Financial institutions process billions of transactions every day across cards, ACH, wires, and third party aggregators. But most of that data is difficult to use. Descriptions are inconsistent, merchant names don’t match, and categories vary by payment type.
Spade is a data and AI platform that turns messy transaction strings into structured, verified records — and gives teams the tools to act on it across authorization, attribution, analytics, and AI initiatives. Spade leads the market in terms of merchant coverage, matching accuracy, geolocation data, and speed of transaction enrichment. Customers such as, FIS, Bilt, Mercury, Stripe, alongside many other leaders in fintech and financial services, trust Spade's data to enable personalized rewards programs, accurate applied spending rules, precise analytics requests, and innovative AI-powered features.
Spade is a fast growing, Series B company backed by industry experts and top tier investors (including Oak HC/FT, a16z, Flourish Ventures, Y-Combinator, and Gradient Ventures). We’re a lean and execution-oriented hybrid team, passionate about building exceptional products for our growing customer base. We care deeply about diversity of background, experience, and opinion. We value empathy, curiosity, and passion, and strive to create an environment where individuals have autonomy and the ability to take ownership over their work.
What will you do?
As a Backend Engineer at Spade, you'll own the APIs and data systems that sit at the heart of our enrichment platform. You'll work across the full backend stack — from the developer-facing APIs our customers depend on, to the data pipelines and platform services that power our data science team. This is a high-ownership role on a small team, where your decisions directly shape the performance and reliability of products processing billions of transactions.
Collaborate on our technical vision to build a product customers love
Develop and maintain low-latency, massively-scalable developer-facing APIs and a robust data platform supporting our data science team
Design and implement systems that support the growth of the product and the company
Debug production issues across all levels of the stack
Bring a strong collaborative approach to deliver value to customers and internal stakeholders at Spade
What experience, skills, and qualifications are necessary?
Must-have:
4+ years of experience building and scaling backend Python-based systems in fast-paced environments
Proven capability with developing REST APIs and writing performant SQL
Experience building using AWS infrastructure
Experience building systems from scratch, making trade-offs, and executing autonomously in early-stage environments
A customer-focused mindset, strong problem solving skills, and the ability to navigate ambiguity while delivering value to customers
A collaborative mindset, the ability to be mentored, and a focus on your own growth trajectory
Based in NYC with ability to work out of our Flatiron office at least 2 days/week
Nice-to-have:
Proficiency in Django
Familiarity with data science and analytics tools such as Pyspark, Databricks and Delta Lake, and Hex
Experience with cloud infrastructure and tools like AWS CDK
Experience with transaction, merchant, and/or location data
Experience and/or interest in fintech and/or data products
Why join Spade?
Be a cultural founder. As an early employee, you’ll play a meaningful role in defining and building our culture.
Get in on the ground floor. We’re a small but well-funded team – joining now comes with limited risk and unlimited upside.
Build the next generation of financial infrastructure. Our products will power the next wave of innovation in fintech, helping our customers deliver better, more transparent products and services to the consumer.
Benefits include:
Competitive compensation and equity package
Full medical, dental, and vision benefits for US-based employees
Life & short-term disability insurance
Unlimited PTO
Early exercise program
Extended post-termination exercise period
401K for retirement planning
Hybrid team, with pet-friendly headquarters in NYC
Paid parental leave
Work from home stipend
Salary Range:
At Spade, we view total compensation as consisting of salary + equity + benefits. We recruit motivated and high performing talent, and work to compensate people in line with the value they bring to our team.
We aim to pay fairly and competitively, and consider a number of factors in developing compensation offers. These factors include years and breadth of experience, interview performance, market dynamics, and internal equity.
The anticipated base salary range for this role is listed above (in USD).
Diversity & Inclusion at Spade:
Spade is an equal opportunity employer, committed to building a culture that is diverse, equitable, and inclusive. We believe that having people with different backgrounds, experiences, abilities, and perspectives not only helps us build the best products for our customers, but also helps us be the best version of ourselves.
Listed by Spade for a position based in the United States. Employers on this board attest they are hiring domestically.
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Engineering Manager, Compensation Planning
San Francisco, CA
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Who We Are
At Pave, we're building the industry’s leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision.
Top tier companies like OpenAI, McDonald’s, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 80% of Forbes AI 50 use Pave to benchmark compensation.
The future of pay is real-time & predictive, and we’re making it happen right now. We’ve raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures.
The Compensation Planning Team @ Pave
The Compensation Planning team builds the products that help companies design, model, and run their annual and off-cycle compensation processes. This team owns one of Pave's highest-revenue product lines. As Engineering Manager, you'll lead the team responsible for the workflows that compensation and HR teams rely on to make accurate, defensible pay decisions at scale. You'll partner closely with Product and Design to shape the product roadmap, and with other engineering teams to align on the technical roadmap.
What You'll Do
Lead and grow an engineering team building the core planning and recommendation workflows used by compensation teams at companies like OpenAI, Databricks, and Atlassian
Manage the team while staying close to the code: you should be comfortable reviewing designs and diving into implementation details when needed
Drive the technical roadmap to help drive the product towards supporting companies with 150,000+ employees
Partner with Product and Design to translate complex compensation planning requirements into technical requirements
Ensure the accuracy and reliability of planning calculations, given the direct financial impact on customers' pay decisions
Align with other product and platform teams to reuse components, patterns, and shared data models
Communicate complex technical and compensation concepts clearly to both technical and non-technical stakeholders
Coach and mentor your team through regular, constructive feedback
What You'll Bring
7+ years of industry experience, including 2+ years of management experience on high-performing teams
Confidence diving into technical details and challenging designs or solutions
Demonstrated ability to lead and mentor teams through planning and execution of large technical projects spanning multiple quarters
Strong communication and interpersonal skills to provide clear direction, set expectations, and give actionable feedback
Ability to navigate ambiguity and tackle problems with high agency
Nice to have: experience with b2b saas and/or financial systems where correctness and auditability of calculations are critical
Compensation, It's What We Do.
At Pave, we believe compensation should be as thoughtful as the people we hire. Your total rewards package includes meaningful equity, best-in-class medical, dental, and vision coverage, unlimited PTO, and region-specific benefits designed around your life — not just your role. Your level and compensation are determined by your experience and how you show up throughout the interview process. We're always happy to walk you through how we think about leveling — just ask.
Targeted cash compensation for this role:
$195,500 - $264,500
Benefits @ Pave
At Pave, growth isn't a perk — it's the point. As you develop, your role expands, your responsibilities deepen, and your compensation reflects the impact you're making.
What we offer
Your Health, Fully Covered: Comprehensive medical, dental, and vision coverage for you and your family, with a range of options designed to meet you where you are.
Time That's Actually Yours: Flexible PTO and the freedom to work from anywhere in the world for up to a month — because life doesn't pause, and neither should you.
Fuel for the Work: Lunch and dinner stipends plus fully stocked kitchens, so you can stay energized without thinking twice about it.
Room to Keep Growing: A quarterly education stipend to invest in the skills and knowledge that matter most to you.
Support When It Matters Most: Robust parental leave so you can be fully present for the moments that count.
Getting Here, Made Easier: A commuter stipend to support the in-person collaboration that makes great work happen.
Life @ Pave
Founded in 2019 with a clear purpose and a team that has never wavered from it, Pave has grown into a global force in compensation management — giving thousands of companies the tools to take control, build confidence, and earn credibility in every pay decision they make. And we're just getting started. Headquartered in San Francisco's Financial District, with regional hubs in New York City's Flatiron District, Salt Lake City, Kraków (Poland), and the United Kingdom — wherever you're based, you'll find the same thing: people who genuinely care about the work, each other, and the customers that rely on Pave.
We run a hybrid culture that brings teams together in person 3 to 4 days a week — and every Friday, the whole company gathers for our Team Sync: breakfast, new hire welcomes, product updates, fireside chats, and yes, the occasional Kahoot. It's one of the things people notice when they join us — that we truly enjoy spending time together.
Our culture is shaped by five values we live every day:
Be Intellectually Honest — Truth over comfort. We face reality clearly and speak directly, even when it's hard.
Play to Win — We're not here to participate. We're here to be the #1 compensation platform in the world, and we act like it.
Uphold the Pave Platinum Standard — We hold ourselves to the highest bar — for our customers, our data, and each other.
One Team — We win and lose together. Titles don't drive decisions here — shared goals do.
Hug of Jawn — Hard to define, impossible to miss. Ask your recruiter.
Our Vision: Unlock a labor market built on trust.
Our Mission: Build confidence in every compensation decision.
We build software that transforms how companies pay their people — and we believe the team behind that software deserves the same thoughtfulness. If you're ready to help shape the future of compensation alongside people who are smart, humble, and genuinely motivated by the problem we're solving, we'd love to meet you.
Still deliberating? Just apply! We're always excited to meet people who are eager to contribute.
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Listed by Pave for a position based in the United States. Employers on this board attest they are hiring domestically.
Senior Staff Machine Learning Platform Engineer
Kitchener-Waterloo, ON; Remote - Ontario; Toronto, ON
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About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
Note: This role can also be performed remotely for candidates located in Ontario, Canada.
About this role
As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and lead complex, cross-functional initiatives that unlock data science velocity at scale. This role will also be key to adapting ML workflows to take advantage of modern AI productivity tools. You won’t just build models, you will architect the systems that allow those models to help tens of thousands of small retailers compete and grow their local businesses.
What You Will Do
Define and drive the long-term architecture of Faire’s ML platform including training, inference, feature management, governance
Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management, and observability
Lead adoption and advanced use of Unity Catalog, multi-workspace strategies, and data/ML mesh patterns
Architect highly scalable ML workflows using Spark, Delta Lake, and MLflow
Optimize performance, reliability, and cost of the ML platform
Evaluate and integrate emerging Databricks features
Stay ahead of the curve by engaging with the latest developments in machine learning and AI
Serve as senior ML technical advisor to Faire’s data science and production engineering teams
Represent Faire at ML conferences and meetups
Mentor ML engineers and raise the overall bar for Machine Learning at Faire
What it takes
10-12 years of experience building and improving large-scale ML or data platforms.
A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field.
Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization
Proven ability to design systems that support multiple data science teams and production workloads
Strong background in distributed systems, ML infrastructure, and cloud architecture.
Demonstrated technical leadership across teams and orgs; ability to influence without authority
Experience integrating LLM workflows into enterprise platforms is a plus
Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus
Tech Stack
Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following:
Category
Technologies
Languages
Python, SQL, Kotlin
ML Frameworks
PyTorch, PySpark, MLFlow
Big Data & Processing
Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL
Cloud & Infrastructure
AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform
Generative AI
Claude Sonnet 4.5, ChatGPT 5.2
Salary Range
Canada: the pay range for this role is $248,000 to $341,000 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.
This job posting is for an existing vacancy.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
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For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
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We believe the future is local. At the core of that future are our customers, a diverse and unique community of entrepreneurs who have taken a chance on themselves. We’re inspired by these dreamers who work today and every day for a better future for their communities. We are committed to building a community and sense of belonging here at Faire that reflects the customers we serve. We want to ensure that we hold ourselves to that commitment externally and internally because differences in perspectives, experiences, and ideas are what make us successful.
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Listed by Faire Wholesale, Inc. for a position based in the United States. Employers on this board attest they are hiring domestically.
Engineering
69 days ago
Product Support Engineer
Cartesia · San Francisco, California, United States
Product Support Engineer
LOCATION
*HQ - San Francisco, CA
EMPLOYMENT TYPE
Full time
LOCATION TYPE
On-site
DEPARTMENT
Product
COMPENSATION
Base Salary $100K – $150K • Offers Equity
Overview
Application
ABOUT CARTESIA
Our mission is to architect AI that learns from and interacts with the world like humans do.
We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.
We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.
ABOUT THE ROLE
We’re looking for a Product Support Engineer to help our customers succeed with our platform by solving complex, technical issues and providing world-class support. You’ll work directly with customers, partner closely with engineering and product teams at a cutting-edge AI company, and help shape the processes and tools that define our post-sales support. This is a hands-on role where your feedback will influence the roadmap, improve product reliability, and set the standard for how our customers experience Cartesia.
YOUR IMPACT
Serve as the primary point of contact for support inbound from numerous sources like Slack, Pylon, WhatsApp, and other messaging platforms.
Deliver white-glove support for our customers, diagnosing and resolving complex issues quickly and efficiently.
Collaborate cross-functionally with product, engineering, and customer teams to become a trusted technical partner.
Reproduce customer issues, perform first-pass triage, write clear bug reports, and help prioritize fixes to unblock users quickly.
Troubleshoot across the stack: API errors, model behavior, latency/reliability issues, and partner integrations.
Be a customer champion: give feedback on features, spot edge cases, and influence roadmap and quality standards.
Document solutions and patterns in runbooks and contribute to customer-facing documentation and best practices.
Build tooling and automations to resolve gaps and ease operations to efficiently resolve issues quickly.
WHAT YOU BRING
2–8 years in a technical support, product support, technical account management, or forward-deployed engineering role.
Strong technical troubleshooting skills with APIs, SDKs, logs, and integrations.
Familiarity with AI tooling, APIs, or agentic systems.
Comfortable reproducing issues, debugging errors, and collaborating with engineers to identify solutions.
A builder mentality: can identify chokepoints in process and tooling and build to close gaps.
Excellent written and verbal communication, able to distill complex technical problems for both internal teams and customers.
Calm under pressure and able to prioritize effectively when multiple customer issues arise simultaneously.
High ownership and collaborative mindset, excited to contribute to a small, fast-moving team.
NICE TO HAVE
Scripting experience in Python, JavaScript/TypeScript, or similar to reproduce, mock, or validate issues.
Experience in fast-moving startup environments where the product ships frequently and customers are often in early/beta.
Interest in tinkering with new features, debugging edge cases, and exploring workflows hands-on.
Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.
MORE DETAILS
🏢 In-office policy: We’re an in-person team based out of offices in 🇺🇸 San Francisco, 🇬🇧 London and 🇮🇳 Bangalore. We love being in the office, hanging out together, and learning from each other every day.
🌎 Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.
🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.
🤝 We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.
OUR BENEFITS (US EMPLOYEES ONLY)
💰 Compensation Competitive base salary alongside attractive equity package.
🩺 Health Insurance Fully covered medical insurance along with dental and vision for you and your family.
🧑🧑🧒🧒 Parental Leave 9 weeks paternity & 12 weeks maternity leave
🏦 401(k)
🚆 Commuter Allowance A monthly stipend to help you get to and from the office.
🏖️ Flexible PTO Take as much time as you need to recharge your batteries.
🍲 Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.
🦖 Your own personal Yoshi
OUR COMMITMENT TO EQUAL OPPORTUNITY
Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.
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Listed by Cartesia for a position based in the United States. Employers on this board attest they are hiring domestically.
AI
69 days ago
Sr. Manager, Field Engineering - High Tech and MFG
Sr. Field Technical Program Manager, Forward Deployed Engineering - Public Sector, Washington, D.C.. Join us! Together we can use data to solve the challenges of tomorrow
Listed by Databricks for a position based in the United States. Employers on this board attest they are hiring domestically.
Sr. Delivery Partner Manager, FDE, Central - United States; Northeast - United States; Southeast - United States. Join us! Together we can use data to solve the challenges of tomorrow
Listed by Databricks for a position based in the United States. Employers on this board attest they are hiring domestically.
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 TEAM
CorpTech Platform is the internal engineering force multiplier behind Anduril's corporate systems. It drives CorpTech engineering forward through strategic investment in data platforms, software platforms, QA and release excellence, ERP engineering, and AI infrastructure.
We build the foundations that power both CorpOS, enabling Finance and Growth to operate with speed and precision, and ArsenalOS, the digital backbone of Anduril's hardware enterprise. By unifying systems, accelerating development velocity, and embedding intelligence into every layer, CorpTech Platform transforms how the company operates end to end.
We are driving Anduril toward becoming an autonomous enterprise. Through initiatives like the Autonomous Software Factory, we are rethinking how software is built, tested, deployed, and evolved by integrating AI into the engineering lifecycle.
ABOUT THE JOB
Anduril runs on trusted data, and today too much of it means different things to different teams. The Product Manager, Semantic Layer & Ontology owns the product suite that lets us define, build, and maintain a single semantic layer: the shared metrics, dimensions, entities, and relationships that data engineering, analytics engineering, analytics, and master data management all build against. This is a hands-on role. You will submit code PRs with AI coding agents to extend the semantic models, ui, and tooling. You will sit at the seam of every data function, so the definitions you ship become the version of the truth the business reports on.
WHAT YOU'LL DO
Own product strategy, roadmap, and success metrics for the product suite that supports building and maintaining the semantic layer and ontology.
Partner across data engineering, analytics engineering, data analytics, and master data management to define shared metrics, dimensions, entities, and relationships once, then reuse them everywhere.
Turn conflicting definitions, data disputes, and modeling ambiguity into a governed source of truth that teams adopt.
Act as a hands-on builder by submitting code PRs with AI coding agents such as Claude Code for the semantic layer application.
Build and operate a feedback and triage loop for definition requests, data-quality issues, and adoption blockers.
Define governance and contribution standards for the ontology, including ownership, versioning, and change management, so the model stays coherent as sources and teams grow.
Balance a canonical master data model against the speed analytics and downstream teams need to ship.
Communicate modeling decisions, trade-offs, and data-quality risks to data teams, business stakeholders, and senior leadership.
Establish a model for AI-enabled product development where the PM contributes directly to the semantic layer without compromising lineage, reliability, or governance.
REQUIRED QUALIFICATIONS
5+ years of experience across product management and one or more data functions: data engineering, analytics engineering, data analytics, or master data management, in a fast-paced environment.
Demonstrated experience owning a data product, or working in a data technical function and pivoting into product.
Demonstrated builder orientation, including submitting code such as SQL, dbt, Python, or semantic-layer definitions, and shipping with AI coding agents.
Strong technical fluency in semantic layers, dimensional modeling, data pipelines, and the trade-offs between a governed model and local team speed.
Demonstrated ability to work across multiple data teams with competing definitions and align them on a shared model.
Ability to operate with high autonomy while maintaining judgment, communication, and alignment across data engineering, business partners, and leadership.
Excellent written and verbal communication skills, with the ability to influence senior engineers, data teams, and executive leadership.
Degree in Computer Science, Information Systems, Engineering, Statistics, or related field, or equivalent practical experience.
U.S. Person status is required as this position needs to access export controlled data.
PREFERRED QUALIFICATIONS
Hands-on experience with a semantic layer or metrics layer (dbt Semantic Layer, Cube, LookML, AtScale, Malloy, or similar) and modern warehouses such as Snowflake, BigQuery, or Databricks.
Experience owning or contributing to a master data management program, including entity resolution, golden records, and stewardship.
Familiarity with frontier AI tooling, AI coding assistants, and agentic development workflows applied to data and analytics.
Experience building against a data catalog, lineage, or governance tooling in a large or fast-growing data estate.
Familiarity with enterprise systems and business process domains such as ERP, CRM, finance, supply chain, or manufacturing.
Experience in hyper growth startup-like environments, with demonstrated success balancing speed, ambiguity, autonomy, and long-term data health.
Eligible to obtain and maintain a U.S. Secret security clearance.
US Salary Range
$166,000—$220,000 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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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.
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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