About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a highly motivated and detail-oriented Manager, Corporate Accounting to lead key aspects of our accounting operations in a fast-paced environment. This role will own the integrity and efficiency of the close process, drive automation and system enhancements, and partner cross-functionally with Technical Accounting, Engineering, and Finance teams.

You will play a critical role in scaling accounting operations, improving processes, and ensuring accurate and timely financial reporting as the company grows.

This is a full-time position based out of our Denver or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use:

Netsuite, Coupa, FloQast, BigQuery, AI Tools

What You’ll Do:

Team Leadership & Development

• Manage, mentor, and develop a team of corporate accountants, fostering a high-performance and continuous improvement culture

• Establish clear goals, priorities, and accountability across the team

• Drive process standardization and documentation to support scalability

Close & Financial Reporting

• Own and manage the monthly, quarterly, and annual close processes, ensuring accuracy and timeliness

• Review journal entries, account reconciliations, and flux analyses

• Ensure compliance with US GAAP and internal accounting policies

• Partner with Technical Accounting on complex accounting areas and new business initiatives

Systems, Automation & Process Improvement

• Lead initiatives to automate and streamline accounting workflows, reducing manual effort and risk

• Collaborate with Engineering and Data teams to enhance data pipelines and reporting accuracy

• Drive system integrations and improvements across financial systems

Cross-Functional Collaboration

• Partner closely with Technical Accounting on policy implementation, revenue recognition considerations, and complex transactions

• Work with Engineering and Data teams to improve data integrity, automate reporting, and support scalable infrastructure

• Collaborate with FP&A, Procurement, and other stakeholders to align on financial insights and operational needs

Controls & Compliance

• Strengthen and maintain internal controls over financial reporting

• Support audit processes (internal and external), including preparation of schedules and documentation

• Ensure compliance with SOX and company policies

Skills We’re Looking For:

• Bachelor’s degree in Accounting or Finance; CPA strongly preferred

• 5–7+ years of accounting experience, with a mix of public accounting and industry preferred

• Prior experience in a SaaS or high-growth technology company

• Proven experience managing and developing teams

• Strong understanding of month-end close, general ledger, and financial reporting processes

• Hands-on experience with NetSuite and close automation tools (e.g., FloQast)

• Experience working with large datasets or data tools (e.g., BigQuery) is a plus

• Demonstrated ability to drive process improvements and automation initiatives

• Strong cross-functional communication skills, especially with technical teams

Bonus Skills​:

• Exposure to AI tools (e.g., ChatGPT, Claude) for workflow or productivity enhancements

#LI-HYBRID #LI-JG1

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a highly motivated and detail-oriented Manager, Corporate Accounting to lead key aspects of our accounting operations in a fast-paced environment. This role will own the integrity and efficiency of the close process, drive automation and system enhancements, and partner cross-functionally with Technical Accounting, Engineering, and Finance teams.

You will play a critical role in scaling accounting operations, improving processes, and ensuring accurate and timely financial reporting as the company grows.

This is a full-time position based out of our Denver or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use:

Netsuite, Coupa, FloQast, BigQuery, AI Tools

What You’ll Do:

Team Leadership & Development

• Manage, mentor, and develop a team of corporate accountants, fostering a high-performance and continuous improvement culture

• Establish clear goals, priorities, and accountability across the team

• Drive process standardization and documentation to support scalability

Close & Financial Reporting

• Own and manage the monthly, quarterly, and annual close processes, ensuring accuracy and timeliness

• Review journal entries, account reconciliations, and flux analyses

• Ensure compliance with US GAAP and internal accounting policies

• Partner with Technical Accounting on complex accounting areas and new business initiatives

Systems, Automation & Process Improvement

• Lead initiatives to automate and streamline accounting workflows, reducing manual effort and risk

• Collaborate with Engineering and Data teams to enhance data pipelines and reporting accuracy

• Drive system integrations and improvements across financial systems

Cross-Functional Collaboration

• Partner closely with Technical Accounting on policy implementation, revenue recognition considerations, and complex transactions

• Work with Engineering and Data teams to improve data integrity, automate reporting, and support scalable infrastructure

• Collaborate with FP&A, Procurement, and other stakeholders to align on financial insights and operational needs

Controls & Compliance

• Strengthen and maintain internal controls over financial reporting

• Support audit processes (internal and external), including preparation of schedules and documentation

• Ensure compliance with SOX and company policies

Skills We’re Looking For:

• Bachelor’s degree in Accounting or Finance; CPA strongly preferred

• 5–7+ years of accounting experience, with a mix of public accounting and industry preferred

• Prior experience in a SaaS or high-growth technology company

• Proven experience managing and developing teams

• Strong understanding of month-end close, general ledger, and financial reporting processes

• Hands-on experience with NetSuite and close automation tools (e.g., FloQast)

• Experience working with large datasets or data tools (e.g., BigQuery) is a plus

• Demonstrated ability to drive process improvements and automation initiatives

• Strong cross-functional communication skills, especially with technical teams

Bonus Skills​:

• Exposure to AI tools (e.g., ChatGPT, Claude) for workflow or productivity enhancements

#LI-HYBRID #LI-JG1

WHAT YOU’LL DO

Viant is seeking a highly skilled and self-motivated Technical Account Manager to serve as a strategic post-sales thought leader for our most important clients. This role sits at the intersection of technology, measurement, and client strategy, partnering closely with Sales Engineering, Account Management, and product teams to deepen relationships, elevate technical maturity, and accelerate adoption of Viant’s advanced measurement and data solutions. You will play a critical role in scaling strategic accounts post-sale, translating complex technical and measurement capabilities into clear business value, and helping clients fully realize the long-term impact of Viant’s platform.

This role is ideal for someone who thrives as a trusted advisor, enjoys shaping solution strategy, and can influence outcomes across both internal and external stakeholders. The ideal candidate will have a combination of exceptional project management and client service skills, as well as knowledge of the advertising technology landscape. You should have a strong understanding of client service best practices and end-to-end solutions delivery.

THE DAY-TO-DAY

• Serve as a strategic technical thought leader in the post-sale lifecycle, partnering with Account Management to grow adoption, expand use cases, and retain and upsell key accounts.
• Act as a trusted advisor to senior client stakeholders by aligning Viant’s measurement and data solutions to broader business objectives.
• Partner closely with Sales Engineering to ensure continuity of solution strategy from pre-sale handoff through execution and optimization.
• Collaborate with Sales, Business Intelligence, and Operations teams to unblock complex challenges and deliver high-impact solutions for strategic accounts.
• Lead client measurement strategy across Viant Advanced Reporting and third-party measurement solutions to improve insight quality, performance understanding, and ROI.
• Scope and deliver custom reporting solutions that enable advanced analysis, executive-level storytelling, and long-term measurement evolution.
• Develop training materials and documentation to level up internal Sales and Account teams and strengthen post-sale execution.
• Use Google BigQuery SQL to investigate data discrepancies, validate data integrity, and surface actionable insights that inform optimization and decision-making.

GREAT TO HAVE

• 4+ years of experience in Technical Account Management, Account Management, Project Management, Ad Operations, or related roles
• 2+ years experience with Ad Tech platforms such as demand-side platforms (DSPs), data management platforms (DMPs), Customer Data Platform (CDP), and/or clean rooms technology
• Strong understanding of the ad tech ecosystem, including DSPs, ad serving, programmatic buying, onboarding, and measurement
• Ability to clearly articulate complex technical and measurement concepts to both technical and non-technical audiences
• Proficiency in SQL (Google BigQuery preferred) and cloud-based analytics tools
• Strategic mindset with a bias toward action; comfortable operating in ambiguity and influencing without authority

LIFE AT VIANT

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

#LI-SK1

About the opportunity

We are seeking a Data Engineer to help design, build, and scale modern data solutions that power analytics, operational reporting, and business decision-making across the company. You will work closely with our data, analytics, and business teams to develop high-quality data pipelines, models, and integrations that deliver clean, reliable, and actionable data.

You will join a small, cross-geography engineering team operating with a product mindset - delivering iterative value, partnering closely with business and analytics stakeholders, and owning both build and run responsibilities of a mission-critical platform.

What to expect?

• Design, build, and maintain scalable data pipelines and transformations across multiple systems and sources.
• Develop high-quality data models that support analytics, reporting, and operational use cases.
• Partner with analytics, product, and business stakeholders to understand data needs and translate them into technical solutions.
• Implement strong data quality, validation, and monitoring processes to ensure reliability and trust in the data.
• Optimize data storage, processing, and performance within cloud data warehousing environments.
• Contribute to the development and evolution of our modern data platform, including tooling, standards, and best practices.
• Support data platform operations—troubleshooting issues, improving reliability, and ensuring SLAs are met.
• Collaborate with cross-functional partners on governance, documentation, definitions, and data stewardship.
• Implement CI/CD practices and Infrastructure-as-Code (IaC) to automate deployment, testing, and environment management.
• Participate in code reviews, design discussions, and operational on-call rotations as needed.

What do you need to be successful?

Required

• 3–6+ years of experience in Data Engineering or a similar technical role.
• Strong SQL skills and experience working with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery).
• Experience building and maintaining ETL/ELT pipelines using tools such as dbt, Airflow, or similar frameworks.
• Proficiency in Python or another scripting language.
• Strong understanding of data modeling, data structures, and modern data architecture patterns.
• Experience with CI/CD workflows, version control (Git), and Infrastructure-as-Code tools (Terraform a plus).
• Familiarity with data governance, quality, lineage, and cataloging concepts and tools.
• Demonstrated ability to collaborate with analysts, engineers, and business partners in a cross-functional environment.
• Excellent communication skills and a product-focused mindset.

Preferred

• Experience with monitoring/observability tools (e.g., Monte Carlo, Datadog).
• Experience with BI tools such as Tableau or Looker.
• Background in distributed systems, APIs, or event-based architectures.
• Exposure to data security, compliance, or privacy frameworks.
• Experience utilizing AI for development.

What we're looking for

• A builder who enjoys solving complex data challenges with clean, reliable, scalable solutions.
• A collaborator who thrives in cross-functional environments and communicates clearly.
• A problem-solver who cares about quality, consistency, and long-term maintainability.
• Someone who wants to make a measurable impact by empowering data-driven decision-making across the company.

What's in it for you?

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

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

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

The application deadline is 05/23/26

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

Colorado Salary Range: $119,000-$161,000

About the Role

The Challenge

Do you know what it takes to evolve "some dbt models" into a fully governed, well-tagged data platform that every function in the company trusts? Are you ready to take IaC from 60% to 100% coverage while building multi-region resiliency for sensitive financial data?

The Team and Scope

As our Data and Platform Engineering Manager, you'll lead a team of six engineers — three data and three platform — reporting directly to the CTO. You'll steward the full lifecycle from raw ingestion to governed data assets, while growing Caribou's GCP infrastructure toward complete automation and cost efficiency. This role sits at the heart of Caribou's engineering leadership team — a meaningful seat at the table as we scale toward our next stage.

Our Stack and Philosophy

We're on GCP (GKE, Cloud Storage, CloudSQL, BigQuery, Cloud Composer) and use dbt and Pulumi. We care more about your engineering fundamentals and curiosity than your specific history with these tools. If you're experienced in AWS, Snowflake, or Terraform and excited to apply those principles to our stack, we want to talk to you.

Your First 90 Days

Your primary mission will be to lead your data engineers, alongside our analytics and data science teams, in maturing our medallion and marts architecture. We aim to deliver material protection against data evolution for the organization by the second half of 2026.

What You Will Do

• Shape the architectural vision for our data platform, ensuring high-quality, self-service data assets across all business functions
• Lead the SDLC for your team, delivering platform and infrastructure improvements consistently and with clear communication
• Strengthen Caribou's GCP infrastructure by growing IaC coverage, optimizing cloud spend, and building platform resiliency
• Collaborate with Analytics and Product to understand platform needs and translate that context into a prioritized roadmap
• Mentor and coach engineers to deepen their expertise across data modeling, platform engineering, and technical leadership
• Help shape Caribou's engineering culture, contributing a perspective that touches every part of the business

Candidates are welcome to work remotely from the states of AZ, CO, DC, IL, MD, TX, and VA with a preference for the Chicago IL, Denver CO, or Phoenix AZ areas.  Caribou does provide the option to work in-office or hybrid from our Denver, CO or Chandler, AZ offices.  We may consider remote candidates in CA, FL, MA, NY, OR, WA, and WI, subject to additional approval. Eligibility by state is subject to change.  

Please let us know if you need accommodations at any point during the interview process.

What We Look For

• Experience leading engineers who build and mature data platforms — from raw ingestion pipelines through governed assets business teams rely on
• Fluency with the modern data stack: dbt, a cloud warehouse (BigQuery or equivalent), orchestration tooling, and sound data modeling patterns
• Cloud infrastructure fluency — IaC tooling (Terraform or equivalent), cost discipline, and the operational rigor a regulated financial environment demands
• Collaborative leaders who favor context over command and control, measuring success by the growth of those around them
• Curious, life-long learners equally at home in a data modeling discussion and a deep infrastructure review, bringing the same rigor to both.

We know strong candidates rarely check every box, and backgrounds in this space take many shapes — analytics engineers who grew into platform ownership, SREs who moved into data, DevOps practitioners who found their way to EM. If this role excites you, we'd love to hear from you.

Interview Roadmap:

• Recruiter phone interview (30 mins)
• At-home coding assessment (60 mins)
• Hiring Manager video interview (60 mins)
• Final interview loop - (4) one-hour video interviews scheduled across 1-4 business days

How we will take care of you

Everyone at Caribou is a valued team member. Our compensation and benefits package includes: 

• Competitive compensation: $175k - $215k
• Eligible for annual performance based bonus
• Equity options
• 401k savings program
• Generous paid time off including: Flexible Time Off (FTO) for all employees and 100% paid parental leave for all parents.
• Robust wellness benefits including company-paid plans for health, dental, vision, mental health, disability and basic life insurance.
• Optional benefits to suit your individual circumstances such as HSAs, FSAs, supplemental life and medical insurance, and pet insurance.
• Up to $1,000 per year for eligible professional development expenses.

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

• 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
• Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
• Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
• Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
• Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
• Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
• Proven ability to optimize performance and cost across data workflows and storage systems
• Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
• Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
• Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $166,400 - $208,000

*This is a remote role

#LI-Remote

ABOUT THIS OPPORTUNITY

onX is seeking a Senior Geospatial Analyst to support the Offroad vertical, you will play a critical role in ensuring that Offroad-related geospatial content moves reliably through onX systems and into customers’ hands. You will collaborate closely with Offroad Product Managers, a Geospatial Project Manager, as well as with developers to execute geospatial work that supports the Offroad product roadmap.

This role is focused on implementation and delivery. You will apply strong technical judgment to build, maintain, and validate geospatial datasets and pipelines that are performant, scalable, and trustworthy.

This role lives within the Content domain, which is responsible for cartography, data processing, data analysis, and data sourcing across onX. You will be part of a broader team of Geospatial Analysts, Geospatial Project Managers, and Engineers supporting multiple verticals across the organization. This role reports to a Geospatial Manager.

This is a unique opportunity to lead mapping innovation at a company passionate about outdoor recreation and technical excellence.

WHAT YOU'LL DO
^{Essential Job Duties & Functions}

• Serve as the Senior Geospatial Analyst supporting the Offroad vertical, owning the technical approach, sequencing, and delivery of geospatial work defined by the Offroad Geospatial Project Manager.
• Execute geospatial work that supports connected content initiatives by implementing datasets and workflows that enable Offroad content to be used consistently across multiple product features and experiences.
• Support content trust initiatives by executing audits, refreshes, and cleanup of high-impact Offroad datasets, applying technical judgment to ensure content is accurate, maintainable, and fit for long-term use, including identifying dataset candidates for update, replacement, or retirement.
• Leverage existing geospatial pipelines and contribute to the improvement and development of new processes as needed, ensuring reliable delivery of data from source systems into customer-facing products and services.
• Lead complex geospatial processing and analysis such as multi-source data integration, conflation, and large-scale QA/QC, applying expert judgment to resolve ambiguity and edge cases.
• Use Claude Code and other AI tools to generate, optimize, and automate geospatial workflows, including feature extraction, segmentation, classification, conflation, and QA.
• Proactively identify data quality risks, pipeline gaps, or platform limitations and surface recommendations to the Offroad Geospatial Project Manager.
• Analyze data, create dashboards, and monitor data health metrics to provide insights that inform business decisions and support overall product health.
• Research and evaluate geospatial data sources, making recommendations for new sources or improvements to existing ones.
• Partner closely with engineers to ensure geospatial solutions are performant, maintainable, and aligned with platform best practices.
• Own the end-to-end execution quality of assigned initiatives, from intake through production release and post-launch validation.
• Use version control (Git) and collaborative workflows to drive consistency and repeatability across the broader Geospatial team.
• Provide technical guidance and informal mentorship to other Geospatial Analysts as needed.
• Communicate clearly and confidently about technical decisions, risks, and progress to cross-functional partners.
• Other ad hoc duties as assigned by the Supervisor.Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.

WHAT YOU’LL BRING

• Bachelor’s degree in Geospatial, Geospatial Engineering, Computer Science, Hydrology, Geography, or related field; or equivalent technical experience.
• 8+ years of geospatial industry experience, including dataset sourcing, development, transformation, and deployment.
• Expert-level proficiency in QGIS and advanced geoprocessing techniques.
• Expert with SQL, cloud-based analytical databases (e.g., BigQuery), PostGIS, spatial indexing, and performance optimization.
• Strong Python skills, including experience with GDAL, geopandas, PyQGIS, and automation frameworks.
• Demonstrated ability to operate within complex spatial data pipelines, using version control (Git), and collaborative workflows to deliver reliable, maintainable solutions.
• Proven ability to use Claude Code or other AI coding assistants to generate scripts, automate tasks, and accelerate spatial workflows.
• Familiarity with Offroad-relevant datasets such as trail networks, road and route conditions, terrain data, land ownership, or other location-based content used in off-road recreation and land-access contexts.
• Familiarity with trail data sources, vendors, and key players in that space.
• Proven ability to work autonomously on complex, ill-defined projects, bringing structure, clarity, and execution rigor to ambiguous problem spaces.
• Ability to clearly communicate technical concepts to non-technical partners.
• Ability to travel bi-annually for multiple days to a corporate office or other onX strategic location, such as a Basecamp. 

ADDED BONUSES

Though not required, we would be thrilled to consider candidates with any of the following:

• Master's degree in Geospatial, Geography, Computer Science, or a related field.
• Experience with graph-based data systems, including knowledge graphs or hierarchical spatial data stores.
• Experience working with modern geospatial data formats such as GeoParquet for scalable storage and processing.
• Experience building micro-services or distributed workflows for spatial data.
• Familiarity with cloud-based storage, Airflow, and Docker.
• Interest in off-road recreation, trail and route planning, terrain navigation, or related outdoor recreation products.
• Experience with distributed or remote teams.

THE ONX EXPERIENCE

onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.

While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.

Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.

WHERE YOU CAN WORK

onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.

HOW YOU’LL BE COMPENSATED

 onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $94,000 and $118,000 upon hire. The pay range will vary based upon experience, skills, certifications, education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and an annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits, including a no-monthly-cost medical plan
• Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle
• Flexible time away package that includes PTO, STO, VTO, and paid holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com. 

Position open until filled. 

#LI-Remote

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Customer Support Engineer for our API Connector Team. At Fivetran, our Customer Support Engineers (CSEs) take on exciting technical challenges while partnering with internal and external stakeholders to drive issues to a timely resolution. As a Support Engineer, you will partner with some of the most passionate teams in the world, our customer teams, to deliver a best-in-class experience. Through a collaborative and holistic approach that is focused on the resolution and prevention of issues, our CSEs as our customer’s technical champion within Fivetran.

This is a full-time, hybrid position based out of our Denver or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You’ll Do

• Provide virtual technical support to Fivetran customers and partners.
• Work closely with Fivetran customers and other stakeholders to ensure high customer satisfaction and timely resolution of reported issues.
• Investigate and Troubleshoot technical issues within the Fivetran environment using logs, internal/external tools, and foundational knowledge of our product and technologies.
• Work closely with Fivetran’s Dev team to identify and resolve bugs and issues impacting Fivetran customers.
• Become a Subject Matter Expert on the Fivetran API Connectors and related technologies.
• Document any known or newly identified solutions in our knowledge base and share this knowledge across the team.
• Collaborate with teammates on technical and non-technical projects.
   

Skills We’re Looking For

• 2+ years of relevant professional experience
• Strong customer advocacy skills, demonstrated over email and on video calls or screen shares
• Excellent written and verbal communication skills in English
• Experience troubleshooting APIs, including:
  • Making API requests
  • Interpreting responses and standard error codes
  • Navigating and understanding API documentation
• Basic understanding of networking fundamentals, including the TCP/IP model
• Experience working with databases, both SQL and NoSQL
  • Familiarity with basic SQL queries and commands
• Knowledge of and experience with data warehouse infrastructure, such as Snowflake, Databricks, BigQuery, and Amazon Redshift
• Ability to read and analyze logs to investigate and identify issues
• Comfortable navigating GitHub and submitting Pull Requests
• Strong, process-oriented troubleshooting and problem-solving skills
• Ability to thrive in a highly collaborative, global team environment

#LI-HYBRID #LI-EM1

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Customer Support Engineer for our API Connector Team. At Fivetran, our Customer Support Engineers (CSEs) take on exciting technical challenges while partnering with internal and external stakeholders to drive issues to a timely resolution. As a Support Engineer, you will partner with some of the most passionate teams in the world, our customer teams, to deliver a best-in-class experience. Through a collaborative and holistic approach that is focused on the resolution and prevention of issues, our CSEs as our customer’s technical champion within Fivetran.

This is a full-time, hybrid position based out of our Denver or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You’ll Do

• Provide virtual technical support to Fivetran customers and partners.
• Work closely with Fivetran customers and other stakeholders to ensure high customer satisfaction and timely resolution of reported issues.
• Investigate and Troubleshoot technical issues within the Fivetran environment using logs, internal/external tools, and foundational knowledge of our product and technologies.
• Work closely with Fivetran’s Dev team to identify and resolve bugs and issues impacting Fivetran customers.
• Become a Subject Matter Expert on the Fivetran API Connectors and related technologies.
• Document any known or newly identified solutions in our knowledge base and share this knowledge across the team.
• Collaborate with teammates on technical and non-technical projects.
   

Skills We’re Looking For

• 2+ years of relevant professional experience
• Strong customer advocacy skills, demonstrated over email and on video calls or screen shares
• Excellent written and verbal communication skills in English
• Experience troubleshooting APIs, including:
  • Making API requests
  • Interpreting responses and standard error codes
  • Navigating and understanding API documentation
• Basic understanding of networking fundamentals, including the TCP/IP model
• Experience working with databases, both SQL and NoSQL
  • Familiarity with basic SQL queries and commands
• Knowledge of and experience with data warehouse infrastructure, such as Snowflake, Databricks, BigQuery, and Amazon Redshift
• Ability to read and analyze logs to investigate and identify issues
• Comfortable navigating GitHub and submitting Pull Requests
• Strong, process-oriented troubleshooting and problem-solving skills
• Ability to thrive in a highly collaborative, global team environment

#LI-HYBRID #LI-EM1

About the Role

Fivetran is the one platform for moving the world’s data from every source to every destination to power every innovation.

To support our growth, our Product Growth Partners (PGPs) are central to Fivetran’s self-service motion, enabling thousands of customers to succeed at scale. PGPs design and deliver many-to-1 enablement programs, proactively reduce friction for self-service users, and intervene with precision when accounts need additional guidance. PGPs ensure that customers who can self-serve do so seamlessly, while those who need help receive the right support at the right time.

This is a full-time, hybrid position based out of our Denver, CO office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

What You'll Do

• Accelerate Self-Service Success
  • Guide new trial users and existing customers to value through scalable programs such as webinars, office hours, and educational sessions.
  • Direct customers/prospects to resources (help docs, videos, automations) that resolve blockers without requiring 1:1 intervention.
• Deliver Targeted Customer Interventions
  • Identify accounts showing clear setup friction or usage blockers and step in with qualified, high-value interventions.
  • Drive trial-to-paid conversions where PGP guidance removes obstacles and enables customers to commit to a paid plan.
• Run Many-to-1 Programs
  • Design, host, and optimize scalable programs (hands-on labs, “best practice” webinars, AMA sessions) that drive activation, adoption, and expansion at scale.
  • Measure program reach, engagement quality, and downstream business impact (trial conversion, connector expansion, MAR growth).
• Enable Expansion Readiness
  • Identify accounts with expansion potential (new connectors, workloads, or use cases) and surface them for sales or CSM follow-up when appropriate.
  • Share preventative guidance to reduce drop-offs and ensure smooth adoption as accounts scale.
• Advocate for Customers
  • Capture customer insights and funnel them back to product, engineering, and marketing teams to improve self-service experiences.
  • Build scalable resources (guides, templates, content) that multiply across the customer base.
• Handle Reactive Needs
  • Support “lights-on” requests (low-touch commercial tasks, small contract adjustments, billing/account escalations) efficiently and effectively.
     

Skills We're Looking For

• Experience: 1–2 years in customer success, product support, enablement, or similar role.
• Customer-Centric Mindset: Ability to diagnose customer friction points and provide clear, scalable solutions.
• Technical Proficiency: Foundational knowledge in SQL, APIs, cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift), and basic data ELT concepts. 
• Program Builder: Experience running group enablement (webinars, labs, training, or community events) preferred.
• Analytical Skills: Comfortable using CRM and product analytics to identify usage patterns, triggers, and opportunities.
• Collaboration: Proven ability to partner with cross-functional teams (product, sales, support, RevOps) to improve customer outcomes.
• Communication: Strong written and verbal communication skills for both 1:1 and many-to-1 interactions.
• Adaptability: Thrives in an environment where success is measured by customer outcomes and scalable impact, not quota attainment.

#LI-Hybrid #LI-LW1

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.

We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.

ABOUT THE ROLE 🤹

In this role, you will:

• Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
• Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
• Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
• Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
• Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
• Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
• Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
• Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
• Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.

ABOUT YOU 🦄

• You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
• You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
• You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
• You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
• You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
• You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
• You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
• You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
• You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
• You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.

Bonus points if:

• You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
• You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
• You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
• Expertise in cloud platforms and technologies analogous to our stack:
  • Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
  • Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

ABOUT THIS OPPORTUNITY

onX is seeking a Senior Software Engineer who will contribute to meaningful, real-world outcomes that have a lasting impact for customers and the business. In this role, you’ll focus on onX’s Core Viewer cross-platform map rendering engine as part of the Map Viewer team, supporting map rendering for all onX verticals. You’ll take ownership of your work, collaborate closely with partners across the organization, and help move initiatives forward in an environment where priorities evolve, learning is celebrated, and you’re encouraged to keep stretching your skills. This role will report to the team's Engineering Manager.

WHAT YOU'LL DO
^{Essential Job Duties & Functions}

• You will write C++, Swift and Kotlin, leveraging OpenGL and Metal
• You help develop a 3D map viewing SDK for mobile and web.
• Build reliability and performance tracking tools to monitor the map engine in production
• Serve as a map API subject matter expert for vertical application developers
• Optimize the rendering, culling, and spatial positioning algorithms  that drive the map’s visual presentation
• Set up dependency/artifact / build pipeline to create consumable dependencies for iOS, Android and web (Swift Package Manager, Android Libraries).
• Integrate automated testing and performance measurement into the Core Viewer CI pipeline for all platforms
• Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.

WHAT YOU’LL BRING

• Minimum of five (5) years of experience shipping and maintaining production code
• At least one (1) year of experience was focused on 3D map rendering (WebGL, OpenGL, Vulcan, Metal and/or DirectX) and at  least (3) years of experience with mobile development.
• Fundamentals of graphics programming, including the Graphics Pipeline
• Experience with culling, clipping, and spatial partitioning algorithms. Quad- or oct-trees is a plus
• Concurrency and multithreading for network requests and computation
• Experience with protocol buffers
• Experience with working with analytics data, BigQuery or a similar big data query language
• Knowledge of scene graphs
• A strong computer science foundation
• Brings a humble approach and communicates with clarity across written and verbal formats
• A strong curiosity for exploring new technologies, including AI
• A shared passion for and ability to demonstrate onX’s Company Values.
• Permanent US work authorization is a condition of employment with onX.

ADDED BONUSES

Though not required, we would be thrilled to consider candidates with any of the following:

• Deep understanding of data structures to support spatial querying
• Experience with a multi-platform C++ code base
• An avid user of any of the onX apps

THE ONX EXPERIENCE

onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.

While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.

Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.

WHERE YOU CAN WORK

onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.

HOW YOU’LL BE COMPENSATED

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, we are open to considering candidates ranging in two levels (level II and level III). Spanning these levels, applicants can expect to make between $148,000 to $182,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits, including a no-monthly-cost medical plan
• Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle
• Flexible time away package that includes PTO, STO, VTO, and paid holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com. 

Application Deadline is [day of week], [month] [day] at [0:00 pm] MST

Position open until filled. 

#LI-Remote

ABOUT THIS OPPORTUNITY

We are looking for a Data Scientist who views machine learning as a product, not just a research project. You will be a foundational member of our AI team, responsible for designing, building, and deploying sophisticated models that solve complex business problems. You aren't just an expert in XGBoost or Transformers; you are an expert in building the pipelines that make these models reliable, scalable, and impactful.

WHAT YOU'LL DO
^{Essential Job Duties & Functions}

• End-to-End Model Development: Design and implement the full ML lifecycle—from exploratory data analysis (EDA) and feature engineering to model selection, tuning, and validation.
• GCP Architecture: Leverage the full Google Cloud AI suite (Vertex AI, BigQuery ML, Dataflow, and Pub/Sub) to build robust, cloud-native ML solutions.
• MLOps & Engineering: Implement CI/CD for machine learning (CT - Continuous Training) to ensure models remain performant in production environments.
• Strategic Leadership: Partner with stakeholders to translate ambiguous business challenges into technical roadmaps. Mentor junior scientists and advocate for best practices in code quality and experiment tracking.
• Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.

WHAT YOU’LL BRING

• 5+ years in a professional Data Science role with a track record of deploying models at scale.
• Proficiency in Vertex AI, BigQuery, Cloud Storage, and Looker. Experience with Kubeflow is a major plus.
• Expert-level Python (pandas, scikit-learn, PyTorch/TensorFlow), Spark, and advanced SQL.
• Deep understanding of statistics and ML theory (e.g., Gradient Descent, Bias-Variance tradeoff, Bayesian inference).
• Experience with ETL/ELT processes, specifically using dbt.
• A strong curiosity for exploring new technologies, including AI
• A shared passion for and ability to demonstrate onX’s Company Values.
• Permanent US work authorization is a condition of employment with onX.

Our Tech Stack

• Data Warehouse: BigQuery
• Orchestration: Airflow (Cloud Composer)
• Modeling: Vertex AI Pipelines, JupyterLab
• Deployment: Docker, GKE (Google Kubernetes Engine)

Pro Tip for the Candidate: We value "clean code" as much as "smart math." If you treat your notebooks like production scripts and your Git history is a work of art, you’ll fit right in.

What Sets You Apart

• The "Product" Mindset: You understand that a model with 99% accuracy is useless if it costs more to run than the value it creates.
• Infrastructure as Code: You are comfortable with Terraform or similar tools to manage your cloud resources.
• Communication: You can explain the "why" behind a complex neural network architecture to an executive without using jargon.

THE ONX EXPERIENCE

onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.

While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.

Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.

WHERE YOU CAN WORK

onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.

HOW YOU’LL BE COMPENSATED

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $126,000 to $149,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits, including a no-monthly-cost medical plan
• Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle
• Flexible time away package that includes PTO, STO, VTO, and paid holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com. 

Application Deadline is [day of week], [month] [day] at [0:00 pm] MST

Position open until filled. 

#LI-Remote

YOUR MISSION 

True Anomaly does not have a central data platform today. Data lives in disconnected systems: PLM, ERP, project management, source control, and documentation tools, with no warehouse, no unified data model, and no programmatic access layer. As Senior Manager of Data Engineering, you will build this capability from scratch: the platform, the pipelines, the team, and the operating model. Your first priority is enabling the AI Platform Engineering team, which depends on a reliable data foundation to deliver on the company’s top strategic priority. Beyond AI, the data platform will serve engineering, programs, manufacturing, and business operations across the company. This is a player-coach role. You will be writing code and making architecture decisions on day one while simultaneously hiring and developing a high-performing team. 

RESPONSIBILITIES 

• Build the data engineering function from zero: design the data platform architecture, stand up the initial infrastructure, and start delivering value before the team is fully hired 

• Hire and lead a team of 5 data engineers, recruiting top-tier technical talent who thrive in ambiguous, fast-moving environments 

• Design and build the company’s data warehouse, unified data model, and pipeline infrastructure, connecting systems like PLM (Teamcenter), ERP (NetSuite), Jira, Git, and Confluence into a single reliable data layer 

• Partner closely with the AI Platform Engineering team to provide the data infrastructure they need as a critical-path dependency for the company’s AI strategy 

• Serve as the technical authority for data architecture decisions during the team’s formative period: technology selection, data modeling patterns, pipeline design, and the foundational choices the rest of the team will build on 

• Work across the company to understand data needs from engineering, programs, manufacturing, and business operations, and translate those into a platform that serves all of them 

QUALIFICATIONS 

• 8+ years of experience in data engineering, data infrastructure, or related fields, with 3+ years building and leading data engineering teams 

• Strong hands-on skills in modern data stack technologies: data warehousing (Snowflake, BigQuery, Redshift, or similar), ETL/ELT pipelines, data modeling, and orchestration tools (Airflow, Dagster, or similar) 

• Experience building data platforms from scratch, not just maintaining or extending existing ones 

• Track record of hiring and developing high-performing engineering teams in fast-paced environments 

• Ability to work across the full stack of data engineering: from source system connectivity and pipeline reliability to data modeling and serving layer design 

• Strong communication skills and comfort working with stakeholders across technical and non-technical functions to understand requirements and set priorities 

PREFERRED SKILLS AND EXPERIENCE 

• Experience in aerospace, defense, or manufacturing environments where data spans engineering tools (PLM, MBSE, CAD/CAM) and enterprise systems (ERP, project management) 

• Background working with AI/ML teams as a data platform provider, with an understanding of what those teams need from the data layer 

• Experience connecting complex, heterogeneous source systems with different schemas, update cadences, and access patterns 

• Familiarity with data governance and data quality practices, and experience building organizational trust in data products 

• Prior experience at a company poised for aggressive growth where the data platform had to scale ahead of demand 

• Active U.S. security clearance at any level 

COMPENSATION  

• Base Salary:   Long Beach - $165,000 to $230,000, Denver - $160,000 to $220,000

• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and 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. 

ADDITIONAL REQUIREMENTS 

• U.S. citizenship required; clearance eligibility required; active clearance at any level preferred 

• Work Location: this role will be fully onsite at our facilities in Centennial, CO or Long Beach, CA  

• Work environment is in a standard office, working at a desk or in a production factory. 

• Physical demands may include frequent standing, sitting, walking, bending, and lifting or carrying items up to 20lbs. 

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (IT 

1. AR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. 

We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. True Anomaly is committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. 

ABOUT ROCKET MONEY🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

Please note: We strongly encourage team members to be in the office 1-2 days per week, though there is no formal in-office requirement.

ABOUT THE TEAM 🤝

Analytics Engineers at Rocket Money further our mission by helping our company understand our users and products through the lens of data. We build data models that uncover how our customers interact with our products, generate cashflows, and traverse our user experiences. We work with our product and engineering teams to understand the data our applications generate, model it in useful, understandable ways, and make that data available for efficient insight generation.

Our team values:

• Collaboration - We're team players who excel at cross-functional partnership with product and engineering teams
• Impact - We transform raw data into strategic insights that drive business decisions
• Growth - We continuously refine our craft while supporting each other's professional development

We're growing our team and are looking for an Analytics Engineering Team Leader who is committed to building an equitable, healthy work environment where team members thrive. In this role, you'll elevate our Analytics Engineering practice, mentor talented engineers, be a hands on contributor to our dbt and LookML code bases, and champion data-driven decision making across the organization. You'll help shape how Rocket Money uses data to understand our customers and products while building a world-class team.

Our Tech Stack: BigQuery, dbt, Looker, Amplitude, Fivetran, Datadog, git, Deepnote

IN THIS ROLE, YOU'LL:

• Own ambitious yet achievable quarterly roadmaps that drive our business forward by building tooling that allows the team to deliver faster, more consistent work and directing cross-team analytics efforts that inform strategy.
• Lead and manage a team of 4-6 analytics engineering professionals, creating processes for autonomous operation with cross-functional teams while maintaining high quality standards and accountability and supporting individual growth.
  • Evolve team development standards, including technical skill frameworks, career ladders, and learning pathways. Create a culture of continuous improvement through code reviews, knowledge sharing sessions, and mentorship programs that elevate the entire team's capabilities.
  • Champion data quality and attention to detail as core team values, establishing review processes and quality gates that ensure the accuracy and reliability of analytics outputs while still shipping iteratively and building stakeholder trust through visible progress.
• Foster strong working relationships with other leaders at the company, advocating for your team's involvement at the right time and driving high quality analytics delivery across teams.
• Address problems with performance directly and make decisions based on what's best for our users, team members, and business. Create highly functional teams and processes that make best use of data analytics resources.
• Be accountable for making, measuring, and delivering on team commitments, as well as pivoting when necessary to keep the team focused on the most impactful work.
• You're energized by problems that don't come with clearly defined requirements, and you know how to work with stakeholders to scope what's actually measurable.

ABOUT YOU 🦄

Technical Leadership

• You have hands-on experience with the modern analytics stack (e.g., dbt, Snowflake/BigQuery, Looker/Tableau/Databricks/Omni) and can guide technical decisions while establishing quality standards and review processes that ensure data accuracy.
• You have deep expertise in analytics engineering and a strong understanding of data systems and processes, especially delivery of maintainable/scalable models that meet stakeholder needs and support self service. You have experience implementing analytics engineering best practices (version control, testing, documentation, CI/CD) and can balance delivery speed with analytical rigor.
• You have strong software engineering fundamentals and the curiosity to dive into application codebases to understand data generation at its source. You believe analytics engineers should understand the full data lifecycle - from how events are instrumented in production code to how they're modeled in the warehouse.

Strategic & Business Acumen

• You can translate business objectives into technical roadmaps and have experience building self-service analytics strategies that scale across organizations.
• You lead a team that gets ahead of the business, building tooling and documentation so stakeholders can answer their own questions without waiting on a ticket.

People Leadership

• You have 5+ years of experience managing analytics engineering professionals. You've successfully led a team of embedded professionals and know how to cultivate a culture of autonomy within cross-functional teams.
• You can tailor your management style to suit your employees, identifying where some people might succeed with a more hands-off approach than others. You're passionate about developing talent and have a track record of building career frameworks, implementing mentorship programs, and helping analytics engineers grow from mid-level to senior roles.

Communication & Collaboration

• You excel at stakeholder management and can build effective relationships across the organization. You self-organize a peer group to gain feedback.
• You're an exceptional communicator who can explain complex data concepts to non-technical stakeholders and advocate for data-driven decision making at the executive level.

Growth Mindset

• You want to continue to grow and learn. You are excited by hard problems and big challenges.
• Experience in fintech, banking, or finance is a plus.

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $170,000 - $220,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pinnacol goes beyond providing Workers’ Compensation insurance to Colorado businesses. We are a technology first company that believes in making a meaningful impact in workers’ lives across Colorado in their most difficult moments  by designing solutions that effectively help them get the care they need. We enable our policyholders to report a claim with a mobile first experience, all while providing insurance quotes to agents and new clients in 5 minutes or less through our award-winning app. 

These customer-focused experiences are built on nimble platforms capable of using the latest and greatest technology available. Our Tech Stack includes:

Salesforce 

React 

Python

Gitlab

Google Cloud Platform

• Cloud Functions, AppEngine and AppScript
• Pub/Sub
• BigQuery
• Cloud Composer (Apache Airflow)
• Cloud SQL (PostgreSQL)
• Storage
• Secrets Manager
• Kubernetes (GKE)

Hashicorp Terraform and Vault

This is about more than shiny code and sleek design. Pinnacol’s culture sets us apart. We listen to our customers to create experiences with their insights in mind. We actively seek feedback from our injured workers and policyholders through surveys, focus groups, feature testing and research. It feels like family at Pinnacol. We do virtual team building and happy hours using Zoom and JackboxTV Games. We grow talent from within. There are opportunities for continued development and support for learning new skills, even those outside your current role. Our teams and leaders value collaboration and experimentation so we constantly learn how to do things better..

As one of the largest teams at Pinnacol, Information Services invests in a variety of opportunities for those who love tech. Pinnacol’s charge is to “Lead a revolution in caring” and  our commitment to innovation and building cool stuff requires amazing talent. Here are a few of the roles we’ve recently hired:

• Salesforce Engineer
• Data Engineer
• Data Scientist
• Machine Learning Engineer
• Natural Language Processing Engineer
• Database Engineer
• Cloud Architect
• ECM Administrator
• QA Engineer

Pinnacol has over 100 years of knowing and understanding Colorado workers and businesses. With a century of experience behind us, we’re out to tackle the big problems that these individuals and communities face. By always asking “What’s next?”, our agile and creative solutions keep us on the leading edge of creating better ways to care for and protect the people and businesses we serve.