Job's Mission:

As a Software Quality Assurance Engineer at ASM, you will ensure the reliability and effectiveness of our software that drives cutting-edge semiconductor processing equipment. You’ll work on testing and qualifying software, streamlining QA processes to align with CI/CD development, and collaborating with talented global teams. Your contributions will directly impact the functionality and performance of advanced hardware in the semiconductor industry.

What you will be working on:

• Design, develop, test, deploy, maintain, document, and improve software test suites.
• Perform both manual and automated testing in simulation environments and on physical semiconductor manufacturing equipment.
• Execute and analyze the functionality of engineering designs compared to intended outcomes, providing valuable feedback.
• Automate, streamline, and maintain QA processes to integrate seamlessly with CI/CD development workflows.
• Develop and implement quality standards, methods, and procedures to enhance existing business processes.
• Work closely with Process Engineering teams to test systems, validate engineering designs, and identify quality improvements.
• Create and manage tests plans and test cases, ensuring thorough validation of software enhancements and defect fixes.
• Gain an understanding of ASM system operations, including mechanical, electrical, and software functionality.
• Document testing procedures and feedback to ensure quality and consistency across projects.

What we are looking for:

• Bachelor’s + 5 years of experience, Master's +3 years OR PhD + 2 years of experience. Degree in Computer Science, Computer Engineering, or a related field.
• Proficiency in programming languages such as Python, C++, or C#.
• Experience with system quality assurance or engineering for complex electromechanical equipment with integrated software controls.
• Strong written and verbal communication skills for interacting with senior leadership and stakeholders.
• Willingness to travel up to 10% of the time.

What sets you apart

• Familiarity with tools like Jira, Confluence, Git, Test Complete, or TestRail.
• Experience in software configuration management or versioning in a software development environment.
• Knowledge of DevOps and CI/CD pipeline setup.

Academic Urology & Urogynecology of Arizona (AUUA) is seeking a Board Certified/Board Eligible Urologist to join our busy, hospital-focused practice in the greater Phoenix area. This position is ideal for a highly motivated physician who enjoys inpatient urology, complex cases, and working across multiple hospitals in a fast-growing metro ranked as the 5th largest city in the United States.​

Position Highlights

• Inpatient-only, urology hospitalist role with optional clinic/outpatient opportunities if desired.​

• 8 or more (up to 26) weekend call shifts per year (Friday 1:00 p.m. – Monday 8:00 a.m.).

• Coverage of approximately 3–7 hospitals per weekend, supported by 1–2 APPs and robust clinical staff.​

• All licensing and credentialing fees fully covered by the practice.

About Academic Urology & Urogynecology of Arizona

Founded in 2008, AUUA is a regional leader in advanced urologic and urogynecology care, offering state-of-the-art treatments for conditions of the prostate, bladder, kidneys, and pelvic floor. Our fellowship-trained specialists manage complex problems including vaginal prolapse and prostate cancer, utilizing minimally invasive and robotic techniques to optimize outcomes and quality of life.​

The practice is known as a destination for referring physicians and patients in and around Phoenix, particularly for:

• Robotic surgery (prostate and kidney cancer, sacrocolpopexy)

• Advanced therapies for incontinence, BPH, and erectile dysfunction

Clinical Team & Services

You will join a large, collegial group that includes:

• Urology: Jeffrey Stern MD FACS, Aaron LaTowsky MD, David Kaplan MD, Chandan Kundavaram MD, John Mai MD, Amy Schlaifer MD, Joshua Jones MD, Oliver Ko MD

• Urogynecology: Jennifer Klauschie MD, Keri Wong MD, Hemikaa Devikumar MD, Christina Rogers DO

• 12+ Advanced Practice Providers supporting inpatient and outpatient care

Areas of expertise include, but are not limited to:

• Prostate cancer, Da Vinci robotic surgery, GreenLight laser, vasectomy

• Incontinence and female vaginal prolapse

• Erectile dysfunction

• Laparoscopic nephrectomy

• ThermiVa, Rezum, Urolift and other advanced BPH/pelvic health therapies​

Role Expectations

The Urology Hospitalist will:

• Provide inpatient weekend coverage and round on hospitalized urology patients.​

• See post-operative patients, manage inpatient consults, and perform urologic surgeries/procedures.​

• Collaborate closely with APPs and the broader AUUA team to deliver high-quality, evidence-based care.​

Clinic/outpatient sessions can be incorporated based on interest and group needs.

Candidate Profile

• Board Certified or Board Eligible in Urology

• Open to new graduates and experienced physicians

• AMG or IMG candidates welcome

• Interest in contemporary, technology-forward urologic care and complex inpatient management

If you are looking to practice inpatient urology in a high-growth market, with strong APP support and the backing of a large, specialized group, AUUA would welcome a conversation about this opportunity.

#LI-KG1

Your Impact

If you love to get close to your users to understand and solve their problems quickly, this is the place for you. If you thrive on working with other teams to drive solutions quickly on a brand-new product, this is the challenge for you. If you are interested in supporting a mission critical product used to save lives, this is the product for you.

Axon is seeking a high-energy, experienced Software Support Engineer with expertise in cloud solutions. This individual will play an instrumental role in supporting critical escalated issues and customer requests. We need a self-starter who excels in a high-paced, evangelistic startup environment, focusing on law enforcement, thriving on resolving software issues, and building strong customer relationships.

What You’ll Do
Reports to: Manager, Technical Support

• Work closely with Law Enforcement customers to ensure a stellar experience with Axon products and services
• Provide front line support to Axon software customers while logging detailed notes on each customer interaction
• Collaborate with customers to determine the urgency of tickets/requests and identify their priority across engineering teams.
• Research, troubleshoot, diagnose customer issues and requests across all a variety of products and systems.
• Follow up with clients to ensure their systems are fully functional after troubleshooting
• Log & provide detailed notes on each customer interaction
• Develop knowledge base articles on top issues
• Participate in an on-call rotation for outage escalations
• Provide back-up support to other Axon Support teams and colleagues

What You Bring

• 3+ years of support experience for cloud-based products
• Track record of completing goals and driving initiatives to completion
• Experience working within the Law Enforcement/Public Safety space
• Forward Thinking and Task Driven
• Experience solving complex technical problems and leading support related projects
• Strong communication skills and the ability to communicate to both technical and non-technical customers/colleagues.
• Experience working with applications like JSON schemas, GitHub, python, VS Code, Azure Data Studio, SSMS.
• Ability to work independently with substantial latitude for action and decision while maintaining focus on achieving outcomes.
• Must pass a Criminal Justice Information Services (CJIS) background check and maintain confidential and highly sensitive information

Benefits that Benefit You

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

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

Engineer, Software Support

At ASM, our Software Engineering teams works on delivering software that has immediate, tangible results visible in the operation of semiconductor processing equipment hardware. The hardware includes robotics, gas valves, temperature controllers and other hardware.  

As a Software Support Engineer, you will make an impact by investigating, recreating, and troubleshooting software issues to resolution as reported by our customers. 

Responsibilities:

• Gather information to investigate the issue, reproduce it, determine the root cause, and recommend corrective actions. 
• Troubleshoot and resolve software issues, including embedded software for control systems.  Able to triage mechanical, electrical, and software bugs. 
• Responsible for managing escalation calls with field support engineers 
• Create bug reports for the developer to use when fixing the bug. 
• Work with QA to add replicated bugs to the regression. 
• Travel to customer sites to support installations, training, and troubleshooting of ASM products. 
• Talking to the account team and GPS group (not directly with the customer) when investigating reported issues. 
• The team will handle all issues until they are ready to send to the developer.  

Minimum Qualifications 

• BS+ 4 years experience or MS+ in Computer Science, Computer Engineering, or a related field. 
• Ability to read code and diagnose issues.  
• Software development or test (QA) experience. 
• Ability to travel 10-25% domestic and international.

Preferred Qualifications 

• Preferred expertise in C/C++, C#, Python, Gitlab/Github.
• Experience with semiconductor equipment preferred 
• Experience working with two or more of the following is preferred: software for machine control, Semiconductor Factory Automation, Multi-threaded applications, real-time software, device drivers, or other interrupt-driven software 

Senior Engineer, Software Support

At ASM, our Software Engineering teams works on delivering software that has immediate, tangible results visible in the operation of semiconductor processing equipment hardware. The hardware includes robotics, gas valves, temperature controllers and other hardware.  

As a Senior Software Support Engineer, you will make an impact by investigating, recreating, and troubleshooting software issues to resolution as reported by our customers. 

Responsibilities:

• Gather information to investigate the issue, reproduce it, determine the root cause, and recommend corrective actions. 
• Troubleshoot and resolve software issues, including embedded software for control systems.  Able to triage mechanical, electrical, and software bugs. 
• Responsible for managing escalation calls with field support engineers 
• Create bug reports for the developer to use when fixing the bug. 
• Work with QA to add replicated bugs to the regression. 
• Travel to customer sites to support installations, training, and troubleshooting of ASM products. 
• Talking to the account team and GPS group (not directly with the customer) when investigating reported issues. 
• The team will handle all issues until they are ready to send to the developer.  

Minimum Qualifications 

• BS+ 8 years or MS+ 4 years in Computer Science, Computer Engineering, or a related field. 
• Ability to read code and diagnose issues.  
• Software development or test (QA) experience. 
• Ability to travel 10-25% domestic and international.

Preferred Qualifications 

• Preferred expertise in C/C++, C#, Python, Gitlab/Github.
• Experience with semiconductor equipment preferred 
• Experience working with two or more of the following is preferred: software for machine control, Semiconductor Factory Automation, Multi-threaded applications, real-time software, device drivers, or other interrupt-driven software 

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

About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Department: Enterprise Infrastructure

Within Operations, the Enterprise Infrastructure team owns the internal technology ecosystem that supports Gemini's offices and employees. The team operates as a unified engineering and service organization, combining front-line support excellence with DevOps-driven platform engineering under a single mandate.

Our enterprise technology strategy fuels business growth through an engineering-first approach by delivering a modern, secure, and scalable foundation for seamless collaboration, efficient operations, and future-ready innovation. By emphasizing operational excellence, continuous improvement of existing systems, and strategic automation – including Infrastructure as Code, GitOps workflows, and AI-augmented operations – we position IT as an engineering discipline whose impact extends across the department and the broader organization.

The Role: Staff Enterprise Infrastructure Engineer

As a Staff Enterprise Infrastructure Engineer, you will serve as a technical leader and force multiplier across the full breadth of Enterprise Infrastructure – from end-user support excellence to backend platform engineering and automation.

You will apply DevOps methodologies to drive the design, implementation, and continuous improvement of the systems that underpin Gemini's global workforce. This includes owning strategies and execution for endpoint management, user identity and access lifecycle, internal tooling, Infrastructure as Code, CI/CD pipelines, and AI-augmented operational workflows. You will define and track key metrics, communicate trends and capacity insights to leadership, and make strategic decisions about tooling adoption, vendor relationships, and architectural direction with an awareness of how these decisions impact teams and stakeholders beyond Enterprise Infrastructure.

A core expectation of this role is that you approach problems with an eye toward scalability and sustainability, building systems that reduce manual toil, improve reliability, and position the team for rapid growth. You are expected to critically evaluate existing systems and processes, challenging assumptions, identifying inefficiencies, and driving improvements to legacy workflows with the same rigor applied to new builds. You will act as a mentor and escalation point for others, fostering a culture of engineering rigor within support operations and a culture of user empathy within engineering work.

The ideal candidate has deep experience across both operational support and DevOps-driven infrastructure, thrives in ambiguity, and is energized by the challenge of consolidating legacy tooling into modern, automated, GitOps-driven workflows. They bring a pragmatic approach to adopting emerging capabilities – including agentic AI – and are motivated by building solutions that scale beyond their immediate team to benefit the broader organization.

This role is required to be in person 5 days per week at our Tempe, AZ office.

Responsibilities:

• Office & Endpoint Operations

  • Manage hardware inventory, secure storage, and physical IT infrastructure across global office locations.
  • Administer and support endpoint fleets including provisioning, patch management, and peripheral troubleshooting.
  • Support office A/V systems, network connectivity, and conference room technology.

• Service Operations & Delivery

  • Resolve service and incident requests with quality, speed, and thorough documentation.
  • Manage user identity and access lifecycle – including SSO, SCIM, MFA, and security key administration.
  • Maintain and improve SaaS platform configurations, vendor relationships, and internal support workflows.
  • Track operational metrics, surface trends, and communicate capacity insights to leadership.

• Platform Engineering & Automation

  • Build and maintain infrastructure using IaC, configuration management, and GitOps-driven deployment workflows.
  • Develop internal tools and integrations that automate fleet operations, user lifecycle management, and cross-service orchestrations
  • Design and operate CI/CD pipelines for infrastructure changes, tooling, and endpoint configurations.
  • Lead endpoint management platform migrations, including policy authoring, GitOps-managed profiles, and fleet-wide telemetry.
  • Design and implement agentic AI workflows to augment IT operations, applying context engineering principles to enable reliable, bounded automation and validations.

Minimum Qualifications:

• 8+ years of progressive experience in enterprise IT, infrastructure engineering, or a DevOps-focused support capacity.
• Strong proficiency with macOS fleet management at scale using MDM platforms.
• Hands-on experience with Infrastructure as Code and configuration management tooling.
• Proficiency in at least two of the following languages: Go, Python, Swift – with demonstrated ability to build production-grade internal tooling and API integrations.
• Deep experience with identity and access management platforms (Okta, Google Workspace, Active Directory), including SSO, SCIM, Device Assurance Policies, MFA, and user lifecycle automation.
• Working knowledge of CI/CD pipelines (GitHub Actions or equivalent) and Git-based development workflows.
• Solid understanding of networking fundamentals.
• Experience with AWS cloud services in a production or internal-tooling context.
• Proven ability to communicate complex technical concepts to both technical and non-technical audiences, including leadership.
• Experience mentoring junior engineers and contributing to team culture, hiring, and process improvement.

Preferred Qualifications:

• Experience in fintech, crypto, or regulated financial services environments.
• Experience with FleetDM and osquery for endpoint telemetry, compliance, and GitOps-managed device configuration.
• Experience designing agentic AI harnesses and workflows or applying context engineering techniques to augment operational processes (e.g., Claude Code, OpenCode, LLM-driven automation).
• Proficiency in Go, Python, and/or Swift for internal tooling development.
• Hands-on experience deploying reliable tools via Containerization and Orchestration (Docker, Kubernetes/EKS).
• Experience managing 1,000+ user accounts across a globally distributed workforce.
• Working knowledge of the Apple MDM protocol and open-source macOS tooling (Munki, AutoPkg, SaltStack, etc.).
• Experience with A/V systems administration (Crestron, Logitech, Chromebox for Meetings).
• SaaS Administration experience (Anthropic, Atlassian, Google Workspace, Linear, Okta, & more), service management workflows, and SLA reporting.

• Competitive starting pay
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-AA1

What You'll Do 

1. Design and implement containerized microservices within an AWS environment (Lambda, ECS)
2. Lead the design of relational database schemas (Postgres), prioritizing query performance engineering and indexing strategies to handle large, readily available SDA datasets
3. Own the end-to-end feature development and integration of streaming and batch ETL pipelines
4. Familiarity with deploying ML models in production and adding instrumentation to monitor model performance
5. Help with architecture design and defining technical direction
6. Mentor and help develop other less experienced engineers 

What We Value:

1. Strong ownership mentality – you’ll lead technical execution and ensure your features make it from development to production
2. Accountable – The team knows they’ll be able to depend on you
3. Curiosity – We are solving the hardest problems in space and want to hear everyone’s voice to ensure we’re always innovating
4. Leadership – You will be on a small team and will be empowered to help grow the culture and influence technical direction 

Your Ideal Background:

Required:

1. 5+ years of full-time software engineering experience
2. Experience working in the defense/space industry
3. Comfortable working in a small, fast-paced Agile environment
4. Strong communication skills and ability to execute under uncertainty
5. Familiarity with one or more of the following: Machine Learning, SDA, Backend Development
6. Proficiency in Linux, Python, SQL, Docker, and AWS
7. Eligible to obtain and maintain an active U.S. security clearance 

Nice to Have: 

1. Experience instrumenting microservices with Observability (we use the LGTM stack)
2. Comfortable leading algorithm development across different SDA data modalities (EO, Orbital, RF, etc.) to solve problems such as anomaly detection, pattern-of-life modeling, or maneuver detection 

Compensation and Benefits:  

Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.  The anticipated salary range for this role is $150,000 - $190,000 annually.

Base salary is just one part of your total rewards package at Katalyst. You will also be eligible for long-term incentives, in the form of the Employee Stock Option and Equity Plan, as well as a relocation bonus and other discretionary bonuses. You will also receive access to comprehensive medical, vision, and dental coverage, and unlimited Paid Time Off.

At Katalyst our work on projects involving the U.S. Department of Defense requires adherence to International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130, which requires compliance with U.S. export laws before allowing employees to perform certain positions. Currently, our available roles necessitate access to ITAR-controlled information, and as a result, Katalyst would have to ensure any non-US person is authorized access to ITAR information before the commencement of employment. We are committed to equal employment opportunities and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

*remote work will require an exception from the hiring team

Location

This role requires working from our downtown Toronto office 4 days/week (Mon, Tues, Thurs, Fri). Candidates must be based within a 50-mile commuting distance of the office.

About the Role

At Opendoor, AI isn’t a side project - it’s how we work. Across the company, teams default to AI to solve problems, ship faster, and remove friction from everything we do. You will help define the future of how we work by building AI powered workflows, automation, and experiences that drive leverage across Finance — spanning month-end close, SEC Reporting, FP&A, Technical Accounting, Tax, Procurement, Accounts Payable, and Payroll. This is high agency work in high ambiguity - turning messy problems into clean solutions, prototyping fast, and shipping.

You'll make systems design and tooling decisions that affect how our Finance operations scale – so we need people who think critically about what and why they build, the impact it will have on our team, and how to measure success. 

We're looking for AI-native builders who know how to automate complex operational workflows. The accounting and finance domain knowledge can be learned — what matters most is that you're wired to build, that you default to AI in how you approach problems, and that you can map messy business processes into clean, automated systems. 

Why Join Us

• Build AI automation for our Financial Operations from the ground up
• Work on cutting-edge systems directly impacting key Finance processes in a public company 
• Collaborate with talented engineers and finance team members
• Access to enterprise AI tools — Claude Code, Cursor, and LLM APIs. We invest heavily in AI infrastructure so you can build and experiment.

What You'll Do

This is a hands-on individual contributor role. You will design, build, and ship automations — not just evaluate tools or write strategy decks.

• Turn complex Accounting and Finance problems into clear system designs, experiments, and implementation plans
• Build and maintain AI-powered automation that improves operational efficiency, accuracy, and scale across Finance functions
• Automate workflows (journal entries, reconciliations, flux analysis) using SQL, Python, and agentic AI
• Maintain clean, auditable data throughout automated workflows, with dashboards and controls that support both operational and compliance needs
• Partner with the internal SOX team and external auditors to ensure automated processes meet compliance standards and are well-documented
• Build and scale AI literacy across the Finance team through runbooks, documentation, best practices, and hands-on training 

What You'll Bring

• At least 5+ years of work experience building automation, operational workflows, or data systems in any industry. 
• Familiarity with LLM deployment, context engineering and comfortable writing SQL or Python code
• Understanding of machine learning lifecycle concepts: training, evaluation, deployment, monitoring

Systems Thinking: You understand how data flows through operational systems. You can look at a business process, identify the inputs, outputs, dependencies, and failure modes, and design automation around it.

System Design: You take complex, messy problems and reduce them to simple, durable architecture. 

Communication: Articulate problems clearly to both technical and non-technical audiences. You write clean documentation, build dashboards that tell a story, and can walk a stakeholder through your design rationale.

AI Alchemy: You have high agency and a tinkering mindset. You default to experimenting, running variations with new tools and methods - LLMs, automation platforms, coding assistants until you can transmute data into high quality results. You're comfortable writing SQL code, working with APIs, and stitching tools together to ship solutions fast.

Impact Driven: You optimize for impact over novelty, choosing the right tools for the job and ensure performance, scalability and resiliency.

Bonus if you have:

• Experience in Accounting or Finance 
• Comfort working in regulated or compliance-sensitive environments

Tools and Technologies

You'll work across a range of tools and we expect this list to evolve. Ideal candidates will have experience with the following tech stack:

• AI coding assistants: Claude Code, Cursor, or similar 
• Workflow automation: Gumloop or similar platforms
• MCP integrations
• Agentic AI frameworks or building automation flows 
• Data / ERP platforms: Snowflake, NetSuite, Ramp or similar 

Note: Opendoor provides enterprise-level access to all AI tools listed above. Our engineers currently consume billions of AI tokens per month across the company and are not constrained by token limits or personal account restrictions.

Compensation

Our compensation plan consists of a base salary and Opendoor equity  in addition to a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

 #LI-DM

#LI-Onsite

Hi, we're Oscar. We're hiring a to join our Clinical Data Analytics 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:

You will partner closely across the organization to identify and manage inefficiencies proactively in the business. You will support business units in scoping, analyzing and monitoring performance of key financial and utilization metrics in service of company goals. You will independently drives the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies and results. You will be called upon to speak to prepared analysis both internally and externally.

You will report into the Senior Manager, Clinical Analytics.

Work Location: This position is based in our Tempe, Arizona 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: $91,659 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.

Responsibilities:

• Responsible for owning insights generation and follow-up for a major business unit, serving as the first point of contract for Sr. Managers and Associate Directors
• Analyze data to support business teams in making better informed, data-driven decisions
• Use data to tell a story that non-technical colleagues will be able to understand, including packaging and presenting findings in a clear, concise and compelling manner
• Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our user's needs evolve
• Identify opportunities to create models and tools that produce relevant insights to identify healthcare inefficiencies and generate insights to remove inefficiencies
• Collaborate across the organization, including owning stakeholder relationships with managers & senior managers , to identify actions to achieve improvements and monitor initiative impact
• Support other strategic projects as assigned to meet business needs
• Compliance with all applicable laws and regulations
• Other duties as assigned

Requirements:

• 3+ years of technical work experience using analytical tools and writing analytical reports
• 3+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
• Strong communication skills, verbal and written, around business reporting impact and requirements, as demonstrated by 5+ examples / projects of presenting analysis to Leadership (Director+)
• 3+ years experience in SQL, with the ability to filter, aggregate, and build CTEs, or proficiency in R or Python, including experience with Pandas, for loops, and statistical tests
• 3+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools
• 3+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
• 1+ years experience in healthcare, consulting, finance or the insurance industry

Bonus points:

• 2+ years experience in preparing healthcare analytics and reporting
• 2+ years experience managing value-based contracts at a payer or a provider organization (ACO, CIN, MSO etc.)
• Exposure to healthcare contract negotiations, risk adjustment, ACA marketplace, quality of care, and/or population health experience

Your Impact

Axon Enterprise (Nasdaq: AXON) is seeking a Data Science Principal within the Office of the Chief Accounting Officer (CAO). This is a hands-on enabler role for a technically exceptional professional with deep finance and accounting domain expertise. Your primary mission is to ensure that Axon’s AI builders, process owners, decision-makers, and auditors can operate with clean, trusted, well-governed, and audit-ready data. You will spend roughly half your time building data analytics tools and pipelines—leveraging AI as a development accelerator—to support complex, large-scale projects including mergers and acquisitions (M&A) integration, enterprise resource planning (ERP) system deployments, upstream data remediation, and SOX compliance initiatives.

The other half is strategic: partnering across Controllership, Finance Operations, Financial Planning and Analysis (FP&A), Internal Audit, and Technology to establish the data foundation that makes AI, automation, and audit readiness possible. You will use AI-assisted development tools (code generation, copilots, large language models) as part of your everyday build process.

What You’ll Do

Hands-On Building & Upstream Data Cleanliness (~50%)

• Design and develop data analytics tools, automated validation frameworks, and dashboards that give Finance Operations and Controllership real-time visibility into data health across enterprise systems. Use AI to rapidly prototype, test, and deploy these solutions.

• Drive upstream data hygiene cross-functionally: partner with source-system owners in Revenue Operations, Procurement, Human Resources, and Engineering to fix data issues where they originate, not after they propagate.

• Own data dictionaries, lineage documentation, and quality scorecards for critical controllership data assets. Establish and enforce master data management (MDM) standards.

• Partner with the Chief Information Officer (CIO) and Information Technology (IT) on integration strategy, ensuring seamless data flows between ERP, sub-ledgers, and the enterprise data platform. Support Snowflake data warehouse deployment.

Mergers & Acquisitions Data Integration

• Lead data workstreams for M&A transactions end-to-end: perform data due diligence on target companies, assess data quality risks, and build integration playbooks for onboarding acquired-company data into Axon’s enterprise platform.

• Design and execute data mapping, cleansing, and migration plans for post-acquisition integration—ensuring acquired entities are reporting on clean, consolidated data within defined timelines.

• For interim stage prior to M&A integration, build, own, and operate extract-transform-load (ETL) and extract-load-transform (ELT) pipelines that remediate data quality issues at the source—before data reaches downstream AI models, reporting, or analytics. Leverage AI-assisted development tools (copilots, code generation, large language models) to accelerate pipeline development and iteration.

• Build repeatable M&A controllership data integration frameworks—using AI to automate data profiling, matching, and anomaly detection—that scale as Axon’s acquisition pace accelerates.

Financial Controls, SOX & Audit Readiness

• Co-design data pipelines and analytics with auditability built in—traceable lineage, complete audit trails, and evidence that holds up under external audit.

• Build or collaborate with process owners to build close-support tools (GL-to-sub-ledger, intercompany, journal entries) that reduce manual effort and strengthen control evidence.

Enabling AI Builders & Process Owners

• Serve as the data enablement partner to Axon’s Controllership AI team and Controllership process owners—ensuring they have access to clean, well-structured, governed datasets for machine learning (ML), automation, and large language model (LLM) initiatives.

• Collaborate with AI builders to define data requirements, validate input data quality, and create feedback loops that continuously improve data upstream of AI/ML workflows.

• Create self-service analytics capabilities that enable FP&A, Tax, Treasury, and Controllership teams to access trustworthy data without bottlenecks.

Partnership & Cross-Functional Leadership

• Serve as a trusted partner to the CIO, shaping technology roadmaps, enterprise architecture, and system integration decisions. Act as a strong ally to Controllership and Finance Operations.

• Engage stakeholders across FP&A, Tax, Treasury, Engineering, Product, Revenue Operations, and Legal to manage cross-functional data projects end-to-end. Influence without authority across global, distributed teams.

What You Bring

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or a related field with 8+ years in data science, data engineering, or analytics.

• Hands-on builder: strong, current proficiency with Structured Query Language (SQL) and Python—you write code, build pipelines, and ship tools, not just direct others. Comfortable using AI-assisted development tools to multiply your output.

• Deep experience with upstream data quality remediation, master data management, and data governance operationalization in a finance or accounting environment.

• Demonstrated M&A data integration experience: due diligence, data mapping, migration, and post-acquisition consolidation.

• Ability to build senior-level relationships, lead cross-functional projects end-to-end, and influence without direct authority across global teams.

• Working knowledge of US GAAP accounting processes (R2R, O2C, P2P, revenue recognition) or FP&A processes (budgeting, forecasting, variance analysis)—you understand the business logic, not just the data.

• Practical familiarity with SOX compliance and IT General Controls (ITGCs) sufficient to design audit-ready data pipelines, maintain traceable audit trails, and support internal audit teams and external auditors with data extracts, population listings, and control evidence—without needing to own the SOX program or control design.

Preferred Qualifications:

• Snowflake or comparable cloud data warehouse experience. Business intelligence (BI) platforms such as Sigma.

• High-growth, publicly traded technology company or digital transformation environment.

• Experience enabling AI/ML teams with clean data pipelines. Demonstrated use of AI code-generation in day-to-day development. Supervisory experience leading data teams.

• M&A integration at a company with an active acquisition strategy. Public safety, defense, or regulated industry background.

• Experience with audit management or financial close platforms/ERP and their data integration requirements; familiarity with how these tools consume and produce audit evidence.

Benefits that Benefit You

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

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

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission-critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real-time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting-edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

What You'll Be Doing

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed

Data Pipeline Development & Orchestration

• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
• Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross-functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real-time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role-based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You'll Bring

• Experience: 4+ years of hands-on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role-based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem-Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2-3 days in office); highly autonomous and self-directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end-to-end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

Your Impact

As a Controllership AI & Automation Intern, you will support targeted AI, analytics, and automation initiatives that improve the speed, quality, and scalability of Controllership processes. You'll be embedded on a scoped workstream for approximately 3 months — partnering with Accounting, IT/Engineering, and other Finance stakeholders to deliver real, measurable results.

This is a hands-on builder role. You'll join meetings with process owners, help map current-state workflows and pain points, contribute to defining requirements, and use AI and automation tools to develop solutions. Depending on the initiative, you may work alongside IT/data teams, enable process owners to build solutions themselves, or get directly hands-on building them with us.

What You'll Do

Reports to: Director, NPI and AI Lead, Chief of Staff

• Support the identification and scoping of AI/automation opportunities within a defined Controllership process area (e.g., Accounting Operations, Revenue Accounting, Financial Reporting, Tax, or Internal Audit)
• Participate in stakeholder meetings to understand current-state workflows, pain points, and requirements — and help translate them into solution options
• Help build documentation that supports SOX/audit readiness: process flows, control mapping, test evidence, and usage guidelines
• Assist with testing, UAT coordination, and rollout support for solutions developed during the engagement
• Present findings, progress, and recommendations to Controllership leadership at the close of your engagement

What Success Looks Like

• You deliver a scoped, working solution (or meaningfully advance one) within your ~3-month engagement — something the team can build on or put into production
• You reduce manual effort or cycle time in at least one targeted workflow, with clear before/after documentation
• Your work is auditable and control-safe
• Process owners and teammates feel equipped to sustain or extend what you built

What You Bring

• Currently pursuing a degree in Finance, Accounting, Computer Science, Data Science, Information Systems, or a related field
• Familiarity with financial accounting concepts (e.g., reconciliations, journal entries, close process, Order-to-Cash or Record-to-Report) and/or hands-on experience with data or AI tools — ideally both
• Comfortable working with structured data; experience with SQL, Python, or Excel is a plus
• Exposure to or genuine curiosity about AI tooling (e.g., Claude, ChatGPT, Copilot, Cursor) and how it can be applied to finance workflows
• Strong communicator who can translate between Finance stakeholders and technical teams
• Able to gather context quickly, work independently within a defined scope, and deliver within a fixed timeline

Bonus Points

• Hands-on experience with LLMs, prompt engineering, or AI workflow tools
• Exposure to ERP or financial close systems (NetSuite, SAP, D365, Oracle, or similar)
• Experience with business intelligence or automation tools (e.g., Power Query, Alteryx, Power Automate)
• Prior internship experience in finance, accounting, or a data/engineering role

Program Details

• Duration: ~3 months
• Engagement type: Project-based, scoped to a specific Controllership AI initiative
• Team: Controllership / Finance, reporting to the Director, Chief of Staff (Controllership)

Supervisor Engineer (team lead), Software Support

At ASM, our Software Engineering teams works on delivering software that has immediate, tangible results visible in the operation of semiconductor processing equipment hardware. The hardware includes robotics, gas valves, temperature controllers and other hardware.  

As a Supervisor Engineer, Software Support, you will make an impact by investigating, recreating, and troubleshooting software issues to resolution as reported by our customers. 

Responsibilities:

• Oversee the day-to-day operations of the support team, including task assignment, workload distribution, and monitoring punctuality and backlog management.
• Act as the final point of contact for complex or high-priority customer escalations, ensuring timely and effective resolution.
• Provide coaching and professional development for staff, identifying training needs and creating individualized development plans.
• Gather information to investigate the issue, reproduce it, determine the root cause, and recommend corrective actions. 
• Guide your team members to create bug reports for the developer to use when fixing the bug. 
• Travel to customer sites to support installations, training, and troubleshooting of ASM products. 
• Talking to the account team and GPS group (not directly with the customer) when investigating reported issues. 

Minimum Qualifications 

• BS+ 8 years or MS+ 4 years in Computer Science, Computer Engineering, or a related field. 
• Proven ability to motivate, inspire, and foster a collaborative team culture.
• Strong troubleshooting skills in hardware and software, with familiarity data structure, networking, algorithm and modern operating systems (Windows).
• Software development or test (QA) experience. 
• Ability to travel 10-25% domestic and international.

Preferred Qualifications 

• Preferred expertise in C++, C#, Python, Gitlab\Github.  
• Experience with semiconductor equipment preferred 
• Experience working with two or more of the following is preferred: software for machine control, Semiconductor Factory Automation, Multi-threaded applications, real-time software, device drivers, or other interrupt-driven software 

What The Role Is

The Senior Business Reporting Analyst of Credit and Energy Risk will reside within the middle-office function supporting the risk management of energy marketing and trading activities across Clearway’s portfolio of renewable and conventional generation assets. This position will focus on streamlined reporting of key risk metrics to key stakeholders and on the automation/development of the Risk Team’s day-to-day energy risk, operational risk, credit risk, and enterprise risk activities. The Senior Business Reporting Analyst will ensure the management and quality of data are sound, enabling effective reports and visuals, and ensuring data analysis is intuitive and supports informed decision-making.  This role reports to the Senior Manager, Credit & Energy Risk. 

This hybrid role will be located in our Scottsdale, AZ office.

If you don’t meet 100% of the qualifications but see yourself contributing, please submit your resume.

What You'll Be Doing

• Developing and supporting the middle office function by establishing and enhancing effective processes and procedures through data automation efforts.
• Leveraging a strong baseline understanding of IT infrastructure to manage, construct, and analyze large data volumes housed (predominantly) within the Clearway ETRM but also originating from S&P, Moody’s, Clearway’s internal contract system, etc.
• Transforming large data volumes into key reports/visuals originating from Power BI, PowerPoint, and/or HEX.
• Creating and maintaining clear, concise, and illustrative dashboards that present positions and exposures for Clearway, including a) credit exposures associated with mark-to-market of energy hedges, RECs, HRCOs, and RA; b) Value at Risk; c) scenario/sensitivity analysis; d) exposure against position limits.
• Reporting credit exposures, positions, risk assessments, operational risk issues, and performance in a timely and accurate fashion to senior management and members of the Energy Risk Committee.
• Working collaboratively with Front Office and Back Office staff to achieve productive outcomes for the enterprise.
• Preparing polished, best-in-class materials for the Energy Risk Committee, Monthly Enterprise Reviews, Monthly Compliance Discussions, TQR Technology Advisory Panel Discussions, etc.
• Utilizing Clearway’s Energy Trading and Risk Management (“ETRM”) as a source for risk management and risk reporting.
• Using Artificial Intelligence (“AI”) to provide scenario-based evaluations, improve workflows, review content for accuracy, etc.

What You'll Bring

• Bachelor’s Degree in IT, economics, finance, business, or related discipline.
• 2-4 years of middle office operational experience with credit and/or market risk knowledge in an energy trading or commodity environment.
• Detail and process-oriented mindset with the ability to lead initiatives.
• Communication skills; ability to relay complex issues in a digestible, executive-level format.
• Willingness to take on a task or project proactively.

What Would Be Nice

• Direct renewable energy experience
• Knowledge of power markets (ERCOT, CAISO, PJM)
• CPA/CFA designation (or progress towards)
• Advanced Excel skills, Power BI and/or HEX reporting, Python programming, SQL automation

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

Your Impact

This is a pivotal client-facing role offering significant opportunities for leadership and professional development in a rapidly growing business environment. You will collaborate closely with clients and internal project teams to architect and deliver robust data conversion and integration solutions that provide substantial value to our public safety partners. This position involves implementing and refining processes to guarantee quality, enhance productivity, and ensure client satisfaction. Operating with a high degree of autonomy, the Solution Architect, Data Conversion is responsible for achieving superior customer satisfaction through the timely and effective delivery of technical services, including schema transformation, technical project scoping, and comprehensive system analysis.

What You’ll Do

Travel: Ability to travel up to 30%

• Serve as a key client-facing technical expert within the Software Solutions Delivery Team.
• Collaborate with a multidisciplinary team of networking and software professionals to implement Axon technology for public safety clients.
• Manage the full lifecycle of technical projects, both remotely and on-site at client locations.
• Engage effectively with technical and non-technical leadership within public safety agencies to communicate project progress, risks, and outcomes.
• Partner with the account management team to ensure client needs are comprehensively addressed and expectations are exceeded.
• Uphold and champion the highest standards of service delivery for all Axon software deployments.
• Identify and assess data conversion and integration requirements and opportunities when migrating from agency legacy systems (cloud and/or on-premise) to Axon’s product suite.
• Design, document, and recommend comprehensive data conversion plans, methodologies, and validation strategies tailored to achieve critical agency objectives.
• Work closely with product management, sales, software engineering teams, and agency technical stakeholders to deeply understand agency goals, data landscapes, and desired program outcomes.
• Utilize and contribute to a library of data tools, ETL scripts, data validation routines, and established best practices to design and oversee the execution of complex projects.
• Leverage Artificial Intelligence (AI) tools and techniques to optimize data conversion processes, improve accuracy, and enhance overall project efficiency.

What You Bring

• Bachelor’s Degree highly preferred or equivalent work experience
• 5+ years experience in analyzing and developing technical systems and software solutions
• Hands-on experience with APIs structures and systems integration (REST, SOAP)
• Minimum basic (or Intermediate) skills in; SQL, Python, and Azure Cloud tools
• Data-mapping project experience for ETL (Extract, Transform, Load)
• Familiar with cloud technologies as well as software development packages and data management tools
• Manage technical projects remotely and at client sites
• Demonstrated system-level understanding of enterprise software systems
• Excellent written and verbal communication skills: demonstrated ability to work with all levels of technical proficiency to understand needs and communicate work
• Experience delivering enterprise software in a regulated environment (GovTech, HIPAA, FinTech, ISO, etc)
• Project Management experience and/or certifications (i.e. PMI Certifications)
• Willingness to join forces and drive company-wide initiatives across multiple departments
• Able to effectively manage multiple projects, priorities, and tasks within a dynamic environment.
• Past experience deploying and implementing a Records Management System (RMS), Computer Aided Dispatch (CAD), or both, into a public safety agencies a plus.
• Enthusiasm and commitment to AXON’s Mission, Core Values, and Program Mission

Benefits that Benefit You

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

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

About your role

We are looking for a forward-thinking Data Engineering Intern to join our team for Summer 2026. This isn't just a role about moving data from point A to point B; it’s about rethinking how those pipelines are built. You will sit at the intersection of core infrastructure and AI, building robust ETL processes while leveraging AI technologies to automate the very workflows you create.

Your mission is dual-purpose: you will support our Business Intelligence efforts and directly influence our product roadmap by turning raw data into actionable insights through advanced dashboards and automated workflows.

A Day in the Life

• Build & Orchestrate: Design, develop, and maintain ETL pipelines to ingest data into our Snowflake warehouse using Python, SQL, and Airflow.
• AI-Driven Automation: Implement AI-powered solutions to streamline engineering tasks, including:
• Automating code generation and documentation.
• Building AI-driven data quality checks and anomaly detection.
• Developing "self-healing" pipelines that can identify and alert on ingestion errors.
• Insight Generation: Use Jupyter Notebooks and Streamlit to analyze data and build internal tools that help our product team make data-driven decisions.
• Visualization: Create high-impact dashboards in Tableau that translate complex data into a clear narrative for stakeholders.
• Agile Collaboration: Participate in daily Scrum huddles, manage tasks via Jira, and work closely with product owners and QA to promote code to production.
• Cloud Infrastructure: Interact with cloud services via CLI and manage containerized environments using Docker and Kubernetes.

What you’ll need

• Academic Status: Currently pursuing an undergraduate degree with a targeted graduation date in 2026 or early 2027, or pursuing a degree in Computer Science, Data Science, or a related quantitative field.
• Programming Mastery: Expertise in Python and SQL
• Infrastructure Mindset: A strong understanding of Data Warehousing (Snowflake) and ETL orchestration (Airflow).
• DevOps Curiosity: Familiarity with CLI, Docker, and Kubernetes for managing cloud-based environments.
• Analytical Toolkit: Experience with Jupyter Notebooks, Tableau, or Streamlit.
• Problem Solver: A proactive approach to using AI/LLMs to automate repetitive tasks and improve system reliability.

The Summer "Win"

By the end of your 10-week internship, you will have designed and deployed a functional ETL pipeline that feeds into a custom Insights Dashboard. Your work won't just sit in a folder, it will be used to influence our official product roadmap.

Interview Process

• Recruiter Phone Screen
• Technical Assessment 
• Hiring Manager Interview
• Team Interview

What The Role Is

The O&M Cost Strategy Associate supports the development, analysis, and continuous improvement of Operations & Maintenance (O&M) cost models across Clearway’s renewable energy portfolio. This role focuses on building and maintaining data-driven cost insights, supporting forecasting activities, benchmarking O&M spend, and assisting cross-functional teams in evaluating operational performance and future cost trends.

The ideal candidate has a solid foundation in renewable energy operations or power generation, hands-on experience with financial or operational modeling, and knows how to communicate technical findings across a range of audiences — from engineering and procurement to finance and business development. A solid foundation in renewable energy or power generation and fluency with tools like Power BI are key. Familiarity with AI-assisted workflows is a plus.

If you're motivated by the energy transition and want a role where your analytical work directly supports one of the largest clean energy portfolios in the country, we'd love to hear from you.

*This job posting is open to Scottsdale, San Diego, Houston, Denver, and San Francisco offices*

If you don’t meet 100% of the qualifications but see yourself contributing, please submit your resume

What You'll Be Doing

• Develop and maintain bottom-up cost estimating models for wind, solar, and storage assets across all project phases (greenfield, operating, repower, and M&A).
• Use statistical and forecasting tools to model maintenance spend and equipment risk profiles.
• Collaborate with internal stakeholders (O&M, engineering, procurement, FP&A) to validate O&M cost assumptions.
• Support internal teams (business development, procurement, O&M, capital market, etc.) with data requests, cost breakdowns, and scenario analysis.
• Assist in preparing cost assumptions for annual budgeting and long-range planning processes.
• Analyze historical O&M costs to identify trends, cost drivers, and opportunities for efficiency.
• Develop and enhance Power BI dashboards to connect multiple data streams and visualize key model inputs and outputs.
• Use AI tools to automate routine data processing tasks and extracting key commercial data from contracts

What You'll Bring

• Bachelor’s degree in Engineering, Business, Finance, or other applicable fields.
• 4+ years of experience in renewable energy, power generation, or infrastructure.
• Understanding of renewable energy plant operations (solar, wind, or BESS).
• Demonstrated experience in operations support role in development of creative solutions to operating challenges.
• Excellent communication and stakeholder management skills across technical, legal, and financial disciplines.
• Strong analytical and project management capabilities; attention to detail and risk awareness.

What Would Be Nice

• Familiarity with lifecycle cost analysis and predictive maintenance modeling.
• Experience working with large datasets or forecasting tools.
• Familiarity with renewable project finance and typical counterparty and Independent Engineer requirements
• Advanced Microsoft Excel, Word and PowerPoint skills. Proficiency in data analytics tools (Power BI, Tableau, SQL, or Python).

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

Hi, we're Oscar. We're hiring a Data Analytics Associate to join our Service Operations Data Analytics 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:

You will partner closely across the organization to identify and manage inefficiencies proactively in the business. You will support business units in scoping, analyzing and monitoring performance of key financial and utilization metrics in service of company goals. You will independently drives the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies and results. You may at times be called upon to speak to prepared analysis both internally and externally.

You will report into the Manager, Data Analytics.

Work Location: This position is based in our Tempe, Arizona 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: $91,659 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.

Responsibilities:

• Responsible for owning insights generation and follow-up for a major business unit, serving as the first point of contract for Sr. Managers and Associate Directors
• Analyze data to support business teams in making better informed, data-driven decisions
• Use data to tell a story that non-technical colleagues will be able to understand, including packaging and presenting findings in a clear, concise and compelling manner
• Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our user's needs evolve
• Identify opportunities to create models and tools that produce relevant insights to identify healthcare inefficiencies and generate insights to remove inefficiencies
• Collaborate across the organization, including owning stakeholder relationships with managers & senior managers , to identify actions to achieve improvements and monitor initiative impact
• Support other strategic projects as assigned to meet business needs
• Compliance with all applicable laws and regulations
• Other duties as assigned

Requirements:

• 3+ years of technical work experience using analytical tools and writing analytical reports
• 2+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
• Strong communication skills, verbal and written, around business reporting impact and requirements, as demonstrated by 5+ examples / projects of presenting analysis to Leadership (Director+)
• 2+ years experience in SQL, with the ability to filter, aggregate, and build CTEs
• 2+ years in building robust data models
• 1+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
• 1+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools

Bonus points:

• Experience using Python or R
• 2+ years experience in healthcare or insurance industry
• Exposure to healthcare contract negotiations, risk adjustment, ACA marketplace, quality of care, and/or population health experience
• Prior experience in Member Relations or Customer Success environments.
• Building data models in dbt
• Building reports in Looker Studio Pro
• Git workflows

What The Role Is

Reporting to the Senior Director, Market Optimization & Trading, the Manager of CRR & FTR Trading is responsible for developing, executing, and optimizing Clearway’s congestion management strategies through active participation in ERCOT and CAISO’s Congestion Revenue Rights (CRR) and Day-Ahead markets and the PJM Financial Transmission Right (FTR). This role focuses on identifying, analyzing, and monetizing congestion opportunities while managing the company’s nodal risk and basis exposure across its generation portfolio.  This role will also be tasked with developing hedging and risk management strategies across other parts of the portfolio. The position requires strong analytical, modeling, risk management, and trading skills to inform commercial decisions and support portfolio optimization within a rapidly expanding renewables platform.

What You'll Be Doing

CRR / FTR Trading & Position Management

• Develop and execute CRR, FTR, and congestion trading strategies to hedge and optimize portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR / FTR acquisitions, sales, and virtual positions.
• Support the Real-Time and Day-Ahead MOT team with congestion insights and locational pricing forecasts.
• Collaborate with Market Fundamentals, Asset Management, and Origination to align CRR strategies with commercial hedging and offtake structures.
• Monitor project-level financial performance tied to congestion costs, basis exposure, and hedge efficiency.
• Maintain dashboards and reporting tools to track CRR positions, portfolio exposure, and P&L attribution.

Analytics & Modeling

• Utilize power flow and production cost modeling software (e.g., Dayzer and PROMOD) to forecast congestion and simulate transmission constraints.
• Coordinate with Fundamentals and Analytics teams to enhance modeling of nodal prices, transmission outages, and topology changes.
• Leverage programming tools such as Python, R, SQL, and Power BI to automate congestion analytics and scenario back-testing.
• Research regulatory filings, transmission plans, and outage schedules to anticipate market shifts.

Market Fundamentals

• Conduct in-depth analysis of ERCOT, PJM, and CAISO’s transmission topology, load growth, and renewable generation trends.
• Monitor weather, outage, and project interconnection developments that impact congestion patterns.
• Communicate congestion forecasts and market insights to internal stakeholders, including senior management and trading desks.

Risk & Energy Market Strategy

• Develop portfolio risk limits and maintain portfolio-level risk metrics accounting for cross-market correlations in energy, congestion, and REC prices.
• Review forward market price volatility curves and correlation assumptions for stochastic risk modeling.
• Facilitate trading strategy performance benchmarking and establishing risk limits.
• Develop and apply portfolio optimization techniques to drive hedge strategy decisions while balancing the risk-adjusted revenue of Clearway’s renewable assets. Hedging strategies include DART optimization, CRR/FTRs, term hedge, and PPA transactions. Perform daily and weekly portfolio assessments to identify opportunities to maximize portfolio profit opportunities and identify risks.

Governance, Compliance & Risk

• Ensure CRR/FTR trading activities comply with corporate and project-level risk policies, market rules, and Market protocols. • Work closely with Risk, Accounting, and Settlements to reconcile positions, P&L, and collateral management.
• Maintain compliance documentation and participate in periodic audits.

Collaboration & Commercial Support

• Partner with Market Fundamentals, Origination, Development, and Asset Management teams to incorporate CRR/FTR and congestion considerations into project siting and contracting decisions.
• Provide market intelligence and due diligence support for M&A transactions, new developments, and repower evaluations.
• May impact departmental budgeting, strategic planning, and procedural change

What You'll Bring

• Bachelor’s degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT and CAISO CRR auction tools, Dayzer, UPLAN, or similar transmission models.
• Prior experience in energy trading, asset optimization, or market analytics required.
• Ability to construct power fundamental models for pricing, load, generation, flow, and outages using various methodologies
• Ability to build Quant Lib utilizing stochastic calculus and Option Models for deal valuation.
• Deep understanding of ERCOT, CAISO, and PJM market design, CRR/FTR auction processes, transmission planning, and nodal pricing. Dayzer experience is required.
• Strong quantitative, analytical, and problem-solving abilities.
• Excellent communication skills to translate technical results into commercial strategy.
• Proficiency with Excel, PowerPoint, and Power BI.
• Familiarity with congestion and risk management strategies for renewable and storage assets.
• Highly proficient in developing predictive models using mathematical and statistical methods to identify, analyze, and mitigate energy market risks with an understanding of option valuation and Greeks.

What Would Be Nice

• Advanced degree preferred
• Advanced skills in Python, R, or SQL strongly preferred
• Familiarity with battery, wind, or solar congestion profiles is a plus.

Clearway will not sponsor non-immigrant visas for this position (H-1B, TN, E-3, etc.).

#LI-Hybrid

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE

As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide one of our largest AI native customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in, and debugging, Python and SQL
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
  • Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

Your Impact

This is an important client-facing role with an opportunity to lead and mature professionally in an accelerated business growth environment. You will collaborate with clients and project teams to architect and deliver integrations that provide meaningful value to our public safety partners. This person will implement processes to ensure quality, productivity, and client satisfaction. Under minimal supervision, the Solutions Architect ensures that the highest level of customer satisfaction is achieved through timely delivery of the highest possible level of technical services that include system interface construction, technical project scoping, and system analysis.

What You’ll Do

Location: Remote
Travel: up to 30% within the U.S
Reports to: Manager, Solutions Architect

• Work as a client-facing member of the Software Solutions Delivery Team
• Work with a team of networking and software professionals to deliver Axon technology to small and mid-market, T1200, and Majors clients across various industries including public safety
• Analyze IT system architectures for the purposes of scoping technical projects and recommending system improvements, addressing Information Security evaluations and completing architecture review boards
• Manage technical projects remotely and at client sites
• Engage with client’s technical and non-technical leadership to communicate project progress
• Work with account management team to ensure customer needs are being met
• Ensure the highest level of service for Axon software deployments
• Identify integration opportunities between agency systems (cloud and/or on-prem) and Axon’s products
• Recommend deployment plans for identified integrations that drive key outcomes for the agency
• Work closely with project team, product, engineering, sales, and agency technical stakeholders to understand agency goals and program outcomes
• Capture requirements, implement third-party solutions in development environments, perform initial reviews to determine feasibility of integration, document technical capabilities required to meet business requirements, work with Director of Integrations and developers to build, test, and deploy new integrations
• Work with the Director of Integrations and developers to build and document integrations and support requirements
• Write code to leverage API capabilities to optimize implementation tasks, working with DevOps to merge code that is used for repetitive tasks (e.g., Camera management and maintenance, dynamic data integration)

What You Bring

• Bachelor’s Degree highly preferred or equivalent work experience
• 4+ years of experience in analyzing and developing technical systems and software solutions
• Expert networking knowledge and experience in managing technical projects, implementations, and integrations from inception to successful completion, including LAN/WAN, security, IP Video and Video Management Systems
• Expert-level understanding of Linux frameworks, including containerization platforms (Docker preferred)
• Advanced understanding of cloud technologies as well as software development packages and data management tools
• Advanced experience with IT business processes including Architecture Review Boards, IT Security Reviews,
• Advanced hands-on experience with APIs structures and systems integration (REST, SOAP)
• Advanced skills in SQL, Python, Java, and Cloud (AWS and/or Azure)
• Demonstrated system-level understanding of enterprise software systems
• Excellent written and verbal communication skills: demonstrated ability to work with all levels of technical proficiency to understand needs and communicate work
• Project Management experience and/or certifications (i.e., PMI Certifications) are a plus, but not required
• Willingness to join forces and drive company-wide initiatives across multiple departments
• Able to effectively manage multiple projects, priorities, and tasks within a dynamic environment
• Enthusiasm and commitment to AXON’s Mission, Core Values, and Program Mission
• Must pass a Criminal Justice Information Services (CJIS) background check and maintain CJIS clearance
• Handle confidential and highly sensitive information

Benefits that Benefit You

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

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

#LI-Hybrid

Job Summary: At LG Energy Solution Arizona, Inc., the Engineer II – IT MES Process Innovation will play a key role in advancing smart manufacturing initiatives by supporting and improving Production IT systems, including the Manufacturing Execution System (MES), data analysis platforms, and reporting tools. This role partners with production, engineering, and IT teams to analyze manufacturing processes, implement system enhancements, and support IT solutions aligned with user requirements and business and process changes, driving continuous improvement and operational efficiency across manufacturing operations.

Report To: Sr. Manager, Process Innovation

Responsibilities:
• Analyze manufacturing processes and identify opportunities for system enhancements within Production IT systems, including the MES.
• Design, configure, and implement MES and production system improvements to enhance manufacturing efficiency, system performance, and operational visibility.
• Collaborate with production, engineering, and IT teams to develop and deploy technology solutions that optimize manufacturing processes and support evolving operational requirements.
• Troubleshoot system issues impacting production operations and Smart Factory systems, performing root cause analysis and implementing corrective actions to maintain system reliability.
• Monitor and optimize system integration and data flow across MES, WMS, and ERP platforms to improve data consistency, inventory accuracy, and system performance.
• Execute IT initiatives and system enhancement projects that support digital manufacturing and smart factory capabilities.
• Partner with global engineering teams and headquarters stakeholders to align system capabilities with manufacturing process improvements and business requirements.
• Coordinate with internal teams and external technology vendors to implement and maintain IT equipment, software solutions, and system configurations supporting manufacturing operations.

Qualifications:
• Bachelor's Degree in Computer Science, Information Technology, Industrial Engineering or a related field.
• 3+ years of experience in Information Technology, Manufacturing Systems, or related technical environments.
• Experience supporting or implementing Manufacturing Execution Systems (MES) and ERP systems (e.g., SAP) in a manufacturing environment.
• Experience working on data analysis initiatives and production system improvement projects.
• Understanding of manufacturing processes and production systems and their integration with IT solutions.
• Knowledge of IT best practices, including system architecture, programming concepts, and cybersecurity principles.
• Ability to work flexible hours when required to support production operations and collaborate with global teams and headquarters stakeholders.

Skills:
• Strong communication and cross-functional collaboration skills.
• Experience working with data analysis and reporting tools to support operational decision-making.
• Familiarity with project management tools and methodologies.
• Programming and data visualization experience with tools such as Python, SQL, and Power BI preferred.
• Knowledge of AI or advanced analytics solutions preferred.
• Proficiency in Microsoft Office Suite.

Your Impact

Law enforcement agencies need training systems informed by real data about how officers perform in the field. We've spent the last few years collecting that data and validating the data products that create actionable insights that trainers can use to make encounters more effective, less injurious, and safer for everyone involved. We've shipped the simple models, but now we need to get our customer-validated models into production. Your job is not just to ship them, but to ensure that we have a strategic pipeline to continue delivering data products for our customers for years to come. What works in research needs to be production-grade, reliable, and reusable.

We're a small, technically deep team embedded in Axon's TASER pillar. Our work spans hardware telemetry and behavioral science — we analyze TASER device data, build models that drive training recommendations for law enforcement agencies, and ship the analytical tools that get those insights to the people who can act on them. Our analyses reach the C-suite. Our models become user-facing features. We're working toward Axon's Moonshot: reduce fatal officer-involved shootings by 50% in the next decade.

The head of product was a Staff Engineer. Our TPM ran a 60-person engineering organization. Both product managers have quantitative degrees — applied mathematics and engineering. Our program manager for TREND is a former state police lieutenant with over 30 years of experience in law enforcement. Our designer is part of the team, not separated from it. We built this team to cover the full space — engineering, data, product, and domain — and this hire is the next deliberate addition.

This is the opposite of a silo — and it comes with a tradeoff: you won't always have another SWE in the room, so you'll need to be technically self-sufficient. What you get in return is a team with more depth of experience per person than most engineering environments you've worked in.

What You’ll Do

Location: This role is based out of one of our US-based offices (Seattle or Scottsdale) and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation.
Reports to: Director, TASER Data Science

• Build and ship data products: dashboards, metrics systems, and recommendation tools that drive real decisions
• Own production ML deployment — bring models from research to reliable production systems with monitoring, versioning, and operational rigor
• Build and own data pipelines from TASER device telemetry through to analytics surfaces used by agencies and internal stakeholders
• Set technical direction for the team's engineering practices — the data scientists here write code and want to do it better; you'll be the senior engineering voice they've been missing
• Work across the full stack — device-side data ingestion through user-facing analytics — and move between projects to build breadth
• Use AI tools as a core part of your development workflow, not a novelty

What You Bring

Must-haves:

• You write production code at a high standard — strongly typed, comprehensively tested, designed for the people who will maintain it after you. We write Python like software engineers, not data scientists.
• You've deployed and operated ML systems in production: model serving, monitoring, failure handling, and the operational rigor that keeps them running
• You identify the most important technical work and go after it — you've shaped technical roadmaps, influenced peers and organizational direction, and moved goals forward with or without explicit direction
• You define the problem as much as you solve it — you thrive in a team where requirements evolve as you learn, and you see that as a feature, not a bug
• You've worked with real-world messy data: device logs, behavioral data, event streams, or similar

Strong preferences:

• Advanced degree in a quantitative or analytical field — PhDs are very welcome, we already have three
• Intellectual background outside computer science is genuinely valued here: statistics, physics, engineering, biology, economics, linguistics, philosophy — it doesn't have to be a "hard science." We hire for intellectual diversity because it makes the work better.
• Hands-on experience with ML production tooling: model registry, serving infrastructure, pipeline orchestration, and model monitoring
• Experience with cloud data platforms in an ML context (Azure ML, Databricks, Snowflake) and batch or streaming pipeline architecture
• Experience with hardware-adjacent data: device telemetry, IoT event logs, or similar

Benefits that Benefit You

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

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

 About the Internship   

Our Fall internship provides a hands-on experience in the fast-paced and exciting semiconductor industry. Our interns will work alongside industry projects and gain valuable insights into our core engineering roles. This program is designed to grow and shape the industry leaders of tomorrow, offering a chance to learn, develop and build the skills needed for a successful career in the semiconductor field.    

What to expect  

This position is a paid internship that is expected to start August/September 2026 and continue through November/December 2026. The duration will be 12 weeks, full time and on-site. Our internship program is for students who are actively enrolled in a full-time academic program. Recent graduates seeking employment after graduation and not returning to school should apply for our Early Career opportunities.  

International Students: Please consult with your school's international office prior to your application on your ability to pursue this internship opportunity.  

About your role

Rocket Lawyer is seeking a highly motivated Business Intelligence Analyst Intern to join our team. This position is perfect for someone who wants to learn about the legal industry and how data is used to inform business decisions. By joining our team, you will have the opportunity to work on challenging projects that have a real impact on people's lives. You will support the Rocket Lawyer team in driving business insights, reporting, and analytics to help drive growth and optimize business performance. This role will partner closely with Product, Finance, Marketing, & Data Engineering teams to deliver actionable insights and act as a thought leader for data at Rocket Lawyer.

How you will make a difference day to day

• Analyze and optimize user engagement and experience with our services and investment across Search Engine Marketing (SEM), Search Engine Optimization (SEO), email, and offline channels
• Collaborate with business leads to understand KPIs & test hypotheses to drive revenue, customer acquisition, retention, and sales
• Support revenue and cost model assumptions are they relate to customer acquisition costs and lifetime value
• Conduct research and analysis to support business decisions, including reporting and communication of results to leadership
• Maintain and optimize BI tools and dashboard solutions. Contribute to ongoing data governance efforts

What you’ll need

• Experience with business analysis and problem-solving by drawing insights from large data sets
• Superior skills with SQL, Excel, and Python
• Experience with business intelligence applications (Tableau, Looker) and online marketing tools (Amplitude)
• Experience with Snowflake, other databases a plus
• SaaS, digital media, ecommerce, or online marketing based business experience a plus
• Light-hearted attitude and ability to have FUN while working hard
• Keen attention to detail, ability to work autonomously, & bias for action
• Excellent communication and interpersonal skills, with strong business acumen
• Pursuing a Bachelor's or Master’s Degree in Finance, Economics, Engineering or related quantitative field

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Final Interview

Sr SWE -AI

Senior Software Engineer, AI Platform (Corporate AI Team)

Team & Role Overview

Axon’s Corporate AI Team sits within the Enterprise Data organization and focuses on internal-facing AI solutions that help Axon employees do more high‑value work with less manual effort. The team builds and operates Cortex, Axon’s internal AI platform that provides GPT‑class models, chat assistants, and secure integrations with systems like Quip, Jira, Slack, Microsoft 365, Snowflake, and more.
We’re looking for a Senior Software Engineer, AI Platform to help design, build, and scale this platform. In this role, you’ll:

• Own core services and integrations that power AI experiences for thousands of Axon employees.
• Collaborate with Corporate AI, Data Engineering, and business teams to turn real workflows into secure, reliable AI‑powered tools.
• Help define best practices and patterns for building production‑grade LLM and agentic workloads at Axon.

This is a hands‑on senior IC role—you’ll spend most of your time designing, coding, and operating production systems, not managing people.

What You’ll Do

Build and Evolve the AI Platform

• Design, build, and operate services that power Axon’s internal AI platform (Cortex), including chat experiences, agents, and integrations with enterprise systems.
• Implement and standardize patterns for deploying AI‑driven applications (APIs, web services, workflows, agents) across Axon’s cloud environments.
• Own and extend connectors and MCP integrations (e.g., Jira, Quip, Slack, M365, Snowflake) that allow LLMs to safely read and write data in Axon systems.
• Measure and improve reliability, latency, and cost for AI workloads, using telemetry and feedback from real users.

Deployment, Integration, and Reliability

• Drive the end‑to‑end lifecycle of new AI features—from prototype to hardened production service (design, implementation, testing, rollout, and operations).
• Evaluate new AI services (e.g., OpenAI, AWS Bedrock, Azure ML) for fit, performance, and cost; recommend and implement the right options for each use case.
• Implement monitoring, alerting, and auditing for AI services, ensuring we can trace usage, detect anomalies, and keep systems healthy in production.

Enablement, Best Practices, and Architecture

• Help define and document best practices for GPT/LLM solution development, including prompt engineering, RAG patterns, agentic workflows, and safe tool use.
• Partner with Corporate AI and Enterprise Architects to shape reference architectures for AI‑enabled apps and workflows (scalability, resiliency, observability, data access).
• Contribute to internal starter kits, training content, and templates that help other engineers and analysts build on the platform effectively.

Security, Governance, and Responsible AI

• Implement and maintain secure patterns for API key management, secrets, and access to models and data sources, aligned with Axon’s security and compliance standards.
• Work with Data, Security, and Governance partners to operationalize responsible AI guardrails—e.g., model selection, data minimization, logging, and usage controls.
• Ensure that new capabilities respect permissions, auditing, and policy requirements across systems like Jira, Quip, Slack, M365, and Snowflake.

Collaboration and Communication

• Collaborate closely with Data Engineering, Solution Architecture, and business teams (Finance, Sales, Operations, etc.) to turn real workflows into repeatable AI solutions.
• Clearly communicate design decisions, trade‑offs, and status to technical and non‑technical stakeholders.
• Participate in brainstorming and discovery sessions to identify “big dumb problems worth solving” with AI and automation.

What You Bring

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 4+ years of professional software engineering experience, including building and operating production services or platforms.
• Strong proficiency in at least one of: Python, TypeScript/JavaScript, or Java.
• Experience with at least one major cloud provider (AWS, Azure, or GCP) and comfort working with cloud‑native services (functions, containers, managed databases, queues, storage).
• Solid understanding of web service fundamentals (APIs, authentication/authorization, observability, CI/CD) and how to build reliable, maintainable systems.
• Demonstrated interest in AI/ML and LLMs—for example, integrating with OpenAI, Bedrock, or similar APIs; building GPT‑style apps; or using AI‑assisted development tools.
• Basic understanding of security best practices (secrets management, least‑privilege access, audit logging) and eagerness to deepen this in the context of AI platforms.
• Strong communication and collaboration skills, with comfort working in a fast‑moving, experimental environment.

Preferred Experience

You don’t need all of these, but experience in several of the following will help you ramp quickly:

• Hands‑on work with LLM platforms and tools, such as OpenAI (ChatGPT / APIs), AWS Bedrock, Azure OpenAI, or Azure ML Studio.
• Experience integrating with enterprise systems like Jira, Confluence/Quip, Slack, M365, Salesforce, or Snowflake—especially via APIs or connectors.
• Familiarity with RAG (Retrieval‑Augmented Generation), semantic search, or vector stores in production contexts.
• Exposure to DevOps / platform engineering: Terraform or similar IaC, GitHub Actions or other CI/CD systems, containerization (Docker, Kubernetes), and application monitoring stacks.
• Experience building internal platforms or self‑service tools used by multiple teams.
• Participation in enablement activities (internal trainings, office hours, documentation, or community programs like Axon’s Champions Circle) is a plus.

POSITION SUMMARY

We are seeking a skilled and motivated Field Engineer to join our team. In this hands-on role, you will serve as the critical link between our software engineering team and real-world deployment environments. You will execute, monitor, and troubleshoot software systems in active warehouse and industrial settings, ensuring seamless sensor deployments and high-quality execution across field operations.

KEY RESPONSIBILITIES

• Execute software front-ends (GUI and command-line interfaces) in field warehouse environments
• Troubleshoot software execution issues in real-time, ensuring minimal disruption to operations
• Collaborate closely with the broader software engineering team on issue diagnosis and continuous improvement
• Manage and monitor the quality of software execution in real-time during deployments
• Deploy and configure arrays of sensors into industrial warehouse settings
• Unpack, assemble, configure, disassemble, and transport technical equipment to and from field sites
• Maintain clear, accurate documentation of deployments, issues, and resolutions

REQUIRED QUALIFICATIONS

• 4+ years of experience in a relevant technical field role
• Willingness and ability to travel to field sites as required
• Proficiency with Linux, Bash, and/or Zsh environments
• Strong hands-on ability to unpack, assemble, disassemble, and transport technical equipment
• Demonstrated documentation skills — able to produce clear, thorough technical records
• Strong problem-solving skills with comfort working in fast-paced, dynamic environments
• Effective communicator — able to relay technical findings to both field and remote engineering teams

PREFERRED QUALIFICATIONS (BONUS POINTS)

The following are not required but will make your application stand out:

Software & Systems

• Familiarity with motion capture ecosystems: Optitrack, Manus, StretchSense, or Rokoko
• Experience with AR/VR headsets or Zed stereo cameras
• Basic Python scripting ability for automation or diagnostics
• Experience with AWS CLI and foundational cloud services
• Experience with real-time monitoring tools
• Experience with remote system administration

Hardware & Connectivity

• Knowledge of hardware communication protocols: I2C, SPI, UART
• Experience deploying sensor arrays or IoT devices in the field
• Familiarity with industrial automation or warehouse management systems

Documentation & Operations

• Experience writing technical documentation, SOPs, or deployment guides
• Experience with machine shop tools and physical fabrication

Salary Range: $110,000-$120,000/K

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience 

About your role

Rocket Lawyer is looking for a motivated and passionate AI/ML Software Engineering Intern to join our team working on Rocket Copilot, our AI assistant launched in December 2023. In this internship, you will collaborate with our cross-functional teams to assist in building a cutting edge AI platform. You’ll have the opportunity to learn from experienced engineers while working on real-world AI/ML projects, helping design, implement, test, and maintain new AI features.

We value a collaborative and supportive work environment, where we celebrate learning and growth. This is a great opportunity for someone eager to expand their skills and contribute to innovative AI solutions.

Responsibilities

• Assist in prompting, evaluating, fine-tuning, and maintaining large language models (LLMs) for AI features
• Support the creation, monitoring, and troubleshooting of backend API services that interact with ML models
• Collaborate with cross-functional teams to integrate AI into existing and new Rocket Lawyer products
• Research and stay up-to-date with industry trends around generative AI and machine learning
• Prototype product features to explore new AI capabilities and write clean, understandable code

What you’ll need

• Currently pursuing a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related field.
• Basic understanding of machine learning concepts and algorithms.
• Familiarity with generative AI technologies and models (Deep Learning, RAG, Neural Networks, Agents).
• Interest or experience working with large language models (LLMs) and generative AI.
• Strong programming skills in Python

A bonus if you have

• Experience with backend Python frameworks like FastAPI, Flask, Django, etc.
• Familiarity with vector databases.
• Additional programming skills in languages such as Java, Kotlin, or NodeJS.
• SQL knowledge.
• Interest in building user-facing products.
• Understanding of microservices architectures and distributed systems.

Interview Process

• Recruiter Phone Screen
• Hiring Manager Interview
• Team Interview

About the Role

You own our marketing technology stack — lifecycle infrastructure that powers email and SMS programs, and tracking systems that keep paid media attribution honest.

You'll design and maintain the systems that let a lean, AI-powered marketing team move fast and measure accurately. That means Iterable journeys and CDP audiences that run lifecycle programs on autopilot, a conversion tracking layer that stays clean across every ad platform, and automation that eliminates manual work from campaign launches to performance monitoring. You'll also drive cross-functional initiatives with Engineering, Product, and Growth Science to get critical tracking and infrastructure work prioritized. Senior IC role, no direct reports.

What You'll Do

1. Lifecycle Platform & Campaign Infrastructure

• Own Iterable end-to-end: configuration, journey architecture, lifecycle triggers, and audience management for welcome, nurture, and re-engagement programs.
• Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly.
• Build AI-powered email and SMS template systems — modular, dynamic, and populated by AI at scale — so our lifecycle team can ship programs without relying on agencies or one-off builds.
• Train the team on platform capabilities and self-serve campaign creation so the lifecycle lead can focus on strategy, not production.

2. Conversion Tracking & Attribution

• Own Google Tag Manager and our Segment event taxonomy. Partner with Engineering on event tracking implementation, maintain event taxonomy documentation, and troubleshoot conversion data gaps across ad platforms.
• Partner with Engineering to implement and verify CAPI, enhanced conversions, and server-side tracking setups. You drive requirements, validate implementation, and own ongoing QA — Engineering builds it.
• Escalate and drive Engineering/Product prioritization when tracking infrastructure needs investment.

3. Automation, Tooling & Experimentation

• Build automated budget pacing alerts, performance anomaly detection, and campaign QA workflows (broken links, UTM validation, tracking checks) for both paid and lifecycle programs.
• Use Claude, Python, Gumloop and AI tools to build self-serve workflows that eliminate manual operational work across the team. Train team members on AI tools for content generation, analysis, and self-serve campaign creation.
• Partner with Growth Science on budget allocation analysis, channel decisions, measurement planning, and incrementality testing.

What You'll Need

Technical Skills:

• Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends)
• Strong HTML/CSS for responsive email templates; comfortable reading JavaScript
• Experienced with CDP platforms (Segment Personas or similar)
• Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking
• Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier)
• Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis
• Proficient in SQL for campaign analysis and troubleshooting

Experience:

• 5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale
• Track record building infrastructure — not running campaigns — that measurably increases team velocity
• Proven ability to drive data infrastructure through Engineering and Product without direct authority
• Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact

Mindset:

• Infrastructure builder: you design systems that eliminate entire categories of manual work
• AI-native: you use AI tools daily — for coding, content, analysis, and problem-solving
• High-agency IC: you architect solutions, prototype independently, and build them yourself

Bonus Points

• High-consideration, high-value transactional businesses (real estate, automotive, financial services)
• Amplitude or Optimizely experimentation platform experience
• Figma for prototyping templates
• Analytics engineering or data visualization (Looker, Mode, Tableau)
• Segment CDP, mobile push, or in-app messaging experience

Compensation

The base pay range for this position is $172,000–$238,000 Canadian Dollars annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

About the Role

You own our marketing technology stack — lifecycle infrastructure that powers email and SMS programs, and tracking systems that keep paid media attribution honest.

You'll design and maintain the systems that let a lean, AI-powered marketing team move fast and measure accurately. That means Iterable journeys and CDP audiences that run lifecycle programs on autopilot, a conversion tracking layer that stays clean across every ad platform, and automation that eliminates manual work from campaign launches to performance monitoring. You'll also drive cross-functional initiatives with Engineering, Product, and Growth Science to get critical tracking and infrastructure work prioritized. Senior IC role, no direct reports.

What You'll Do

1. Lifecycle Platform & Campaign Infrastructure

• Own Iterable end-to-end: configuration, journey architecture, lifecycle triggers, and audience management for welcome, nurture, and re-engagement programs.
• Manage our CDP (Segment Personas): define audience segments, maintain governance and naming conventions, and work with Engineering to ensure data flows to Iterable cleanly.
• Build AI-powered email and SMS template systems — modular, dynamic, and populated by AI at scale — so our lifecycle team can ship programs without relying on agencies or one-off builds.
• Train the team on platform capabilities and self-serve campaign creation so the lifecycle lead can focus on strategy, not production.

2. Conversion Tracking & Attribution

• Own Google Tag Manager and our Segment event taxonomy. Partner with Engineering on event tracking implementation, maintain event taxonomy documentation, and troubleshoot conversion data gaps across ad platforms.
• Partner with Engineering to implement and verify CAPI, enhanced conversions, and server-side tracking setups. You drive requirements, validate implementation, and own ongoing QA — Engineering builds it.
• Escalate and drive Engineering/Product prioritization when tracking infrastructure needs investment.

3. Automation, Tooling & Experimentation

• Build automated budget pacing alerts, performance anomaly detection, and campaign QA workflows (broken links, UTM validation, tracking checks) for both paid and lifecycle programs.
• Use Claude, Python, Gumloop and AI tools to build self-serve workflows that eliminate manual operational work across the team. Train team members on AI tools for content generation, analysis, and self-serve campaign creation.
• Partner with Growth Science on budget allocation analysis, channel decisions, measurement planning, and incrementality testing.

What You'll Need

Technical Skills:

• Expert in Iterable, Braze, or comparable ESP at enterprise scale (millions of sends)
• Strong HTML/CSS for responsive email templates; comfortable reading JavaScript
• Experienced with CDP platforms (Segment Personas or similar)
• Working knowledge of GTM, CAPI, enhanced conversions, and server-side tracking
• Proficient with Python scripting and no-code automation tools (Gumloop, Make, Zapier)
• Expert with AI tools (Claude, Cursor) for generating code, templates, and analysis
• Proficient in SQL for campaign analysis and troubleshooting

Experience:

• 5–7+ years in marketing operations, with primary depth in lifecycle/email platform ownership at scale
• Track record building infrastructure — not running campaigns — that measurably increases team velocity
• Proven ability to drive data infrastructure through Engineering and Product without direct authority
• Comfortable spanning acquisition and lifecycle — you understand how performance marketing and lifecycle programs interact

Mindset:

• Infrastructure builder: you design systems that eliminate entire categories of manual work
• AI-native: you use AI tools daily — for coding, content, analysis, and problem-solving
• High-agency IC: you architect solutions, prototype independently, and build them yourself

Bonus Points

• High-consideration, high-value transactional businesses (real estate, automotive, financial services)
• Amplitude or Optimizely experimentation platform experience
• Figma for prototyping templates
• Analytics engineering or data visualization (Looker, Mode, Tableau)
• Segment CDP, mobile push, or in-app messaging experience

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

As a Process Productivity Engineer at ASM, you will work with our customers as a system level expert focused on product support for new product development. This role will require 25-50% domestic and international travel (depending on product cycle).

Responsibilities: 

• Drives and owns top customer productivity issues (e.g., defect reduction, tool matching, tool availability, etc.) for products in the field across the product life cycle, from new product introduction through high volume manufacturing.  
• Interaction with Hardware, Electrical, Controls, Product Support, Process, and Software engineering teams to become the system level expert on new products transferred to the field. Become an expert on the interaction of the products with the customer processes and resulting tool productivity.
• Provides guidance to engineering during the design phase of new products on key customer requirements and needs, including productivity specifications (e.g., defects, tool matching, throughput, etc.) and process best practices.
• Designs and conducts experiments, in addition to measuring and interpreting experimental output, aimed at fulfilling stated objectives using Design of Experiments (DOE) and Response Surface Methodology (RSM).
• Troubleshoots equipment problems and is personally and actively engaged in problem via “hands-on” modalities.
• Owns marathon qualification of new processes and products in the development lab, including data collection, analysis, and improvement plans. Works closely with Process, Product Support, and Hardware engineering teams providing real time feedback of marathon issues and recommended solutions.
• Ensure processes follow best known practices throughout the product life cycle, from before the first eval shipment through the HVM ramp. Share and proliferate new solutions across internal teams, including Process, Product Support, and Field Support engineering teams.

Education and Requirements:

• Master’s or PhD Degree in Chemical Engineering, Materials Science, Chemistry, Physics, Mechanical Engineering, Electrical Engineering, or related degree.
• Hands-on and/or course work experience with hardware.
• Strong technical troubleshooting and root cause analysis skills.
• Demonstrated ability to characterize processes and/or hardware using first principles and experimental design techniques (e.g., DOE, RSM).
• High motivation, enthusiasm and curiosity to learn.
• Interested in working with new products, testing them and becoming a system level expert.
• Excellent verbal and written communication skills, with ability to clearly communicate advanced technical constructs in direct and concise manner.
• Statistical analysis and script writing in Python, Matlab, or similar is a plus.
• Ability to travel (domestic and international) 25-50%

We are seeking a highly motivated System Engineer to join our Sensor Technology Group, a dynamic team driving innovation in advanced sensor solutions for semiconductor manufacturing equipment. This role offers a unique opportunity to work at the intersection of mechanical, electrical, chemical, and materials engineering, contributing to the development of next-generation sensor systems that enable precision, reliability, and performance in semiconductor fabrication.

Responsibilities:

• Lead and support the design, integration, and validation of sensor systems within semiconductor equipment platforms.
• Collaborate cross-functionally with hardware, software, and process engineering teams to define system requirements and architecture.
• Develop and execute test plans to evaluate sensor performance under various operating conditions.
• Analyze data to identify trends, troubleshoot issues, and optimize sensor functionality.
• Drive continuous improvement in sensor system reliability, manufacturability, and cost-effectiveness.
• Support technology transfer from R&D to production, including documentation and training.
• Stay current with emerging sensor technologies and industry trends.

Requirements:

• Bachelor’s or Master’s degree in mechanical engineering, Electrical Engineering, Chemical Engineering, Materials Science, or a related field.
• 3+ years of experience in system engineering, preferably in semiconductor equipment or high-tech industries.
• Experience with system integration, data acquisition, and signal processing.
• Experience in tools such as JMP, Python, or similar for data analysis.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Strong communication skills and ability to present technical concepts to diverse audiences.

Preferred Qualifications:

• Relevant work experience in semiconductor equipment or a similar industry.
• knowledge of semi-conductor vacuum system, automatic wafer transfer (mechatronic: robotics, servo control, sensor and actuators) and integration into complex wafer processing system.
• Understanding of sensor technologies (e.g., thermal, optical, chemical, pressure, flow).
• Semiconductor related metrology knowledge (instrumentation to qualify & measure thickness, particles, electrical resistivity, etc.)
• Experience transitioning third party tools and service to in-house is particularly interesting

Job’s mission

What you will be working on

• Design and develop electromechanical systems integrating robotics with advanced control architectures.
• Implement visual-aided closed-loop control systems with real-time motion adjustment.
• Apply image processing algorithms using OpenCV, MATLAB, or similar libraries to guide robotic motion.
• Develop and tune servo control systems for precision and stability.
• Program and deploy control software for robotic platforms and embedded controllers (C/C++, Python, ROS).
• Develop, debug, and maintain PLC programs using Siemens, Allen-Bradley, or Beckhoff platforms.
• Collaborate with mechanical, electrical, and software teams for seamless integration.
• Participate in prototyping, testing, validation, and field deployment.
• Document system architecture, design decisions, and performance metrics.
• Provide technical support for troubleshooting and maintenance.

What we are looking for

• BS in Robotics, Mechatronics, Electrical Engineering, or related field with 12+ years of experience; MS with 8+ years; PhD with 4+ years.
• Proven expertise in control systems, including PID tuning, kinematics, and dynamic modeling.
• Hands-on experience with machine vision and image processing.
• Strong background in servo drive configuration and motor control.
• Proficiency in control software development for embedded and real-time systems.
• Experience with PLC programming and industrial communication protocols.
• Excellent problem-solving skills and ability to work independently or in teams.
• Strong communication skills for documentation and collaboration.

What sets you apart

• Familiarity with robotic frameworks such as ROS and tools like MATLAB/Simulink, LabVIEW, or TwinCAT.
• Knowledge of low-level communication interfaces (CAN bus, I2C, SPI, UART).
• Basic mechanical design principles and CAD tools.
• Experience with sensor integration (cameras, LIDAR, proximity sensors) and real-time data processing.
• Skills in actuator control and trajectory planning.
• Knowledge of semiconductor manufacturing processes and automation requirements.
• Experience with industrial robots or willingness to learn these applications.

Your Impact

As a Principal NPI Program Manager, you will own the operational engine that moves Axon's products from concept to commercialization. From the moment a product team submits a new SKU request to the moment it is live in the price book and available to quote, you are the cross-functional orchestrator - working in lockstep with Product, Finance/FP&A, Commercial Operations (Quoting), Supply Chain, Operations, Legal, and IT.

You will design, operate, and continuously improve the NPI process - bringing discipline, transparency, and velocity to a function that sits at the intersection of product strategy and commercial execution. You will work on issues that shape the design and selling success of Axon's products, and influence senior and executive leadership across functional areas.

What You’ll Do

Location: Scottsdale, AZ (flexible for other Axon hubs)
Reports to: Director, Chief of Staff (Controllership)

• NPI process ownership
• Own and operate the end-to-end NPI workflow for all SKU types (hardware, software, services) - from initial SKU submission by product team through cross-functional review cycles and Ready-to-Quote and Ready-to-Ship stages.
• Manage and continuously improve the NPI intake process (ServiceNow) and all associated downstream workflows across D365 and Salesforce.
• Drive the bundle creation process during annual pricing week - meet with product teams to understand product vision and manage the creation of new bundles and updating of existing bundles.
• Design and enforce governance frameworks for SKU creation, bundle creation and modification, list price changes, product end-of-life, and SKU swaps.
• Set clear priorities and role clarity during dynamic periods (pricing weeks, product launches, M&A integrations); ensure the team has the tools, training, and support to execute.
• Cross-functional leadership
• Serve as the primary point of contact and decision-maker for NPI across Product, Finance, Commercial Operations (Quoting), Sales Strategy, Supply Chain, Operations, Legal, and IT.
• Drive structured cross-functional alignment before bundles and SKUs are released - coordinating Product, Finance, and ComOps to ensure commercial, technical, and operational readiness.
• Lead NPI execution during high-velocity events (e.g., annual Pricing Week), managing 20+ product team reviews, bundle creation sprints, and real-time change requests.
• Regularly influence and present to VP- and C-level stakeholders
• Process improvement and automation
• Identify and execute high-impact improvements to NPI workflows - including AI and automation opportunities that reduce manual effort, improve data quality, and accelerate cycle time.
• Partner with IT to evolve the ServiceNow NPI workflows, intake form, and integration architecture; ensure system changes are documented and cross-functionally reviewed before deployment.
• Build and maintain NPI KPI dashboards (SKU cycle time, task completion rates, bundle change request volume, backlog aging) to drive operational visibility and executive reporting.
• M&A & Strategic Projects
• Lead integration of acquired-company SKU portfolios into Axon's NPI and commercial systems — translating acquired pricing models, product structures, and go-to-market approaches into Axon's frameworks.
• Work on issues that address future product concepts and commercial technologies; contribute to strategic initiatives at the intersection of product, pricing, and operations.

What Success Looks Like

• SKU intake-to-price-book cycle time is reduced and predictable across all SKU types while maintaining high quality standard.
• Bundle modification requests flow through a structured, Finance- and ComOps-approved workflow - with visibility, accountability, and a clear reduction in repeat/ad hoc changes.
• NPI documentation, workflow logic, and system integrations are maintained, accurate, and accessible - no critical institutional knowledge exists only in people's heads.
• The NPI team is fully ramped, cross-trained, and increasingly leveraging automation to reduce manual effort and expand capacity.
• Senior and executive leadership have high trust in the NPI function's output quality, communication, and cross-functional relationships.
• Acquired-company SKU portfolios are successfully integrated into Axon's NPI and commercial systems within agreed timelines, with no degradation in existing workflows.

What You Bring

• 8+ years experience in Product Operations, NPI, Commercial Operations, or a closely adjacent function at a technology, hardware+software, or multi-product company.
• Demonstrated end-to-end ownership of a product introduction or SKU lifecycle process — spanning intake, cross-functional coordination, system configuration, and commercial readiness.
• Proven cross-functional leadership: track record of aligning and influencing Product, Finance, and Commercial Operations (Quoting/Sales) at the VP level and above, without direct authority.
• Enterprise systems fluency: hands-on experience with workflow/NPI tools (ServiceNow strongly preferred), ERP (D365 or equivalent), CRM (Salesforce), and PLM/configuration management platforms.
• Experience at a smaller or high-growth company (< 5,000 employees) where you built process and team capability in a resource-constrained, fast-moving environment.
• Strong understanding of bundle and pricing constructs - how products are packaged, priced, and made available to market.
• Data-driven operator: comfortable defining KPIs, building dashboards, and using data to influence decisions and communicate to executive audiences.
• Practical experience with AI/automation tooling (e.g., Cursor, Python, Power Platform, ChatGPT/Claude) applied to operational or commercial processes.
• Excellent executive communication: regularly presents to and influences senior and C-suite leadership; able to change the thinking of contrary perspectives while maintaining strong relationships.

Work Location

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

Benefits that Benefit You

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

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

Your Impact

As our Controllership AI & Automation Transformation Lead, you will lead and deliver targeted AI, analytics, and automation initiatives that improve speed, quality, and scalability of Controllership processes.

You will own discrete projects/workstreams end-to-end, partner closely with Accounting, IT/Engineering, and Internal Audit, and deliver measurable results. This will involve leading meetings with process owners, understanding current state and pain points, defining business requirements, and using AI and automation tools to develop solutions. The outcome will involve working with IT/data teams, enabling the process owner to learn and build solutions themselves and/or you being hands on building solutions yourself.

What You’ll Do

Location: Boston MA (flexible for other Axon hubs)
Reports to: Director, Chief of Staff (Controllership)

• Define the AI transformation roadmap for Controllership.
• Identify and prioritize high-value automation/AI opportunities across Controllership processes (Accounting Operations, Tax, Financial Reporting, Internal Audit, Revenue Accounting, New Product Introduction).
• Define project scope, requirements, and success metrics; build ROI cases (hours saved, cycle-time reduction, error-rate reduction, rework avoided).
• Partner with Finance Systems / IT / Engineering to deliver solutions using automation, analytics, and AI/LLM-enabled tooling (e.g., workflow automation, controlled LLM assistance for drafting/analysis, intelligent triage).
• Build and validate analytics (e.g., SQL-based checks, reconciliation logic, KPI dashboards) to ensure outputs are accurate, explainable, and auditable.
• Present transformation outcomes to leadership and executive stakeholders.
• Drive project execution: timelines, risks, dependencies, stakeholder updates, UAT coordination, rollout planning, and post-launch stabilization.
• Serve as internal advisor on AI governance and adoption.
• Create documentation that supports SOX/audit readiness (process flows, control mapping, test evidence, governance & usage guidelines).
• Support change management: training, playbooks, and adoption monitoring to ensure solutions are used and sustained.
• Stay current on AI capabilities and tooling (including developer/productivity tools such as Cursor) and propose pragmatic pilots that improve finance outcomes.

What Success Looks Like

• Build and deliver a combination of high impact solutions (2–4 larger production-grade improvements per year) and play an integral role in enabling others to build dozens of other smaller improvements across core Controllership processes.
• Reduction of manual effort in a targeted process by 15–40% (or a defined hours/month goal) while maintaining or improving control quality.
• Improve close readiness for scoped areas (e.g., fewer late adjustments, fewer deal-review escalations, reduced cycle time for a defined workflow).
• Zero high-severity audit/control findings attributable to the implemented automation/AI workflow.

What You Bring

• 6+ years experience delivering measurable business results through data analytics, automation, and/or process transformation in Finance, Accounting, RevOps, or adjacent functions.
• Strong analytical skills (e.g., Python, SQL preferred) and experience using business intelligence tools (e.g., Alteryx, Power Query).
• Experience using AI tooling (e.g., Cursor, Claude, ChatGPT) to generate solutions to solve Accounting/Finance related problems.
• Strong knowledge of data governance.
• Working knowledge of accounting processes (Order-to-Cash, Procure-to-Pay, Record-to-Report) and the ability to partner effectively with Controllership stakeholders across those domains; quickly understand current state and pain points, and translate them into clear business requirements and solution options; experience supporting Revenue Accounting (ASC 606) strongly preferred.
• Demonstrated project/program management capability: scoping, planning, execution, stakeholder alignment, and delivery.
• Excellent written and verbal communication; can translate between Finance, technical teams, and business partners.
• Sound judgment around governance, risk, and controls when introducing automation/AI.
• Experience with Salesforce, D365, Microsoft Power Platform, or similar finance/CRM ecosystems.
• Hands-on experience implementing LLM-supported workflows (prompt/playbooks, guardrails, evaluation, adoption measurement).
• Experience in high-growth, hardware+software, or multi-element arrangement environments.
• Experience in a role that required rapid context-gathering in stakeholder meetings and guiding non-technical teams to technical solutions.
• CPA or equivalent; BS in Accounting/Finance or related field is a plus.

Work Location

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

Benefits that Benefit You

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

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

Your Impact

We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.

What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)

• US: Seattle, Boston, Scottsdale

Responsibilities

• Own one or more key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
• Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
• Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
• Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
• Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
• Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
• Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
• Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
• Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
• Experience coach and mentor junior scientists.

What You Bring

• PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
• Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
• Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Benefits that Benefit You

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

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

Location: This role is based out of our Scottsdale, AZ office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.

Your Impact 

As a Senior Application Security Engineer, you will drive security initiatives that integrate seamlessly into the software development lifecycle. This role is all about empowering development teams with the tools, knowledge, and processes to build secure applications. You’ll work side-by-side with developers as a security partner, not just a reviewer, to enhance our security posture while maintaining speed and innovation.

You will leverage your strong software development background and application security expertise to build scalable security automation and tooling. This role is perfect for someone who is passionate about automating processes, enabling teams, and solving complex security challenges at scale.

What You’ll Do 

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

Reports to: Senior Product Security Manager
Direct Reports: None

• Integrate Security into Development
  • Build and maintain security automation tools to seamlessly embed security checks into CI/CD pipelines.
  • Partner with engineering teams to design secure-by-default architectures and workflows.
• Enable Developer Success
  • Act as a trusted advisor and partner for development teams, providing actionable guidance to address security issues.
  • Deliver training and mentorship on secure coding practices, empowering teams to proactively prevent vulnerabilities.
• Proactively Identify Risks
  • Deploy and operationalize static (SAST), dynamic (DAST), and dependency (SCA) scanning tools.
  • Lead vulnerability management efforts, ensuring critical vulnerabilities are identified, prioritized, and remediated.
  • Advocate for a “security debt” reduction mindset to maintain long-term product integrity.
• Champion Security Automation
  • Create and enhance tools that automate repetitive tasks and accelerate vulnerability detection and remediation.
  • Stay ahead of industry trends to evaluate and implement cutting-edge security solutions.

What You Bring

• Proficiency in programming languages like Python, Java, Go, or C#.
• Strong experience with modern development workflows, including CI/CD pipelines and Git-based version control.
• In-depth understanding of vulnerabilities and secure coding practices.
• Hands-on experience with security tools like Snyk, Semgrep, or similar.
• Ability to simplify and communicate technical security concepts to diverse audiences.
• Demonstrated success in partnering with developers to integrate security without disrupting velocity.
• Experience performing secure code reviews and interpreting SAST/DAST results.
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Contributions to or leadership in open-source security tools.
• Relevant certifications

Benefits that Benefit You

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

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

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data 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's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.

As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you’ll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.

This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.

​​You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.

Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe 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: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:

• Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
• Own projects end-to-end, including problem definition, implementation, validation, and iteration
• Deliver high-quality analytical and modeling outputs with limited manager oversight
• Collaborate closely with data science peers and cross-functional partners across business units
• Help ensure data science processes and outputs align with broader team strategies and roadmaps
• Provide guidance or informal mentorship to junior data scientists or analysts when needed
• Contribute to improving data science practices, tooling, and documentation

Requirements:

• 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
• 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
• 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus points:

• Master’s degree in a quantitative or technical field
• Knowledge of or previous work experience in health care or health insurance
• Experience mentoring or supporting junior team members
• Experience deploying or supporting models in production environments

Hi, we're Oscar. We're hiring a Senior Software Engineer, Backend to join our Engineering team.

Oscar is the first health insurance company built around a full stack technology platform and a 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

As a Senior Software Engineer, you will build reliable and maintainable applications, infrastructure, and interfaces that make interacting with the health care system easier for members and providers. You will work with partners, product managers, and designers to solve challenging problems. Senior Engineers collaborate with other engineers on the team to improve technology and apply best practices.

Work Location: This position is based in our Tempe, AZ 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: $158,400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

• Become the expert on your team's business and technical domains.
• Lead the planning, execution and release of complex technical projects.
• Work with partners, product managers, and designers to solve challenging problems.
• Collaborate with other engineers on the team to improve technology and apply best practices.
• Implement step-wise technical migrations of our existing services and applications.
• Own small to medium features or infrastructure projects from technical design through completion with little required guidance.
• Independent contributor to their team. Work effectively across the codebase with appropriate guidance from code owners.
• Make steady, well-paced progress without requiring frequent significant feedback from more senior engineers.
• Compliance with all applicable laws and regulations
• Other duties as assigned

Qualifications

• 5+ years of professional software engineering experience, working with a variety of technologies, and have increasingly impactful accomplishments
• Experience proposing, experimenting, and iterating, whether it be a new shiny technology or an arcane, ill-conceived data structure; our company may be new, but the health industry isn't!
• Experience with technical contributions, improving the quality of what you create, and are excited to build fault-tolerant, and scalable software systems.
• Demonstrates solid understanding of the practical application of CS concepts within their team.
• Consistently writes stable, correct, and maintainable code with little oversight; writes modular, adaptable code with guidance.

Bonus Points

• Experience supporting libraries and writing in Python and Golang.
• Experience owning observability stack tooling, e.g. Grafana, BigQuery, Kubernetes.
• Experience working in data and engineering tooling, e.g. discovery libraries, data replication, data transfer tools, authentication, authorization libraries.

About your role

Rocket Lawyer is seeking an experienced, passionate AI/ML software engineer for Rocket Copilot, our new AI assistant launched in December 2023. In this role, you will help our team deeply embed AI features across our platform. You will work in an agile, cross-functional team, working with multiple product teams as we build out AI features across Rocket Lawyer. You will design, implement, test, release and maintain new AI features, working closely with product managers, UX designers, data engineers, QA engineers, and others.

We value a fun, collaborative, team-oriented work environment, where we celebrate our accomplishments. 

How you will make a difference day to day

• Build, train, fine-tune, deploy and maintain ML models for AI features
• Create, monitor and troubleshoot backend API services to allow Rocket Lawyer product frontends to interact with ML models
• Work closely with multiple product teams and cross-functional teammates to quickly integrate AI into existing and new Rocket Lawyer products
• Keep up-to-date with industry trends around generative AI and machine learning
• Rapidly prototype product features to explore new AI capabilities, while writing clean, understandable code

What you’ll need

• 5+ years of Experience writing ML code for launched products
• Understanding of the state of the art in generative AI, including RAG, LoRA, RLHF and others
• Experience creating data sets from proprietary anonymized data, and using them to train and fine-tune ML models
• Experience with machine learning frameworks like TensorFlow, PyTorch and Scikit-Learn
• Strong programming skills in Python and SQL
• BS, MS, or PhD in Computer Science, Mathematics, Statistics, or other quantitative fields, or related work experience

Benefits & Perks

• Comprehensive health plans (including Medical, Dental and Vision insurance for full-time employees)
• Unlimited PTO
• Competitive salary packages
• Life insurance
• Disability benefits
• Supplemental Optional Life Insurance Benefits
• FSA Options Optional
• HSA with Company Match
• 401k program with Company Match
• Fertility Assistance and Planning options
• Wellhub & ClassPass fitness platforms
• Comprehensive Pet Insurance options
• Financial Wellbeing & Student Loan Program access
• Access to additional Mental Health & Wellbeing resources
• Pre-tax Commuter/Transit Benefits
• Free Rocket Lawyer account with online access to an extensive legal documents library and brilliant licensed attorneys at discounted rates 

Interview Process:

• Recruiter Phone Screen
• Role Assessment(s)
• Hiring Manager Interview
• Panel Interviews
• Final Interview

We are seeking an experienced Software Engineering Manager to lead development efforts for complex semiconductor processing equipment and related control systems. This role requires strong hands-on technical expertise, leadership capability, and the ability to drive high‑quality software delivery across global, cross‑functional teams. You will manage a team of software engineers (local/remote), define strategy and roadmaps, and ensure the successful execution of software development for multiple product lines.

Key Responsibilities:

• Manage a software engineering team of roughly 5–10 engineers
• Strengthen team capability through cross‑training, mentorship, and structured development
• Lead mid‑size development projects (up to 5 engineers per team)
• Define and execute software development plans for assigned product lines
• Develop and maintain product software roadmaps
• Balance project portfolios to maximize technical and business impact
• Drive standardization of development processes, tools, KPIs, and best practices
• Ensure alignment and collaboration with global Software Directors, Product Management, Process Engineering, Platform Engineering, Manufacturing Engineering, and other stakeholders
• Maintain a strong partnership with software quality teams to ensure first‑time‑right, high‑quality releases
• Measure and maintain internal customer satisfaction
• Provide mentorship to junior engineers and contribute to department‑level process improvements
• Design, develop, and troubleshoot software for semiconductor equipment control systems
• Modify and improve existing software architectures
• Write, review, and maintain system specifications, software design documents, and test plans
• Investigate internal/external issues, conduct root‑cause analysis, and propose effective solutions
• Evaluate and recommend new tools and technologies for department adoption
• Participate in system‑level design discussions
• Support marketing with technical inputs for customer proposals and product specifications
• Provide onsite support as needed, including installations, training, and troubleshooting
• Create accurate development schedules and deliver to commitments
• Support department operations through policy creation, process updates, and continuous improvement initiatives

Education

• BS degree in Computer Science or related field with 10+ years of relevant experience.
• Advanced technical degree preferred.
• Equivalent combinations of education and experience will be considered.

Experience Requirements

• 10+ years of software development experience, including:
  • C++, C#, Python
  • Windows application development
  • Multi‑threaded and real‑time systems
  • Device drivers or interrupt‑driven software
  • Machine control systems in semiconductor or industrial automation environments

• Strong proficiency in C/C++/.NET
• Experience with software engineering tools including debuggers, source control, build systems, and text editors
• Ability to read, analyze, and translate existing code
• Strong system‑level thinking—capable of understanding how new functionality fits into complex equipment architectures
• Ability to interpret specifications, design documents, APIs, and interface requirements
• Ability to evaluate and adopt new tools and technologies to improve development efficiency

Preferred experience:

• Windows Embedded OS
• GUI development
• Data communication & networking
• Semiconductor industry standards (SEMI, etc.)

FSR Analyst

Minimum Secret Clearance Required

Locations: 

• Miami FL,
• Bragg NC,
• Vandenberg CA,
• CO Springs CO,
• Hawaii,
• Las Vegas NV,
• Newport News VA,
• San Diego CA,
• Camp Lejune NC,
• Washington DC,
• Shreveport LA
• Jacksonville FL,
• Tucson, AZ
• Fort Walton Beach, FL
• San Francisco, CA
• Juneau, Alaska

PVM, Inc. is looking for a skilled and experienced Field Service Representative (FSR) Analyst to join our team. In this role, you will partner with implementation teams to design, develop, and deploy advanced technical solutions that address our customers' most complex challenges. As an FSR Analyst, you will work directly with analysts to train and mentor users, troubleshoot technical issues, and create innovative use cases. Whether supporting users on-site worldwide or collaborating with colleagues in our offices, you will be instrumental in driving success and delivering meaningful results.

Responsibilities

• Deliver one-on-one desk-side training to analysts.
• Conduct classroom training sessions for analysts and operators.
• Support the Help Desk by addressing user inquiries and collaborating with the engineering team to resolve technical issues.
• Provide the engineering team with user feedback to enhance the product.  

Requirements

• Minimum of Secret Clearance
• Experience fusing intelligence capabilities in support of operations.

• Prior experience with Palantir Gotham required. Additional experience with Palantir Gaia and Palantir Foundry is a plus.
• Strong communication skills with the ability to break down, explain, and demonstrate complex concepts in an easy-to-understand manner.
• Ability to travel domestically and internationally 25% of the time.
• Ability to work independently and as part of a team.
• Strong knowledge of Excel.
• Military/Special Operation/Law Enforcement experience is a plus.

Tools

• Technical background with working knowledge of HTML, Ruby, Python and/or Java, as well hardware, networks, and server administration.

• Technical background with working knowledge of Python, Java and/or JavaScript/Typescript.

• Prior experience with Palantir Gotham required. Additional experience with Palantir Gaia and Palantir Foundry a plus.
• Strong knowledge of Excel

Skills

• Strong communication skills with the ability to break down, explain, and demonstrate complex concepts in an easy-to-understand manner
• Ability to travel domestically 25% of the time if needed
• Ability to work independently and as part of a team.

Why PVM?

At PVM, we mean it when we say we value diversity. As a PVM team member, you will work with people from all different backgrounds that are passionate about the problems we solve for our customers and are focused on delivering value for our clients. Our culture encourages problem solving, leadership, and innovation, and creates an environment that will support your professional and personal growth.

PVM delivers digital services that help government agencies unlock the power of their data for good and maximize the value of their technology investments. We design, develop, and deploy solutions to solve mission-critical problems. PVM is a black- and service-disabled veteran-owned small business and was founded by a retired Naval officer out of frustration with the status quo with one goal in mind: to help his fellow Shipmates solve the problems they were facing every day. Today, we continue to be driven by that same goal, and are focused on taking on our clients’ missions as our own to make a difference in the communities we serve.

PVM believes in equal opportunity employment. We won't discriminate against any employee or applicant based on race, gender, nationality, age, religion, disability, military status, or sexual orientation. As a company and as individuals, we're committed to providing an inclusive and welcoming environment for our team, our family members, and our clients.

WHAT WE DO

Our AI and Technology consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Agile Transformation
• Cloud and Technology Strategies
• DevOps
• Solution Design
• App Development

The ideal candidate’s experience may include but is not limited to the following:

• Knowledge and experience in one or more Cloud platforms (AWS, Microsoft Azure, Google Cloud, etc.)
• Knowledge and experience in one or more database platforms (i.e. SQL, DB2, Oracle, Postgres, MySQL, NoSQL, etc.)
• Knowledge and experience in multiple software development languages (i.e.  Java, Javascript, C#, C++, Python, etc)
• Knowledge and experience with one or more software frameworks (i.e. .Net, NodeJS, React, Angular. etc.)
• Knowledge and experience with IoT and Edge Computing strategies and concepts   
• Experience collaborating with clients to translate business requirements into technical requirements
• Experience leading and/or contributing at a significant level to project teams in best practices, design principles, and advanced technologies
• Knowledge and experience in both agile and waterfall project management methodologies 
• Experience leading Waterfall to Agile transformation projects of all sizes
• Coaching Agile process and best practices for teams and organizations

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity, and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings

The Company collects and uses Personal Information for human resources, employment, benefits administration, and business-related purposes.  To comply with our regulatory obligations under the California Consumer Privacy Act (“CCPA”), the Company is required to notify you of the Personal Information we collect.  To access our CCPA Policy including the categories of Personal Information we collect and the purposes for which we intend to use this information, please visit SEI's Privacy Policy.

WHAT WE DO

Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Data Strategy
• Data Governance
• Data Modernization
• Advanced Analytics
• Data Visualization

The ideal candidate’s experience may include but is not limited to the following:

• Have experience understanding and solving real business problems
• Have experience with presenting business case and strategy to the C-Suite
• Bring industry domain knowledge for custom data and analytics strategies
• Experience in designing and implementing data driven products and services
• Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:  

Data Strategy and Governance

• Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
• Proven experience in transforming our clients from on-prem data platforms to the cloud.
• Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
• Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
• Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
• Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
• Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering

• Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
• Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
• Ability to design and build complex data pipelines that either stream data in
• Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
• Experience and knowledge of data integration tools and platforms
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Ability to design and build data models using the appropriate technics to meet business objectives
• In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations

• Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
• Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
• Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
• Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings

The Company collects and uses Personal Information for human resources, employment, benefits administration, and business-related purposes.  To comply with our regulatory obligations under the California Consumer Privacy Act (“CCPA”), the Company is required to notify you of the Personal Information we collect.  To access our CCPA Policy including the categories of Personal Information we collect and the purposes for which we intend to use this information, please visit SEI's Privacy Policy.