic Finance partner to join our Finance team at Anthropic, focused on operating expenses (OpEx) with a primary partnership across our Engineering organization. In this role, you will be the financial partner to engineering leaders — helping them make smart, well-informed decisions about headcount, vendor spend, tooling, and the operational investments that fuel our research and product work. As we continue to grow rapidly, you will play a crucial role in shaping how we plan, allocate, and steward OpEx across the company.

You'll build driver-based models that tie vendor and tooling spend to the underlying technical inputs (usage, seats, throughput, capacity), and you'll be expected to engage substantively with engineering leaders on the technical realities behind those drivers — and to push back with conviction when the numbers don't add up. The strongest partners on this team aren't order-takers; they ask sharp questions, challenge assumptions, and help engineering leaders land on better decisions than they'd reach alone. If you're excited about getting close to the technology, holding your ground in a debate with a thoughtful engineering leader, and helping a fast-growing AI company invest its resources well, we'd love to hear from you.

Key responsibilities

• Serve as the primary finance partner to Engineering leaders, providing guidance and recommendations on vendor and tooling spend, and resource allocation decisions.

• Build and maintain driver-based financial models for engineering OpEx — tying vendor and tooling spend to the underlying technical drivers (usage, seats, throughput, capacity, utilization) rather than top-down growth assumptions

• Develop a deep understanding of the engineering tooling and vendor stack so you can engage substantively with technical leaders on what's driving spend and where it's headed

• Lead budgeting, forecasting, and long-range planning for the engineering organization, partnering with leaders to translate roadmaps into resource plans

• Push back constructively on assumptions, proposals, and forecasts — bringing data, sharp questions, and clear reasoning to help engineering leaders land on better decisions

• Prepare clear, concise financial reports, analyses, and variance commentary that highlight key trends, risks, and opportunities for engineering and finance stakeholders

• Establish reporting dashboards and scorecards that track engineering headcount, vendor spend efficiency, and other key operational metrics

• Drive analyses on build-vs-buy decisions, vendor consolidation, contract negotiations, and organizational design tradeoffs where finance can sharpen engineering decision-making

• Partner cross-functionally with Strategic Finance, FP&A, Accounting, Recruiting, and People teams to ensure engineering plans are aligned with broader financial strategy

• Participate in resource allocation exercises to ensure clarity around headcount prioritization

Minimum qualifications

• Have experience in FP&A, OpEx or G&A finance preferably at high-growth technology companies

• Have demonstrated experience building driver-based financial models — tying spend to operational and technical inputs rather than top-down growth rates

• Are comfortable with technical concepts and have a genuine interest in understanding the systems, tools, and infrastructure behind the line items you're modeling

• Have a track record of pushing back constructively on senior stakeholders — bringing data and clear reasoning to disagreements rather than deferring to the loudest voice in the room

• Demonstrate excellent communication and storytelling abilities, with experience presenting to C-suite executives and board members

• Have a bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines

• Thrive in fast-paced, dynamic environments and can navigate ambiguity with confidence

• Possess strong collaboration skills and can build effective partnerships across functions and levels

• Are passionate about Anthropic's mission to build safe, beneficial AI systems

Preferred qualifications

• Have experience at a high-growth technology company or startup

• Possess expertise with modern financial planning tools (e.g., Anaplan, Pigment)

• Have direct experience partnering with Engineering, R&D, or other technical organizations as a finance business partner

• Have hands-on experience modeling vendor spend with technical drivers — cloud/SaaS usage, seat-based tooling, observability and data infrastructure costs, etc.

• Possess a technical background or coursework (CS, engineering, quantitative field) or comparable self-taught fluency

• Have experience leading headcount planning and workforce modeling at scale

About Axon 911 

Axon 911 brings together Prepared and Carbyne under Axon. Together, we are creating the only platform that combines modern 911 infrastructure with an AI intelligence layer—helping public safety agencies move faster, make better decisions, and deliver better outcomes in the moments that matter most.

911 is the backbone of public safety, yet the professionals behind it have long been held back by outdated technology. Axon 911 is here to change that. Joining this team means more than taking a job—it means helping shape the future of emergency response and building a safer, more connected world.

Your Impact

We are seeking a highly motivated and experienced Unified Communications Software Integration Engineer to integrate and deploy the world's first Cloud-Based Emergency Real-Time Communication Platform. 

You will be responsible for the interoperability and assimilation of highly available, Elastic, Robust, Multi-Tenant, and Self-Healing RTC and VoIP Signaling Services. The platform will have to comply with the most stringent Security, Authentication and Authorization Standards in order to ensure high SLA and guarantee 5 nines uptime. You will work closely with Carbyne's Operations team and act as the technical liaison between Engineering and the Business for all UC-related activities.

You will get an opportunity to work on cutting-edge technologies and to build a lifesaving emergency platform.

What You’ll Do

• Working as part of a real-time communication team in the Carbyne operation group to deliver a highly available 911 Infrastructure
• Configuring and troubleshooting Carbyne’s Novel Emergency Communication Platform
• Provide clients with customized communication solutions for Carbyne’s unified communications services
• Install, maintain, integrate, and contribute to PBX projects and UC solutions
• Create and maintain technical specs and solution documents
• Overall responsibility for onboarding new customers in alignment with customer requirements, and solution specifications using Carbyne’s best practices
• Providing technical support and training for the Operations team on 911 emergency communications systems
• Gaining a strong understanding of unified communications architecture, networking, and cloud computing
• Interact with a variety of internal stakeholders: Carbyne’s Operations, R&D, Sales, CTO Office, and Product Managers

What You Bring

• Proven experience with VoIP architecture. Hands-on installation experience deploying open-source UC (such as Kamailio, FreeSWITCH, Asterisk, etc.)
• Extensive knowledge and understanding of VoIP deployments and protocols like SIP, SDP, RTP, Web RTC, and their troubleshooting. Understanding of video\audio codecs, packetization, encryption, and transport
• 3+ years of experience in solutions deployment of open-source VoIP solutions
• 3+ years of experience in networking. Proven knowledge and experience in networking, full knowledge of the OSI model and deep understanding of 1-7 Network Layers
• Good understanding of Linux environments, including bash scripting
• Hands-on experience deployment on Private and Public network/security clouds (AWS)

Nice-to-Haves:

• Industry certifications like CCIE, CCNP, CCNA Voice
• Knowledge of Docker and Kubernetes
• Knowledge of AWS infrastructure

Work Location

This is a hybrid role, with an expectation of four days per week in office.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, dental, and Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Pay Transparency (to be updated)

Axon offers a comprehensive total compensation package, which includes base salary, a generous annual bonus, and company equity.

The starting base annual pay for this role is between $141,000.00 - $188,000.00 excluding commission, bonuses, and more annually, depending on your geographic market. The actual base salary will vary based on several factors, including level, function, training, transferable skills, work experience, business needs, and location—often a combination of these elements.

Our benefits are designed to support you physically, financially, and emotionally—through life’s major milestones and in your everyday moments. To learn more about our benefits, please visit www.axon.com/careers/benefits.

Position Summary

Do you like securing complex cloud services and infrastructure? Want to be a part of a collaborative team that builds solutions that protect some of the biggest networks in the world? ExtraHop is seeking a Sr. Product Security Engineer, experienced with modern cloud system development and infrastructure-as-code practices to build and operate product security program capabilities, tools, and processes that allow us to keep pace with a rapidly changing security landscape, reduce security risk and enable organizational success.

We're looking for candidates with a mix of cloud security, infrastructure security, security information and event management (SIEM) technologies, DevOps, and software development experience, who enjoy working in a collaborative environment and taking direct action to identify, remediate and prevent vulnerabilities and security issues.

You must have experience securing cloud environments and modern computing infrastructure, deploying and operating SIEM tools, and strong familiarity with Infrastructure-as-Code and container technologies.

Key Responsibilities

• Implement and operate Splunk Cloud Platform and Enterprise Security, including setting up log ingestion from required source systems and ensuring correct parsing and categorization of log events for effective SIEM operations
• Implement and operate endpoint detection and response (EDR) and network detection & response (NDR) solutions
• Develop system configuration and hardening standards and coordinate with other teams to ensure compliance with those standards
• Define standards for secure configuration of application and infrastructure components
• Perform threat modeling, security design reviews, code reviews, and consultations with other staff
• Build and improve vulnerability management processes and tooling to support system owners to successfully remediate issues
• Perform, automate and streamline patching and vulnerability remediation activities
• Develop and deliver training on cloud security issues, best practices and internal policies
• Select, implement and manage cloud security tools including cloud security posture management (CSPM), network/host/container/IaC vulnerability scanners and configuration auditing
• Participate in manual pen testing of new + existing systems
• Perform and/or lead security investigation and incident response activities
• Participate in an on-call rotation with occasional after-hours paging to review carefully prioritized security detections

Required Qualifications

• Bachelor’s degree or equivalent experience in computer science, engineering, or information technology
• 8+ years of experience in security engineering, software development and/or DevOps, with a focus on securing complex systems and modern cloud infrastructure
• Strong experience securing AWS cloud platform and services, including the implementation of guardrails using service control policies (SCPs), IaC policies, CSPM, or similar strategies
• Experience implementing Splunk Enterprise Security to monitor cloud-based systems
• Experience working with container-based environments (Kubernetes, Docker, LXC, etc.)
• Experience securing cloud-based web applications, APIs, data and infrastructure
• All R&D Employees will be required to attend 2 mandatory in-person events every year. These events are typically held in our offices in downtown Seattle and run 4-5 days each
• Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder) or lawfully admitted into the U.S. as a refugee or granted asylum
• Note: employees, including fully remote staff, are expected to attend two in-person events every year. These events are typically held in our offices in downtown Seattle and run 4-5 days each

Preferred Qualifications

• Experience securing software-as-a-service (SaaS) and cloud service offerings
• Experience with meeting FedRAMP, NIST SP 800-53 and similar compliance requirements
• Experience deploying or managing EDR and NDR solutions (such as ExtraHop RevealX)
• Experience securing Google Cloud Platform (GCP) and Azure 
• Experience working in a security operations center (SOC) and/or leading security incident response activities
• Solid knowledge of Kubernetes, Git, Python, Terraform, Ansible, and the use of scripting in support of security automation, CI/CD pipelines

The salary range for this role is $150,000 - $180,000 + bonus + benefits. 

Department: Field Engineering — Pre-Sales (Founding)

Level: Senior (Staff level considered for exceptional candidates)

Domain: enterprise knowledge work (EKW)

Location: Strong preference for SF Bay Area but will consider Seattle and NYC.

Reports to: CRO (until VP, Field Engineering is hired)

Compensation: OTE $260–320K (Senior) or $325–400K (Staff) · 75/25 base/variable split · Equity

The Role

You will be the first technical partner to Turing's Research Partners selling and demoing custom and off-the-shelf human expert datasets into the frontier AI labs in the enterprise knowledge work domain. Every major lab is racing to push the frontier on multi-step reasoning over enterprise data, tool use, long-horizon task completion, and evaluation that reflects real work. They buy datasets, benchmarks, graders, and expert human expertise from Turing to train, post-train, and evaluate those capabilities. Your job is to convert our technical depth into won revenue.

This is a founding Field Engineering role. The playbook, the demo library, the qualification bar, and the handoff to Production Engineering do not yet exist — you will build them.

What You'll Do

1) Technical discovery — lead the technical track on every qualified EKW opportunity

• Partner with Research Partners to run the technical conversation with lab researchers and engineers.
• Understand what agentic capability the lab is trying to unlock, what "good" looks like, and what evaluations a post-training team would actually trust.
• Qualify opportunities against a bar you help define: scope, feasibility, strategic fit.

2) Solution architecture — translate capability goals into scoped Turing deliverables

• Map research goals to Turing's offering shapes: agentic trajectories, rubric-graded reasoning tasks, tool-use evaluations, and domain-specialist-built datasets.
• Author technical proposals that frontier lab research leads accept and the Production Engineering team can execute without a rewrite.

3) Prototyping and demo-building — prove the approach before contract

• Build reference agent loops, sample multi-step evaluations, and graded trajectories that demonstrate quality before contract signature.
• The demo has to run. Expect to write real code.

4) POC ownership — take paid pilots from kick-off to scale-up decision

• Design a measurement plan the lab's research team will actually read and act on.
• Define success criteria, own the cadence, convert POC to production contract.

5) R&D interface — channel GTM-to-R&D asks for Enterprise Knowledge Workflow opportunities

• Pre-digest technical asks before routing to R&D. Shield research time from ad hoc calendaring.
• Maintain a collaboration cadence that R&D teams trust.

6) Playbook building — codify what works so future hires scale faster than you did

• Document discovery scripts, qualification criteria, demo artifacts, and objection-handling patterns for EKW opportunities.
• Own the EKW section of the Field Engineering knowledge base.

Who We're Looking For

• 5+ years in applied AI, data engineering, or ML engineering, with meaningful work on agentic systems, RAG, tool use, or enterprise-knowledge LLM applications.
• Strong Python fluency and production experience with LLM orchestration frameworks (LangGraph, LlamaIndex, DSPy, or equivalents).
• Experience designing evaluations for multi-step reasoning or agentic systems — rubric design, trajectory grading, measurement beyond single-turn accuracy.
• Exposure to complex enterprise workflows (financial services, life sciences, legal, or similar) and the data and permission realities inside them.
• A high written communication bar: you can produce a scoping document that a frontier lab research lead accepts without a rewrite.
• Commercial instinct: you want to be in customer meetings, you can read a room, and you are willing to be measured on revenue.

Strong pluses

• Prior time at a frontier AI lab, an AI startup building agentic products, or an enterprise AI team shipping to production.
• Experience with agentic or reasoning benchmarks (e.g., GAIA, τ-bench, or equivalents).
• Background in pre-sales, solutions architecture, or technical consulting.

What success looks like

• 30 days: first FE-led POC signed; enterprise knowledge work domain discovery playbook v1 published; three demo artifacts in the library.
• 60 days: win rate on EKW opportunities you cover is materially above the non-covered baseline; qualification bar codified.
• 180 days: a second Pre-Sales AI Solutions Engineer in the EKW domain hired behind you, ramping off your playbook.

Why Turing

• Work directly with the world's leading AI labs at the cutting edge of post-training, evaluation, and agentic AI research.
• Real impact on the path to AGI: the datasets, evaluations, and playbooks you build will directly influence frontier model development.
• Founding-team leverage. You will set the standards, not inherit them.
• Direct-to-research customers. You will spend your time talking to the people building AGI, not to procurement.

How to apply

Send a resume or CV and a short note on a technical artifact you built — ideally something customer-facing, evaluation-adjacent, or that demonstrates how you think about technical scoping. We read every submission.

Department: Field Engineering — Pre-Sales (Founding)

Level: Senior (Staff level considered for exceptional candidates)

Domain: Software Engineering (SWE)

Location: Strong preference for SF Bay Area but will consider Seattle and NYC.

Reports to: CRO (until VP, Field Engineering is hired)

Compensation: OTE $260–320K (Senior) or $325–400K (Staff) · 75/25 base/variable split · Equity

The Role

You will be the first technical partner to Turing's Research Partners selling and demoing custom and off-the-shelf human expert datasets into the frontier AI labs in the software engineering domain. Every major lab is racing to push the frontier on code generation, agentic software engineering, and SWE evaluation. They buy datasets, benchmarks, graders, and expert human expertise from Turing to train, post-train, and evaluate those capabilities. Your job is to convert our technical depth into won revenue.

This is a Field Engineering founding role. The playbook, the demo library, the qualification bar, and the handoff to Production Engineering do not yet exist — you will build them.

What You'll Do

1) Technical discovery — lead the technical conversation on every qualified SWE opportunity

• Partner with Research Partners to run the technical track with AI researchers and research leads.
• Understand what they're training, what they're evaluating, where their pipeline breaks, and what a Turing-built artifact looks like in practice.
• Qualify opportunities against a bar you help define: scope, feasibility, strategic fit.

2) Solution architecture — translate lab needs into scoped Turing deliverables

• Map capability goals to Turing's offering shapes: custom human expert data, off-the-shelf datasets, and managed talent.
• Author technical proposals that AI researchers accept and the Production Engineering team can execute without a rewrite.

3) Prototyping and demo-building — prove the approach before contract

• Build sample eval tasks, reference dataset slices, graded trajectories, and working agentic scaffolds.
• Expect to write real code, not mock-ups. The demo has to run.

4) POC ownership — take paid pilots from kick-off to scale-up decision

• Design the measurement plan, define success criteria, own the cadence.
• The outcome you are measured on: POC converts to production contract.

5) R&D interface — be the pre-sales channel between GTM and R&D for SWE

• Pre-digest technical asks before routing to R&D. Shield research time from ad hoc calendaring.
• Maintain a predictable collaboration cadence that R&D teams trust.

6) Playbook building — codify what works so future hires scale faster than you did

• Document discovery scripts, qualification criteria, demo artifacts, and objection-handling patterns.
• Own the SWE section of the Field Engineering knowledge base.

Who We're Looking For

• 5+ years in software or ML engineering, with meaningful production experience on code-generation, code-understanding, or developer-tooling systems.
• Hands-on fluency in Python and modern LLM tooling; comfort reading and writing across at least one other major language (TypeScript, Go, Rust, or Java).
• Experience designing or working with evaluations for code models — benchmarks, rubric design, grader reliability, eval construction.
• Experience with large codebases, agentic SWE systems, or developer-facing AI products.
• A high written communication bar: you can produce a scoping document that a frontier lab engineer accepts without a rewrite.
• Commercial instinct: you want to be in customer meetings, you can read a room, and you are willing to be measured on revenue.

Strong pluses

• Prior time at a frontier AI lab, AI infrastructure company, or developer-tools company shipping to AI customers.
• Experience with SWE benchmark construction (e.g., SWE-bench, LiveCodeBench, or equivalents).
• Background in pre-sales, solutions architecture, or technical consulting.

What success looks like

• 30 days: first FE-led POC signed; software engineering domain discovery playbook v1 published; three demo artifacts in the library.
• 60 days: win rate on SWE opportunities you cover is materially above the non-covered baseline; qualification bar codified; R&D and Field Engineering interface running on a predictable cadence.
• 180 days: a second Pre-Sales AI Solutions Engineer in the SWE domain hired behind you, ramping off your playbook. You spend less than 30% of your time as a solo contributor and more than 70% multiplying through the function.
  
  

Why Turing

• Work directly with the world's leading AI labs at the cutting edge of post-training, evaluation, and agentic AI research.
• Real impact on the path to AGI: the datasets, evaluations, and playbooks you build will directly influence frontier model development.
• Founding-team leverage. You will set the standards, not inherit them.
• Direct-to-research customers. You will spend your time talking to the people building AGI, not to procurement.

How to apply

Send a Resume or CV and a short note on a technical artifact you built — ideally something customer-facing, evaluation-adjacent, or that demonstrates how you think about technical scoping. We read every submission.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact.  Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

What you’ll do

About the internship experience

Our internship program provides the opportunity to work on meaningful business initiatives that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in working with large datasets and analytical methodologies/tools to help us better understand our users and build better products. 

Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that will directly contribute to Stripe's mission. As you collaborate with industry experts on initiatives that expand global commerce, you will develop a strong first-hand understanding of the role analytics plays in steering business strategy and results.

We're not just focused on your immediate contributions; we're invested in your growth. Stripe sees this internship as an opportunity to grow your technical expertise and facilitate personal development, preparing you for a career in the tech industry.

Responsibilities

You will:

• Partner closely with Data Scientists, Data Analysts, and business partners to drive business impact through rigorous analytical solutions
• Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict the future performance of users or products, to drive business success
• Influence business actions and strategy by developing actionable insights through metrics and dashboards.
• Drive the collection of new data and the refinement of existing data sources.
• Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly
• Present your work to the Data Science team, partner teams, and fellow interns

Who you are

Minimum requirements

We’re looking for someone who has:

• Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in winter 2026 or spring/summer 2027
• Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present!
• Knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
• Experience communicating and collaborating with multidisciplinary stakeholders in a team environment

Preferred qualifications

You also likely have:

• Experience writing and debugging data pipelines
• Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
• Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts

About the role:

The Business Operations Manager will be a strategic partner embedded within the Technical Support organization at Samsara, driving operational excellence and enabling data-informed decision-making at scale. This role sits at the intersection of strategy and execution—supporting senior leadership with the insights, communications, and operational frameworks needed to run and grow the business effectively.
The ideal candidate is a sharp, highly independent thinker who can take ambiguous challenges and return with structured analysis, compelling narratives, and clear recommendations. They bring strong executive communication skills, big-picture thinking, and the ability to influence cross-functional stakeholders — all while leveraging modern AI tools to work faster and smarter.

This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. Relocation assistance will not be provided for this position.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, and countless opportunities to experiment and master your craft in a hyper-growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best.

In this role, you will:

• Partner with Technical Support leadership to develop strategic narratives and executive-ready presentations that communicate business performance, key priorities, and operational outcomes.
• Build and maintain reporting frameworks that track core business metrics—such as CSAT, time to resolution, and cost to serve—and synthesize findings into actionable insights for senior leadership.
• Translate complex data and operational trends into clear, compelling stories that inform strategic decisions and drive alignment across the organization.
• Drive cross-functional collaboration across Technical Support, Product, R&D, Sales, and Business Technology teams to align on priorities and execute on key initiatives.
• Lead and manage special projects and operational improvement efforts that enhance efficiency and customer experience within the Technical Support ecosystem.
• Leverage AI tools (e.g., Claude, ChatGPT) and self-service data capabilities on a day-to-day basis to accelerate analysis, content generation, and workflow automation.
• Own and operationalize AI governance across the support organization — tracking tools, skills, and use cases being built across teams, establishing versioning standards, and ensuring best practices are shared rather than siloed
• Identify and close information gaps through independent research, data exploration, and rigorous synthesis — returning with something richer than the original ask
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.
  
  

Minimum requirements for the role:

• 8+ years of experience in business operations, management consulting, strategy, or a related field.
• Bachelor’s degree from a 4-year accredited university.
• Demonstrated ability to build executive-level presentations and strategic communications that convey a clear, compelling narrative.
• Strong analytical skills with the ability to independently source, interpret, and synthesize data to support decision-making.
• Comfort and previous experience using AI tools for analysis, content generation, and workflow automation.
• Experience working cross-functionally and influencing stakeholders without direct authority.
• High degree of independence and intellectual curiosity — able to take a loosely defined problem and return with structured, rigorous thinking and actionable recommendations.

An ideal candidate also has:

• Experience working in or with customer support, technical support, or a complex SaaS environment.
• Background in management consulting, investment banking, or a high-growth technology company.
• Familiarity with data tools (e.g., Tableau, Looker, SQL) for self-serve analytics.
• Experience streamlining and scaling products, processes, and workflows with AI.
• Track record of building operational programs or processes from the ground up.

About the role:

The Business Operations Manager will be a strategic partner embedded within the Technical Support organization at Samsara, driving operational excellence and enabling data-informed decision-making at scale. This role sits at the intersection of strategy and execution—supporting senior leadership with the insights, communications, and operational frameworks needed to run and grow the business effectively.
The ideal candidate is a sharp, highly independent thinker who can take ambiguous challenges and return with structured analysis, compelling narratives, and clear recommendations. They bring strong executive communication skills, big-picture thinking, and the ability to influence cross-functional stakeholders — all while leveraging modern AI tools to work faster and smarter.

This is a remote position open to candidates residing in Canada. Relocation assistance will not be provided for this position.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, and countless opportunities to experiment and master your craft in a hyper-growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-caliber team that will encourage you to do your best.
  
  

In this role, you will:

• Partner with Technical Support leadership to develop strategic narratives and executive-ready presentations that communicate business performance, key priorities, and operational outcomes.
• Build and maintain reporting frameworks that track core business metrics—such as CSAT, time to resolution, and cost to serve—and synthesize findings into actionable insights for senior leadership.
• Translate complex data and operational trends into clear, compelling stories that inform strategic decisions and drive alignment across the organization.
• Drive cross-functional collaboration across Technical Support, Product, R&D, Sales, and Business Technology teams to align on priorities and execute on key initiatives.
• Lead and manage special projects and operational improvement efforts that enhance efficiency and customer experience within the Technical Support ecosystem.
• Leverage AI tools (e.g., Claude, ChatGPT) and self-service data capabilities on a day-to-day basis to accelerate analysis, content generation, and workflow automation.
• Own and operationalize AI governance across the support organization — tracking tools, skills, and use cases being built across teams, establishing versioning standards, and ensuring best practices are shared rather than siloed
• Identify and close information gaps through independent research, data exploration, and rigorous synthesis — returning with something richer than the original ask
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.
  
  

Minimum requirements for the role:

• 8+ years of experience in business operations, management consulting, strategy, or a related field.
• Bachelor’s degree from a 4-year accredited university.
• Demonstrated ability to build executive-level presentations and strategic communications that convey a clear, compelling narrative.
• Strong analytical skills with the ability to independently source, interpret, and synthesize data to support decision-making.
• Comfort and previous experience using AI tools for analysis, content generation, and workflow automation.
• Experience working cross-functionally and influencing stakeholders without direct authority.
• High degree of independence and intellectual curiosity — able to take a loosely defined problem and return with structured, rigorous thinking and actionable recommendations.
  
  

An ideal candidate also has:

• Experience working in or with customer support, technical support, or a complex SaaS environment.
• Background in management consulting, investment banking, or a high-growth technology company.
• Familiarity with data tools (e.g., Tableau, Looker, SQL) for self-serve analytics.
• Experience streamlining and scaling products, processes, and workflows with AI.
• Track record of building operational programs or processes from the ground up.

We are looking for a highly strategic and technically strong Staff Data Scientist to join the Member Data Science team, focused on driving engagement and long-term member value, specifically for our subscription premium program, SoFi Plus. This role will be responsible for deeply understanding the drivers of engagement, retention, and subscription value across the SoFi ecosystem. You will define and own engagement measurement frameworks, lead high-impact analytical deep dives, design causal experiments, and develop scalable data and modeling solutions that inform product strategy for SoFi Plus. 

The Member Organization builds engaging and personalized experiences for our members across our product lines. As a Staff Data Scientist, you will operate as a data thought partner to Product, Engineering, Lifecycle Marketing, and Leadership. You will shape the engagement roadmap through insights on activation, feature adoption, habit formation, churn risk, subscription upgrades/downgrades, and long-term member value. You will proactively identify the most impactful opportunities to improve subscription engagement and revenue, and ensure we are making disciplined, data-informed investment decisions.  This role requires strong technical skills (SQL, Python/R, Tableau, Statistics), deep expertise in metrics, segmentation, A/B testing, and strong collaboration.

This is a highly cross-functional and high-visibility role with direct impact on member experience and recurring revenue growth. This is an exciting role for someone to make a direct impact on the company's growth trajectory and member experience.

Responsibilities:

• Design and implement data collection and processing pipelines
• Develop and apply machine learning models to solve business problems. Translate modeling outputs into actionable business strategies.
• Strong experience owning product analytics workflows including formulating success metrics, socializing them across the organization, and creating dashboards/reports
• Evaluate and interpret the results of data analysis
• Communicate findings to influence technical and non-technical stakeholders
• Stay up-to-date on the latest data science techniques and technologies
• Build data pipelines to deploy production level datasets
• Proven experience building scalable dashboards and executive-ready reports that measure product performance, subscription health, and engagement KPIs, and effectively translate insights into actionable business recommendations.
• Experience with leveraging LLMs or other AI solutions to develop analytical tools.

Qualifications:

• Master’s degree or higher in Statistics, Economics, Applied Mathematics, Computer Science, Engineering, or related quantitative field.
• 7+ years of experience leveraging data-driven analysis to influence product and business strategy, ideally in a tech or subscription-based company.
• Deep expertise in:
• Retention and engagement analytics
• Cohort and lifecycle analysis
• Subscription metrics (churn, LTV, ARPU)
• Experimental design and causal inference
• Strong proficiency in SQL, experience with visualization tools (e.g., Tableau) and python.
• Experience building data pipelines using DBT and orchestrating workflows with Airflow in Snowflake environments.
• Proven experience developing and deploying machine learning models in production with monitoring frameworks.
• Strong understanding of subscription economics and revenue optimization.
• Demonstrated ability to work independently in ambiguous environments and drive measurable business impact.
• Excellent communication skills, including the ability to present complex technical findings to executive audiences.
• Track record of mentoring junior data scientists and elevating team standards.

We’re looking for a highly skilled Senior Data Scientist to play a pivotal role on the Member Data Science team, focused on driving and accelerating member growth across a broad set of member growth initiatives. This role will be instrumental in establishing measurement frameworks and analytical infrastructure to support growth strategies end to end. Key responsibilities include defining success metrics, building tracking systems, designing experiments, conducting customer segmentation and price elasticity analyses, and optimizing member acquisition economics with propensity models. The Member Organization builds engaging and personalized experiences for our members across our product lines.

As a Sr. Data Scientist on the Member Growth pillar, you will be responsible for defining and owning core growth KPIs, building and maintaining reliable dashboards and reporting to track performance, and establishing clear success metrics across the growth funnel. You will conduct deep-dive analyses such as customer segmentation, funnel analysis, A/B testing, and elasticity or trade-off evaluations to identify levers that optimize conversion, and become an SME in our member referral program. You will develop models (e.g., propensity or uplift models) to inform targeting, prioritization, and investment decisions across growth initiatives. This role requires strong technical skills (SQL, Python/R, Tableau, Statistics), deep expertise in metrics, segmentation, experimentation, and strong collaboration.

This role is inherently cross-functional, you will work closely with engineering, product managers, lifecycle marketing, data science, design, operations, finance, and executive teams to set growth objectives, define referral program strategy, prioritize features, provide insights, and execute on them. This is an exciting role for someone to make a direct impact on the company's growth trajectory and member experience.

Responsibilities:

• Design and implement data collection and processing pipelines

• Develop and apply machine learning models to solve business problems

• Strong experience owning product analytics workflows including formulating success metrics, socializing them across the organization, and creating dashboards/reports

• Evaluate and interpret the results of data analysis

• Communicate findings to influence technical and non-technical stakeholders

• Stay up-to-date on the latest data science techniques and technologies

• Build data pipelines to deploy production level datasets

Qualifications:

• Bachelor’s degree required (Master’s preferred) in Computer Science, Math, Physics, Engineering or quantitative field. 

• 4+ years of relevant work experience 

• Strong programming skills in SQL, Python/R and proficiency in Tableau

• Proven experience creating dashboards and reports that drive business decisions

• Experience with using DBT, Airflow to build Data Pipelines in Snowflake

• Experience with experimental design/interpretation, A/B testing, quasi-experimentation for causal inference

• Experience with data mining, descriptive analytics, defining KPIs, machine learning, statistical modeling, and predictive modeling concepts.

• Experience with funnel analysis, cohort analysis, and segmentation

• Demonstrate strong business acumen and curiosity, with excellent communication and presentation skills, including the ability to present to leadership.

• Ability to work independently and as part of a team. You should be able to initiate and drive projects to completion 

• Exceptional problem-solving skills

• Influence outcomes and communicate technical content to general audiences 

• Work independently in a dynamic, cross-functional environment, with strong attention to detail and the ability to be a team player.

• Prepare comprehensive data reports and make insights easy to understand.

About Trase

Co-founded in 2023 by Joe Laws and Grant Verstandig, Trase Systems is AI, Uncomplicated. Trase empowers enterprise leaders to harness the full potential of AI without the associated complexity and risks. We are an end-to-end solution for deploying, managing, and optimizing AI in the enterprise. Our platform specializes in bridging the “last mile” of AI adoption, unlocking AI's full potential while driving efficiency and significant cost savings. Trase is at the forefront of AI Agent innovation, topping the Hugging Face GAIA Leaderboard for Generalized AI Assistants, ahead of industry giants such as Google, Meta, Microsoft, and OpenAI. We are leveraging our cutting-edge technologies to develop mission-critical agentic applications in complex industries such as Healthcare, Oil & Gas, and National Security. 

About the Role

As a Principal Applied ML Researcher, you will define and drive the ML and LLM strategy for Trase OS, the agentic execution platform powering deployments in regulated environments.

You are responsible for how models behave inside real production systems - including agent workflows, tool use, and long-lived execution -not just offline model performance.

This is a hands-on technical leadership role operating at the intersection of research, systems, and product. You will drive technical breakthroughs in agentic infrastructure and applied AI systems, own the end-to-end research-to-production lifecycle, and set the standard for how ML systems are designed, evaluated, and deployed across Trase.

Why This Role Exists

Trase OS coordinates long-lived agents, multi-step workflows, tool-augmented LLMs, and execution in regulated environments.

As the system scales, the core challenge shifts from model capability to system correctness and reliability, where models may succeed offline but fail in real workflows, agent behavior can become unpredictable or unsafe, evaluation can drift from real outcomes, and ML decisions can introduce system-level instability.

This role defines how ML systems are integrated into execution systems, evaluated end-to-end, and operated reliably in production.

Responsibilities

Technical Leadership & Innovation

• Drive technical breakthroughs in agentic systems, applied ML infrastructure, and LLM-based applications.
• Define and evolve the ML/LLM strategy and technology roadmap in alignment with product development.
• Act as a principal technical authority, making high-impact architectural and modeling decisions across teams.

Research → Prototype → Production

• Develop prototypes for key technologies to validate new approaches and de-risk system design.
• Own the full lifecycle from research and experimentation through production deployment, monitoring, and iteration.
• Translate advances in ML into scalable, production-grade systems with measurable impact.

Agentic Systems & Applied ML

• Design how LLMs operate within agent workflows, tool use, and multi-step reasoning and long-lived execution.
• Implement and refine prompting strategies, multi-agent orchestration, memory management, and human-in-the-loop controls for safety and reliability.
• Establish patterns for planning, decision-making, and tool orchestration within complex systems.

Evaluation, Quality & Reliability

• Own end-to-end quality evaluation of ML-powered systems, including defining metrics, benchmarks, and testing frameworks.
• Establish evaluation systems that connect model performance to task success and system-level outcomes.
• Ensure systems behave predictably, safely, and reliably in production through monitoring, regression testing, and robust failure handling.

ML Systems & Platform Integration

• Contribute to the design of ML systems supporting the full lifecycle, including training, fine-tuning, evaluation, deployment, and monitoring.
• Drive architecture decisions across model serving, routing, orchestration, and latency and cost optimization.
• Work across infrastructure layers, including cloud and containerized systems, to ensure scalable and efficient deployment.

Enterprise & Regulated Deployments

• Build and deploy enterprise-grade AI systems used by global customers in production environments.
• Design systems that operate reliably in regulated and constrained settings, including on-premise, air-gapped, and secure cloud environments.
• Ensure systems are auditable, explainable, and compliant with regulatory and organizational requirements.

Communication & Influence

• Write technical reports and design documents summarizing R&D progress, system behavior, and key decisions.
• Communicate complex ML concepts and tradeoffs clearly to both technical and non-technical stakeholders.
• Drive alignment across research, engineering, and product through strong technical leadership.

Mentorship & Organizational Impact

• Mentor junior and senior engineers and researchers, raising the bar for ML rigor and system-level thinking.
• Establish and propagate best practices for ML system design, evaluation, and reliability across the organization.
• Influence technical direction beyond immediate teams through high-impact, cross-functional work.

Requirements

• 12–15+ years of experience in machine learning, including building and deploying applied ML systems in production environments.
• Strong programming skills in Python, with experience in Java, C++, or related languages in systems contexts.
• Deep expertise in at least one major ML domain, such as LLMs and generative AI, NLP or multimodal systems, deep learning, or graph learning.
• Hands-on experience with prompt engineering, multi-agent orchestration, tool integration via APIs, memory management, and human-in-the-loop system design.
• Proven experience building and shipping enterprise-grade AI systems, including GenAI, LLM, or agent-based applications at scale.
• Experience designing and implementing evaluation frameworks, including metrics, benchmarks, and testing systems.
• Strong understanding of ML system behavior in production, including reliability, latency, cost tradeoffs, and failure modes.
• Experience deploying ML systems in regulated or constrained environments and familiarity with modern ML infrastructure such as cloud platforms and containerized systems.
• Demonstrated ability to lead technical direction across teams and drive systems from concept to production impact.

Nice to Have

• Experience working with agent-based systems, retrieval-augmented generation, RLHF, or synthetic data approaches.
• Experience building and operating AI/ML platforms that support the full model lifecycle.
• Experience optimizing ML inference in real-time, distributed, or resource-constrained environments.
• Familiarity with data privacy, compliance, and responsible AI frameworks relevant to regulated industries.
• Prior experience operating at the Staff or Principal level in a scaling organization.

Salary Range: $230,000-300,000. This represents the typical salary range for this position based on experience, skills, and other factors.

#LI-RCP 

About the Role

As a Principal Applied ML Researcher, you will define and drive the ML and LLM strategy for Trase OS, the agentic execution platform powering deployments in regulated environments.

You are responsible for how models behave inside real production systems - including agent workflows, tool use, and long-lived execution -not just offline model performance.

This is a hands-on technical leadership role operating at the intersection of research, systems, and product. You will drive technical breakthroughs in agentic infrastructure and applied AI systems, own the end-to-end research-to-production lifecycle, and set the standard for how ML systems are designed, evaluated, and deployed across Trase.

Why This Role Exists

Trase OS coordinates long-lived agents, multi-step workflows, tool-augmented LLMs, and execution in regulated environments.

As the system scales, the core challenge shifts from model capability to system correctness and reliability, where models may succeed offline but fail in real workflows, agent behavior can become unpredictable or unsafe, evaluation can drift from real outcomes, and ML decisions can introduce system-level instability.

This role defines how ML systems are integrated into execution systems, evaluated end-to-end, and operated reliably in production.

Responsibilities

Technical Leadership & Innovation

• Drive technical breakthroughs in agentic systems, applied ML infrastructure, and LLM-based applications.
• Define and evolve the ML/LLM strategy and technology roadmap in alignment with product development.
• Act as a principal technical authority, making high-impact architectural and modeling decisions across teams.

Research → Prototype → Production

• Develop prototypes for key technologies to validate new approaches and de-risk system design.
• Own the full lifecycle from research and experimentation through production deployment, monitoring, and iteration.
• Translate advances in ML into scalable, production-grade systems with measurable impact.

Agentic Systems & Applied ML

• Design how LLMs operate within agent workflows, tool use, and multi-step reasoning and long-lived execution.
• Implement and refine prompting strategies, multi-agent orchestration, memory management, and human-in-the-loop controls for safety and reliability.
• Establish patterns for planning, decision-making, and tool orchestration within complex systems.

Evaluation, Quality & Reliability

• Own end-to-end quality evaluation of ML-powered systems, including defining metrics, benchmarks, and testing frameworks.
• Establish evaluation systems that connect model performance to task success and system-level outcomes.
• Ensure systems behave predictably, safely, and reliably in production through monitoring, regression testing, and robust failure handling.

ML Systems & Platform Integration

• Contribute to the design of ML systems supporting the full lifecycle, including training, fine-tuning, evaluation, deployment, and monitoring.
• Drive architecture decisions across model serving, routing, orchestration, and latency and cost optimization.
• Work across infrastructure layers, including cloud and containerized systems, to ensure scalable and efficient deployment.

Enterprise & Regulated Deployments

• Build and deploy enterprise-grade AI systems used by global customers in production environments.
• Design systems that operate reliably in regulated and constrained settings, including on-premise, air-gapped, and secure cloud environments.
• Ensure systems are auditable, explainable, and compliant with regulatory and organizational requirements.

Communication & Influence

• Write technical reports and design documents summarizing R&D progress, system behavior, and key decisions.
• Communicate complex ML concepts and tradeoffs clearly to both technical and non-technical stakeholders.
• Drive alignment across research, engineering, and product through strong technical leadership.

Mentorship & Organizational Impact

• Mentor junior and senior engineers and researchers, raising the bar for ML rigor and system-level thinking.
• Establish and propagate best practices for ML system design, evaluation, and reliability across the organization.
• Influence technical direction beyond immediate teams through high-impact, cross-functional work.

Requirements

• 12–15+ years of experience in machine learning, including building and deploying applied ML systems in production environments.
• Strong programming skills in Python, with experience in Java, C++, or related languages in systems contexts.
• Deep expertise in at least one major ML domain, such as LLMs and generative AI, NLP or multimodal systems, deep learning, or graph learning.
• Hands-on experience with prompt engineering, multi-agent orchestration, tool integration via APIs, memory management, and human-in-the-loop system design.
• Proven experience building and shipping enterprise-grade AI systems, including GenAI, LLM, or agent-based applications at scale.
• Experience designing and implementing evaluation frameworks, including metrics, benchmarks, and testing systems.
• Strong understanding of ML system behavior in production, including reliability, latency, cost tradeoffs, and failure modes.
• Experience deploying ML systems in regulated or constrained environments and familiarity with modern ML infrastructure such as cloud platforms and containerized systems.
• Demonstrated ability to lead technical direction across teams and drive systems from concept to production impact.

Nice to Have

• Experience working with agent-based systems, retrieval-augmented generation, RLHF, or synthetic data approaches.
• Experience building and operating AI/ML platforms that support the full model lifecycle.
• Experience optimizing ML inference in real-time, distributed, or resource-constrained environments.
• Familiarity with data privacy, compliance, and responsible AI frameworks relevant to regulated industries.
• Prior experience operating at the Staff or Principal level in a scaling organization.

Salary Range: $230,000-300,000. This represents the typical salary range for this position based on experience, skills, and other factors.

#LI-RCP 

About the Team: 

Relativity Space is on a mission to better connect humanity to space and the universe beyond our planet. With decades of experience scaling world-class technology organizations like Google, CEO Eric Schmidt is guiding Relativity into its next phase: advancing Terran R toward launch and building the foundation for long-term impact. 

The Terrestrial Software team is building the foundation for an automated rocket factory and integrated launch platform. Their mission is to automate and streamline workflows across the entire lifecycle of Terran R, from raw material intake to launch operations and eventually manufacturing on Mars. Today, that means partnering directly with teams across design, materials, manufacturing, and test and launch to design, implement, and deploy end user enterprise-wide applications, industrial automation, data analytics infrastructure, and next-generation AI to solve real problems and accelerate progress. Long term, the team is laying the groundwork for a modular, scalable software platform that can power highly autonomous operations on Earth and beyond. This is a team for builders and thinkers who thrive on cross-functional impact and want to shape the digital backbone of our future in space.

About the Role:

Designs and maintains the controller processes that run on safety-critical hardware, focusing on fast, deterministic binaries, memory-based IPC, and integration with field and TCP-based protocols.

About You: 

• You have 6+ years of experience building C++ or Rust software that runs on or near safety-critical hardware, with a strong focus on correctness and reliability
• You have deep understanding of memory management and inter-process communication (IPC), and you are comfortable designing and debugging high-performance binaries that pass data efficiently between processes
• You have hands-on experience with real-time or near-real-time execution, and you care about low jitter, latency, and throughput, using common tools to track down performance and memory bottlenecks
• You are comfortable integrating with industrial communication protocols (e.g., CAN, LXI, Modbus, RMC/DMCP, OpenDAQ or similar), including moving data reliably over TCP between controllers and higher-level systems

Nice to haves but not required:

• Experience designing and operating systems running on a real-time OS or environments with tight real-time constraints
• Experience with lock-free or low-contention concurrency patterns for high-throughput data exchange between processes
• Familiarity with time-sensitive networking, deterministic scheduling, or other techniques used to coordinate multiple controllers in a safety-critical environment
• Prior experience bringing up or debugging hardware-in-the-loop test setups for controllers, including working directly in lab environments with instruments and test equipment

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end.

Overview

At Rithum the Database Reliability Engineering (DBRE) team is responsible for the availability, reliability, and observability of all database systems. We rely heavily on automation to reduce manual work and are always looking for ways to improve our processes. We currently Manage and optimize a large-scale SQL Server environment spanning hundreds of instances across hybrid infrastructure (onprem VMware and AWS), as well as installations of various relational and NoSQL database platforms including MongoDB, DynamoDB, Elasticsearch, MySQL, Postgres, and Redis. These database systems touch all aspects of the business. On the DBRE team, we have a strong culture of curiosity, honesty, and a love of collaboration and constant learning.  

As a Senior Database Reliability Engineer, you are expected to embody these values and help foster them among your fellow team members. You are responsible for managing a variety of database systems and designing and leading your own projects with a highly technical approach.

Responsibilities

• Ensure maximum availability and reliability of mission-critical database systems across hybrid infrastructure.
• Design, implement, and maintain SQL Server Always-on Availability Groups, clustering, and replication topologies. Constantly improve the observability of all database systems.
• Lead major database upgrade initiatives and modernization efforts. Support other engineers and teams in their use of database systems.
• Continuously enhance observability using telemetry, performance analysis, and proactive monitoring.
• Continuously enhance processes through automation. Automate operational workflows using PowerShell, Python, and CI/CD tooling.
• Ensure all data is protected and secure
• Participate in our on-call rotation
• Troubleshoot and tune high-load production systems, including complex performance and replication issues.
• Lead technical response during high-severity incidents and conduct root cause analysis.
• Ensure database security, backup integrity, and disaster recovery readiness.
• Contribute to the development of best practices for database engineering and reliability.
• Collaborate cross-functionally to design scalable, resilient data architectures.
• Mentor team members and contribute to engineering best practices.

Qualifications 

Minimum Qualifications  

• 3+ years of hands-on experience managing database systems
• Basic understanding of multi-tenant, database-driven applications
• Familiarity with common data storage technologies and use cases
• Proficiency in a common high-level language such as PowerShell or Python
• Design, implement, and support SQL Server Always On Availability Groups, clustering, and transactional replication
• Lead and execute major upgrade initiatives (e.g., SQL Server version upgrades, compatibilitylevel transitions)
• Own disaster recovery validation and failover strategy execution
• Investigate and resolve complex replication and distribution database failures

Preferred Qualifications 

• 5+ years of hands-on experience administering production database systems at scale
• Bachelor’s degree in a related field
• Experience with database high-availability technologies
• Experience with MongoDB (including replica sets and Atlas), DynamoDB, or other distributed NoSQL platforms
• Familiarity with cloud-native database architectures (AWS preferred)
• Exposure to data platform modernization initiatives (e.g., migration to newer engine versions, consolidation, cloud adoption)
• Knowledge of relational database design concepts in an OLTP environment
• Experience managing database systems in a cloud environment
• Strong problem-solving and analytical skills
• Excellent communication and teamwork abilities
• Commitment to continuous learning and professional development

 Travel Required  

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

We believe in transparency and fairness in our compensation practices.

For this position, the expected base pay range is: $90,000-$140,000 per year. 

This range represents the base pay for the role across all U.S. locations and is determined based on market data, internal equity, and experience. Final compensation may vary depending on geographic location, skills, and relevant experience.In addition to base pay, we offer a discretionary bonus for non-sales roles, a comprehensive benefits package, and, where applicable, sales incentives.

For this position, the expected discretionary bonus is 10% of the annual base salary.

 Benefits 

• Medical, dental and vision benefits: Affordable health care plans and company HSA contributions, starting on Day 1
• A 6% 401(k) match
• Competitive time off package with 20 days of Paid Time Off, 9 Company-Paid holidays, 2 paid floating holidays, 7 paid sick days, 2 Wellness days, and 1 Paid Volunteer Day; at 3 years of service PTO increases to 22 days, and at 5 years it increases to 25 days
• 12 weeks primary caregiver leave & 4 weeks secondary caregiver leave
• Accident, critical illness, and hospital indemnity insurance
• Pet insurance
• Legal assistance and identity theft insurance plans
• Life insurance 2x salary
• Access to the Calm app and the Employee Assistance Program
• $65/month Remote work stipend for internet
• Culture and team-building activities
• Tuition assistance
• Career development opportunities
• Charitable contribution match up to $250 per year

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end.

Overview

As a Technical Account Manager (TAM), you will deliver strategic technical guidance and executional support to enterprise and strategic clients throughout their journey with Rithum. You will serve as the technical complement to the Client Success Manager (CSM), working in close partnership to align technical solutions to business objectives, ensure seamless channel implementation, and drive long-term success through platform optimization and scalable technical strategies. This role requires strong project management capabilities, deep product knowledge, and the ability to build trust with both client and internal technical stakeholders.

Responsibilities

• Serve as a consistent weekly touchpoint for the client, managing day-to-day business-as-usual (BAU) activities and ensuring timely execution through personal ownership, internal collaboration, and effective use of available resources.
• Develop and oversee channel implementation strategies that align with channel technical requirements and Rithum's platform capabilities.
• Drive tactical execution strategies across the Rithum platform, including operational workflows and commercial levers such as repricing, promotional planning, and algorithmic optimization to enhance visibility and maximize revenue conversion.
• Conduct technical reviews, identifying areas for optimization and offering forward-looking recommendations aligned to client goals.
• Act as a trusted technical advisor, helping clients overcome obstacles and achieve value realization through effective use of Rithum’s solutions.
• Own the resolution of complex technical issues in collaboration with Product, Engineering, and Client Success Enginering teams.
• Bridge communication between client technical teams and Rithum’s internal teams to ensure mutual understanding and streamlined execution.
• Support technical roadmap planning, feature adoption, and product feedback loops with strategic clients.
• Maintain deep knowledge of platform functionality, data flows, and emerging capabilities.

Qualifications 

Minimum Qualifications  

• 2+ years of experience in technical account management, implementation, solutions engineering, or e-commerce within a B2B SaaS environment, or in a marketplace role with a brand or retailer.
• Proven experience supporting enterprise or strategic clients with technical onboarding, platform integration, and ongoing optimization.
• Strong proficiency using Excel
• Foundational understanding of channel requirements, data mapping, and feed architecture.
• Demonstrated ability to manage technical projects and communicate effectively with technical and non-technical stakeholders.
• Demonstrated proficiency with Microsoft Copilot and comfort leveraging AI‑driven tools within daily workflows, with an ongoing interest in emerging technologies.
• Proficiency in platforms such as Salesforce, JIRA, or similar workflow/project tracking tools.
• Excellent problem-solving skills, with a focus on root cause analysis and resolution.
• Strong verbal and written communication skills.

Preferred Qualifications 

• Bachelor's degree in business, engineering, computer science or related technical field.
• 3+ years in technical account management, solution engineering, or implementation roles.
• eCommerce or product data platform experience.
• Experience working in cross-functional teams and navigating complex stakeholder environments.
• Familiarity with SaaS deployment models and scalable system design.
• Experience working with enterprise or strategic clients in eCommerce or retail technology.

Travel Required

Up to 10%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

We believe in transparency and fairness in our compensation practices.

For this position, the expected base pay range is: $60,000-$100,000 per year. 

This range represents the base pay for the role across all U.S. locations and is determined based on market data, internal equity, and experience. Final compensation may vary depending on geographic location, skills, and relevant experience.In addition to base pay, we offer a discretionary bonus for non-sales roles, a comprehensive benefits package, and, where applicable, sales incentives.

For this position, the expected discretionary bonus is 10% of the annual base salary.

 Benefits 

• Medical, dental and vision benefits: Affordable health care plans and company HSA contributions, starting on Day 1
• A 6% 401(k) match
• Competitive time off package with 20 days of Paid Time Off, 9 Company-Paid holidays, 2 paid floating holidays, 7 paid sick days, 2 Wellness days, and 1 Paid Volunteer Day; at 3 years of service PTO increases to 22 days, and at 5 years it increases to 25 days
• 12 weeks primary caregiver leave & 4 weeks secondary caregiver leave
• Accident, critical illness, and hospital indemnity insurance
• Pet insurance
• Legal assistance and identity theft insurance plans
• Life insurance 2x salary
• Access to the Calm app and the Employee Assistance Program
• $65/month Remote work stipend for internet
• Culture and team-building activities
• Tuition assistance
• Career development opportunities
• Charitable contribution match up to $250 per year

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end.

Overview

As a Key Account Executive, you are a highly strategic Hunter on our Core Sales team for our Brands products. responsible for acquiring new clients and expanding Rithum’s presence across global commerce ecosystems.

This role is designed for a disciplined, high-energy sales professional who thrives on prospecting, creating pipeline, and winning new logos. The successful candidate will build meaningful relationships with Core Sales (mid-market & enterprise) brands and retailers while positioning Rithum as the operational backbone enabling scalable marketplace and commerce growth.

At Rithum, we believe growth begins with disciplined inputs. Hunters are expected to generate their own pipeline, execute structured outreach, and maintain a consistent cadence of prospecting activity that fuels predictable revenue outcomes. Successful Hunters at Rithum demonstrate consistent creation of high-quality pipeline, acquisition of strategic new logos, strong engagement with C-suite & executive buyers, ability to run complex, value-based mid-market & enterprise sales cycles, and reliable execution of disciplined prospecting routines.  At Rithum, Hunters are not order-takers. They are builders of opportunity. If you thrive on creating pipeline, engaging executive buyers, and winning new logos through disciplined execution, this is the role for you!

Responsibilities

• New Logo Acquisition
  • Prospect and acquire net-new key clients across priority verticals and strategic accounts.
  • Build and manage a robust pipeline through disciplined outbound activity and self-generated opportunities.
  • Drive the full sales cycle from initial outreach through close in complex mid-market & enterprise environments.
• Pipeline Creation & Prospecting Discipline
  • Maintain a consistent cadence of outbound prospecting including calls, emails, outreach, and targeted account engagement.
  • Own weekly pipeline generation targets and activity metrics.
  • Conduct discovery conversations that uncover business problems tied to commerce growth and operational efficiency.
• Value Based Selling
  • Position Rithum’s platform as the central infrastructure enabling brands and retailers to scale marketplace and digital commerce operations.
  • Adopt the Rithum Way of Selling model
  • Engage executive stakeholders and decision makers with clear value articulation.
  • Lead complex sales motions involving cross-functional stakeholders and long sales cycles.
• Strategic Account Targeting
  • Identify and pursue high-value mid-market & enterprise prospects aligned to Rithum’s ideal client profile.
  • Build account strategies that leverage marketplace expansion, channel orchestration, and data intelligence capabilities.
• Deal Execution
  • Manage opportunities through a disciplined sales methodology and deal inspection cadence.
  • Collaborate with internal stakeholders including sales engineering, product, services, and leadership to advance opportunities.
  • Maintain accurate pipeline visibility and forecast integrity.

Qualifications 

Minimum Qualifications  

• 5+ years of B2B SaaS or technology field sales experience in a closing role, focused on new logo acquisition with national key accounts ($50M–$1B+ revenue).
• Proven success managing 6+ month sales cycles, including procurement, legal, and compliance processes.
• Documented history of closing $100K+ ACV deals, including multi-year contracts.
• Consistent recent quota attainment (100%+ for 4+ consecutive quarters) in a competitive, metrics-driven environment.
• Demonstrated ability to build pipeline through self-generated outbound prospecting, with measurable activity standards (e.g., 40–60+ daily touchpoints, 10+ qualified meetings per month).
• Strong hunter mindset, with resilience and persistence in competitive environments and accountability for pipeline creation.
• Mastery of structured sales methodologies (e.g., MEDDIC, Challenger, SPIN, Miller Heiman, Solution Selling) with evidence of pipeline progression and forecast accuracy.
• Proven ability to sell complex platforms or solution offerings in multi-stakeholder environments.
• Experience engaging C-suite and senior executive stakeholders to build consensus and close complex new-logo deals.
• Strong deal strategy and negotiation skills, including pricing, ROI justification, and defending business cases with executives.
• Ability to manage 10+ concurrent opportunities while balancing prospecting, deal progression, and strategic follow-up.
• Exceptional executive communication and presence, including clear, persuasive verbal and written communication.
• Disciplined use of CRM and sales tools (Salesforce preferred) and sales engagement platforms (e.g., Outreach, Salesloft, HubSpot, LinkedIn Navigator, ZoomInfo) for pipeline, activity, and conversion tracking.
• Proven ability to collaborate cross-functionally with Marketing, Product, Client Success, and Solutions Engineering to close new business.
• Must be located in Pacific or Mountain US time zones. 

Preferred Qualifications 

• Bachelor’s degree in Business, Marketing, Communications, or related field.
• Experience selling into commerce, retail technology, marketplaces, or digital ecosystem platforms.
• Experience selling into multi-division or decentralized buying environments.
• Familiarity with partner- or channel-influenced sales motions.
• Experience positioning data-driven or AI-powered solutions.

Travel Required

Up to 50%

Other Duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

We believe in transparency and fairness in our compensation practices.

For this position, the expected OTE range is: $200,000-$275,000 per year.

This range represents a base salary plus sales incentive for the role across all U.S. locations and is determined based on market data, internal equity, and experience.

Final compensation may vary depending on geographic location, skills, and relevant experience. In addition to base salary and sales incentive, we offer a comprehensive benefits package.

 Benefits 

• Medical, dental and vision benefits: Affordable health care plans and company HSA contributions, starting on Day 1
• A 6% 401(k) match
• Competitive time off package with 20 days of Paid Time Off, 9 Company-Paid holidays, 2 paid floating holidays, 7 paid sick days, 2 Wellness days, and 1 Paid Volunteer Day; at 3 years of service PTO increases to 22 days, and at 5 years it increases to 25 days
• 12 weeks primary caregiver leave & 4 weeks secondary caregiver leave
• Accident, critical illness, and hospital indemnity insurance
• Pet insurance
• Legal assistance and identity theft insurance plans
• Life insurance 2x salary
• Access to the Calm app and the Employee Assistance Program
• $65/month Remote work stipend for internet
• Culture and team-building activities
• Tuition assistance
• Career development opportunities
• Charitable contribution match up to $250 per year

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

The Role

The Staff Data Analyst will join the Block Compliance Analytics team chartered to put data at the center of the Compliance organization. You have a proven track record in the Financial Crimes and AML space, and in this role you will develop strategies and lead key workstreams to deliver actionable analytics to leaders throughout the Block business and tell the story of our Compliance program to regulators and external parties. Focused on quantifying compliance risks and driving effectiveness, you will enable Block to redefine the world's relationship with money.

You Will

• Lead data strategy for our regulatory engagements - from ETL development to source data validation to analysis
• Connect the dots between regulatory expectations, commitments, and the Compliance and Product roadmaps in order to influence strategy
• Harness raw data to educate internal and external partners on the impact of new regulation, policies, or environmental changes to our compliance program and the Block platforms.
• Collaborate with partners from legal to engineering to inform strategic builds of essential compliance program elements
• Establish yourself as a leader in the organization, by connecting insights to action through expert communication and cross-functional alignment
• Leverage your subject matter expertise to educate, coach and influence in and out of the organization with a focus on contributing to the overall, long-term success of Block
• Lead multiple high-impact workstreams, through ability to seamlessly navigate levels of abstraction in written and verbal communications.

You Have

• 8+ years of related experience with a Bachelor’s degree; or 6+ years and a Master’s degree; or equivalent work experience.
• 5+ years of Compliance/AML experience
• Expert level abilities in SQL and data analysis/visualization tools (i.e. Tableau, Looker)
• Expert in ETL development
• Proven track record solving large and complex problems without clear answers, using deep and broad technical expertise
• Vision to define problems and manage projects in a fast-paced, evolving organization
• Experience bringing data to life for any audience through written and verbal communication and data visualization.
• Impeccable attention to detail and polish

Even Better (but not required):

• CAMS or other AML certification
• Experience in the FinTech or consulting industry or with financial crimes compliance systems, technologies and processes.
• Experience with automation using Python, R or Prefect

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

The Role

The Staff Data Analyst will join the Block Compliance Analytics team chartered to put data at the center of the Compliance organization. You have a proven track record in the Financial Crimes and AML space, and in this role you will develop strategies and lead key workstreams to deliver actionable analytics to leaders throughout the Block business and tell the story of our Compliance program to regulators and external parties. Focused on quantifying compliance risks and driving effectiveness, you will enable Block to redefine the world's relationship with money.

You Will

• Lead data strategy for our regulatory engagements - from ETL development to source data validation to analysis
• Connect the dots between regulatory expectations, commitments, and the Compliance and Product roadmaps in order to influence strategy
• Harness raw data to educate internal and external partners on the impact of new regulation, policies, or environmental changes to our compliance program and the Block platforms.
• Collaborate with partners from legal to engineering to inform strategic builds of essential compliance program elements
• Establish yourself as a leader in the organization, by connecting insights to action through expert communication and cross-functional alignment
• Leverage your subject matter expertise to educate, coach and influence in and out of the organization with a focus on contributing to the overall, long-term success of Block
• Lead multiple high-impact workstreams, through ability to seamlessly navigate levels of abstraction in written and verbal communications.

You Have

• 8+ years of related experience with a Bachelor’s degree; or 6+ years and a Master’s degree; or equivalent work experience.
• 5+ years of Compliance/AML experience
• Expert level abilities in SQL and data analysis/visualization tools (i.e. Tableau, Looker)
• Expert in ETL development
• Proven track record solving large and complex problems without clear answers, using deep and broad technical expertise
• Vision to define problems and manage projects in a fast-paced, evolving organization
• Experience bringing data to life for any audience through written and verbal communication and data visualization.
• Impeccable attention to detail and polish

Even Better (but not required):

• CAMS or other AML certification
• Experience in the FinTech or consulting industry or with financial crimes compliance systems, technologies and processes.
• Experience with automation using Python, R or Prefect

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

The Role

The Staff Data Analyst will join the Block Compliance Analytics team chartered to put data at the center of the Compliance organization. You have a proven track record in the Financial Crimes and AML space, and in this role you will develop strategies and lead key workstreams to deliver actionable analytics to leaders throughout the Block business and tell the story of our Compliance program to regulators and external parties. Focused on quantifying compliance risks and driving effectiveness, you will enable Block to redefine the world's relationship with money.

You Will

• Lead data strategy for our regulatory engagements - from ETL development to source data validation to analysis
• Connect the dots between regulatory expectations, commitments, and the Compliance and Product roadmaps in order to influence strategy
• Harness raw data to educate internal and external partners on the impact of new regulation, policies, or environmental changes to our compliance program and the Block platforms.
• Collaborate with partners from legal to engineering to inform strategic builds of essential compliance program elements
• Establish yourself as a leader in the organization, by connecting insights to action through expert communication and cross-functional alignment
• Leverage your subject matter expertise to educate, coach and influence in and out of the organization with a focus on contributing to the overall, long-term success of Block
• Lead multiple high-impact workstreams, through ability to seamlessly navigate levels of abstraction in written and verbal communications.

You Have

• 8+ years of related experience with a Bachelor’s degree; or 6+ years and a Master’s degree; or equivalent work experience.
• 5+ years of Compliance/AML experience
• Expert level abilities in SQL and data analysis/visualization tools (i.e. Tableau, Looker)
• Expert in ETL development
• Proven track record solving large and complex problems without clear answers, using deep and broad technical expertise
• Vision to define problems and manage projects in a fast-paced, evolving organization
• Experience bringing data to life for any audience through written and verbal communication and data visualization.
• Impeccable attention to detail and polish

Even Better (but not required):

• CAMS or other AML certification
• Experience in the FinTech or consulting industry or with financial crimes compliance systems, technologies and processes.
• Experience with automation using Python, R or Prefect

ESA is hiring a GIS Analyst/Developer to join our Pacific Northwest Technology Services team based out of our Seattle, WA, and/or Portland & Bend, OR offices. The ideal candidate will support multidisciplinary project teams across ESA's Pacific Northwest offices. This is a hybrid role with 3 days per week in either our Portland or Seattle offices, with availability expected during Pacific Time business hours.

Who you are

• You have 2 to 7 years of professional GIS experience and a degree in GIS, geography, computer science, environmental science, or a related field.
• You are strong across the fundamentals: coordinate systems and projections, spatial data management, spatial analysis, cartographic design, and field data collection. You also write reusable Python, manage code in Git, work with APIs and databases, and use AI coding assistants.
• You are proficient across the full range of GIS work, lean toward automation and tool-building, are a strong collaborator, and are motivated to grow within a project-based consulting environment.
• You are organized, deadline-driven, and able to manage multiple project assignments without losing track.
• You communicate clearly with people who do not speak GIS or code and are attentive to detail with a sound sense of judgment to know when a deliverable is ready to ship. Cartographic judgment matters: your maps need to be accurate, readable, and are commonly a focal point of client reports.
• You thrive in a fast-paced work environment where no two projects look the same. You are wired to collaborate, and constantly looking for better tools and patterns, especially for work that recurs.
• Must possess technical skills to include ArcGIS Pro and ArcGIS Online for spatial analysis, web maps, and application development (Experience Builder, Dashboards, StoryMaps); able to configure field data collection tools (Field Maps, Survey123, Fulcrum); Python beyond arcpy (pandas, geopandas, rasterio, and similar libraries); SQL for querying and maintaining spatial and non-spatial databases (PostgreSQL/PostGIS a plus); and Git and GitHub for version control and code review.
• Additional skills that are highly valued include remote sensing and machine learning (imagery analysis, classification, OBIA workflows, and classifiers such as Random Forest), R for statistical or spatial analysis, JavaScript (and ArcGIS JavaScript API) for customizing Experience Builder or Dashboards, fluency with AI coding assistants such as Claude Code, Copilot, or Cursor, and familiarity with Pacific Northwest datasets and sources. Consulting experience is a plus.

What Will You Do for ESA

• The day-to-day work includes building and maintaining geodatabases for restoration, planning, permitting, and infrastructure projects, producing maps, figures, and spatial analyses for technical reports, NEPA and SEPA documents, and client deliverables.
• Configure field data collection tools for biological surveys, cultural resource inventories, and site assessments; and developing web maps, dashboards, and Experience Builder applications used directly by project teams and clients.
• You will write Python for automation, data pipelines, and custom tools, and manage code in shared Git repositories with code review and basic CI practices.
• You will also support remote sensing and machine learning workflows when projects call for them.
• You will collaborate closely with biologists, hydrologists, planners, cultural resources specialists, engineers, landscape architects, and other GIS analysts. The diversity of disciplines on the team makes the work engaging and underscores the importance of strong communication and time management alongside technical expertise.

What's Special About Our Geospatial Team in the Pacific Northwest

The Pacific Northwest geospatial team supports public agencies, tribes, and communities across the region. Recent and ongoing clients include the Bonneville Power Administration, Washington Department of Fish and Wildlife, Washington and Oregon Departments of Natural Resources, US Army Corps of Engineers, WSDOT, ODOT, Northwest tribes, port authorities, and local jurisdictions across Washington and Oregon.

Our work is embedded within ESA's core technical disciplines: Biological Resources, Cultural and Historic Resources, Environmental Planning, and others. Beyond the Pacific Northwest, our team regularly supports work from ESA's California Regions and Southeast Region, which brings exposure to challenges such as CEQA review and wildfire recovery in California, and sea-level rise and coastal resilience in Florida.

Our team is part of ESA's broader Technology Services Practice. For projects that grow beyond traditional GIS, we collaborate with in-house data engineers, software developers, and architects, allowing us to deliver more complex, integrated solutions.

What's Special About ESA

ESA is a 100% employee-owned environmental consulting firm. Every eligible employee receives an annual ESOP allocation, which means you build equity in the company through the work you do. Other benefits include medical, dental, and vision insurance with 70% of premiums covered for you and your family; a 401(k) with company match; paid vacation, sick leave, and holidays; tuition reimbursement; professional development bonuses; and support for attending conferences. Mentorship and career development are an active part of how the team works.

POSITION SUMMARY