CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage—domain dominance. The company's products are powered by Coherent Distributed Networks (CDN™), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats. 

CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.

About the Team: Mission Engineering at CHAOS turns simulation output into decisions. We run large-scale modeling and simulation campaigns across all warfighting domains and the full kill chain, against named threats, in operationally relevant scenarios, at the speed engineering, operational, and customer teams actually need. Every CHAOS engineering trade, pursuit, and customer engagement is anchored in rigorous, physics-based, tactically relevant, and statistically valid analysis, and we're scaling the function to meet that bar across a growing product portfolio.

About the Role: You will own statistical methodology for the Mission Engineering team at CHAOS. You'll design experimental constructs that extract meaningful signals from broad trade studies and computationally expensive simulation runs, build the analytical pipelines the team relies on, push the methodological state of the art on how we characterize uncertainty, build surrogate models, and communicate quantitative results to decision-makers. You will work shoulder-to-shoulder with engineers and experts in every domain to ensure that simulated, experimental, and tactical results presented by CHAOS are rigorous, reproducible, and actually deliver answers that our teams, customers, and partners need

This is a foundational hire. You will have the freedom to move fast and set the standards for how CHAOS does quantitative analysis from day one.

What You'll Do:

• Design rigorous experimental constructs (DOE, space-filling designs, adaptive sampling, sequential experimentation) for large-scale simulation campaigns, getting maximum signal per simulation hour across operationally relevant trade spaces.
• Apply advanced statistical methods (such as regression modeling, Bayesian inference, surrogate/metamodeling, sensitivity analysis, uncertainty quantification, and beyond) to simulation output to produce decision-quality conclusions.
• Build and own scalable Python-based data pipelines for ingestion, processing, statistical analysis, and visualization of large simulation datasets.
• Develop ML and statistical surrogate models that accelerate analysis, enable real-time trade studies, and feed mission planning applications.
• Set team standards for data management, reproducibility, and statistical rigor (such as code review, methodology validation, and documentation practices).
• Translate operational and engineering questions into well-structured analytical approaches alongside M&S engineers, threat SMEs, and program staff. Push back when the framing is wrong.
• Author technical reports and briefing materials with clear, honest data visualizations; present quantitative results to senior technical and non-technical audiences in language they can act on.
• Mentor peers and cross-functional teams on experimental design, statistical methodology, and reproducible analysis.
• Support programs spanning DoD services, DARPA, intelligence community, and commercial customers.

Required Qualifications:

• Bachelor's degree or higher in Statistics, Data Science, Mathematics, Artificial Intelligence, a related quantitative field, or equivalent demonstrated expertise in modern statistical methodology.
• 7+ years applying advanced statistical and data science methods, ideally supporting defense, intelligence, or advanced technology programs.
• Deep working expertise in experimental design, regression and Bayesian methods, uncertainty quantification, and surrogate modeling, not just textbook familiarity.
• Strong proficiency working in Python, including scientific computing and ML libraries (especially Pandas, Polars, NumPy, SciPy, Scikit-Learn, Statsmodels, PyMC, Matplotlib, Seaborn, CuPy, PyTorch), and exposure to MATLAB or R.
• Demonstrated experience building scalable analytical pipelines for large datasets, including comfort with terabyte-scale data and modern dataframe tooling.
• Exceptional data visualization skills and the ability to develop briefing-quality technical products.
• Strong software development practices: version control, code review, reproducible workflows, and informed use of AI-assisted coding tools.
• Track record of working independently, taking ownership of ambiguous problems, and delivering with minimal oversight.
• Comfortable working with Linux operating systems and writing scalable scripts/software.
• Exceptional written and verbal communication skills, especially in translating quantitative approaches and results for non-technical audiences.
• Eligibility to obtain a Top Secret / Sensitive Compartmented Information (TS/SCI) clearance.

Preferred Qualifications:

• Master's or PhD in Statistics, Data Science, Mathematics, Artificial Intelligence, or a related quantitative field.
• Direct experience applying statistical methods to outputs from military simulations including high fidelity engineering models, war games, and engagement or mission-level combat simulations such as AFSIM, ESAMS, Brawler, or Ansys STK.
• Expertise designing and analyzing large-scale Monte Carlo and DOE-driven simulation campaigns supporting full kill chain or system effectiveness assessment.
• Experience in developing surrogate models, simulations, machine learning, or artificial intelligence models for engineering and operations analysis applications.
• Familiarity with sensor performance analysis (radar, EO/IR, RF, acoustic), weapon effectiveness analysis, or mission-level engagement analysis.
• Experience with HPC environments and distributed computing frameworks (including scalable cloud services and GPU-accelerated computing).
• Leadership experience: mentoring or leading project teams through complex analytical efforts.
• Substantial experience in communicating statistical methods to both technical and non-technical stakeholders and decisionmakers.
• Experience supporting rapid development programs for DoD contractors, combatant commands, research labs, and acquisition communities.
• Active TS/SCI clearance.

Why CHAOS?

• Health Benefits: Medical, dental, and vision benefits 100% paid for by the company
• Additional benefits: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more
• Our Perks: Free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
• Compensation Components: Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses
• Team Growth: 250 employees and counting across 5 global offices

The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. 

Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.

#LI-onsite

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com. 

About the Role  

We’re looking for a Senior Software Engineer on our Sports AI team to help build the next generation of real-time AI systems powering sports analysis and insights. 

These systems transform live sports broadcasts (incorporating signals from video, crowd noise, audio commentary, and text) into a structured understanding of game context and auto-generated insights. The outputs from these systems power a range of products including automated highlight clipping, augmented broadcasts, semi-automatic play-by-play collection, and natural-language insight generation. For example, these systems can detect a goal, attribute it to the correct player, and localize where it occurred on the pitch within seconds by combining crowd noise spikes, commentary signals, and video cues. 

This role sits at the intersection of streaming and distributed systems, AI, and product engineering. You’ll build and operate real-time pipelines that process noisy, asynchronous inputs under tight latency constraints. These systems combine traditional streaming and data processing techniques with modern multimodal AI models to produce reliable outputs in production. 

You’ll work on challenges like aligning signals across multiple sources, handling uncertainty and inconsistency in model outputs, and designing systems that degrade gracefully in real-world conditions. We are early in building these capabilities, so the role involves working through ambiguity, experimenting with different approaches, and building new systems from first principles where established patterns don’t yet exist. 

Key Responsibilities 

• Design, build, and operate real-time streaming systems that convert live sports broadcasts into structured events, attributes, and insights
• Ingest and synchronize signals from video, audio, commentary, and data feeds under real-world latency and reliability constraints
• Integrate modern AI models into production systems, including multi-step pipelines where model outputs are composed, validated, and refined
• Design and implement evaluation and observability frameworks to measure system quality, including offline benchmarks, real-time metrics, and regression testing
• Develop mechanisms for identifying and handling uncertainty in model outputs, such as confidence scoring, validation checks, and human-in-the-loop workflows where appropriate
• Own systems end-to-end from early prototypes through production, making key architectural decisions around scalability, reliability, and performance
• Collaborate closely with product and data partners to shape, prioritize, and ship high-impact systems
• Mentor engineers and help establish best practices for building and operating applied AI systems in production 

  
Qualifications   

• 5+ years of experience building production-grade software systems 
• Strong software engineering fundamentals including system design, testing, observability, and performance 
• Experience building streaming, data-intensive, and/or distributed systems with real-time constraints
• Proven ability to design scalable systems that are robust under real-world conditions, including handling partial failures, inconsistent data, and latency tradeoffs
• Ability to evaluate system quality beyond traditional metrics (e.g., ambiguous or probabilistic outputs)
• Product-minded: able to translate ambiguous problems into practical, high-impact solutions
• Strong, demonstrated interest in building AI-powered features or systems; keep up with latest generative AI progress and capabilities
• Comfortable working in fast-moving, iterative environments with evolving requirements 

  
Preferred Qualifications   

• Hands-on experience integrating LLMs and other ML/AI systems in production workflows via platforms like Vertex AI or AWS Bedrock
• Experience building or maintaining human-in-the-loop workflows
• Familiarity with streaming systems and tooling (e.g., Pulsar, Kafka, Flink, etc.)
• Experience working with audio/video streaming and processing systems, including familiarity with media delivery protocols (e.g., HLS, DASH, RTP), container formats, codecs, and tooling such as FFmpeg or GStreamer
• Background or strong interest in sports
• Experience with Rust 

The salary for this role is based on an annualized range of $160,000 - $230,000 USD. This role will also be eligible to take part in Genius Sports Group's benefits plan.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change 

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

As a Staff Data Scientist, you will lead innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. You will drive innovative research in experimentation methodologies while mentoring other team members. You’ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions.

What You’ll Be Doing:

• Drive innovation in experimentation research by shaping measurement frameworks and best practices, and by developing new methodologies that enhance the quality, speed, and scalability of experiments.
• Advance experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analytical capabilities.
• Mentor and guide less-senior data scientists, building expertise in experimentation and causal inference while providing technical direction to ensure rigor and impact.
• Partner with product managers and business leaders to identify high-impact experimentation opportunities and align them with PlayStation’s strategic goals.
• Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
• Contribute to research and prototyping of novel experimentation techniques that address complex real-world challenges, such as user behavior variability and data limitations.
• Champion a data-driven culture by establishing experimentation standards, ethical practices, and reproducibility
• Represent the team’s insights and innovations across the broader data science and product communities within PlayStation.
• Stay at the forefront of the field by monitoring emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve capabilities.

What We’re Looking For:

• Master’s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
• Strong familiarity with the gaming industry and contemporary gaming experiences.
• 8+ years of experience in data science, including extensive hands-on work in experimentation, with at least 2+ years in a mentoring or technical leadership capacity.
• Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
• Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
• Expertise in causal inference techniques and designing both randomized and quasi-experiments.
• Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
• Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
• Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
• A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.

Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. 

 Who We Are

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, 31st Union, HB Studios, and 2K SportsLab. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA®️ 2K,  renowned BioShock®️, Borderlands®️, Mafia, Sid Meier’s Civilization®️ and XCOM®️ brands; popular WWE®️ 2K and WWE®️ SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR®️ 2K.

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We encourage ALL applicants to explore our global positions, even if they don’t meet every requirement for the role.  If you're interested in the job and think you have what it takes to work at 2K, we encourage you to apply!

 What You Will Do

 2K Games is building a world-class data ecosystem to power real-time analytics, machine learning, and game intelligence across all our franchises. We are looking for a Senior Product Manager, Data Science to drive the vision, strategy, and execution of our data science strategies and products, partnering with game studios and analytics teams to enable enhanced player experiences.

This role requires a blend of strategic development, product management expertise, and technical understanding of data science and machine learning (ML) methodologies. The ideal candidate will seamlessly integrate data-driven strategies with player-centric goals, ensuring AI and analytics improve game design, live operations, and business intelligence.

Strategic Vision & Product Leadership

• Develop and implement the product strategy for 2K’s central data science platform, partnering with Data Scientists across our gaming business units to drive predictive analytics, player personalization, and real-time decision-making;
• Collaborate with the Director of Product, 2K Data to align the data engineering roadmap with customer objectives and player-centric outcomes;
• Define and prioritize a high-impact data science roadmap to lead a team of central data scientists in driving a variety of use cases such as player retention modeling, dynamic content generation, and real-time fraud detection. 

Data Science Platform Development

• Lead the development of reusable and extensible machine learning models, feature engineering pipelines, and ML-driven insights using tools like Databricks, MLflow, and SageMaker;
• Ensure data science initiatives integrate seamlessly with the real-time data infrastructure, supporting streaming analytics, AI-powered LiveOps, and dynamic matchmaking systems;
• Establish and maintain self-service tools that enable game teams to experiment with and deploy AI models independently;
• Support the build and enhancement of the central ML feature store;
• Monitor and optimize model performance in production environments, using MLOps standard methodologies;
• Implement governance frameworks to ensure AI models adhere responsibly to data privacy, security, and compliance standards (e.g., CCPA, GDPR). 

Cross-Functional Collaboration

• Work closely with data scientists across game studios and business units to understand their data science needs and to provide data-driven solutions at the pace they need them;
• Act as a strategic liaison between data scientists and product teams, ensuring model outputs are actionable, reliable, and aligned with business goals;
• Promote a culture of experimentation and rapid iteration, supporting game studios with A/B testing frameworks, predictive analytics, and personalization engines.
• Find opportunities to enhance game design and player engagement through advanced analytics and machine learning.

 What You Need

• 7+ years of experience in product management with a focus on data science, analytics, or ML-driven products
• 5+ years of experience in gaming, technology, or entertainment industries;
• Strong understanding of data science methodologies, such as predictive modeling, natural language processing, and computer vision;
• Experience with data science tools and platforms, such as Python, SQL, Databricks,TensorFlow, and R;
• Customer-focused mentality with focus on the Why and What without getting lost in the What and the How;
• Consistent track record of delivering data science products and features from ideation to production, with measurable business impact;
• Ability to translate complex data insights into clear product strategies and business opportunities;
• Knowledge of real-time analytics platforms, streaming data processing, and feature store management;
• Familiarity with data governance frameworks, model risk management, and MLOps standard processes preferred;
• Advanced degree or equivalent experience in Data Science, Machine Learning, Computer Science, or a related field preferred.

The pay range for this position in California at the start of employment is expected to be between $109,800 and $162,480 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses.

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.

Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts. 

#LI-Onsite

Who We Are

EDO is the TV outcomes company. Our measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales, helping advertisers, agencies, networks, streamers, and studios understand what works across linear and streaming TV.

We combine immediate engagement signals with decision science, vertical AI, and investment-grade data to help the advertising industry maximize media impact, optimize creative performance, and value every impression. EDO is headquartered in New York City and Los Angeles with office space in San Francisco. For employees residing full-time in NYC, SF, or LA, we have a hybrid work policy of three days in the office and two remote work days.

The Role

EDO is looking for a Senior Platform Engineer to help accelerate our shift toward a platform model. This is a senior IC role on the Infrastructure team focused on paved paths, reusable infrastructure patterns, and self-service workflows that help software, data, and machine learning engineers ship safely and efficiently.

Our environment is AWS-heavy and data-intensive, with heavy use of EC2, RDS, S3, SageMaker, MWAA/Airflow, Snowflake, dbt, Chef, Terraform, Spacelift, and emerging ECS/container patterns. The right person has strong AWS and infrastructure-as-code fundamentals, prior exposure to platform engineering practices, and the pragmatism to modernize existing systems without assuming everything should be rebuilt from scratch.

We approach infrastructure as an internal product: understanding engineers’ needs, prioritizing high-leverage platform capabilities, and iterating on tools and workflows that make teams faster, safer, and more self-sufficient.

What You Will Do

• Build and evolve EDO's internal platform capabilities: paved paths, reusable infrastructure modules, deployment standards, documentation, and self-service workflows.
• Own and improve Terraform and Spacelift-based infrastructure workflows, including module design, reviews, approvals, drift detection, and guardrails.
• Modernize existing AWS infrastructure, including EC2- and Chef-based systems, while helping teams adopt more standardized and repeatable patterns over time.
• Support production data and ML platform infrastructure, including MWAA/Airflow, Snowflake, dbt, SageMaker, S3, RDS, and related AWS services.
• Partner with software, data, and ML engineers as internal customers, turning recurring infrastructure needs into scalable platform capabilities rather than one-off support work.
• Improve deployment, CI/CD, observability, alerting, and incident response practices so teams can operate production systems with greater confidence.
• Expand pragmatic ECS/container deployment patterns where they create value, without treating Kubernetes as the default answer.
• Participate in a lightweight on-call rotation and use operational learnings to reduce toil, improve reliability, and strengthen the platform.

What We Are Looking For

• 6+ years of experience in platform engineering, infrastructure engineering, SRE, DevOps, cloud infrastructure, or similar roles.
• Experience building, operating, or contributing to an internal developer platform, infrastructure platform, developer productivity team, or similar platform-oriented function.
• Strong production experience with AWS, especially EC2, RDS, S3, IAM, networking, load balancing, and related operational patterns.
• Strong hands-on experience with Terraform or similar infrastructure-as-code tooling, including reusable modules and multi-environment patterns.
• Comfort working in a data-heavy environment and supporting technologies such as Airflow/MWAA, Snowflake, dbt, SageMaker, S3, and RDS.
• Product-minded approach to infrastructure: able to understand engineer pain points, prioritize high-impact platform work, document paved paths, and iterate based on adoption and feedback.
• Strong operational judgment, including debugging production systems, improving observability, and building platform patterns that support reliability, security, and cost efficiency.

Bonus Points

• Hands-on experience with Spacelift or similar IaC orchestration platforms such as Terraform Cloud or Atlantis.
• Experience helping an organization adopt platform engineering practices, including paved paths, golden paths, service templates, and developer-facing documentation.
• Experience with Chef, AWS cost management, security/compliance-driven infrastructure, or production ML/data science infrastructure.

Compensation and Benefits

EDO offers a competitive compensation package. Components of compensation include:

• Mid-stage equity and competitive salary
• Flexible Time Off
• Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
• 401(k) plan, FSA, HSA
• Commuter Benefits
• When in an office, employee meals, snacks, and more

In compliance with New York and California Pay Transparency Law, the salary range for this position is $170,000 to $190,000 plus equity. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations.

EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.

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 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. 

Lotlinx is experiencing tremendous growth and has an exciting opportunity for a Market Manager based in Los Angeles. 

Role details

The Market Manager builds & maintains influential relationships with customers and dealers by creating demand for Lotlinx products, proactively offering solutions. This person will generate sales with new dealerships, increasing market penetration, and contributing revenue. They will work with client launch teams, sales development, account management, and other business partners.

Key Responsibilities

• Uncover dealer pain points/sales opportunities
• Align Lotlinx’s solutions to the dealer’s business needs
• Build consensus on proposals and secure agreements
• Ensure dealer activation and smooth transition of the relationship to account management
• Build and work a sales pipeline
• Meet activity and revenue targets
• Use best practices and knowledge of internal or external business issues to improve products/services or processes
• Act as a resource for colleagues with less experience
• Additional projects as needed

What You’ll Be Doing Day-to-Day

• Demand Creation: Identify and address the technical needs of complex, emerging, or underpenetrated prospects. Utilize a fundamental understanding of all Lotlinx’s solutions to align them with customer business needs. Drive and create new opportunities within assigned accounts. 
• Account Management: Create selling opportunities through a planned discovery process. Develop a well-rounded understanding of customer needs and proficiently translate them into tailored Lotlinx product solutions. Execute solution selling by applying a comprehensive knowledge of Lotlinx products and design processes. Drive profit growth and maximize margins by promoting value-added, long-term solutions with an emphasis on demand creation and engineering.
• Drive dealership relationships at multiple levels. Grow market share and sales.

What We Are Looking For

• In-depth knowledge and experience of automotive industry and dealerships
• Complex problem solver
• Communicative and high energy
• Self-motivated and ambitious
• Well-organized and able to multitask, managing time wisely
• Team player
• Revenue-focused
• Customer-focused
• Works independently; receives minimal guidance

Requirements

• Bachelor’s degree or equivalent experience
• 5+ years of sales experience preferred
• Experience with presentation tools, Salesforce, and Outreach
• Proven track record of sales success
• Experience in the automotive industry is required
• Existing in-market dealer relationships highly preferred

Pay: $85,000 base salary + uncapped commissions

Benefits: Medical, Dental, Vision, Matching 401k

ML engineers at Riot own the full lifecycle of machine learning in production - from problem framing through model design, deployment, and operation - building systems that serve players at global scale.  They work across disciplines with engineers, data scientists, designers, and product teams to turn ML capabilities into player-facing experiences and tools for making great games.

As a Staff Applied Modeling Engineer on an unpublished R&D product, you will lead the modeling strategy for the team - establishing architecture patterns, setting standards, and continuing to design solutions for the highest-complexity problems directly.  Your work will span multi-month efforts and across multiple disciplines, shaping how the team (and Riot) approach applied ML.  You will report to the Senior Engineering Manager of the Tech Foundations team within an R&D game project.

Responsibilities:

• Work closely with designers, artists, and other engineers to discover and conceptualize opportunities for AI-powered workflow enhancements
• Establish AI/ML architecture patterns within the project and design solutions for high-complexity problems; guide solution design considering integration and operational constraints
• Refine modeling and feature invention strategy for the project; improve architecture trade-offs, signal extraction techniques, and quality standards for complex data sources
• Refine multi-model system design and model optimization; improve interaction analysis, dependency management, and performance evaluation techniques
• Establish pipeline architecture patterns within the project, aligning with Riot’s shared tech ecosystem; guide workflow design and deployment automation; set reliability standards
• Establish research-to-production practices in partnership with research scientists; balance cutting-edge techniques with production reliability
• Elevate the team’s expertise in advanced AI/ML methods for game development through mentorship and documentation, and contribute to team health through cross-disciplinary collaboration; level up developers across discipline

Required Qualifications:

• Bachelor’s degree or higher in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience
• 6+ years of experience delivering ML systems in production, including 3+ years in applied modeling or ML research roles
• Evidence that your modeling choices have been adopted beyond your immediate team - whether through reusable patterns, shared architectures, or influence on how others approach problems
• History of working with complex or unconventional data sources where off-the-shelf feature engineering doesn’t apply
• Experience in production environments with interacting models, feedback loops, or systems where model behavior has downstream consequences beyond a single prediction
• Comfort with ambiguity - you’ve shipped in situations where the success metric, the right approach, or both were unclear at the start.
• Track record mentoring engineers across roles and levels; evidence of raising the bar for people around you.
• Strong written and verbal communication skills across technical and non-technical audiences
• Passion for player experience, games, or creative technology
• Proficiency in C++

Desired Qualifications:

• Background in reinforcement learning, imitation learning, generative models, or simulation-based training in interactive environments
• Familiarity with ML platform components (model serving, feature stores, ML observability)
• Experience working in a AAA game engine (i.e. Unreal)
• Experience building multiplayer games
• Experience implementing tools for game designers and/or artists
• Experience mentoring technical ICs and contributing to engineering culture

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

California Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of California if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

California Salary Range: $170,000 - $230,000 (80/20 split)

ASSOCIATE CNC MACHINIST (MILL)

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As an Associate CNC Machinist, you’ll play a key role in Freeform’s machining and post-processing operations. You’ll work with advanced multi-axis CNC machines that transform 3D-printed metal parts into precision-finished aerospace-grade components, helping bridge the gap between 3D printing and final production. You’ll gain hands-on experience operating CNCs, mills, and lathes, making basic program edits, setting up jobs, and inspecting parts. The right candidate for this role will be an energetic go-getter with a positive attitude and a “no job too big or small” mentality. If you are highly motivated to learn and grow as a manufacturing professional, we'd love to hear from you

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative individuals who love solving hard problems and creating amazing technology!  

Responsibilities:  

• Operate and support CNC machining, including setup, basic programming edits, tool changes, and part inspection
• Use manual machining tools such as mills, lathes, bandsaws, and grinders to support part finishing and fixture creation
• Learn and apply precision measurement techniques to verify part quality and tolerances
• Support maintenance and troubleshooting of CNC machines and shop equipment (air compressors, chillers, inert gas systems, etc.)
• Contribute to shop organization and process improvements, helping build a high-functioning R&D machine shop

Basic Qualifications:  

• 1+ years of experience of CNC operation OR completion of formal technical training (e.g., NTMA, community college machining program, or similar)

Nice to Have:  

• Experience operating CNC mills or lathes, including basic G-code understanding
• Exposure to metal additive manufacturing and post-processing techniques
• Familiarity with manual machining, welding, or fabrication of stainless steel, aluminum, or nickel alloys
• Ability to use hand tools, power tools, cranes, forklifts, and other shop equipment
• Experience interpreting blueprints and using precision measuring instruments (micrometers, calipers, etc.)
• Comfort working with facility systems such as air, water, and inert gases
• Ability to lift and/or move up to 30lbs unassisted 
• Ability to climb ladders and be on your feet for extended periods of time 
• Must be available and willing to work overtime when needed  

Location: 

• Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

• Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer: 

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions. 
• We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology. 
• Benefits
  • Significant stock option packages
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
  • Life insurance
  • Traditional and Roth 401(k)
  • Relocation assistance provided
  • Paid vacation, sick leave, and company holidays
  • Generous Paid Parental Leave and extended transition back to work for the birthing parent
  • Free daily catered lunch and dinner, and fully stocked kitchenette
  • Casual dress, flexible work hours, and regular catered team building events
• Compensation
  • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role.
  • In addition to the significant stock option package, the estimated pay range for this role is $25-$35/hour. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
• Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. 

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

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

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

#LI-HYBRID

#LI-ZZ1

Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains.  We work with both new and current technology, creating innovative solutions to solve complex, large-scale challenges and deliver player value.  As a Principal Software Engineer, you’ll lead the development of key features and model high standards of engineering excellence. 

As a Principal Software Engineer on Riot’s AI Enablement team, you are a technical force multiplier. You will embed directly with any team at Riot to accelerate their adoption of modern AI development (e.g., generative AI, LLMs, reinforcement learning). Operating as part of an elite, highly mobile strike team, you will build production-ready AI integrations, develop robust developer tools, and level up partner engineers through side-by-side collaboration. Once a team is empowered and systems are successfully handed off, you will deploy to the next challenge. You will be at the forefront of cutting-edge AI in the game industry, bridging the gap between new technologies and live environments to shape how Riot develops products and games. You will be accountable to Riot’s Head of AI Product.

Responsibilities:

• Implement and Integrate: Lead the technical execution of integrating modern AI practices into existing engines, tools, and pipelines.
• Embed and Accelerate: Deploy onto partner teams across Riot to break down complex AI implementation problems, establish technical direction, and deliver scalable, highly performant solutions.
• Mentorship and Handoff: Train and coach embedded team engineers through pair programming, technical reviews, and hands-on collaboration. Ensure a seamless transition of code ownership before deploying to your next assignment.
• Evangelize Best Practices: Share engineering best practices, security guardrails, and performance standards for AI usage across Riot’s development ecosystem.
• Build Foundations: Identify when industry-standard tools are insufficient and develop new foundations, middleware, or APIs to connect AI research with practical development.
• Manage Ambiguity: Actively navigate highly complex, uncharted technical spaces, communicating trade-offs and building consensus among engineering and product leadership.

Required Qualifications:

• BS in Computer Science (or equivalent experience) with 8-12 years of software engineering experience.
• Extensive experience with systems integration, technical leadership, and early-stage software development.
• Deep programming proficiency in C++ and at least one other language (e.g., Python, C#).
• Shipped at least one AAA game or large-scale, high-concurrency live service product.
• Proven track record of managing high ambiguity, setting technical strategy, and leading multi-month/year initiatives.
• Practical experience utilizing, integrating, or building modern AI tools, APIs, or infrastructure.

Desired Qualifications:

• Experience extending or developing within Unreal Engine (C++).
• Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) or LLM orchestration.
• Background working on shared engine technology, central tools, or platform engineering teams.
• Familiarity with the Runeterra and VALORANT IPs.

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in a variety of broader domains. As Software Engineers, we work with both new and current technology, creating innovative solutions to overcome high-volume obstacles and to deliver player value.

As a Staff Software Engineer in Riot Data Foundations on the Data Experiences and Automation team, you will have the chance to affect how Riot collects and uses data to improve the experience for players and Rioters. You'll work closely with our product partner and technical lead to expand data consumption and reporting capabilities and build solutions to improve the development lifecycle for data engineers and insight analysts throughout the organization. You'll be helping as Riot enables advancements and fast iteration in Machine Learning and GenAI pipelines.You will bring your experience working with globally distributed systems and work with our team of software engineers to help build efficient solutions. You will report into the Engineering Manager of the team.

Responsibilities:

• Build and enhance systems that allow team members to more effectively engage with the tools in our data ecosystem. 
• Attend stand-ups and team rituals, and work with other software engineers to deliver on team goals
• Participate in code reviews with other members of the team
• Be part of an on-call rotation to support our live products
• Provide meaningful code reviews for other members of the team
• Work collaboratively with non technical customers to accomplish deliverables

Required Qualifications:

• Bachelor’s degree in Computer Science or comparable field
• Understanding of core data engineering concepts and data pipelines
• 7+ years experience in Python, and SQL
• 5+ years experience working with data warehousing 
• Experience in working in Agile and DevOps environment

Desired Qualifications:

• Experience with ML Operations and GenAI pipelines and infrastructure
• Experience with open source ETL frameworks such as Airflow, Luigi, or similar

For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value where we support the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

Accordion Intelligence Lab

The AI Lab is composed of leading software and AI engineers, designing agentic-AI solutions ahead of the market. Our group builds and operationalizes the AI systems that power Accordion’s consulting capabilities, from agentic architectures and RAG pipelines to evaluation frameworks and production observability.

The Lab works closely with practice leaders to translate research findings into scalable, reliable tools that advance Accordion’s AI-driven value creation work for PE clients and their portfolio companies.

About the Role

We're looking for a Data Specialist to join one of Accordion's AI-augmented delivery pods. These pods are purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations.

In this role, you are the person who makes data work in practice. You move fluidly between messy source systems and production-ready pipelines, and you do it fast. You'll work directly alongside AI engineers and product managers to scope data requirements, diagnose quality issues, and build the data foundations that AI systems depend on. Client-facing moments come with the territory. You'll need to ask sharp questions, explain what you're seeing in plain language, and earn trust quickly.

This is not a role for someone who needs clean handoffs and stable requirements. The data is complicated, the timelines are short, and the problems change. If that sounds like the environment where you do your best work, this is the role.

What You’ll Do

• Build and maintain the data pipelines, models, and integrations that AI systems depend on, from raw source data to production-ready outputs
• Scope, design, and write custom ML models tailored to client problems, from feature engineering through evaluation and deployment
• Explore unfamiliar datasets with speed and rigor: identify structure, surface anomalies, and form a clear point of view on what the data can and can't support
• Diagnose data quality issues quickly, communicate their impact clearly, and drive resolution without waiting to be asked
• Work directly alongside AI engineers and product managers to translate ambiguous client problems into reliable, well-documented data products
• Run client working sessions on data (source system walkthroughs, model findings, quality assessments) and own the room when you do
• Tell the data story to non-technical audiences: in a chart, in a slide, in a meeting with a CFO who doesn't have time for jargon
• Navigate enterprise data environments fluently (ERP systems, BI platforms, financial data infrastructure) and get things done inside them
• Use AI tools to move faster across the full scope of your work: exploration, modeling, documentation, and client communication
• Travel to client site as needed

Success in the First 6 Months

• Own end-to-end data delivery on multiple AI engagements, from initial source system assessment through production-ready pipelines
• Establish a reputation within your pod for being the person who finds the data problem before it becomes the team's problem
• Run direct client working sessions on data (scope, quality, or access) and leave the client confident in your read of the situation
• Demonstrate faster, higher-quality output because of how you use AI tools, not just that you use them

 What You’ll Bring

• Deep, practical data skills across the full stack: SQL, Python, machine learning, data modeling, pipeline development, and hands-on experience with messy, real-world source systems
• Strong instincts for data quality: You find the problem, quantify the impact, and communicate what it means before anyone has to ask
• Experience working in fast-moving, sprint-based environments where requirements shift and you still ship
• Comfort working directly with clients: Asking the right questions, translating technical findings into plain language, and building credibility quickly
• Background in finance or PE-adjacent environments: ERP systems, FP&A data, financial close processes, or portfolio company data infrastructure
• Fluent with AI and ML workflows: Enough to understand what the engineers need from the data layer, why it matters, and the ability to teach what you know
• AI tools woven into how you work daily, with demonstrably faster output to show for it
• Strong written communication: you can document a model, write a findings summary, produce compelling stories from messy data, and draft a client-facing issue log clearly and quickly

This is a high-velocity environment. Sprints are short, client expectations are high, and we don’t slow down between engagements. If you’ve spent time in large enterprise engineering organizations where velocity is constrained by process, this will feel different.

The people who thrive here are those who find the pace energizing, not exhausting. They ship fast because they’ve internalized good judgment (not because they cut corners). They use AI tools to multiply their output, communicate clearly with non-technical stakeholders, and course-correct quickly when something isn’t working.

The annual salary for this role ranges from: $144,500 to $230,000 USD + significant bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-BS1

Riot Data Scientists combine their wide technical expertise across data processing, automation, machine learning ("ML"), artificial intelligence ("AI"), and experimental design to inform decisions and develop data-powered products.

As a Principal Machine Learning Engineer on the Publishing Platform Data team, you will define and drive the modeling architecture that powers personalization, matchmaking, and social experiences across Riot’s player ecosystem. You’ll partner closely with Product, Data Engineering, and Software Engineering to transform large-scale social graph, matchmaking, and behavioral data into adaptive, fair, and player-centric AI systems. Your work shapes how players connect, discover communities, and experience matchmaking that feels meaningful and equitable.

Responsibilities:

• Define and lead the modeling architecture for personalization, matchmaking, social graph recommendations, and player/community discovery.
• ‘Architect multi-model systems combining skill, preference, trust, and safety signals for fair and meaningful matchmaking
• Develop models for skill inference, player behavior prediction, trust & safety signals, and multi-objective optimization across fairness, latency, and experience quality.
• Build and optimize real-time inference systems for personalized content, store offers, matchmaking, and player interactions at global scale.
• Drive adoption of advanced modeling approaches including contextual bandits, reinforcement learning, graph ML, and session-aware personalization.
• Partner with Data Engineering and Product to shape data schemas, feature pipelines, telemetry standards, and model observability across the ML lifecycle.
• Define Responsible AI standards and implement fairness audits, bias mitigation, transparency, and safety mechanisms for matchmaking and social systems.
• Lead post-launch evaluations of algorithmic impact on player sentiment, community health, and ecosystem stability.
• Set organization-wide standards for model optimization (latency, throughput, memory), multi-model orchestration, and drift detection.
• Mentor senior ML engineers and data scientists, influencing system design, experimentation strategy, and modeling craft across organizations.
• Represent the ML discipline in cross-functional design reviews, driving alignment on technical decisions, data contracts, and long-term strategy

Required Qualifications:

• 10+ years in ML/Applied AI; 3+ years in principal/staff-level technical leadership.
• Experience with large-scale, real-time ML systems (recommendations, personalization, matchmaking).
• Expertise in graph ML, RL, and representation learning.
• Proficiency in PyTorch, TensorFlow, JAX, and modern data/serving tools (Ray, Kafka, Flink, Redis).
• Strong grounding in A/B testing, experiment design, and experience metrics.
• Track record of setting ML strategy and standards across teams.

Desired Qualifications:

• Professional background in gaming, player modeling, or social ecosystems.
• Experience with trust & safety, toxicity detection, or community health models.
• Familiarity with Vertex AI, SageMaker, or internal large-scale inference systems.
• Experience integrating ML systems with live-service game backends.

For this role, you'll find success through craft expertise and a collaborative spirit that prioritizes the delight of players. We will look at your past studies and experience, but for this role, we also look for dedicated people with a personal relationship with games. If you embody player empathy and care about players' experiences, this is the role for you!

Our Perks:

Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information.

At Riot Games, we put players first. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.

Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:

• Safeguarding confidential and sensitive Company data
• Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
• Accessing Company assets, secure digital systems, and networks
• Ensuring a safe interactive environment for players and other Rioters

These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security. 

PROCESS ENGINEER (ADVANCED R&D)

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Process Engineer at Freeform, you will have the unique opportunity to invent novel processes for the world’s most advanced metal 3D printing systems. You will deep dive into complex, multi-physics phenomena to gain a fundamental understanding of the system and use those learnings to create a new state-of-the-art process. You will work alongside an interdisciplinary team of mechanical, software, and simulations engineers to analyze massive in-situ data sets as well as post-print material characteristics and rapidly iterate on improving the printing technology with machine learning. The ideal candidate will be comfortable working in a fast-paced R&D environment, solving very audacious problems from scratch.

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology! 

Responsibilities: 

• Assist the Process Engineering team in developing a deep understanding of the metal additive process and hardware operation by analyzing massive in-situ data sets to gain insight into physical mechanisms of the printing process
• Drive execution of experiments, analyze data, and develop and optimize processes on a metal additive system
• Perform post-build metrology measurements and analysis of material properties such as tensile strength, surface roughness, and alloy microstructure
• Generate and track quality metrics of printed customer parts such as dimensional accuracy, defect distribution, and surface roughness
• Assist in the development and implementation of tool qualification procedures
• Collaborate with mechanical, software, and simulations engineers to analyze data and rapidly improve printing processes

Basic Qualifications:

• Advanced degree (MS/PhD) in material science, physics, or similar engineering discipline
• First principles thinker with strong fundamentals in physics
• Experience with experimental design and statistical data analysis
• Strong data analysis skills and ability to interpret important information from extremely large data sets

Nice to Have:

• Undergraduate research experience in material science, physics, mechanical engineering
• Process development experience from cutting edge industries such as semiconductor, solar, or displays
• Experience with Python and/or MATLAB
• Experience with statistical data analysis software such as R, JMP, or Minitab
• Experience operating complex equipment
• Familiarity with metallurgical sample preparation such as cutting, grinding, polishing, acid etching, and optical microscopy
• Passion for developing new processes from scratch
• Excellent verbal and written communication skills

Location:

• Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

• Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
• We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
• Benefits
  • Significant stock option packages
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
  • Life insurance
  • Traditional and Roth 401(k)
  • Relocation assistance provided 
  • Paid vacation, sick leave, and company holidays
  • Generous Paid Parental Leave and extended transition back to work for the birthing parent
  • Free daily catered lunch and dinner, and fully stocked kitchenette
  • Casual dress, flexible work hours, and regular catered team building events
• Compensation  
  • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role. 
  • In addition to the significant stock option package, the estimated salary range for this role is $95,000-$140,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
• Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Please note: This position is not eligible for immigration sponsorship. 

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

AI Governance Team, Responsible AI/ML Data Scientist

We are seeking a Vice President, Responsible AI/ML Data Scientist on our AI Governance Team who combines technical expertise in Data Science and Machine Learning with a strong advisory lens to help drive trustworthy AI solution development across Accordion's practices. In this role, you will serve as an internal subject matter expert, embedding responsible AI principles and controls across the AI development lifecycle to drive validated, explainable, compliant, and auditable AI solutions. Drawing on your experience with AI policy, regulatory standards, and testing methodologies, you will translate governance requirements into actionable and testable playbooks that teams across the business can apply consistently. This position is critical to co-designing AI solutions with embedded Responsible AI practices aligned to Accordion's AI Governance principles. As Accordion scales AI capabilities across its practice areas, this role will provide the validation rigor and oversight needed to ensure we develop AI solutions our clients and firm can trust.

This position must be based in our New York City, Chicago, or San Francisco office and is a hybrid role with the flexibility to work remotely 2 days a week.

This position is not eligible for immigration sponsorship.

What You’ll Do:

Governance & Technical Standards

• Translate AI governance, regulatory, and compliance requirements into testable operational Responsible AI playbooks with quantifiable standards for transparency, accuracy, fairness, privacy, and accountability — tailored to Accordion's AI solutions and business model
• Develop frameworks and guidance supporting systematic evaluation, testing, and risk mitigation that enable auditability, lineage, and transparent decision records
• Build evaluation frameworks that guide data scientists and engineering teams in developing, testing, and monitoring AI systems requirements; define mitigation strategies, detection methodologies, and acceptability thresholds
• Develop and implement testing principles for bias detection, model robustness evaluation, privacy preservation, and AI/privacy regulation alignment across different AI architectures and data types
• Establish benchmarks and governance processes aligned with industry standards (e.g., NIST AI RMF, EU AI Act, ISO 42001) that enable auditable AI transparency and explainability against applicable regulations and Accordion standards

Testing & Validation

• Collaborate with data science and engineering teams across our AI solution practices to embed responsible AI controls throughout the development lifecycle
• Develop repeatable testing and validation playbooks and evaluation frameworks for use across practice areas
• Pressure test AI solutions for accuracy, reliability, and trustworthiness, including output anomaly detection, logging, and observability mechanisms
• Develop methods to produce model cards and support audit trails for outputs across Accordion's business practice pillars and Client solutions

Cross-Functional Advisory

• Act as the firm's internal subject matter expert on Responsible AI topics including algorithmic fairness, transparency, privacy preservation, safety protocols, and risk mitigation strategies across the AI lifecycle
• Partner with Legal/Privacy/Risk, Technology, and D&A teams to translate regulatory requirements into actionable and measurable controls and governance structures
• Collaborate with teams developing AI solutions on risk-informed design decisions — advising on model selection, testing approaches, and appropriate guardrails
• Establish Responsible AI frameworks and operational playbooks that demonstrate alignment with evolving AI regulations (e.g., EU AI Act, GDPR, CCPA) and sector-specific requirements
• Monitor emerging AI regulations, industry standards, and responsible AI methodologies — translating insights into actionable internal design guidance
• Where applicable, support higher-risk or higher-profile engagements and AI product development where rigorous testing and evaluation of AI solutions is required

You Have:

• 5+ years of hands-on experience in data and ML, including developing, deploying, and evaluating solutions using a range of skillsets (e.g., statistics, machine learning, NLP, data visualization)
• Bachelor's degree in Computer Science, Data Science, Information Systems, Mathematics, Engineering, Statistics, or a related quantitative field
• Proven technical experience in regulated or complex industries with demonstrated collaboration across Legal/Risk/Compliance, Security, and AI/ML engineering teams
• Track record of operationalizing responsible AI through technical development frameworks, testing protocols, and quantitative evaluation that embed fairness, transparency, and accountability into production AI systems
• Strong programming proficiency in Python, R, or similar languages, with experience in ML frameworks and responsible AI tooling
• Understanding of AI and privacy regulations and standards — including EU AI Act, NIST AI RMF, GDPR, CCPA, and ISO 42001 — and the ability to translate regulatory mandates into technical controls
• Exceptional communication skills with the ability to convey complex technical and regulatory considerations to non-technical stakeholders, including leadership and cross-functional teams

Preferred Qualifications:

• Advanced degree (Master's) in Computer Science, Data Science, Statistics, Information Systems, Engineering, or a related quantitative discipline
• Consulting experience at a leading management or professional services firm
• Direct experience working with Legal/Privacy/Compliance teams on AI, data governance, or emerging technology matters
• Familiarity with responsible AI tooling, red teaming platforms, or model evaluation frameworks

You Are:

• Energized by ensuring AI systems that solve complex business challenges are built responsibly — with fairness, accuracy, transparency, and privacy by design embedded from the start
• A cross-functional collaborator who navigates matrixed organizational dynamics, working seamlessly with Legal/Risk/Compliance, Technology/Engineering, and business teams to establish AI principles, governance playbooks, and technical roadmaps
• A clear communicator who can translate AI governance concepts and technical risk findings into language that resonates with non-technical stakeholders and leadership
• A proactive problem-solver who thrives on staying ahead of AI governance expectations and emerging regulations — and can turn frameworks into practical controls
• An adaptive contributor who embraces the pace of consulting, working across diverse sectors and practice areas

The annual salary for this role ranges from: $160,000 to $175,000 + benefits. This role is also eligible for bonuses, based on individual and company performance. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to, geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity. 

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-HA1

Please note: This position is not eligible for immigration sponsorship. 

Company Overview 

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation. 

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.  

AI Governance Team, AI Risk and Operations 

We are seeking a Vice President, AI Risk and Operations on our AI Governance Team who will play a critical role in maturing and scaling Accordion's enterprise-wide AI Governance risk and operations program. In this role, you will serve as an internal governance practitioner and cross-functional advisor, embedding AI governance policies, procedures, and controls across our operating model for internal AI solutions — with the expectation that this scope will evolve to include client-facing engagements over time. Drawing on your experience with AI policy, frameworks, and risk program design, you will translate complex governance requirements into actionable, scalable implementation systems. This position requires seamlessly bridging the gap between cutting-edge AI development and responsible governance, partnering with senior stakeholders across Practices, Technology, Legal, and Emerging Technology to enabling trusted use and development of AI.  

This position can be based in our New York City or Chicago offices and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location. 

This position is not eligible for immigration sponsorship. 

What You’ll Do 

Governance & Frameworks 

• Enhance the enterprise AI Risk Management Framework, including AI use case and supply chain inventory management, use case risk classification taxonomies, and risk-tiering mechanisms aligned to internal standards and emerging regulatory expectations 
• Design and operationalize scalable, end-to-end governance processes across the AI lifecycle  
• Build and maintain AI governance playbooks, risk appetite frameworks, and responsible AI standards  
• Identify opportunities to strengthen controls and oversight through process automation, tooling improvements, and governance workflow optimization 

Cross-Functional Collaboration 

• Partner with Legal, Technology, and Consulting Practice Groups to embed explainability, bias mitigation, and ethical AI principles directly into use case development and delivery workflows 
• Manage the firm's AI Governance obligations and processes end-to-end, including supporting AI and related vendor management supply chain   
• Coordinate with Legal teams to ensure AI systems meet applicable jurisdictional and regulatory requirements, including proactive engagement on evolving global AI legislation 
• Facilitate stakeholder working groups, cross-functional governance forums, and executive communications on AI risk priorities, testing outcomes, and documentation requirements 
• Maintain the internal AI risk register and escalate issues through appropriate governance channels 
• Liaise with Technology and Practices to ensure data lineage and quality standards are met for AI solutions 

Monitoring & Oversight 

• Establish, track, and report on key risk indicators (KRIs) for AI systems in partnership with the Responsible AI Data Scientist and AI Governance Lead, across internal and client-facing AI solutions and products 
• Monitor alignment with global AI regulatory frameworks (e.g., EU AI Act, NIST AI RMF) and support responses to regulatory inquiries, audits, or reviews 
• Evaluate risks associated with third-party and vendor AI solutions across the full sourcing lifecycle — including procurement, onboarding, integration, and ongoing performance oversight — and identify operational guardrails and controls 
• Assess design and operating effectiveness of AI controls against internal policy and external standards, especially for AI, privacy, and industry regulations, under Legal's guidance 
• Produce high-quality audit findings reports with clear recommendations for remediation and monitor implementation of agreed action plans 
• Stay current on AI regulation, industry standards, and emerging best practices 

Internal Enablement (Evolving) 

• Support the development of AI Governance updates, training/awareness programs, and culture-building initiatives to embed responsible AI practices across the organization 
• Contribute to Accordion's Trustworthy AI methodology and internal IP development 
• Over time, support client-facing AI governance assessments, risk remediation roadmaps, and responsible AI frameworks as the program matures and scope expands  

You Have 

• Bachelors degree in Finance, Business Administration, or related field  
• 7+ years’ experience in Risk Operations, Privacy Programs, or PMO/IMO, with at least 3 years directly focused on AI governance or oversight - preferably within professional services, consulting, or PE-backed environments. 
• Demonstrated experience leading complex, multi-jurisdictional integrations and/or global expansion programs, with a track record of building and running structured governance. 
• Strong knowledge of AI and privacy regulations and standards — including EU AI Act, NIST AI RMF, GDPR, CCPA, and ISO 42001 — and the ability to translate regulatory mandates into operational controls 
• Strong grasp of AI/ML technical risks (e.g., bias, model drift, robustness) and associated controls 
• Strong familiarity with regulatory and operational considerations relevant to cross-border professional services (e.g., data/privacy, employment, tax, licensing), and the ability to operationalize them into business processes. 
• Exceptional communication skills with the ability to convey complex technical and regulatory considerations to non-technical stakeholders, including leadership and cross-functional teams 
• Comfortable operating in a high-growth, entrepreneurial environment, with a bias toward structure, scalability, and execution discipline. 
• Strong analytical and problem-solving skills  
• AI usage and familiarity required 
• Excellent attention to detail and organizational skills   
• Ability to adapt to changing priorities and work effectively in a dynamic environment   

Preferred Qualifications 

• Experience in Data Risk Management or direct collaboration with AI/ML development teams 
• Familiarity with AI risk management platforms or tools for model monitoring, documentation, and compliance reporting 
• Experience designing training, awareness, or enablement programs focused on AI risk, model governance, or responsible AI practices 
• Certifications in risk, privacy, or compliance (e.g., CIPP, CIPM, CRISC, CRCM) 
• Passion for AI and a desire to build a world-class risk management function  

You Are 

• Energized by building and scaling governance programs that make AI deployment safer, more trustworthy, and more compliant — across a dynamic, fast-moving consulting environment 
• A cross-functional collaborator who navigates matrixed organizational dynamics, working seamlessly with Legal/Risk/Compliance, Technology/Engineering, and business teams — and can drive decision making and ownership across diverse stakeholders 
• A clear communicator who can translate AI governance concepts, regulatory requirements, and risk findings into actionable guidance for business, technical, and executive audiences 
• A proactive problem-solver who thrives on staying ahead of AI governance expectations and emerging regulations, and can turn frameworks into operational reality 
• An adaptive contributor who embraces the breadth and pace of consulting, working across diverse sectors and practice areas 

The annual salary for this role ranges from: $130,500 to $145,000 + benefits. This role is also eligible for bonuses, based on individual and company performance. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to, geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.  

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law. 

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. 

#LI-HA1

The Senior Solutions Engineer Opportunity

Reporting to the Senior Manager of Solutions Engineers, the Sr Solutions Engineer (Corporate New Business) is a functional business consultant,  with a passion for technology and the advanced ability to develop, position and demonstrate product-specific solutions during sales cycles, while achieving quarterly and annual sales goals for an assigned territory. A background in software development and experience with developer-centric identity platforms (such as Auth0) can be particularly impactful, enabling you to deeply understand and articulate the value of Auth0 by Okta from a technical implementer's perspective.

What you’ll be doing 

• Work alongside the Corporate/New Business (employee size 300-1249) sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues especially those faced by development and product teams - and provide product demonstrations to align our solutions with customer needs.
• Answer product features and technical questions from customers, partners and Okta colleagues.
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed. This will include scripting and coding to showcase Auth0’s capabilities.
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value.
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team.
• Stay current on competitive analysis and market differentiation.
• Support marketing events including executive briefings, conferences, user groups, and trade shows.
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge.

What you’ll bring to the role

• 8+ years pre-sales engineering experience.
• A passion to serve the Customer, demonstrated in a customer-facing role, such as consulting or support, but ideally in a pre-sales capacity.
• An ability to quickly communicate complex ideas around a technical topic, ideally on the fly, using a whiteboard.
• Deployed apps in cloud platforms: AWS, Azure, GCP, Vercel, etc.
• Experience with at least one standard network security protocol. (eg. OAuth, OAuth2, SAML, LDAP)
• Experience working with REST APIs, API Gateways, and SDKs
• Hands-on experience in one or more of the following areas: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications.
• Leverage your software development background to effectively communicate with technical audiences, including developers, architects, and DevOps engineers, translating their requirements into robust solutions.
• An understanding of core security concerns within a typical application. (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Exceptional communicator.
• Confident dispensing knowledge to a highly skilled and experienced audience, presenting to large rooms filled with experts in the field
• Territory management skills, including pipeline building and working with Sales counterparts to guide execution excellence.
• Typically 25% travel.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

You might also have (not mandatory):

• Hands-on experience with Generative AI or LLM technology such as LangChain, GenKit, LlamaIndex, etc.
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine Grain Authorization models.
• Diagramming experience for user journey flows, complex architecture diagrams, etc.

Preferred Experience (bonus points):

• Trusted Advisor in your sales region (Area Sales Director and Area Vice President)
• Experience leading highly strategic technical sales plays, targeting new account acquisitions, or transferrable experiences preferred.
• Creation of reusable artifacts to be adopted by the presales and/or sales community.
• Publication of thought leadership documentation externally annually.
• Technical leader among peers and a mentor to help grow others in the segment.

LI#Remote

LI#CM

P7161_3396398

Senior Solution Sales Engineer - 

Position Description: 

We believe Solutions Engineers at Okta are involved in all stages of the customer’s development lifecycle and are experienced using presentations, email, phone and social media to connect with customers. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology.  We believe in Okta’s Solutions Engineers empathize with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilize both. As a Senior Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of Fortune 500 customers on what is possible using Okta’s Identity Platform. 

Job Duties and Responsibilities:

• Collaborate with account executives to develop and execute territory and account strategies to maximize the Okta opportunity in those accounts
• Conduct research and discovery to understand customer requirements and communicate the business value of solving technology problems using cloud technology
• Execute the delivery of POCs for customers with complex use cases, collaborating with other Okta engineering teams as needed
• Craft technical content to show customers how to implement specific use cases or standard methodologies for new technologies
• Prepare and deliver demos to showcase how the Okta platform meets customer’s business needs and use cases.  
• Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing and Sales

Required Skills:

• 5+ years pre-sales engineering experience
• A passion to serve the customer, which has played out in some customer-facing role like consulting or support, ideally solutions engineering
• An ability to quickly and effectively communicate complex technical concepts via presentation, slides and whiteboard 
• A Strong Understanding of Identity & Access Management (IAM)
• SSO, MFA, SCIM, OAuth 2.0, OIDC, SAML, and LDAP.
• Lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• A strong understanding of Zero Trust Architecture and core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)
• Hands-on experience in one or more of the following areas is a plus: web (JavaScript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• Experience with cloud platforms: AWS, Azure, GCP.
• You are an elite communicator
• Can identify, map, and manage multiple personas: IT admins, CISOs, architects, procurement, and legal.
• Confident dispensing knowledge to a highly skilled and experienced audience
• Typically 10-25% travel
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

 This role requires in-person onboarding and travel to an office in the U.S. during the first week of employment.

#LI-hybrid

#LI-LSS1

P13951_3337053

Position Description:

The Services PreSales Architect is a technical authority on both cloud and on-premises based IAM systems and is responsible for ensuring the successful design and implementation of Okta’s & Auth0’s industry leading cloud identity platform for our customers. Your main focus will be on driving the success of Okta's and Auth0's identity offerings. You will cultivate strong, trusted partnerships with customers, concentrating on their success and helping them achieve their business goals by promoting innovative and creative solutions. A key part of your role is to translate customer business needs and insights into a clear, actionable strategy that the delivery team can execute to help customers achieve tangible results and high business value from their initiatives. This is a key member of the Professional Services (PS) Pre-Sales team.

Job Duties and Responsibilities:

• Lead the pre-sales discovery of functional and technical requirements required to establish an Identity platform for our customers. 
• Lead Partners, Customers and Engagement Managers to document and mitigate technical risk identified during discovery.
• Create estimates to implement the proposed solution.
• Review services estimates to ensure project scope can be successfully delivered as outlined - technical risk is appropriately mitigated and timelines follow staffing guidelines.
• Lead and develop co-delivery proposals by identifying and engaging appropriate partners.
• Drive New Product Introduction (NPI) across PS by training Engagement Managers and developing associated assets such as scope modules, SKUs, success stories and enablement toolkits.

Minimum REQUIRED Knowledge, Skills, and Abilities:

• 10+ years of overall IT / software development experience, solution design and technical architecture experience
• 5+ years of Okta implementation experience
• 5+ years of consulting experience
• 5+ years driving application architecture design
• 5+ years of experience with (IAM) architectures
• Experience with employee and customer identity use cases: HR driven identity, Active Directory, SSO, SaaS application integrations.
• Experience with Identity Governance and Privileged Access Management use cases. 
• Demonstrated ability to work and interact with high-level customer executives and technical resources.
• Experience in leading discovery workshops to derive customer requirements and specifications.
• Experience in developing functional specifications and system design specifications for customer engagements.
• Strong knowledge of Security Architecture, Design and Operations, LDAP, Active Directory, SSO, SAML, OIDC, RBAC, OAuth, JSON, REST.
• Experience integrating with a multitude of On-Prem and SaaS based products.
• Exhibits confidence and a deep understanding of emerging industry practices when solving business problems.
• Identifies critical issues with ease.
• Effectively communicates technical information to non-technical audiences.
• Manages customer expectations effectively.
• Application design experience.
• Clear and Dynamic Communication.
• Ability to travel up to 50%

Highly Desirable Knowledge, Skills, and Abilities:

• Knowledge of software development security and cryptography.
• Familiarity with IAM solution providers.
• Experience with API Gateways, CASB, and Reverse Proxies (NGINX)
• Proficiency with various open-source software and development tools
• Proficiency in one or more of the following: .Net, Ruby, Java, Python or Perl

Education and Certification

• A Bachelor’s degree (or equivalent) in Computer Science, Information Technology or related discipline required.
• Okta Certified Technical Architect or a combination of Okta Certified Consultant and Okta Certified Developer is a plus.
• CISSP certification is a plus.
• TOGAF certification is a plus.

#LI-BF1

#LI-Hybrid

P10902_3357735

The Okta Key Accounts Solutions Engineering Team

The Okta Solutions Engineering team has the rare combination of technical savviness and business insight. We advise Okta's largest, most strategic customers on how to provide secure digital experiences to their employees, partners, and customers. As a team, we empathize with our customers to discern their true technical needs, ask detailed and clarifying questions, and present solutions that drive significant business outcomes. 

The Director, Solution Engineering - Key Accounts Opportunity

Reporting into the Senior Director, AMER Presales Strategic and Key Accounts, this role will lead the Solutions Engineering team focused on Okta’s most strategic and highest-potential customers. As a leader, you will be adept at seeing ahead to future possibilities and translating them into breakthrough strategies. You will be results-focused, partnering closely with our Key Account sales leadership and the cross functional team to create and execute a plan of action to achieve our ambitious growth targets.

You will also be a key leader in driving a standardized set of repeatable SE processes and artifacts designed to increase our technical win rate and drive multi-million dollar wins.

What you’ll be doing 

• Build and Lead a World-Class Team: You will be leading a team of five Principal+ Solutions Engineers with an expectation that the Key Accounts segment will grow to include a leadership team reporting to you. You will drive the full hiring process—from sourcing to closing—to attract top talent, and foster their professional growth through hands-on development plans. 
• Drive Strategic Engagements: Champion a structured approach to strategic presales engagements, ensuring the consistent use of technical strategies, roadmaps, and playbooks to win large, complex deals.
• Drive Operational Excellence: Drive operational rigor across the Key Accounts SE organization. Establish and track KPIs to measure team success, and continuously refine processes and engagement models to optimize efficiency and impact.
• Serve as an Executive Sponsor: Actively work on strategic deals, providing executive sponsorship and proposing innovative strategies to ensure the success of opportunities. Build deep relationships with senior technical and executive decision-makers (CIOs/CISOs) at our customers, and act as a crucial feedback loop to Okta's Product and Engineering teams.
• Build Strategic Alliances: Partner closely with Sales Leadership to operationalize enterprise sales methodologies (e.g., MEDDPICC, Command of the Message). Aligning with  Operations, Enablement, HR, and Finance to operationalize the strategy including workforce planning, skills development, and budget alignment, ensuring the team is resourced for success.

What you’ll bring to the role

• Demonstrated success in a leadership capacity within a presales organization, selling to Fortune 50 companies.
• Experience building and leading geographically distributed teams of managers and a proven ability to develop talent to meet both their career goals and the organization’s goals.
• Proven experience building and scaling repeatable, strategic engagement models in a presales environment.
• Experience with and a proponent of Value and Business Outcome-based selling methodologies, including MEDDPICC and Command of the Message framework.
• Exceptional communication skills with the proven ability to influence C-level executives and navigate highly matrixed organizational structures.
• A strong vision for Okta’s market opportunity and how our customers can leverage Okta solutions to drive business outcomes.
• 7+ years of presales leadership experience.

And extra credit if you have experience in any of the following! 

• Bachelor of Science in Engineering, Science, or Mathematics, or equivalent experience.
• Deep expertise in the security product market, including competitive offerings and industry trends.

#LI-Remote

#LI-CM

P24456_3341777

The Okta SLED Accounts Solutions Engineering Team

Okta Solutions Engineering team members have the rare combination of technical savviness and business insight and will hone each of these skills through advising a diverse set of customers on what is possible using Okta’s Identity Platform. We believe that Okta’s Solutions Engineers must empathize with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. 

The Okta Solution Engineering Manager Opportunity

Reporting to the Director of Solutions Engineering for Public Sector Accounts, this role will lead a team of Solution Engineers, working with Okta’s State, Local, and Higher Education (SLED) accounts in the Central and Western US. Our Solutions Engineering leaders are adept at seeing ahead to future possibilities and translating them into breakthrough strategies. They are particularly results focused and partner closely with our Sales leadership to create and execute a plan of action to achieve our growth targets. 

What you’ll be doing 

• Solution Engineering leaders prioritize the success of their team. You are responsible for working with your team on their professional growth through defined development plans and experiences.
• You own and report on the business impact of your team as they work with prospects who are evaluating the Okta identity platform.  Team activities include demonstrations, technical deep dives, trials and proof-of-value evaluations. 
• You will actively work on deals, proposing strategies to help insure the success of opportunities.  This includes frequently participating in on-site deal support.
• You will always promote the sense of “team within a team” by collaborating with the greater presales teams and business units at Okta.
• Always recruiting!  You will attract, recruit, ramp, and mentor a team of great Solutions Engineers from diverse backgrounds and experiences.  

What you’ll bring to the role

• Demonstrated success selling to US Public Sector (SLED preferred, or FED) Agencies. Ability to influence technical decision makers and executives, and service as an executive sponsor. Experience with and proponent of MEDDPICC and Value/Outcome based selling methodologies.
• A vision for Okta’s opportunity in the market and how our customers will leverage Okta solutions to drive business outcomes.
• 12+ years presales experience with supervisory responsibilities or similar
• Bachelors of Science in engineering, science or mathematics or equivalent experience

And extra credit if you have experience in any of the following! 

• Expertise in security product market trends and directional awareness of Okta’s roadmap and technology development efforts. Knowledge around the Okta platform and competitor product offerings.
• Competency with security concepts and solutions; knowledge of customer enterprise security security software (firewalls, proxies, VPN, CASB, databases and applications) preferred. 

P24807_3379294)

The Role 

You will play a critical role in the qualification, implementation and reliability of our satellite’s avionics hardware in the most intense radiation environments of space. You will own the rapid development of component, board and subsystem level radiation test setups that you will execute at national labs across the country, while growing the team’s capabilities through test rack and automation development to keep up with our growing business needs. Through detailed analysis and reporting of your test results, you will inform hardware designers and mission planners of how to confidently operate our satellites to meet our Commercial, National Security and science customer’s needs. As an essential part of the engineering team, you will demonstrate excellent test engineering fundamentals and a high level of attention to detail to ensure our hardware and test capabilities are second to none. Prior experience in radiation effects testing is preferred but not required; strong electrical lab skills and a willingness to learn are essential.  

Responsibilities 

• Lead cradle-to-grave radiation test campaigns (SEE, TID, DDD and materials) through coordinating test facilities/dates, designing electrical test setups, writing test procedures, executing tests, and documenting results 
• Design, fabricate, and assemble production quality test racks, basic PCBAs, and cable harnesses 
• Troubleshoot, repair, and modify electronic components, assemblies, parts, and systems 
• Perform tests and checkouts using standard lab equipment such as programmable power supplies, ohmmeters, oscilloscopes, DMM, SMU, logic analyzers and DAQs.  
• Develop basic test automation, data collection and analysis scripts in Python 
• Own the scheduling and prioritization of component, board and subsystem radiation testing to support the hardware and vehicle lifecycle 
• Flash firmware and perform software load verifications under the direction of engineering team members 
• Build fixtures and tooling using an array of hand, power, and pneumatic mechanical tools 

Qualifications 

• 5+ years of experience assembling, integrating, and testing electrical components, assemblies and/or hardware in the aerospace industry 
• Ability to set up and run common electrical measurements (voltage, current, timing, digital I/O) 
• Experience with test equipment such as oscilloscopes, power supplies, SMUs, function generators, or logic analyzers 
• Demonstrated experience programming with Python to automated tests and analyses 
• Demonstrated ability in soldering and crimping as well as assembling cable harnesses and connectors 
• Comfortable reading schematics, datasheets, and test procedures 
• Strong troubleshooting skills and attention to detail 
• Demonstrated ability to document work clearly and follow structured test processes 

Nice to Have 

• 1+ years of experience in the radiation effects testing (TID, SEE, proton, heavy ion, gamma, neutron, etc.) 
• Interest in learning radiation physics and its effects on satellite operations 
• Familiarity of radiation effects on semiconductor devices, including how to mitigate common failure modes 
• Familiarity with designing circuits and setups around common components such as transistors, regulators, digital/analog components and RF devices 
• Familiarity with FPGA or microcontroller-based test systems 
• Experience designing, building, and testing electrical assemblies, fixtures and test racks 
• Experience designing PCBs using common EDA tools (e.g., Altium, KiCad, OrCAD) 
• Ability to create, read, review, and redline electrical and test rack schematics 
• Experience developing modular, reusable test automation software and drivers in Linux, C++, Rust, Visual Studio, etc. 
• Strong communication skills with ability to communicate hardware and systems problems and solutions 
• Experience performing crimping, wire stripping, continuity testing, connector pin outs, and routing and tie wrapping 
• IPC Certified for PCB and cable harness rework (IPC J-STD-001, IPC-A-610, IPC-A-620) 

Additional Requirements 

• Must be able to perform repetitive tasks such as bending or twisting, grasping, standing, lifting, pulling, pushing, stooping, stretching, carrying, and use hands to operate tools or machine controls
• Must be able to lift and carry parts or equipment up to 50 lbs. unassisted
• Must be able to stand for extended periods of time
• Must be able to work extended hours and/or weekends as needed
• Must be available to travel up to 25% of the year to support radiation tests 
• Valid Driver's license 

Compensation and Benefits: 

• Hourly pay range for this non-exempt role is $30 - $48 + equity in the company 
• Compensation will be based on several factors including, but not limited to: knowledge and skills, education, and experience level 
• Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks 

The Role

The software team at K2 strives to blur the lines between the various types of software development and encourages team members to get into parts of the stack they may not otherwise have experience with. This spectrum includes GNC algorithms (Rust, C++), application software on flight computers (Rust, C++), to embedded software on microcrontrollers (Rust, C++),to operating systems (Rust, C++, C), to HDL programming (VHDL, SystemVerilog), to test systems (Python), and many things inbetween. By doing this, we create a stronger team with more capable engineers. For now, this does not include front-end, artificial intelligence, or machine learning development.

As a part of the team, you will be responsible for the development and verification of the software used to fly some of the largest spacecraft that have ever been flown. You will be able to write mission-critical code that controls propulsion systems, attitude control systems, and power systems to ensure safe and reliable operation of the vehicle. In your first 6 months you will developcore pieces of the software architecture including the strategies for fault tolerance, real-time control, and telemetry downlink. In your first year you will implement larger software systems  and begin verifying your code using both software and hardware in the loop simulators. In your first two years you will operate your code on multiple spacecraft, demonstrating robust performance in demanding missions.

Responsibilities

• Create software architecture for real-time, fault tolerant control of a 20kW+ spacecraft
• Develop software applications for control of spacecraft subsystems, including propulsion, guidance/attitude control, thermal, power, and communications systems
• Design and implement state machines for robust operation of the spacecraft
• Create and utilize robust tools to allow for rapid deployment of quality code
• Perform data analysis and anomaly investigation to identify and resolve software bugs
• Support integration and testing of the spacecraft subsystems
• Build and maintain infrastructure to increase reliability when developing and testing software 

Qualifications

• Bachelor's degree in computer science, computer engineering, electrical engineering, math, or a STEM discipline or 10+ years of professional experience in software engineering 
• Development experience in Rust, C/C++, Python, VHDL, SystemVerilog

Nice to Have

• Experience with spacecraft flight software development
• Fluency with Linux systems programming and driver development
• Experience with continuous integration and continuous delivery systems
• Experience building or working with hard real-time embedded systems (bare-metal or RTOS)
• Basic knowledge of electronics, computer architecture, and control systems
• Experience developing or working with state machines
• Experience with software verification and testing methods
• Experience with software and network performance analysis and debugging
• Experience with implementing Extended Kalman Filters for inertial sensors
• Experience with fault tolerant software design and implementation
• Experience defining and creating test systems for both hardware-in-the-loop and hardware-out-of-the-loop

Compensation and Benefits:

• Base salary range for this role is $200,000 - $240,000 + equity in the company
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level
• Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks

The Role 

Our enterprise software team builds the digital backbone that powers K2 Space’s satellite design, manufacturing, and mission operations. We develop tools that connect engineering, production, and mission control into a seamless ecosystem — enabling our hardware to get from concept to orbit faster than ever before. 

As we continue to grow, we’re looking for a Cloud Engineer who shares our vision: someone who doesn’t just maintain cloud infrastructure — but thinks deeply about scalability, security, reliability, and how cloud systems power space-grade engineering and operations. 

Responsibilities 

• Design, build, deploy, and maintain cloud infrastructure supporting mission-critical workloads (IaaS, PaaS, SaaS, FaaS) across production, staging, and development environments. 
• Define and implement infrastructure-as-code (IaC) automation (Terraform, ARM/Bicep, etc.), CI/CD pipelines, configuration management, and other automation tooling to enable rapid, reproducible, and secure deployments. 
• Collaborate with software, mission-ops, and DevOps teams to integrate cloud architecture into our development lifecycle (DevSecOps — from build to launch). 
• Establish and manage identity and access management (IAM), role-based access, encryption, network security, secrets management, and compliance controls. 
• Monitor and maintain the health, performance, and cost-effectiveness of cloud services; implement logging, monitoring, alerting, and capacity planning. 
• Perform security assessments, threat modeling, vulnerability scans, compliance audits; develop mitigation strategies and drive best practices. 
• Create clear documentation of architectures, relevant procedures, security policies, and infrastructure diagrams — and communicate across teams and stakeholders. 
• Stay on top of cloud security threats, emerging technologies, and compliance requirements — and champion proactive improvements in our cloud posture. 

Basic Qualifications 

• Bachelor’s degree in Computer Science, Information Technology, or related field — or equivalent practical experience. 
• 5+ years (senior-level) hands-on experience managing cloud infrastructure (AWS, Azure, GCP or similar), preferably across multiple cloud platforms. 
• Strong proficiency with IaC tools (Terraform, ARM/Bicep, CloudFormation, etc.), CI/CD, configuration management, and scripting (e.g. Python, Bash, PowerShell). 
• Solid understanding of cloud-native services (VMs, containers/Kubernetes, serverless, databases, networking, storage) and ability to design scalable, resilient architectures. 
• Experience with container orchestration systems (Kubernetes, Docker) and modern deployment workflows. 
• Deep knowledge of security best practices: IAM, encryption, network security (firewalls, VNets), secrets management, monitoring, logging, and compliance frameworks. 
• Familiarity with (or willingness to learn) compliance regimes relevant to defense/space sector (e.g., FedRAMP, CMMC, ITAR, government-cloud environments) — especially if working on sensitive or government-facing projects. 
• Excellent problem-solving skills, strong communication (verbal + writing), ability to work in cross-functional teams, and comfort working in a fast-paced, mission-driven startup environment. 

Preferred Qualifications 

• Advanced cloud certifications (e.g. AWS Solutions Architect/DevOps, Azure Administrator/DevOps/Security, Kubernetes certifications) 
• Experience with hybrid clouds / Gov-cloud environments / regulated-space-industry compliance 
• Prior experience supporting aerospace, defense, or highly regulated workloads 
• Familiarity with GitOps workflows, MLOps pipelines, container-security tooling, secrets vaults (e.g. HashiCorp Vault), log aggregators / monitoring systems (e.g. ELK, Splunk), and automated incident response / forensics pipelines. 

Compensation and Benefits: 

• Base salary range for this role is $165,000 - $215,000 + equity in the company 
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level 
• Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks 

The Role

The software team at K2 strives to blur the lines between the various types of software development and encourages team members to get into parts of the stack they may not otherwise have experience with. This spectrum includes HDL programming (VHDL, SystemVerilog), embedded software on microcontrollers (Rust, C++), operating systems (Rust, C++, C), application software on flight computers (Rust, C++), GNC algorithms (Rust, C++),  to test systems (Python), and many things inbetween. By doing this, we create a stronger team with more capable engineers. For now, this does not include front-end, artificial intelligence, or machine learning development.

As a part of the team, you will be responsible for the development and verification of FPGA firmware used to fly some of the largest spacecraft that have ever been flown. You will be able to write mission-critical code that controls propulsion systems, attitude control systems, RF systems, and power systems to ensure safe and reliable operation of the vehicle. In your first 6 months you will work with your team to develop core pieces of the FPGA architecture such as the strategies for fault tolerance, real-time control, high-speed data routing, and telemetry downlink. In your first year you will implement larger and more complex FPGA systems and begin verifying your code using both software and hardware in the loop simulators. In your first two years you will operate your code on multiple spacecraft, demonstrating robust performance in demanding missions. 

Responsibilities

• Own the architecture and implementation of critical programmable logic systems across the spacecraft that support vehicle networking, RF systems, and real-time control of all spacecraft subsystems
• Implement these architectures in RTL using VHDL and SystemVerilog
• Verify and validate FPGA designs using a mix of simulation, bench-testing, and Hardware In The Loop testbeds
• Support integration, test, and troubleshooting efforts for FPGA designs across all levels of the spacecraft development and manufacturing
• Develop the tools and infrastructure to support rapid, high-reliability FPGA solutions across all subsystems

Qualifications

• Bachelor's degree in computer science, computer engineering, electrical engineering, math, or a STEM discipline or 3+ years of professional experience in software development
• 3+ years working with complex FPGA designs spanning digital, mixed signal, or RF applications
• Development experience with VHDL or SystemVerilog

Nice to Have

• Experience integrating logic onto Xilinx SoC platforms
• Experience with digital signal processing (DSP) fundamentals and implementing complex DSP logic and software defined radios on FPGAs
• Experience implementing high-speed SERDES interfaces such as Ethernet, PCIe, and JESD204C.
• Experience with standard bus and streaming protocols such as AXI and AXI-Stream
• Experience with evaluating and integrating vendor/third party IP
• Experience with common scripting languages such as Python, TCL, and Bash
• Experience with Linux systems programming and driver development
• Experience with continuous integration and continuous delivery systems
• Experience building or working with hard real-time embedded systems (bare-metal or RTOS)
• Basic knowledge of electronics, computer architecture, and control systems
• Experience with software verification and testing methods
• Experience with software and network performance analysis and debugging

Compensation and Benefits:

• Base salary range for this role is $120,000 – $225,000 + equity in the company
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level
• Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks

The Role

The software team at K2 strives to blur the lines between the various types of software development and encourages team members to get into parts of the stack they may not otherwise have experience with. This spectrum includes GNC algorithms (Rust, C++), application software on flight computers (Rust, C++), to embedded software on microcrontrollers (Rust, C++),to operating systems (Rust, C++, C), to HDL programming (VHDL, SystemVerilog), to test systems (Python), and many things inbetween. By doing this, we create a stronger team with more capable engineers. For now, this does not include front-end, artificial intelligence, or machine learning development.

As a part of the team, you will be responsible for the development and verification of the software used to fly some of the largest spacecraft that have ever been flown. You will be able to write mission-critical code that controls propulsion systems, attitude control systems, and power systems to ensure safe and reliable operation of the vehicle. In your first 6 months you will developcore pieces of the software architecture including the strategies for fault tolerance, real-time control, and telemetry downlink. In your first year you will implement larger software systems  and begin verifying your code using both software and hardware in the loop simulators. In your first two years you will operate your code on multiple spacecraft, demonstrating robust performance in demanding missions.

Responsibilities

• Create software architecture for real-time, fault tolerant control of a 20kW+ spacecraft
• Develop software applications for control of spacecraft subsystems, including propulsion, guidance/attitude control, thermal, power, and communications systems
• Design and implement state machines for robust operation of the spacecraft
• Create and utilize robust tools to allow for rapid deployment of quality code
• Perform data analysis and anomaly investigation to identify and resolve software bugs
• Support integration and testing of the spacecraft subsystems
• Build and maintain infrastructure to increase reliability when developing and testing software 

Qualifications

• Bachelor's degree in computer science, computer engineering, electrical engineering, math, or a STEM discipline or 5+ years of professional experience in software engineering 
• Development experience in Rust, C/C++, Python, VHDL, SystemVerilog

Nice to Have

• Experience with spacecraft flight software development
• Fluency with Linux systems programming and driver development
• Experience with continuous integration and continuous delivery systems
• Experience building or working with hard real-time embedded systems (bare-metal or RTOS)
• Basic knowledge of electronics, computer architecture, and control systems
• Experience developing or working with state machines
• Experience with software verification and testing methods
• Experience with software and network performance analysis and debugging
• Experience with implementing Extended Kalman Filters for inertial sensors
• Experience with fault tolerant software design and implementation
• Experience defining and creating test systems for both hardware-in-the-loop and hardware-out-of-the-loop

Compensation and Benefits:

• Base salary range for this role is $160,000 - $200,000 + equity in the company
• Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level
• Comprehensive benefits package including paid time off, medical/dental/vision/ coverage, life insurance, paid parental leave, and many other perks

Please note: This position requires you to live within California, and ideally within the Los Angeles, CA area. This role will also require up to 50% travel. 

Role Scope: 

We are seeking a strategic, product-minded leader to shape and deliver Habitat Health’s platform strategy—a role that connects vision to execution across technology, data, and business operations. The Director of Platform Strategy will define, pilot, and scale technology capabilities with an initial focus on automation, AI enablement, and digital experiences. This leader will partner across functions to identify opportunities for differentiation, evaluate potential solutions and vendors, oversee pilot design and execution, and integrate successful innovations into the core platform. You will serve as a connector between business, data, and technology teams, ensuring alignment between Habitat’s “tech-enabled” vision and the day-to-day needs of care teams and participants. The role blends strategic thinking, program delivery, and strong relationship management with both internal and external partners. 

• Lead the end-to-end automation and AI pilot lifecycle, from opportunity identification to final evaluation and recommendation for scale, integration, or sunset. 

• Proactively engaging for environmental scans to ensure awareness and identification of new innovations and solutions that could be value creating for our platform 

• Develop and maintain a structured framework for partner selection, pilot implementation, and performance evaluation. 

• Lead requirements definition in partnership with business SMEs, ensuring clear objectives, metrics, and scope. 

• Research and evaluate all relevant potential tools and solutions, maintaining a living view of the external vendor landscape. 

• Lead implementation in collaboration with Platform, Operations, Clinical, and enterprise teams; oversee vendor deliverables, training, and adoption. 

• Conduct ongoing evaluation of pilots using defined KPIs (e.g. adoption, impact / value, satisfaction, compliance). 

• Deliver and implement final recommendation for each pilot (e.g. integrate into the core stack, continue as a standalone tool, or sunset with alternatives identified). 

• Collaborate with internal business owners to map and prioritize processes that can be improved or automated by technology, focusing on areas that advance clinical excellence, participant experience, and operational efficiency. 

• Translate insights from pilots into scalable platform capabilities, coordinating with operations and clinical partners, strategic tool and data teams to ensure alignment across Habitat’s enterprise architecture. 

• Drive cross-functional governance and communication, ensuring clear objectives, roles, timelines, and success metrics. 

• Build and nurture strategic vendor relationships that complement Habitat’s ecosystem and long-term growth plan. 

• Partner with Finance and Compliance to evaluate investment cases, risk, and regulatory considerations. 

• Serve as an internal champion for Habitat’s “tech-enabled” transformation, promoting data-driven decision-making and digital adoption across the organization. 

Qualifications:  

• Aligns with our purpose and our values and is excited about living those out in daily practice.  

• Excellent communicator with ability to lead with influence across PACE Center Leadership, Office of CMO, Population Health, Practice Operations, Finance, Strategy, Growth, and Health Plan Operations.  

• Working knowledge of AI, ML, and automation technologies, and their practical applications in healthcare operations. 

• Strategic, analytical, and systems-oriented thinker with the ability to structure complex decisions. 

• 5+ years of experience in product and / or technology strategy, platform enablement, or innovation within healthcare, health tech, or regulated industries. 

• 7+ years of hands-on experience working with strategic process improvement and technology enablement at various levels. 

• Understanding of various technology stacks, and significant experience in value-based care focused on ecosystems that include administrative health plan tools,  EHR/EMR, and CRM. 

• Strong understanding and hands-on experience with AI, automation, or digital transformation initiatives from concept through implementation and scaling. 

• Energized by ambiguity & a self-starter: loves to drive the direction of ambiguous projects. 

Nice to have: 

• Master’s degree in Data Science, Statistics, Healthcare Administration, or a related field required. 

• Experience in PACE, value-based care, or managed care organizations. 

• Advanced degree in Business, Innovation, or a related field. 

Compensation:  

We take into account an individual’s qualifications, skillset, and experience in determining final salary. This role is eligible for medical/dental/vision insurance, paid parental leave (birthing and non-birthing parents), short and long-term disability, life insurance, flexible spending accounts, 401(k) savings, paid time off, and company-paid holidays. The expected salary range for this position is $195,000 - $222,000 and is a bonus-eligible position. Please note, the higher end of this range is reflected individuals located in CA and San Francisco. The actual offer will be at the company’s sole discretion and determined by relevant business considerations, including the final candidate’s qualifications, years of experience, skillset, and geographic location. 

Vaccination Policy, including COVID-19 

At Habitat Health, we aim to provide safe and high-quality care to our participants. To achieve this, please note that we have vaccination policies to keep both our team members and participants safe. For covid and flu, we require either proof of vaccination or declination form and required masking while in participant locations as a safe as an essential requirement of this role.  Requests for reasonable accommodations due to an applicant’s disability or sincerely held religious beliefs will be considered and may be granted based upon review. We also require that team members adhere to all infection control, PPE standards and vaccination requirements related to specific roles and locations as a condition of employment. 

Our Commitment to Diversity, Equity, and Inclusion: 

Habitat Health is an Equal Opportunity employer and is committed to creating a diverse and inclusive workplace. Habitat Health applicants are considered solely based on their qualifications, without regard to race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), gender identity, gender expression, sexual orientation, marital status, military or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member), or other status protected by applicable law. 

Habitat Health is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Habitat Health will take steps to provide people with disabilities and sincerely held religious beliefs with reasonable accommodations in accordance with applicable law.  Accordingly, if you require a reasonable accommodation to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact us at careers@habitathealth.com. 

Beware of Scams and Fraud 

Please ensure your application is being submitted through a Habitat Health sponsored site only. Our emails will come from @habitathealth.com email addresses. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission by selecting the ‘Rip-offs and Imposter Scams’ option: https://reportfraud.ftc.gov/#/. 

About Carvana

“We believe CVNA is in the early stages of becoming the next U.S. retail category killer.” 

– Stephens Investment Bank, Analyst Report, Sept. 2024

“Growing a capital and labor intensive, industrial type asset at a 40% clip is unchartered territory…”

– JP Morgan Chase, Analyst Report, Jan 2026

Building leading-edge technology has been at the core of Carvana's strategy since our founding, driving us to become the 3rd fastest company in history to organically reach the Fortune 500, following only Amazon and Google. Today, we remain founder-led and as ambitious as ever. In 2024, we emerged as both the fastest-growing and most profitable automotive retailer in the US, thanks to our deep vertical integration across retail, lending, vehicle transportation, wholesale auctions, and more.

Our technology teams build:

• End-to-end ecommerce for buying and selling cars, including everything you see on Carvana.com and in our mobile apps.
• AI-driven customer support across chat, email, SMS, and voice, as well as a proprietary CRM platform built for efficiency and quality at scale.
• 360° vehicle photography and interactive merchandising using cutting-edge computer vision and AI.
• The most sophisticated self-service automotive lending platform in the world; a full fintech stack.
• Systems and tools behind a nationwide logistics network that has delivered and picked up over 3 million cars via our fully owned and operated fleet, reaching 90% of US driveways.
• Enterprise-grade systems for operating the largest vehicle reconditioning facilities in the US, with workflow automation covering everything mechanical, electrical, and cosmetic.
• Early adoption and customization of AI tools to optimize developer efficiency and experience.

And much, much more…

About the team and position

Our Product team is at the center of that growth, and we are hiring. We are an AI-first technology organization that moves fast, operates with high ownership, and builds things that matter at scale. If you want to grow not just as a Product Manager but as a leader and business-builder, Carvana is the place for you.

We are hiring Product Managers across several teams in Los Angeles and Phoenix, spanning mid-level and senior roles. While each team has its own focus area, we look for the same foundational qualities across all of them: strong product instincts, a data-driven mindset, an AI-first approach to work, and the drive to own outcomes end to end.

The Teams

Depending on your background and interests, you may be considered for one or more of the following teams:

• Conversational AI: Own the roadmap and continuous improvement of Sebastian, our AI-powered conversational agent built on leading-edge LLMs that helps millions of customers research, buy, sell, and manage their vehicles.
• Transactional Communications: Own the customer-facing communications ecosystem across email and SMS, delivering clear, empathetic, and timely messages throughout the car-buying journey at scale.
• Nurture: Lead nurture communications on an AI-first team, guiding customers from early interest through purchase using machine learning, personalization, and experimentation across email, SMS, and push.
• Engineering Horizontals - Identity, Experimentation & Data Platform: Own the foundational platforms that power customer trust, product innovation, and regulatory compliance, including authentication, consent management, data privacy APIs, and experimentation infrastructure, as well as the strategic shift in how Carvana consumes and governs data through enterprise adoption of Sigma, migration of legacy SQL Server assets to Snowflake, and ownership of the unit economics of the data platform.
• New Car Platform: Own product strategy and execution for high-priority special projects across Carvana's New Car organization, spanning new entrants, franchise manufacturers, and direct-to-consumer offerings with broad cross-functional visibility.

What you’ll be doing

While responsibilities vary by team, all roles share a common set of expectations:

• Drive the product roadmap and lead end-to-end product development informed by customer research, analytics, and business needs.
• Partner cross-functionally with Engineering, Design, Data Science, Analytics, and business stakeholders to scope, prioritize, and ship high-impact initiatives.
• Own experimentation and measurement, actively interpreting results and translating insights into continuous product improvements.
• Apply AI tools as a core part of how you work, accelerating research, synthesis, prototyping, and day-to-day execution.
• Write clear requirements, project briefs, and documentation to align stakeholders and enable effective engineering execution.
• Use data to size opportunities, evaluate tradeoffs, and make decisions.
• Take full ownership of your product area and be accountable for the long-term trajectory of key business outcomes such as sales, gross profit, customer satisfaction, and cost per unit sold.

What you should have/know

• A bachelor's degree in STEM, Economics, Finance, Business, Design, or equivalent experience.
• Two or more years of product, product analytics, or related experience for mid-level consideration; four or more years for senior-level consideration.
• Outcome-oriented and data-driven decision making, backed by expertise in metrics, analytics, and tools such as SQL, Tableau, Looker, or Sigma.
• An AI-first approach to product work, with hands-on experience using AI tools for research, analysis, prototyping, and day-to-day productivity.
• Excellent written and verbal communication, organizational, and project management skills with strong attention to detail.
• Ability to learn and absorb technical concepts and communicate them effectively to non-technical audiences.
• Deep product experience at one or more highly successful and ideally high-growth companies.
• Strong opinions about consumer products and a developed sense of product taste.
• Experience with experiment design and interpretation.
• A willingness to roll up your sleeves and do whatever it takes for the sake of the team and our customers.
• Self-motivated with a sense of humor and the ability to thrive in a fast-paced, ambitious environment.

It would be great if you also have

• A genuine passion for AI and its potential to transform product experiences, not just familiarity with the tools but a curiosity about where the technology is headed and how to apply it creatively.
• Hands-on experience building or iterating on AI-driven products, including features powered by machine learning, LLMs, RAG, tool-calling, or agent frameworks.
• Knowledge of data science best practices and the ability to collaborate closely with data scientists and ML engineers to shape model-informed product decisions.
• Strong UX instincts and the ability to anticipate user needs and pain points, especially in AI-assisted or conversational experiences.
• Experience with agile methodology and product strategy and roadmapping.
• Familiarity with Snowflake, Sigma, Looker, or Tableau for independent data exploration.
• Background in automotive, e-commerce, marketplaces, retail, or similarly complex operating environments.

What we’ll offer in return

• Full-Time position with a competitive salary and Carvana stock compensation.
• Medical, Dental, and Vision benefits.
• 401K with company match.
• A multitude of perks including student loan payments, discounts on vehicles, benefits for your pets, and much more.
• A great wellness program to keep you healthy and happy both physically and mentally.
• Access to opportunities to expand your skill set and share your knowledge with others across the organization.
• A company culture focused on high performance and bar-raising, with vast opportunity to learn and grow.

Other requirements

To be able to do your job at Carvana, there are some basic requirements we want to share with you.

• Must be able to read, write, speak and understand English.

Of course, we’ll make any reasonable accommodations for those with disabilities to perform the essential functions of their jobs. 

Legal stuff

Hiring is contingent on passing a complete background check. This role is eligible for visa sponsorship.

Carvana is an equal employment opportunity employer.  All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law.  Carvana also prohibits harassment of applicants or employees based on any of these protected categories.

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

SOFTWARE ENGINEER

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Software Engineer at Freeform, you will play a key role in developing and deploying the software systems that power our autonomous metal 3D printing factories. You’ll work with a talented engineering team from some of the world’s most innovative companies across a range of projects including controls, high-speed data acquisition, high-performance computing (GPU’s and FPGA’s), and geometry processing pipelines that enable precise and fully automated manufacturing at scale. Your work will directly impact the performance, reliability, and scalability of our factory systems. The ideal candidate thrives in ambiguity, takes initiative on complex technical problems, and works collaboratively across disciplines to deliver robust, high-performance software solutions. This is an opportunity to build foundational systems for a new category of manufacturing technology - where your code doesn’t just run, it drives physical innovation. 

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology! 

Responsibilities:  

• Architect and develop software for an advanced, production-scale metal 3D printing factory 
• Work with process, control, and mechanical engineers to integrate control algorithms into production software 
• Improve and scale out high-rate data acquisition, storage, and retrieval systems 
• Implement processes for converting customer part geometries into machine print instructions 

Basic Qualifications: 

• Bachelor’s degree in computer science, computer engineering, electrical engineering, mathematics, or physics
• Proficiency in a systems level programming language such as C/C++ or Rust
• Experience with high-performance systems software such as hardware control software, embedded software, high-volume telemetry systems, graphics rendering, or similar

Nice to Have:  

• Experience interfacing with microcontrollers, FPGA, or GPU computing hardware 
• Experience developing embedded or real-time software systems 
• Experience writing software for industrial automation systems, rockets, spacecrafts, robotics, or related hardware that operates with the physical world 
• Experience working in a Linux or RTOS environment 
• Comfortable working in fast-paced, ambiguous environments and iterating quickly (comfortable building the plane as we fly it) 
• Strong communicator who collaborates across disciplines and proactively seeks support when needed 
• Willing to take ownership of tasks big and small, with a hands-on, problem-solving mindset 
• Strong work ethic with a refuse-to-fail mindset 
• Demonstrated indicators of excellence and/or achieving success against adversity (i.e. top academic performance, leadership in engineering clubs, first-generation college student, or other examples of resilience and achievement) 

Location:  

• Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

• Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:  

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions. 
• We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling world-changing technology.  
• Benefits  
  • Significant stock option packages 
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options) 
  • Life insurance 
  • Traditional and Roth 401(k) 
  • Relocation assistance provided 
  • Paid vacation, sick leave, and company holidays 
  • Generous Paid Parental Leave and extended transition back to work for the birthing parent 
  • Free daily catered lunch and dinner, and fully stocked kitchenette 
  • Casual dress, flexible work hours, and regular catered team building events 
• Compensation  
  • Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role. 
  • In addition to the significant stock option package, the estimated salary range for this role is $115,000-$150,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
• Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. 

What To Expect: 

• Thank you for your interest in our new graduate opportunity! We truly appreciate your application and enthusiasm to join our team. Please note that our interview process will include 2-3 rounds of interviews.

SENIOR SOFTWARE ENGINEER 

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits.

As a Senior Software Engineer at Freeform, you will be responsible for architecting and implementing critical software systems for our autonomous 3D printing factories. You'll have an opportunity to touch many different aspects of our software ecosystem from hardware control, to high-rate telemetry and big data storage systems, to high-performance compute and machine learning pipelines. We don’t develop software in a vacuum, we develop it alongside a multi-disciplinary team with specific, real-world purposes, so collaboration and systems-level thinking are essential to success. If working in an environment where you can rapidly deploy code to solve problems on the cutting edge of AI-enabled manufacturing technology sounds exciting, we'd love to hear from you! 

3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology!

Responsibilities:

• Architect and develop software for an advanced, production-scale metal 3D printing system
• Work with mechanical engineers, electrical engineers, and physicists to integrate control algorithms into production software
• Improve and scale out petabyte-scale, high-rate telemetry, storage, and retrieval systems
• Use computer science and engineering fundamentals to solve notoriously challenging algorithmic and optimization problems
• Develop high-performance compute solutions using GPU parallel processing
• Move fast, innovate, don’t over-engineer things, be a good teammate, be flexible and open to new ideas, and push the bounds of what’s possible  

Basic Qualifications:

• 5+ years of professional experience in software development
• Proficiency in a systems level programming language such as C/C++ or Rust
• Experience with high-performance systems software such as hardware control systems, embedded software, high-volume telemetry systems, graphics rendering, or similar 

Nice to Have:

• Bachelor’s or advanced degree in computer science or computer engineering
• 8+ years of professional software development experience
• Experience building out backend infrastructure, high-performance storage solutions, streaming processing systems, scientific analysis pipelines and workflows
• Experience writing software for industrial automation systems, robotics, or related hardware
• Experience with operations systems, computer architecture, or similar computer systems internals
• Experience with computer graphics or similar geometry-intensive problems  
• Experience operating as a technical lead, driving architectural decisions and mentoring junior engineers 

Location:

• Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country.

• Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

What We Offer:

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions.
• We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology.
• Benefits
  • Significant stock option packages
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options)
  • Life insurance
  • Traditional and Roth 401(k)
  • Relocation assistance provided
  • Paid vacation, sick leave, and company holidays
  • Generous Paid Parental Leave and extended transition back to work for the birthing parent
  • Free daily catered lunch and dinner, and fully stocked kitchenette
  • Casual dress, flexible work hours, and regular catered team building events
• Compensation  
  • As a growing company, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role. 
  • In addition to the significant stock option package, the estimated salary range for this role is $150,000-$250,000. The upper end of the range is reserved for individuals who demonstrate exceptional experience, deep domain mastery, and a proven history of high performance and impact.
• Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. 

Company Information
For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.

Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.

If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer!

JOB DESCRIPTION:

The Sr. Data Analyst will play a pivotal role in maximizing revenue and driving dynamic pricing strategy across ticketing products and fan segments. Using statistical modeling and machine learning, this role will measure price elasticity, forecast revenue, and predict customer demand. The position will collaborate closely with cross-functional teams, including Sales, Service, Marketing, and Operations, to deploy scalable data science tooling, drive decision-making, and optimize sales.

 ESSENTIAL FUNCTIONS:

• Implement and manage dynamic pricing mechanisms to adjust ticket prices in real-time based on factors such as team performance, opponent strength, and event timing. 
• Utilize models and data analysis to identify pricing trends, optimize ticket prices, and forecast revenue potential for various seating categories. 
• Manage the end-to-end data science lifecycle from model design, development, deployment, maintenance, and model updates.  
• Provide expertise, analysis, and guidance for promotional campaigns, ensuring alignment with overall pricing strategies. 
• Effectively collaborate with business partners to communicate findings and understand key pricing problems and define strategic priorities. 
• Partner closely with the Data Engineering team to structure, validate, and optimize data pipelines and data models for analysis and resolve any data discrepancy. 
• Build and maintain SQL-based views across data warehouses, ensuring suitability for reporting, accuracy, performance, and data integrity. 
• Communicate findings and next steps to leadership. 

SPECIFIC JOB KNOWLEDGE, SKILL AND ABILITY:

The Sr. Data Analyst must possess the following knowledge, skills and abilities and be able to explain and demonstrate that he or she can perform the essential functions of the job, with or without reasonable accommodation, using some other combination of skill and abilities:

QUALIFICATION STANDARDS:

Education:

• BA/BS Degree in mathematics, engineering, physics, or related quantitative field

Experience:

• Bachelor’s degree in mathematics, engineering, physics, or related quantitative field 
• 2+ years’ experience as a data scientist, pricing analyst, data analyst, or equivalent 
• Data Science certification required, master’s degree in data science, statistics, computer science, engineering, economics, analytics or a related quantitative field preferred 
• Expertise in SQL, statistical programming (Python) and Spark 
• Experience working with MLOps workflows and platforms, including Databricks, Azure ML, SageMaker or similar tools is preferred.  
• Rigorous attention-to-detail, keen critical thinking skills, and pragmatic problem-solving mindset 
• Strong statistical knowledge and proven experience developing forecasting, demand prediction, and dynamic pricing models, and driving revenue outcomes in a data-driven, agile organization. 
• Strong communication skills and ability to work with all levels of employees; must be able to communicate technical aspects to non-technical team members 
• Ability to work independently to accomplish work objectives, while also thriving in a team environment 
• Experience or interest in sports/live entertainment a plus 

Payscale: $79,000 - $100,000

Bonus: This position is eligible for a bonus under the current bonus plan requirements.

Benefits Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings.

AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship.  AEG may require an employee to perform duties outside their normal description.

AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions.  We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law.

Employer does not offer work visa sponsorship for this position.

#LI-LAKings #LI-Onsite

⚡ POST-PRODUCTION BUILDER WANTED

Post-Production Automation Engineer

Build the systems that make our creative team superhuman.

📇 Role: Post-Production Automation Engineer

📍 Location: Los Angeles, CA (Remote-Friendly)

💰 Compensation: $120,000–$160,000

👤 Reports to: VP of Post-Production

🚀 About TubeScience

TubeScience is a data-driven creative studio producing performance advertising at massive scale — and we’re growing fast. We’re looking for a Post-Production Automation Engineer to be the most technically sophisticated person on our post team.

💡 The Role

This is a builder role — for someone genuinely excited about where AI and automation are taking Post-Production. You’ll own our automation and AI roadmap from day one, with the autonomy to identify problems and ship solutions without waiting to be asked. You are the product lead, the architect, and the builder — all in one.

🎬 What You’ll Own

🤖 Automation & AI Engineering

Architect end-to-end automation across ingest, QC, editing, delivery, and archival

Deploy LLMs, generative video platforms, and intelligent metadata/tagging systems

Design agent-based workflows that eliminate manual effort

Evaluate emerging AI tooling and own build-vs-buy decisions

🏗️ Systems Architecture & Integration

Own our Iconik MAM: custom actions, metadata schemas, transcoding, and API integrations

Build REST API and webhook integrations across post tools and third-party platforms

Develop automation pipelines in n8n, Make, or Zapier — or go custom in Python/JS

Design for resilience: logging, error handling, alerting, and monitoring

💻 Scripting & Tool Development

Write production-grade Python and JS/Node.js scripts across Adobe Creative Suite

Build internal tools that give editors superpowers without exposing the complexity

Build and maintain Adobe CEP/UXP panels inside the tools editors already use

🔬 R&D & Proactive Improvement

Audit the post pipeline for bottlenecks before the team surfaces them

Prototype emerging tech — AI, ML, new codecs, cloud-native media workflows

Own the Post-Production tooling roadmap with minimal oversight

🤝 Collaboration & Documentation

Translate Post-Production creative needs into precise technical requirements

Align with core engineering on infrastructure, deployment, and architecture

Document every system thoroughly so the team can run it confidently

Serve as final escalation for complex technical issues the post team can’t resolve

🧬 What We’re Looking For

4–6+ years in post-production engineering or workflow automation — high-volume advertising or broadcast preferred

Strong Python and/or JavaScript/Node.js — clean, production-grade code

Proven REST API integration experience with solid edge-case handling

Expert-level Iconik MAM experience strongly preferred

Hands-on with LLMs, generative AI, and orchestration tools (n8n, Make, Zapier or equivalent)

Deep fluency in codecs, containers, color pipelines, and shared storage (e.g. LucidLink)

Adobe Creative Suite scripting experience — CEP/UXP panel dev a strong plus

Working knowledge of AWS or Google Cloud and cloud-native media workflows

Genuine passion for post-production and excitement about transforming it with technology

➕ Bonus Points

Experience with AI video generation tools (Runway, Veo, Sora) in production

Background in high-volume performance advertising or broadcast

Multi-step agentic pipeline design or large-scale workflow orchestration

Open-source contributions in the media/post-production space

Experience with data pipelines or BI tooling connected to production metadata

✨ Benefits

🩺 Health, Vision & Dental coverage

🧳 Unlimited PTO

💰 401(k) + Matching

💗 Life Insurance

🤒 Paid Sick Days

👶 Paid Parental Leave

About this position:

We’re looking for a Machine Learning Infrastructure Engineer to join our growing Data & Platform team and build the foundation that powers our AI and machine learning capabilities across Later’s product portfolio. As our first dedicated ML Infrastructure Engineer, you will own the systems that support model experimentation, training, deployment, and monitoring at scale.

This role is critical to accelerating our data science initiatives and enabling future AI innovation. You’ll design and operate reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to ship high-impact models with confidence. If you’re excited about building robust ML systems in a fast-moving environment—and want to define the standard for ML Ops at Later—this is your opportunity.

What you'll be doing:

Strategy

• Define and own the long-term ML infrastructure roadmap, ensuring it supports both current experimentation needs and future AI initiatives.
• Establish best practices for model lifecycle management, deployment standards, monitoring, and governance. 
• Identify infrastructure gaps and proactively design scalable solutions to enable high-velocity ML development.
• Contribute to cross-functional technical planning, ensuring ML systems align with product and platform strategy.

Technical/ Execution

• Design, build, and maintain production-grade model deployment and inference systems using CI/CD pipelines, containerized services (Docker), and API frameworks (e.g., Flask).
• Automate end-to-end ML lifecycle workflows including training pipelines, model validation, registry management, deployment, and rollback strategies.
• Implement robust monitoring systems for model performance, latency, drift detection, and infrastructure health using tools such as CloudWatch, Prometheus, and Grafana.
• Operate across AWS and GCP environments to manage training and inference workloads, including GPU-based infrastructure and BigQuery datasets.
• Develop and maintain infrastructure-as-code (Terraform, CloudFormation) to ensure scalable, repeatable, and secure cloud environments.
• Implement and optimize CI/CD workflows (e.g., GitHub Actions, GitLab CI, Bitbucket Pipelines) for ML and infrastructure automation.

Team / Collaboration

• Partner closely with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
• Translate data science experimentation needs into production-ready infrastructure solutions.
• Serve as the technical bridge between ML experimentation and productized deployment.
• Share knowledge and best practices to elevate ML maturity across teams.

Research/Best Practices

• Stay current on emerging ML Ops practices, tools, and frameworks to continuously improve system reliability and efficiency.
• Evaluate and implement model-serving frameworks (e.g., TorchServe, Seldon, TensorRT) where appropriate.
• Contribute to governance, reproducibility, and auditability standards for ML systems.
• Experiment with new tooling and workflows to improve reproducibility, performance, and developer velocity.

What success looks like:

• ML models move from experimentation to production quickly and reliably, with minimal manual intervention.
• CI/CD pipelines enable safe, repeatable deployments with clear rollback strategies.
• Model performance, drift, and infrastructure health are proactively monitored and observable.
• Infrastructure supports scalable GPU training and real-time inference without bottlenecks.
• Data scientists report improved velocity, reproducibility, and confidence in deploying models.
• ML systems are secure, compliant, and aligned with evolving product and AI strategy.

What you bring:

• 4+ years of experience in ML Ops, ML infrastructure, backend engineering, or related roles supporting production ML systems.
• Experience working in cloud-native environments (AWS and/or GCP) with hands-on deployment of ML workloads.
• Proven track record designing and implementing CI/CD pipelines for ML systems.
• Strong experience with Amazon SageMaker, Docker, Flask-based APIs, and infrastructure automation tools.
• Hands-on experience with ML lifecycle tooling such as MLflow, SageMaker Studio, or Weights & Biases.
• Experience managing container orchestration platforms (Kubernetes, EKS, or GKE).
• Strong programming experience in Python (additional experience in Go, Java, or Scala is a plus).
• Experience working with infrastructure-as-code tools such as Terraform or CloudFormation.
• Familiarity with observability tools such as CloudWatch, Prometheus, Grafana, Datadog, or centralized logging platforms.
• Experience managing GPU-based workloads and scaling training/inference systems.
• Familiarity with data infrastructure tools such as BigQuery and cloud-native data pipelines.
• Bonus: Experience supporting LLMs or generative AI pipelines, distributed training systems, feature stores (e.g., Feast), real-time inference systems, or ML governance frameworks.
• A mindset focused on automation, reliability, performance, and continuous improvement in fast-scaling environments.

How you work: 

• Driven by Impact: You deliver results that matter—prioritizing high-value work, meeting deadlines, and adapting quickly while keeping outcomes clear.
• Strategic & Customer-Centric: You anticipate risks and opportunities, connect decisions to long-term growth, and build trust through proactive insights.
• Curious & Growth-Oriented: You seek knowledge, ask sharp questions, and apply learnings fast—challenging the status quo with a mindset of improvement.
• Collaborative & Resilient: You thrive in change by staying resourceful, solution-focused, and positive—removing roadblocks, sharing insights, and keeping morale high.
• Accountable & Honest: You own your work, hold yourself and others to a high bar, and use transparent feedback to drive growth.
• Emotionally Intelligent: You build trust through empathy and collaboration, foster inclusion, and inspire others with grit, optimism, and integrity.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted. 

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

Salary Range: 

$ 145,000 -165,000 

#LI-remote

About the Role  

Armada is hiring a Senior Manager of Analyst Relations to own and grow our analyst relations program with a key focus on participation in key industry evaluations such as Gartner Magic Quadrants, Forrester Waves, and similar reports. This role will build and maintain strong relationships with analysts, drive compelling narratives around our products and strategy, and elevate Armada’s position in the industry. 

Key Responsibilities

• Develop & Execute Analyst Relations Strategy: Design and implement an AR strategy that drives Armada’s visibility, credibility, and success in key analyst research reports including Gartner Magic Quadrants, Forrester Waves, IDC MarketScapes, etc 
• Manage Analyst Engagements: Coordinate all aspects of analyst engagement, including briefings, inquiries, evaluations, and submissions. Ensure timely delivery of high-quality materials and responses. 
• Lead MQ & Wave Participation: Serve as the primary lead for Magic Quadrant and Wave submissions — gathering required content, storytelling, messaging, customer references, and internal preparation. Ensure Armada’s narrative and positioning aligns with business objectives and analyst expectations.  
• Build Relationships: Cultivate strong, trusted relationships with key industry analysts at Gartner, Forrester, IDC, and other influential firms. Act as the primary point of contact for analyst interactions. 
• Cross-Functional Collaboration: Partner closely with Product, Communications, GTM, Sales, and Executive teams to gather insights, align on messaging, prepare spokespeople, and integrate analyst feedback into product and GTM strategy 
• Internal Advocacy & Education: Educate internal stakeholders on analyst agendas, schedules, research themes, and competitive dynamics. Equip executives and product leaders with the context needed to effectively engage analysts. 
• Drive Execution Accountability: Work alongside Product and R&D to reinforce organizational commitment to the roadmap, own the cadence and clarity of roadmap communications with analysts, and ensure post-delivery updates clearly demonstrate execution against stated plans. 
• Measurement & Reporting: Track and report analyst interactions, coverage outcomes, influence on key research, and business impact metrics. Provide insights and quarterly assessments to leadership. 

Required Qualifications 

• Experience: 10+ years of industry analyst relations experience in high-growth, enterprise, or SaaS technology environments, with a solid track record of managing analyst evaluations like Gartner Magic Quadrants and Forrester Waves (or equivalent) 
• Strategic Storytelling: Proven ability to translate complex products and technical capabilities into clear, compelling narratives tailored for analyst audiences 
• Relationship Skills: Deep relationships with key analysts and demonstrated ability to build credibility and trust 
• Cross-Functional Collaboration: Experience working with product, marketing, communications, and executive teams to align AR efforts with broader business goals 
• Communication: Excellent verbal and written communication skills, with strong presentation and executive briefing capabilities 
• Project Management: Highly organized with the ability to manage multiple priorities, deadlines, and complex submission cycles 

Preferred Qualifications

• Experience in B2B enterprise software, cloud, cybersecurity, AI or related tech sectors 
• History of successful positioning in top-tier analyst research and competitive differentiation 
• Experience leveraging analyst insights to influence product roadmaps or go-to-market strategies 

About the Role:

The Machine Learning team at Tubi drives the innovation behind personalized user experiences. With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding, and ads optimization that shape the future of streaming.

We are seeking a Director of Machine Learning Engineering and Infrastructure to lead a hybrid team bridging advanced ML engineering with world-class infrastructure design. In this role, you will own the strategic direction and execution for scaling our machine learning capabilities while ensuring our distributed systems and infrastructure can support innovation at massive scale. You will combine technical depth with leadership excellence to guide teams that deliver both foundational ML systems and high-performance distributed services.

What You'll Do: 

• Lead and manage high-performing teams across ML engineering and ML infrastructure, fostering a culture of innovation, collaboration, and growth.
• Define and execute the strategic roadmap for ML systems, including recommendation, personalization, and ads optimization.
• Oversee the design, development, and deployment of scalable ML pipelines: data ingestion, feature engineering, model training, evaluation, and serving.
• Architect distributed systems to support ML workloads at scale, ensuring reliability, observability, and operational excellence.
• Partner closely with Product, Engineering, and Content teams to align on business goals and deliver impactful ML-driven experiences.
• Support best practices in experimentation, evaluation, and ML system monitoring.
• Ensure cost efficiency, scalability, and performance in ML infrastructure investments.

Your Background:

• 10+ years of industry experience spanning machine learning engineering and distributed systems.
• 3+ years of leadership and management experience, with a proven ability to build and lead strong technical teams.
• MSc or Ph.D. in Computer Science, Machine Learning, or related field, or equivalent practical experience.
• Proven expertise in building and deploying end-to-end ML systems at scale, including recommendation and personalization systems.
• Strong background in distributed systems architecture, including low-latency services, streaming platforms, and large-scale serving.
• Hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and ML infrastructure technologies.
• Track record of delivering high-quality, scalable, and fault-tolerant systems.
• Excellent communication skills and ability to influence product and technical strategy.
• Proven experience deploying large-scale serving systems on AWS and demonstrated expertise in leveraging Databricks for large-scale data processing and ML workflows

About the Role:

The Machine Learning team at Tubi drives the innovation behind personalized user experiences.  With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming.

We are seeking a highly skilled Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions.

What You'll Do:

• Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience
• Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas
• Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment
• Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences.
• Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement

Your Background:

• 8+ years of industry experience building production Machine Learning systems
• MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
• Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
• Proficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment.
• Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning.
• Ability to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions.

#LI-Hybrid #LI-SC1

About the Role:

As a Senior Associate, Content Merchandising at Tubi, you’ll help shape how merchandising scales across our platform. You’ll lead go-to-market planning for high-visibility titles, partner closely with Product and Data Science to refine personalization and recommendation systems, and drive cross-functional coordination for complex projects. You will be responsible for not just execution, but for identifying optimizations, leveraging experimentation, and contributing to how human curation and machine learning come together to deliver best-in-class user experiences.

This is a hybrid role based out of our Los Angeles office. You must be willing to travel to our Los Angeles office four days/week. 

What You'll Do:

• Develop merchandising strategy and go-to-market planning for high-priority titles,  tentpole events, and platform-wide initiatives such as product feature releases
• Curate and package content into themed collections, categories, and special events that reflect user interests and business priorities
• Propose new categories or editorial opportunities based on trends and audience insights
• Interpret and utilize data for continuous editorial improvements, and effectively communicate and document the process or results of your analyses cross-functionally
• Manage and maintain editorial calendars, ensuring deadlines and accuracy
• Partner with Product and Data Science to inform personalization models, test new recommendation approaches, and interpret results.
• Analyze performance data and translate insights into actionable merchandising strategies.
• Manage complex workflows across Marketing, Content, and Product stakeholders, ensuring alignment and timely execution.
• Identify and implement efficiencies in merchandising workflows.
• Contribute to the design of scalable processes and automation to increase team efficiency and impact.
• Stay current on industry trends and competitive approaches to content merchandising and personalization.
• Contribute to metadata strategy, copywriting, and creative optimization to strengthen title visibility and user engagement.

Your Background:

• 4–5 years in content merchandising, editorial strategy, or digital media.
• Strong track record of campaign planning, title go-to-market execution, and cross-functional coordination.
• Demonstrated ability to analyze data, test hypotheses, and apply insights to improve user experience.
• Experience collaborating with technical teams (Product, Data Science, Engineering) on workflows, tools, or personalization systems.
• Excellent communication, organizational, and problem-solving skills.
• Familiarity with AI/ML-driven content discovery or demonstrated interest in the space.
• Passion for entertainment, streaming, and audience engagement.

#LI-MJ1

#LI-Hybrid 

About the Role:

As a Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi.

A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine.

You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams.

We currently have multiple openings;

• Staff Software Engineer
• Principal Software Engineer
  • Additional Details: As a Principal Engineer on the ML Infrastructure team, you will be a technical leader and visionary, driving the evolution of our machine learning platform. You will tackle the most complex and impactful technical challenges, shaping the architecture and technology choices that enable our ML capabilities to scale and deliver exceptional user experiences. You will be a key influencer, bridging the gap between engineering and product, and a mentor to senior engineers, fostering a culture of technical excellence and continuous improvement. Your work will be used by millions of users.

Responsibilities:

• Design and build scalable, high throughput, and low latency distributed systems using Scala
• Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration
• Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art.
• Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary
• Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc.
• Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi.  

Your Background:

• Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM based language is a plus.
• Strong experience with AWS or an equivalent cloud platform
• Experience building online microservices at scale with low latency serving
• Experience with both SQL (e.g. Postgres) and NoSQL databases (e.g. Cassandra), message brokers (e.g. Kafka), and caches (e.g. Redis)
• Experience with containerization technologies, such as Docker or Kubernetes
• Led the response and resolution efforts for multiple major, large-scale incidents

Bonus:

• Familiarity with the machine learning infrastructure like inference engines (e.g. torschserve, triton, vLLM), vector stores (e.g. LanceDB, FAISS), feature stores (e.g. Feast), ElastiCache, model training orchestration, etc.
• Understanding of ML model training pipelines and model internals. Experience with Recommender Systems, Search, Autocomplete and Ads ML is a plus
• Previous experience with Akka, Erlang, Elixir or Go
• Proficient in data-driven analysis of complex A/B testing results

About Tubi:

Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

#LI-Hybrid

WHAT YOU’LL DO

THE DAY-TO-DAY

• Lead and Define AI Strategy – Set the vision for applied ML research and AI-driven decision-making across Viant’s products and services.
• Drive High-Impact Research – Conduct advanced research in NLP, RL, LLMs, and deep learning, publishing in top-tier conferences while applying findings to real-world production systems.
• Architect and Deploy ML at Scale – Develop, optimize, and deploy high-throughput, low-latency ML models, collaborating with engineers to bring solutions into production.
• Innovate in Generative AI & Causal ML – Explore novel AI techniques, such as LLMs, reinforcement learning, and causal inference, to enhance targeting, personalization, and attribution models.
• Experimentation and Validation – Design, run, and analyze A/B experiments to test ML-driven strategies, ensuring data-driven decision-making.
• Mentor and Influence – Provide technical leadership for a team of applied scientists and ML engineers, fostering a culture of innovation and excellence.

MUST HAVE

• Experience: 4+ years of experience building and deploying machine learning models at scale.
• Technical Leadership: Demonstrated ability to lead complex, high-ambiguity ML projects from research to production.
• Academic & Industry Recognition: Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• Deep Expertise in ML & AI: Strong foundation in deep learning, NLP, generative AI, and causal inference.
• Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index).
• Scalability & Cloud: Experience with distributed computing, cloud ML platforms (AWS, GCP, or Azure), and real-time AI inference.

GREAT TO HAVE

• Industry Impact: Publications at top-tier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI).
• Ad Tech Expertise: Experience in digital advertising, real-time bidding, or audience modeling.
• Generative AI Applications: Hands-on experience with LLMs and multimodal AI applications.
• Optimization & Personalization: Strong background in reinforcement learning, dynamic pricing, or recommendation systems.

LIFE AT VIANT

Investing in our employee’s professional growth is important to us, but so is investing in their well-being. That’s why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more. 

#LI-KW1

WHAT YOU’LL DO

THE DAY-TO-DAY

EDGE COMPUTE AND DATA CENTER ARCHITECT

Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. 

In this role, you will architect and build the compute infrastructure and connectivity backbone for a new class of AI-native metal 3D printing factories. Each node in the factory integrates dense GPU clusters and generates massive, high-frequency data streams that must be processed in real time on the edge. You will design systems spanning heterogeneous compute (CPU/GPU), high-bandwidth interconnects (e.g., NVLink, InfiniBand), and distributed data platforms to support both real-time control loops and large-scale data processing. You will oversee both on-premises and cloud-based infrastructure, ensuring high availability, scalability, and security. This is a unique opportunity to build advanced compute systems and scale them from a single deployment into a globally distributed platform. 

Responsibilities: 

• Architect and scale state-of-the-art edge compute and storage systems for a big-data infrastructure, enabling Freeform to perform real-time machine learning on the edge as well as store petabytes of physics-based data for inference
• Lead the design, deployment, and maintenance of on-premises and cloud-based infrastructure, ensuring high availability, scalability, and security of IT systems
• Optimize and manage virtualization and containerization technologies
• Design, implement, and manage the company's networking infrastructure, ensuring robust connectivity, performance optimization, and security across all network layers
• Implement and manage comprehensive security protocols to protect data, systems, and infrastructure. Conduct regular security audits and vulnerability assessments to ensure the highest levels of protection
• Ensure infrastructure is built and scaled with cost and resource efficiency in mind
• Ensure compliance with industry standards and regulations for network security operations such as NIST and ITAR

Basic Qualifications: 

• Bachelor's degree in electrical engineering, computer engineering, or network engineering
• 5+ years of enterprise level data center engineering experience
• Heterogenous compute/data center infrastructure experience (CPUs, GPUs, traditional servers and storage)
• Strong knowledge of both on-premises and cloud-based infrastructure

Nice to Have: 

• 10+ years of overall industry experience
• Experience with high-speed data
• Experience with Infiniband or similar high-bandwidth communication systems
• Experience scaling infrastructure for a startup environment
• Experience developing and implementing edge-compute capabilities such as data center infrastructure for ground stations, IoT, or similar hardware-centric operations
• Excellent leadership and team management skills
• Strong problem-solving and decision-making abilities
• Excellent communication and interpersonal skills
• Understanding of security protocols and compliance standards, such as NIST 800-171 and ITAR

Location: 

• Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country. 

• Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions.

Why Freeform? 

• We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions
• We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology
• Benefits 
  • Significant stock option packages 
  • 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options) 
  • Life insurance 
  • Traditional and Roth 401(k) 
  • Paid vacation, sick leave, and company holidays 
  • Generous Paid Parental Leave and extended transition back to work for the birthing parent 
  • Free daily catered lunch and dinner, and fully stocked kitchenette 
  • Casual dress, flexible work hours, and regular catered team building events 
• Compensation   
  • As an early-stage startup, the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role. 
• Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.  

Engineering Manager (Assignment: Data Warehouse Engineering)

WelbeHealth PACE helps seniors stay in their homes and communities by providing medical care and community-based services. We believe in going the extra mile and aim to make a genuine difference in our participants’ lives.

The Engineering Manager, Data Warehouse Engineering assignment will lead the architecture, engineering, and optimization of WelbeHealth’s data warehouse built on Databricks and Azure, enabling scalable analytics across the enterprise. The ideal candidate will possess expertise in Databricks, Azure Data Services, DevSecOps, and modern CI/CD automation pipelines, with proven experience building secure, compliant data architectures in a healthcare setting. This role includes data architecture, mentoring a team of data engineers, and fostering an innovative, collaborative engineering culture that embraces automation, modern development practices, and emerging AI-driven solutions.

This role is different because the Engineering Manager (Date Warehouse Engineering) at WelbeHealth:

• Directly architects and secures the enterprise data foundation that powers care delivery for vulnerable seniors, building a compliant, AI-enabled Databricks/Azure lakehouse that transforms clinical, operational, and regulatory data into actionable insights across the organization
• Operates as a true hands-on technical leader, not just a people manager, blending data architecture, DevSecOps automation, CI/CD rigor, and healthcare compliance expertise to scale a modern, secure data platform while mentoring a high-performing, innovation-driven engineering team

We care about our team members. That’s why we offer:

• Medical insurance coverage (Medical, Dental, Vision)
• Work/life balance - We mean it! 17 days of personal time off (PTO), 12 holidays observed annually, and 6 sick days
• 401K savings + match
• Comprehensive compensation package including base pay and bonus
• And additional benefits!

On the day-to-day, you will:

• Lead, mentor, and develop a high-performing team of data engineers, fostering an engineering culture centered on collaboration, innovation, and continuous improvement
• Architect, design, and manage data warehouse and lakehouse solutions on Databricks and Azure, ensuring scalability, security, and compliance with healthcare regulations
• Evaluate and implement AI and machine learning technologies within Databricks and Azure environments to optimize data processes and accelerate analytics capabilities
• Implement DevSecOps principles across the data engineering environment, integrating security, compliance, and automation into every stage of the development lifecycle
• Develop and manage CI/CD pipelines for data engineering workflows to promote automated testing, deployment, and environment consistency
• Drive automation across data ingestion, transformation, and quality frameworks to deliver efficient, robust, and scalable data processes
• Collaborate with Analytics, IT, and business partners to deliver secure, efficient, and compliant data warehouse solutions that meet organizational data needs, as well as oversee data modeling, integration, governance, and data quality frameworks that ensure accuracy, consistency, and business trust in analytic data sets

Job Requirements Include:

• Bachelor’s or master’s degree in computer science, information systems, data engineering, or related field
• Minimum of seven (7) years of experience in data engineering or data warehouse architecture, including at least three (3) years in a technical leadership position
• Two (2) years of supervisory experience with demonstrated ability to mentor and develop team members
• Deep expertise in Databricks architecture including Delta Lake, Apache Spark, and MLflow, with strong experience implementing complex data pipelines and transformations
• Hands-on experience architecting and deploying analytics and data infrastructure on Microsoft Azure (Data Factory, Azure SQL, Storage, etc.)
• Proven experience implementing DevSecOps frameworks, secure data operations, and governance in regulated industries - healthcare experience strongly preferred
• Strong understanding of CI/CD, infrastructure-as-code, and automation tools such as GitHub Actions, Azure DevOps, or equivalent technologies
• Experience integrating AI and machine learning capabilities to streamline data workflows and enhance analytical insights

We are seeking an Engineering Manager (Data Warehouse Engineering) with at least seven (7) years of progressive experience in data engineering or data warehouse architecture, including technical leadership in complex, regulated environments. The ideal candidate brings deep expertise in Databricks and Azure, along with a strong foundation in DevSecOps, automation, and secure, scalable data platforms. If you’re ready to lead hands-on architecture, mentor high-performing engineers, and build the modern data foundation that powers care for vulnerable seniors, we’d love to hear from you.

Engineering Manager (Assignment: Interoperability & API Engineering)

WelbeHealth PACE helps seniors stay in their homes and communities by providing medical care and community-based services. We believe in going the extra mile and aim to make a genuine difference in our participants’ lives. 

The Engineering Manager is a hands-on technical leader accountable for driving the delivery of production-grade APIs, integrations, and AI/ML–enabled services within the Interoperability & API Engineering team. This role mirrors the technical leadership engineering rigor serving as the technical anchor for a dedicated team while enabling broader organizational scaling. The Engineering Manager will architect solutions, mentor engineers, build proof of concepts (PoCs), enforce engineering excellence, and ensure secure, compliant, scalable, and high-performing systems aligned with healthcare and organizational standards.

This role is different because the Engineering Manager at WelbeHealth:

• Directly shapes secure, compliant, production-grade systems that power care for vulnerable seniors – this role is about being the hands-on technical anchor rather than just managing delivery
• Makes decisions that directly affect healthcare delivery, compliance, and participant outcomes – this role sits at the intersection of healthcare standards (HIPAA, PHI/PII), cross-functional partnerships, and rapid innovation

We care about our team members. That’s why we offer:

• Medical insurance coverage (Medical, Dental, Vision)
• Work/life balance - We mean it! 17 days of personal time off (PTO), 12 holidays observed annually, and 6 sick days
• 401K savings + match
• Comprehensive compensation package including base pay and bonus
• And additional benefits!

On the day-to-day, you will:

Technical Leadership & Hands-On Engineering

• Lead end-to-end architecture, development, and delivery of APIs, microservices, and integration pipelines for internal and external healthcare systems, as well as act as the senior-most engineer for the team: designing components, writing high-quality code, troubleshooting complex issues, and performing rigorous code reviews
• Build scalable, cloud-native solutions using Azure, containerized workloads (Docker/Kubernetes), and modern integration frameworks

AI, Automation & MLOps Integration

• Implement repeatable MLOps patterns for model deployment, monitoring, and lifecycle management
• Build prototype PoCs that validate new technologies, workflows, or AI-enabled automations before scaling to production

Team Leadership, Mentorship, & Execution

• Lead and mentor a team of engineers, fostering a culture of innovation, ownership, and continuous learning, as well as step in as the escalation point for technical blockers, guiding the team toward solutions

Cross-Functional Partnership

• Collaborate with Product, Architecture, Cloud, Security, and other engineering teams to define integration strategies and solution blueprints, as well as translate complex technical designs into clear communication for non-technical stakeholders

Security, Compliance & Healthcare Standards

• Ensure all development aligns with HIPAA, PHI/PII-safe engineering, and healthcare interoperability requirements, as well as apply FHIR, HL7, EDI, and related healthcare interoperability patterns where applicable

Job requirements include:

• Bachelor’s degree in relevant field; master’s degree preferred
• Minimum of eight (8) years in software engineering, with at least three (3) years in a team leader or senior engineering capacity
• Minimum of two (2) years of hands-on experience with AI/ML, Azure AI Foundry, AI Foundry agents, or related AI integration frameworks
• Strong hands-on experience with Python and/or Node.js for API engineering and data integrations; known knowledge on Microsoft Azure tools stack is a must
• Prior experience in healthcare, interoperability, or API-heavy environments is a must
• Proficiency in REST/GraphQL API design, microservices patterns, authentication/authorization (OAuth2, JWT, Entra ID), and event-driven architectures
• Familiarity with MLOps tools (Azure ML, MLflow, Databricks) and container ecosystems
• Experience with interoperability standards such as FHIR, HL7, EDI, or clinical integration workflows is highly preferred

We are seeking an Engineering Manager that ideally has successful leadership abilities, hands on with AI/ML, Azure AI foundry with prior working experience in the healthcare domain. If you’re ready to join a team that values both its participants and team members, we’d love to hear from you!

Summary:

As the Vice President, Ads Quality Engineering, you will spearhead our AIML engineering division, dedicated to leveraging data machine learning innovations, and the vanguard of AI to enhance Pinterest's ads delivery funnel. Possessing robust analytical skills, a deep understanding of machine learning and generative AI, online auction dynamics, and previous experience leading substantial engineering teams, you will push the boundaries of current AIML applications, multi-party marketplace behavior, and auction theory. Your efforts will be crucial in maximizing Pinterest's monetization opportunities.

This pivotal role grants you the autonomy to collaborate extensively across the organization, aligning interests and strategies among pinners, content creators, and advertisers in our distinct marketplace. Your leadership will be instrumental in shaping advanced ML solutions that not only define industry standards but also drive substantial business impact.

What you’ll do:

• Oversee a globally distributed  team of 200+ AI/ML engineers tasked with harnessing data-driven insights and developing solutions to bolster Pinterest’s monetization efforts.
• Provide both technical and organizational leadership to scale the team in response to evolving business demands.
• Manage and develop senior leadership within the team, including managers of managers and principal AI/ML experts, ensuring growth and continuous improvement at all levels.
• Partner closely with engineering and product leadership to shape and drive the execution of Pinterest's monetization strategy.
• Foster strong cross-functional (XFN) collaborations across multiple departments, including Sales, Business Operations, Data Engineering, and Core Services, to ensure cohesive efforts and optimal outcomes in monetization strategies.

What we’re looking for:

• An MSc or PhD degree in Economics, Statistics, Computer Science, or a related field.
• A minimum of 15 years of relevant industry experience, demonstrating a depth of technical proficiency and leadership.
• At least 10 years of experience in managerial roles, with a proven track record of effective team leadership and development.
• Exceptional cross-functional (XFN) collaboration skills and a strong capability in communication, crucial for liaising seamlessly across departments.
• A natural bridge-builder, skilled in fostering alignment and driving strategic initiatives within the engineering and product organization at Pinterest.
• Hands-on experience in designing and deploying large-scale machine learning systems, with a preference for those possessing specific expertise in the Advertising domain.
• Strong analytical abilities, underpinned by a solid foundation in mathematical and statistical models, enabling sophisticated problem-solving and innovation.

Relocation Statement:

•  This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration once or twice a week and therefore needs to be in a commutable distance from one of the following offices: Palo Alto, San Francisco, Seattle, or Los Angeles.

#LI-HYBRID

#LI-RR4

Hi, we're Oscar. We're hiring a Senior Product Manager, Authorization Services to join our Product team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

Oscar is looking for a Senior Product Manager to help transform how healthcare authorizations work—one of the most complex, costly, and frustrating parts of the payer ecosystem. Today, prior authorization creates friction across the system: members face delays in care, providers navigate administrative burden, and payers incur significant operational cost. Our mission is to fundamentally redesign this experience.

You will be part of the Authorization Services team, which is rethinking utilization management from a reactive approval process into a proactive, intelligent system that guides members to the right care—while minimizing or eliminating the need for manual authorization altogether.

This is a high-impact, high-visibility role at the center of Oscar’s next phase of innovation—and one of the highest-leverage opportunities at Oscar to apply AI to core healthcare workflows. You’ll build and scale decisioning systems (e.g., auto-approvals, intelligent routing, proactive guidance) that improve member and provider experience and drive meaningful cost efficiency. For PMs looking to develop as AI-first product leaders, this is a unique opportunity to work on high-stakes applications of AI in healthcare.

You will report into a Staff Product Manager.

Work Location:

This position is based in our Los Angeles (Marina del Rey) office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency:

The base pay for this role is: $163,944.00 - $215,176.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.

Responsibilities:

• Develop product strategy: Define the vision and roadmap for Authorization Services, identifying opportunities to improve member experience, reduce provider burden, and drive payer efficiency.
• Lead discovery: Partner with Operations, Clinical, and Provider teams to deeply understand user needs, identify high-impact problems, and validate solutions.
• Execute development: Work closely with Engineering, Design, and Data Science to build and launch high-quality, scalable products, including AI-driven decisioning systems.
• Drive cross-functional collaboration: Collaborate with Operations, Legal, Compliance, and external partners to ensure solutions are operationally viable, compliant, and effectively delivered.
• Measure and iterate: Define success metrics (e.g., auto-approval rate, turnaround time, operational efficiency), generate insights with Data partners, and continuously refine the product strategy.
• Shape the future of the platform: Contribute to how AI and decisioning systems are applied across Oscar’s core insurance workflows.
• Compliance with all applicable laws and regulations. 
• Other duties as assigned. 

Requirements:

• 6+ years of experience collaborating cross-functionally among engineers, designers, operations experts, and others in a Product Management or Product Management-adjacent role.
• 4+ years of experience in driving rigorous prioritization processes.
• 4+ years of experience with tech systems and understanding basic technology infrastructure such as backend services, database relationships, and leveraging database tools such as SQL.
• 2+ years of experience leading complex, cross-domain initiatives.
• 2+ years of experience root-causing ambiguous problems, building roadmaps towards a solution, and successfully executing against that roadmap.
• Compliance with all applicable laws and regulations. 
• Other duties as assigned. 

Bonus points:

• Technical background or experience working on complex, technical systems.
• Experience in healthcare, particularly payer or provider workflows.
• Experience building or scaling AI/ML-driven products.