Jobs - Jobs4Americans

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

About the team

The Accounting Team is responsible for understanding and telling Stripe’s financial story and shaping our collective understanding of how Stripe is performing as a business. Our primary focus is maintaining a well-controlled environment that effectively supports corporate governance, financial reporting and disclosure requirements. We advise and enable Stripe to grow – supporting all products at Stripe, consulting on accounting implications and supporting teams’ ability to make informed strategic decisions. We operate in a fast-paced environment and collaborate significantly with cross-functional and international teams.

What you’ll do

Our Accounting team is seeking an innovative embedded technical resource to help us scale for the future, in a fast-paced environment that’s growing rapidly. You’ll leverage your accounting, artificial intelligence (AI), and technical expertise to build intelligent solutions that enhance Stripe’s accounting capabilities. You’ll develop AI-powered tools and models, autonomous agents, and data products that automate complex workflows and provide actionable insights within a framework of financial reporting control. Working at the intersection of artificial intelligence, accounting, and product development, you'll collaborate with engineering and finance teams to deploy cutting-edge AI applications that scale with Stripe's growth and support our mission of increasing the GDP of the internet.

Responsibilities

Apply your accounting and finance domain expertise to identify, explore, and prototype high-impact opportunities where AI can solve complex accounting challenges
Build using AI-powered tools and artificial intelligence solutions to automate accounting workflows, enhance controllership, and scale our operations
Design and deploy autonomous AI agents using frameworks that can reason, plan, and execute complex multi-step problems and enhance decision-making processes through understanding risk and maintaining effective financial reporting controls.
Ship and maintain interactive data products and self-service analytics tools using SQL and Python frameworks (data visualization and dashboards, low-code application building frameworks) that provide real-time insights and actionable intelligence
Work across Accounting and partner teams to uncover efficiency opportunities, including AI use cases, document requirements, and translate complex financial workflows into well controlled technical solutions
Partner with Accounting and SOX teams to assess and develop an effective internal controls approach to AI-based accounting solutions

Who you are

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

Minimum requirements

10+ years of relevant experience, with at least 4+ years of experience in accounting related or adjacent roles (e.g. finance systems, process improvement)
B.A. or B.S degree in Accounting, Finance, Finance Systems or Information Systems
Fluency in U.S. GAAP
Advanced proficiency in SQL, including writing complex queries, using CTEs (common table expressions), window functions, and joins for data analysis and pipeline logic
Familiarity with modern data tools (Python, Databricks, ETL/ELT processes, data pipelines) and coding with AI assistance
Comprehensive understanding of AI fundamentals and experience with emerging AI/LLM tools, conversational interfaces, prompt engineering, or automation platforms and RPA
Solution and results-oriented, with a focus on delivering impact in a fast-paced environment
Excellent communication and organizational skills, both written and verbal, with the ability to convey financial concepts to both financial and non-financial audiences
Experience with internal controls (design, implementation and execution)

Preferred qualifications

Familiarity with the payments industry and fintech landscape

Listed by Stripe for a position based in the United States. Employers on this board attest they are hiring domestically.

Analyst

36 days ago

Quality Analytics Site Lead

Anduril Industries · Ashville, Ohio, United States

Pay

$165k–218k

Setting

On-site

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Analytics Lead, Manufacturing Quality Ashville, Ohio, United States Apply Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE SITE Anduril, a leader in autonomous systems and weapons manufacturing, is building Arsenal-1, its first hyperscale manufacturing facility, just south of Columbus, Ohio in Pickaway County. Arsenal-1 is redefining the scale and speed that autonomous systems and weapons can be produced for the United States and its allies and partners. This is a monumental and essential step toward rebuilding America’s defense industrial base, strengthening America’s warfighting capabilities, and enhancing deterrence amid rising international threats. ABOUT THE TEAM Quality Intelligence supports data and AI in Anduril's manufacturing quality organization through three distinct areas: Analytics, Manufacturing AI, and Vision Inspection. Analytics owns end-to-end data and analytics work that directly drives impact for Anduril's product quality engineers on the factory floor. Our customers are program quality leaders, manufacturing engineers, and operators across sites and programs. The work encompasses building scorecards that catch quality drift before customers do, pipelines that turn ERP / MES / QMS data into decisions, and AI tools that compress hours of manual triage into minutes. We operate hub-and-spoke. HQ builds platform-grade analytics centrally; site engineers localize and run them at each manufacturing site. This is the site applications lead role at Arsenal-1, Anduril's high-volume manufacturing site in Ashville, OH. You are the resident analytics engineer at the site and the person accountable for what Quality Intelligence has deployed there. Most of this role is hands-on build; the rest is running the site as a program: gathering requirements from the floor, sequencing the work, driving rollouts to completion, and feeding what you learn back into the HQ roadmap. Arsenal 1 is a lighthouse site, so the patterns you set here become the template for the factories that follow. This role is subject to ITAR. Applicants must be eligible to obtain and maintain a U.S. Government security clearance. WHAT YOU’LL DO Intersection of Analytics and Manufacturing: You will operate at the intersection of hardware manufacturing and data analytics. You are not afraid to spend time on the shop floor analyzing quality workflows, building analytics tools for said workflows and implementing them in well-designed, actionable dashboards. Production Data: You'll pull from production systems (ERP, MES, QMS, inventory), build pipelines and ontologies in Palantir Foundry and Databricks, and partner with manufacturing engineers, ML practitioners, and program quality leads to ship analytics products operators depend on. Develop & Operate Analytics for Arsenal 1: You will design, build, and operate the production dashboards, pipelines, and quality metrics inspection-data analytics the site runs on. Arsenal 1 is greenfield, so you will collaborate closely with HQ to port over proven work. Well thought out decisions you make set the pattern for future programs. Run intake and priorities for the site: hold a standing feedback loop with operators, manufacturing engineers, and program quality. Turn what you hear into a prioritized, visible backlog — what you can configure this week, what needs HQ build time, and what we are deliberately not doing — and file crisp, evidence-backed asks back to HQ so the platform gets better. Investigate data quality: When a dashboard is inaccurate or a number looks wrong, you are the lead investigator. Deep-dive analysis in SQL and Python, trace problems through the stack, identify the root cause, and fix it at the source. Drive technical improvements: You will implement robust data-quality checks, validation rules, and automated monitoring directly in the pipelines. Your data is trusted because you made it provably trustworthy. Build AI-assisted analytics tools: small apps and workflows in Foundry / Databricks that reduce repetitive analyst work by 10x, grounded in what you have learned from operators on the floor. Lead data projects end-to-end: partner with cross-functional teams from requirements through deployment. Translate program quality leads' problems into data products that already exist or can be configured quickly and own the rollout. Drive adoption: a dashboard nobody opens is ineffective. You will train operators, run office hours, track usage, and treat adoption at Arsenal 1 as a deliverable you own, not a downstream side effect. AI Use: You will be expected to use AI aggressively in your own work: to draft pipelines, write tests, generate dashboards, explore unfamiliar data, and accelerate the repetitive parts of the job. Collaboration: Collaborate with cross-functional teams, which requires regular interaction with production and manufacturing stakeholders and frequently working directly on the production floor. REQUIRED QUALIFICATIONS Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related technical field from an accredited engineering program. 4+ years in a Data Engineer, Analytics Engineer, or similar role with at least 2 years applied data engineering experience in a manufacturing or hardware product engineering environment. You understand how manufacturing works: the workflows, the quality gates, and how manufacturing data drives or degrades quality outcomes. You are willing to work in and around manufacturing operations, including time on the production floor. Production experience with Foundry, Databricks or an equivalent cloud lake house. You have built and maintained pipelines and dashboards other teams depend on. Strong SQL on large, multi-source datasets: joins across heterogeneous systems, window functions, and performance tuning. Strong applied experience using AI (Cursor, Claude Code, Copilot, AIP) with ability to review AI-generated artifacts critically. You are aware of the mistakes AI tools can make, with a clear view of where they help and where they don't. Strong Python for data transformation and scripting (Pandas, PySpark, or equivalent). Demonstrated root-cause analysis on complex data issues. When a number looks wrong, you can trace it back through the stack and explain why. Eligible to obtain and maintain a U.S. Government security clearance (this role is subject to ITAR). You communicate plainly: to a director without jargon, to an engineer without losing precision. Based in or willing to relocate to the greater Columbus, OH area and work on-site at Arsenal 1 in Ashville, OH. Travel up to 25% to Anduril sites and vendors. U.S. citizenship is required pursuant to contractual obligations. PREFERRED QUALIFICATIONS Experience supporting analytics for hardware manufacturing (NPI, ramp, high-volume) across any of ERP (Oracle, NetSuite, SAP), MES, QMS, PLM (Teamcenter), or inventory / warehouse systems. Experience as an embedded or site-resident engineer at a manufacturing or industrial site, or standing up systems and data at a greenfield facility. Familiarity with quality methodologies: RCCA / 8D, FMEA, GD&T, IQC / OQC, control-plan design. Defense or regulated-manufacturing experience (ITAR, AS9100, IPC-610, MIL-STD-1916, or similar). Software engineering practices: Git, code review, CI, and testing data code with the same rigor as application code. Experience integrating LLMs or ML models into analytics workflows: RAG over operational data, AI-assisted triage, or agentic data exploration. Experience mentoring or leading a small team of engineers or analysts. US Salary Range $165,000 - $218,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security. Apply for this job * indicates a required field Autofill my application First Name* Last Name* Email* Phone Country* Phone* Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Website EXPORT CONTROLS - This position requires access to information and technology that is subject to U.S. export controls. Your responses to the questions below will be used solely to determine your eligibility under U.S. law to receive information and materials subject to U.S. export controls.* Select... Are you any of the following “protected individual(s)” as defined in the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)?: U.S. WORK AUTHORIZATION* Select... Are you authorized to work in the United States? Will you require sponsorship from Anduril for employment now or in the future (e.g, H1B visa)?* Select... HISTORY WITH ANDURIL* Select... Have you previously applied to a position at Anduril? Have you ever been employed by Anduril or any company that Anduril has acquired?* Select... CONFLICT OF INTEREST* Select... Do you currently, or have you in the last 5 years, worked for the US government (e.g., Congressional staffer, member of the military, state, or federal agencies) and had oversight or similar responsibility over Anduril’s business or other interests? How did you hear about Anduril?* Select... If other, please specify Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Anduril Industries’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Gender Select... Are you Hispanic/Latino? Select... Race & Ethnicity Definitions If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. 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Listed by Anduril Industries for a position based in the United States. Employers on this board attest they are hiring domestically.

Sales

36 days ago

Partner Sales Specialist

Replit · Foster City, California, USA

Pay

$120k–160k

Setting

Hybrid

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Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.

We're looking for a Partner Sales Specialist to help scale Replit's strategic partnership ecosystem into a repeatable and measurable revenue channel. This role sits at the intersection of Partnerships and Enterprise Sales, serving as the execution engine behind our co-sell motions with strategic partners including Microsoft, Google Cloud, Databricks, and future ecosystem partners.

You will work directly with Account Executives, Strategic Alliances, and partner field teams to identify opportunities, coordinate co-sell engagement, accelerate deal progression, and drive measurable business outcomes through partnerships.

This is a highly collaborative and externally facing role for someone who enjoys building relationships, working directly with sales teams, and turning strategic partnerships into pipeline and revenue. You'll play a critical role in helping Replit establish partnerships as a scalable enterprise growth channel.

What You'll Do

Drive enterprise co-sell motions across Replit's strategic partnerships, including Microsoft, Google Cloud, Databricks, and future ecosystem partners.
Partner closely with Account Executives to identify opportunities where strategic partners can accelerate customer acquisition, expansion, and procurement.
Build trusted working relationships with partner account teams to increase co-sell engagement and opportunity progression.
Conduct recurring account mapping exercises with strategic partners to identify whitespace opportunities and prioritize joint engagement.
Coordinate partner involvement throughout the sales cycle, ensuring opportunities receive appropriate partner support and visibility.
Drive partner sourced and partner influenced opportunities through active coordination, follow up, and stakeholder management.
Manage deal registration processes across partner portals, ensuring accurate and timely submission of opportunities to maximize partner program benefits and co-sell eligibility.
Collaborate closely with Sales, Strategic Alliances, Partner Operations, Marketing, Enablement, and partner stakeholders to ensure successful execution of partnership initiatives.
Help establish repeatable co-sell processes, operating rhythms, and best practices that can scale across Replit's partner ecosystem.
Maintain visibility into partner engagement across active opportunities and support accurate attribution of partner sourced and partner influenced pipeline.

Required Skills & Experience

5+ years of experience in enterprise sales, channel sales, partnerships, alliances, business development, partner management, or related go to market functions.
Experience working directly with enterprise Account Executives and sales organizations to drive pipeline and revenue outcomes.
Experience supporting enterprise co-sell motions with hyperscalers, cloud providers, ISVs, systems integrators, or strategic technology partners.
Strong understanding of enterprise sales cycles, opportunity management, and pipeline development.
Experience conducting account mapping, opportunity planning, and partner engagement activities.
Familiarity with deal registration processes and partner portal management across hyperscaler or ISV programs.
Strong relationship building skills and comfort working across both internal and external stakeholder groups.
Highly organized with the ability to manage multiple opportunities, priorities, and stakeholders simultaneously.
Experience operating in fast paced, high growth environments.
Excellent communication, coordination, and project management skills.
Strong Salesforce proficiency and familiarity with CRM driven sales processes.

Bonus Qualifications

Familiarity with Microsoft, Google Cloud, Databricks, or other enterprise technology ecosystems.
Familiarity with Azure Marketplace, Google Cloud Marketplace, private offers, hyperscaler procurement motions, and co-sell programs.
Experience supporting partner sourced or partner influenced revenue motions.
Experience working in SaaS, cloud infrastructure, developer tools, AI, or enterprise software companies.
Experience helping build repeatable partnership and co-sell programs from the ground up.
Passion for AI, developer tools, and helping enterprises transform how software gets built.

This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.

Full-Time Employee Benefits Include:

💰 Competitive Salary & Equity

💹 401(k) Program with a 4% match (US Only)

⚕️ Health, Dental, Vision and Life Insurance

🩼 Short Term and Long Term Disability

🚼 Paid Parental, Medical, Caregiver Leave

🏝 Flexible Time Off (FTO) + Holidays

🚗 Commuter Benefits (In-Office & US Only)

📱 Monthly Wellness Stipend

🧑‍💻 Autonomous Work Environment

🖥 In Office Set-Up Reimbursement (In-Office Only)

🚀 Quarterly Team Gatherings

☕ In Office Amenities (In-Office Only)

Want to learn more about what we are up to?

Interviewing + Culture at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Listed by Replit for a position based in the United States. Employers on this board attest they are hiring domestically.

SaaS

36 days ago

Staff Forward Deployed Engineer

Matillion · Manchester

Pay

Not listed

Setting

Remote

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🍪 dismiss Privacy Notice This website uses cookies to improve your web experience. By using the site, you agree to the use of cookies. Staff Forward Deployed Engineer ManchesterEngineering – Software Development /Full Time /Remote APPLY FOR THIS JOB Are you ready to shape the future of data? Matillion is the company behind Maia, the AI Data Automation platform. In the AI economy, demand for data is exploding. Manual data engineering can’t keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco, DocuSign, and Slack are already using it to deliver real business impact, faster. We started in Manchester and now we’re global - with teams across the UK, US and India. We are driven, curious, energetic people who move fast, think big and hold ourselves to a high standard. We’re here to make a dent in the universe bigger than ourselves. And we’re looking for people who want to be part of it. The Staff Forward Deployed Engineer is the senior operator we put on our most significant and complex Maia rollouts and expansions. Working primarily remotely with our distributed teams and on-site when it counts, they own these engagements end to end, architecting and building production-grade solutions, modifying Matillion’s own product code where the platform needs it, and holding the highest engineering bar under real delivery pressure. A true force multiplier, they work at every level and across Sales, Product, Engineering, and Customer Success: earning technical wins, acting as a hands-on escalation point to Customer Success, and driving adoption and expansion in their accounts. They ship quickly and to standard in a low-friction way, turn their work into reusable assets and product feedback, and mentor the FDEs coming up behind them. What you will be doing: Owning end-to-end customer engagements by running discovery, architecting multi-cloud deployments, writing production-grade code, and guiding projects through to production cut-over. Building complex data pipelines, models, and integrations across cloud data platforms to ensure customers achieve the core outcomes they adopted Maia for. Modifying Matillion’s underlying codebase directly when native platform features are missing, adhering to strict engineering, security, and quality standards. Delivering fast, pragmatic MVPs by diagnosing real underlying customer problems, questioning initial requirements, and shrinking scope to accelerate platform adoption. Cultivating executive trust and serving as a cross-functional catalyst across Sales, Product, Engineering, and Customer Success to resolve complex escalations at the first point of contact. Enabling total customer self-sufficiency by training internal champions and creating clear handover documentation for Customer Success and Support teams upon project exit. Securing technical wins during pre-sales cycles through technical discovery, proof-of-concept deliveries, objection handling, and joint strategy work with Account Executives. Influencing product evolution by identifying repeating delivery patterns, submitting structured product feedback, and building reusable implementation frameworks that minimize future custom work. Working agentic-first by integrating AI tools across the entire delivery lifecycle while setting clear quality validation standards for AI-generated outputs. Elevating team performance by mentoring junior engineers, shaping hiring standards, refining delivery processes, and continuously updating expertise in emerging AI and cloud tech. What we are looking for: 5+ years of experience in production-grade software development and data integration, featuring expert Python, SQL, and object-oriented skills (Java/Go) for designing reusable architectures and refactoring complex codebases. Deep knowledge of distributed systems, data architecture, CI/CD, Kubernetes, secure enterprise networking, and at least one major cloud provider (AWS, Azure, or GCP). Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product estate. Disciplined use of AI tools across the delivery process with the ability to validate output, supported by optional experience in production LLMs, RAG, and AI agents. Proven background in customer-facing technical delivery, spanning pre-sales technical discovery, hands-on implementation, and escalation management. Excellent communication skills to connect with both C-suite executives and technical developers during complex debugging sessions. Strong engineering judgment and systems thinking to make sound architectural trade-offs between speed, scalability, and maintainability under ambiguity. Execution bias and high autonomy to deliver working production systems independently in high-pressure environments. Deep customer empathy and rapport-building capabilities that establish long-term trust with technical teams and executive stakeholders. Founder mentality and a multiplier mindset to take full ownership of outcomes while elevating the performance of surrounding team members. At Matillion, we are committed to providing compensation in line with market standards based on the role, job family, job level and country. This role's estimated annual salaried pay range for this position is £84,160 - £126,240. The final salary will be based on your relevant skills, experience and qualifications demonstrated in the hiring process. More about Matillion We operate a flexible working culture that promotes work-life balance, with benefits including: Company Equity 30 days holiday + bank holiday 5 days paid volunteering leave Private Health Insurance Life Insurance Pension Access to mental health support Your Safety Matillion recruiters will only contact you from @matillion.com email addresses. We occasionally work with trusted recruiting partners; they will always tell you they are working on our behalf. We will never ask for money, fees, or bank details at any point in the hiring process. If something feels off, trust that instinct. Don't click any links. Go straight to matillion.com/careers to verify open roles or reach us at talent@matillion.com. Want to know more? Don't tick every box? Apply anyway. We hire for potential, not just experience. A member of our Talent Acquisition team will be in touch. Cannot find anything suitable role right now? We still want to hear from you. Drop us a line at talent@matillion.com. Find out more about life on #TeamGreen here. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. APPLY FOR THIS JOB Matillion Home Page Jobs powered by

Listed by Matillion for a position based in the United States. Employers on this board attest they are hiring domestically.

Analyst

36 days ago

Quality Analytics Site Lead

Anduril Industries · Ashville, Ohio, United States

Pay

$165k–218k

Setting

On-site

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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

ABOUT THE SITE

Anduril, a leader in autonomous systems and weapons manufacturing, is building Arsenal-1, its first hyperscale manufacturing facility, just south of Columbus, Ohio in Pickaway County. Arsenal-1 is redefining the scale and speed that autonomous systems and weapons can be produced for the United States and its allies and partners. This is a monumental and essential step toward rebuilding America’s defense industrial base, strengthening America’s warfighting capabilities, and enhancing deterrence amid rising international threats.

ABOUT THE TEAM

Quality Intelligence supports data and AI in Anduril's manufacturing quality organization through three distinct areas: Analytics, Manufacturing AI, and Vision Inspection. Analytics owns end-to-end data and analytics work that directly drives impact for Anduril's product quality engineers on the factory floor. Our customers are program quality leaders, manufacturing engineers, and operators across sites and programs. The work encompasses building scorecards that catch quality drift before customers do, pipelines that turn ERP / MES / QMS data into decisions, and AI tools that compress hours of manual triage into minutes.

We operate hub-and-spoke. HQ builds platform-grade analytics centrally; site engineers localize and run them at each manufacturing site. This is the site applications lead role at Arsenal 1, Anduril's high-volume manufacturing site in Ashville, OH. You are the resident analytics engineer at the site and the person accountable for what Quality Intelligence has deployed there. Most of this role is hands-on build; the rest is running the site as a program: gathering requirements from the floor, sequencing the work, driving rollouts to completion, and feeding what you learn back into the HQ roadmap. Arsenal 1 is a lighthouse site, so the patterns you set here become the template for the factories that follow.

This role is subject to ITAR. Applicants must be eligible to obtain and maintain a U.S. Government security clearance.

WHAT YOU’LL DO

Intersection of Analytics and Manufacturing: You will operate at the intersection of hardware manufacturing and data analytics. You are not afraid to spend time on the shop floor analyzing quality workflows, building analytics tools for said workflows and implementing them in well-designed, actionable dashboards.
Production Data: You'll pull from production systems (ERP, MES, QMS, inventory), build pipelines and ontologies in Palantir Foundry and Databricks, and partner with manufacturing engineers, ML practitioners, and program quality leads to ship analytics products operators depend on.
Develop & Operate Analytics for Arsenal 1: You will design, build, and operate the production dashboards, pipelines, and quality metrics inspection-data analytics the site runs on. Arsenal 1 is greenfield, so you will collaborate closely with HQ to port over proven work. Well thought out decisions you make set the pattern for future programs.
Run intake and priorities for the site: hold a standing feedback loop with operators, manufacturing engineers, and program quality. Turn what you hear into a prioritized, visible backlog — what you can configure this week, what needs HQ build time, and what we are deliberately not doing — and file crisp, evidence-backed asks back to HQ so the platform gets better.
Investigate data quality: When a dashboard is inaccurate or a number looks wrong, you are the lead investigator. Deep-dive analysis in SQL and Python, trace problems through the stack, identify the root cause, and fix it at the source.
Drive technical improvements: You will implement robust data-quality checks, validation rules, and automated monitoring directly in the pipelines. Your data is trusted because you made it provably trustworthy.
Build AI-assisted analytics tools: small apps and workflows in Foundry / Databricks that reduce repetitive analyst work by 10x, grounded in what you have learned from operators on the floor.
Lead data projects end-to-end: partner with cross-functional teams from requirements through deployment. Translate program quality leads' problems into data products that already exist or can be configured quickly and own the rollout.
Drive adoption: a dashboard nobody opens is ineffective. You will train operators, run office hours, track usage, and treat adoption at Arsenal 1 as a deliverable you own, not a downstream side effect.
AI Use: You will be expected to use AI aggressively in your own work: to draft pipelines, write tests, generate dashboards, explore unfamiliar data, and accelerate the repetitive parts of the job.

REQUIRED QUALIFICATIONS

Bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related technical field from an accredited engineering program.
4+ years in a Data Engineer, Analytics Engineer, or similar role with at least 2 years applied data engineering experience in a manufacturing or hardware product engineering environment.
You understand how manufacturing works: the workflows, the quality gates, and how manufacturing data drives or degrades quality outcomes. You are willing to work in and around manufacturing operations, including time on the production floor.
Production experience with Foundry, Databricks or an equivalent cloud lake house. You have built and maintained pipelines and dashboards other teams depend on. Strong SQL on large, multi-source datasets: joins across heterogeneous systems, window functions, and performance tuning.
Strong applied experience using AI (Cursor, Claude Code, Copilot, AIP) with ability to review AI-generated artifacts critically. You are aware of the mistakes AI tools can make, with a clear view of where they help and where they don't.
Strong Python for data transformation and scripting (Pandas, PySpark, or equivalent).
Demonstrated root-cause analysis on complex data issues. When a number looks wrong, you can trace it back through the stack and explain why.
Eligible to obtain and maintain a U.S. Government security clearance (this role is subject to ITAR).
You communicate plainly: to a director without jargon, to an engineer without losing precision.
Based in or willing to relocate to the greater Columbus, OH area and work on-site at Arsenal 1 in Ashville, OH.
Travel up to 25% to Anduril sites and vendors.

PREFERRED QUALIFICATIONS

Experience supporting analytics for hardware manufacturing (NPI, ramp, high-volume) across any of ERP (Oracle, NetSuite, SAP), MES, QMS, PLM (Teamcenter), or inventory / warehouse systems.
Experience as an embedded or site-resident engineer at a manufacturing or industrial site, or standing up systems and data at a greenfield facility.
Familiarity with quality methodologies: RCCA / 8D, FMEA, GD&T, IQC / OQC, control-plan design.
Defense or regulated-manufacturing experience (ITAR, AS9100, IPC-610, MIL-STD-1916, or similar).
Software engineering practices: Git, code review, CI, and testing data code with the same rigor as application code.
Experience integrating LLMs or ML models into analytics workflows: RAG over operational data, AI-assisted triage, or agentic data exploration.
Experience mentoring or leading a small team of engineers or analysts.

US Salary Range

$165,000—$218,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:

Benefits

At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.

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Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

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To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.

By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.

Listed by Anduril Industries for a position based in the United States. Employers on this board attest they are hiring domestically.

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