MongoDB is building a world-class team in North America to create tooling that helps customers migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise their application and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model.  The tools developed by the Data Migration team are critical in this journey, helping customers with schema modeling, initial data loads, and continuous data synchronization.

We are looking for an experienced Staff Engineer with experience in the Java ecosystem, streaming systems, and data-intensive applications to join our team. We are building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. A successful candidate will be a key contributor to our backend services, collaborating closely with product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

We are looking to speak with candidates based in California, Oregon, or Washington for our hybrid or remote working models.

The ideal candidate for this role will have

• 8+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
• Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Empower the engineering team with unparalleled thought leadership on emerging technologies and best practices
• Proactively engage with product leaders and senior management to align technical solutions with overarching business strategies
• Mentor and guide junior and senior engineers on best practices in data structures, algorithms, and database design
• Participate in code reviews, design discussions, and contribute to the overall technical direction and roadmap of the team
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Position Expectations

• Architectural Leadership: Drive the architectural vision and technical strategy for the data migration engine and its surrounding ecosystem. Contribute core, foundational code that solves the hardest scalability problems and sets the standard for the rest of the team
• Strategic Partnership: Partner closely with Engineering Leadership, Product Management, and Design to shape the technical roadmap. Anticipate future business needs and translate them into scalable, long-term technical initiatives
• Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Actively mentor Senior and Mid-level engineers, cultivating a culture of technical excellence and continuous learning

Success Measures

Within the first three months, you will have

• Familiarized yourself with the MongoDB database and aggregation language
• Familiarized yourself with the problem space and the domain
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have

• Worked on and delivered a large-scale code analysis feature in the product
• Contributed to and helped deliver a few releases of the product
• Reviewed and contributed to scope and technical design documents

Within twelve months, you will have

• Delivered large-scale features across our entire tech stack
• Helped recruit, interview and mentor new members of the team
• Collaborated with other teams at MongoDB

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 4263333172

MongoDB is building a world-class team in North America to create tooling that helps customers migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise their application and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model.  The tools developed by the Data Migration team are critical in this journey, helping customers with schema modeling, initial data loads, and continuous data synchronization.

We are looking for an experienced Staff Engineer with experience in the Java ecosystem, streaming systems, and data-intensive applications to join our team. We are building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React. A successful candidate will be a key contributor to our backend services, collaborating closely with product management and other engineers to design and implement cutting-edge products that solve complex customer challenges.

We are looking to speak with candidates based in British Columbia for our hybrid or remote working model.

The ideal candidate for this role will have

• 8+ years of commercial software development experience with at least one JVM language such as Java, preferably using the Spring ecosystem
• Extensive experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium
• Extensive experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc)
• Exposure to client-side technologies such as JavaScript and React is a plus
• Empower the engineering team with unparalleled thought leadership on emerging technologies and best practices
• Proactively engage with product leaders and senior management to align technical solutions with overarching business strategies
• Mentor and guide junior and senior engineers on best practices in data structures, algorithms, and database design
• Participate in code reviews, design discussions, and contribute to the overall technical direction and roadmap of the team
• Curiosity, a positive attitude, and a drive to continue learning
• Excellent verbal and written communication skills

Position Expectations

• Architectural Leadership: Drive the architectural vision and technical strategy for the data migration engine and its surrounding ecosystem. Contribute core, foundational code that solves the hardest scalability problems and sets the standard for the rest of the team
• Strategic Partnership: Partner closely with Engineering Leadership, Product Management, and Design to shape the technical roadmap. Anticipate future business needs and translate them into scalable, long-term technical initiatives
• Engineering Excellence & Mentorship: Define and champion engineering best practices, patterns, and standards across multiple teams. Actively mentor Senior and Mid-level engineers, cultivating a culture of technical excellence and continuous learning

Success Measures

Within the first three months, you will have

• Familiarized yourself with the MongoDB database and aggregation language
• Familiarized yourself with the problem space and the domain
• Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks
• Started collaborating with your peers and contributed to code reviews

Within six months, you will have

• Worked on and delivered a large-scale code analysis feature in the product
• Contributed to and helped deliver a few releases of the product
• Reviewed and contributed to scope and technical design documents

Within twelve months, you will have

• Delivered large-scale features across our entire tech stack
• Helped recruit, interview and mentor new members of the team
• Collaborated with other teams at MongoDB

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 4263333172

About The Role

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

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

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

Key Responsibilities

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

Primary Qualifications

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

Nice to Have

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

Additional Information

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

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

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

#LI-HYBRID

#LI-ZZ1

Role Overview

We are seeking an analytical and technically skilled professional to lead the implementation, management, and ongoing enhancement of our cash flow engine. This role will be responsible for modeling balance sheet cash flows, supporting interest rate risk (IRR) analytics, and ensuring the integrity of key metrics such as Net Interest Income (NII) and Economic Value of Equity (EVE).

The ideal candidate brings a strong understanding of asset-liability management (ALM), behavioral modeling, and financial modeling frameworks, along with the ability to translate complex assumptions into actionable insights.

Key Responsibilities

• Support the vendor selection and system implementation of the firm’s cash flow engine / ALM system
• Develop, maintain, and enhance cash flow models for assets and liabilities that will be used for risk monitoring and balance sheet forecasting
• Produce and analyze interest rate risk metrics, including NII and EVE under various scenarios
• Design, document, and support behavioral assumptions (e.g., prepayments, deposit decay, betas, non-maturity deposit modeling)
• Partner with Finance and Risk teams to ensure alignment of modeling assumptions and outputs
• Perform scenario analysis and sensitivity testing to support balance sheet strategy and risk management
• Ensure data integrity, model accuracy, and compliance with internal policies and regulatory expectations
• Support model validation, audit, and regulatory review processes
• Identify opportunities to improve automation, efficiency, and model sophistication

Qualifications

• Bachelor’s degree in Finance, Economics, Mathematics, Engineering, or a related field (advanced degree preferred)
• 5+ years of experience in bank ALM, bank Treasury, IRR modeling, or quantitative finance
• Strong understanding of:
• Bank balance sheets, products, and cash flow drivers
• Net Interest Income (NII) modeling
• Economic Value of Equity (EVE)
• Interest rate risk frameworks
• Cash flow hedging
• Experience developing and supporting behavioral models and assumptions (e.g., deposits, loans, prepayments)
• Hands-on experience with ALM or cash flow engine platforms (e.g., QRM, Empyrean, BancWare, or similar)
• Strong quantitative and analytical skills; proficiency in Excel and/or programming tools (Python, SQL, R a plus)
• Ability to communicate complex modeling concepts to non-technical stakeholders

Preferred Skills

• Experience in banking* or financial services
• Familiarity with regulatory expectations for IRRBB and model risk management
• Experience with model validation or governance frameworks
• Strong problem-solving mindset with attention to detail

What Success Looks Like

• A fully implemented and reliable cash flow engine supporting accurate NII and EVE projections with up to monthly production runs
• Well-documented and defensible behavioral assumptions
• Supporting a cross functional operating model for balance sheet forecasting
• Clear, actionable insights that inform balance sheet and risk management decisions
• Scalable modeling infrastructure that evolves with the business

Compensation

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Seattle, Los Angeles or San Francisco: $207,800 - $259,800
• US employees outside of New York City, Seattle, Los Angeles or San Francisco: $187,000 - $233,800
• Canadian employees (any location): CAD  196,400 - 245,500

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-JD1

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

When Florence Nightingale arrived at the British Army hospital in Scutari in 1854, soldiers were dying at ten times the rate of battlefield casualties, not from wounds but from a total breakdown in operations. There were no reliable records, no supply controls, no sanitation standards, and no documented processes. She built all of it: independent supply chains, laundry and kitchen operations, patient tracking systems, and evidence-based documentation she later used to drive reforms before a Royal Commission. The mortality rate fell from over 40% to 2%. Her work did not just save lives at Scutari. It created modern nursing, reshaped hospital design worldwide, and proved that reliable outcomes require reliable systems. That is the kind of operator we are looking for at Mercury.

Mercury is a financial technology company building banking products for ambitious businesses. We have grown from a startup banking* platform to a company that manages tens of billions in deposits, and now we are taking the next step: pursuing a de novo bank charter to become a full-fledged bank. As we transition from fintech to a regulated institution, we are building a full commercial lending operation from the ground up. The documentation this person writes, the controls they design, and the evidence they build will be reviewed by bank regulators as part of Mercury's formal examination process. We need an operator who understands that weight and is motivated by it. 

Our goal is to build a credit and lending operation that looks nothing like a traditional bank: efficient by design, scalable from first principles, and built to meet the standards of a fully regulated institution from day one. This is a hands-on, senior individual contributor role that is expected to evolve into a team leadership position as Mercury's lending program grows.

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

What you will do

• Own loan booking, quality control, disbursements, payoffs, lien tracking, and reconciliation, establishing single-point ownership over activities currently distributed across multiple teams
• Design and implement a formal quality control function between underwriting approval and loan booking, establishing a control layer that scales with Mercury's credit products and regulatory obligations
• Build scalable, bank-grade workflows for each stage of the loan servicing lifecycle
• Design operational infrastructure for Standby Letters of Credit, including collateral controls, contingent liability tracking, and release procedures
• Translate operational requirements into system specifications, test plans, and user acceptance criteria in partnership with development teams
• Establish procedural documentation, SLAs, and control frameworks that hold up to regulatory examination
• Build and maintain loan tapes and operational reporting across the portfolio
• Contribute to standing up the broader credit program ahead of bank launch, including operational standards, procedures, controls, and exam-readiness documentation

Who you are

• Curious – you go out of your way to understand the work that surrounds you, not just your own. You learn how adjacent systems, teams, and processes work before you are forced to, because understanding the full picture is how you do your job well
• A builder – you have stood something up from scratch before and you are drawn to that kind of work, not daunted by it
• Precise – small errors in loan servicing cascade into audit findings, customer impact, and regulatory exposure. You know that, and you operate accordingly
• A systems thinker – you trace a workflow from intake to general ledger and spot where it will break before it does
• Resourceful – you use AI tools to draft, automate, and scale your output, and you treat new tools as leverage, not overhead
• Collaborative – you step into gaps and work with a team-first mentality, even when you own a function independently

What we are looking for

• Ideal candidates will have 5+ years of experience across banking, fintech, or private credit operations. An inclusive 2+ years of experience in credit operations or loan servicing is preferred.
• Comfortable building in ambiguity and operating in a 0-to-1 environment
• Strong written communication: the documentation you produce will be reviewed by bank regulators. It must be precise, defensible, and clear enough that an operator can follow it and an examiner can evaluate it
• Experience owning core servicing workflows: booking, disbursements, payoffs, collateral management, or reconciliation
• Experience translating operational requirements into system specifications or partnering with product and engineering teams on system design
• Prior experience working in full-cycle credit management (origination, portfolio management, workout, etc.) is a plus
• SQL and data skills are useful but not required

Why this role is different

Loan Operations at Mercury does not exist today. You are building it.

Mercury is actively becoming a bank. The controls you design, the procedures you write, and the evidence you build will be reviewed by regulators as part of that process. This is not process improvement at an established lender. It is foundational infrastructure for a new institution, and the commercial lending operation Mercury runs will reflect what you design.

This role is designed to grow into managing a standalone Loan Operations team as Mercury’s lending program scales.

The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Seattle, Los Angeles or San Francisco: $132,400 - $165,500
• US employees outside of New York City, Seattle, Los Angeles or San Francisco: $119,200 - $149,000

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-AR1

We’re looking for a AI Solutions Architect to drive our customer-facing chatbot and AI agent experience at Mercury. In this role, you will be pivotal in helping define the strategy for creating the optimal customer experience when interacting with AI agents. You will implement this vision through targeted configuration of workflows and automations, regular reviews of bot performance and quality coaching. 

You’ll sit at the intersection of customer experience, automation quality, and operational efficiency, partnering closely with Customer Support Strategy and Ops, Engineering, Product and external vendors to ensure the bot delivers a high-quality, safe, and trustworthy experience at scale.

Along with the bot-focused work, you will be instrumental in defining the AI strategy within the CS org, creating best practices and supporting peers across CS in investigating AI solutions to maximise efficiency within the team.

Key Responsibilities

1. Strategy driver: Partner with CS and Product leadership to define the strategy and roadmap for our chatbot and email AI agents to contribute to company OKRs
2. Architect and optimize AI agent workflows and procedures: Design simple, reliable conversation workflows and automations so our chatbot asks the right questions, clarifies common customer needs, and responds with accurate information, appropriately escalating to live support when needed.
3. Quality reviews, analytics and bot coaching: Conduct regular reviews of bot conversations and high-level report analysis to identify trends, areas of opportunity and potential risk within the chatbot.
4. Cross-collaboration to improve resolution rate and quality: Work with partners in Engineering, Product and CS Strategy and Ops to maximize the types of interactions the chatbot can support and resolve - connecting new data sources or systems on the backend to give the bot greater scope, implementing new workflows that use this data to solve new customers requests without live support intervention.
5. Optimize the AI Agent experience across all channels: Expand upon the types of interactions and experiences that qualify for the email AI agent and other asynchronous channels. 
6. Compliance and security: Ensure Mercury’s high standards for security and compliance are woven into the foundations of our AI-assisted CS strategy
7. AI vendor relationship owner: Own the relationship with AI vendors for CS solutions, including Intercom. Raising issues, requesting fixes, staying on top of product releases and coordinating changes that impact CS operations
8. Scoping of internal agent co-pilot: Drive efforts to assess and implement agent assist AI tools to maximise agent efficiency
9. Evaluation of AI tooling for CS partners: Support other teams, such as Learning and Development and QA in evaluating how other tools’ AI offerings can increase efficiency across CS.

What You Bring to the Table

• 1–3 years of experience in configuration of customer-facing AI agent/chatbot (e.g., Fin by Intercom, Ada, Zendesk AI)
• 5+ years of experience in customer support backend operations or CS systems administration
• Systems thinker and problem solver, with experience in testing new solutions and change management for CS teams
• Strong technical acumen, with the ability to understand and communicate technical concepts to both technical and non-technical audiences
• Analytical thinking: ability to interpret data quickly and translate it into actionable decisions
• Cross-collaboration: works effectively with cross-functional partners across Engineering, Product, Compliance, Core Customer Support
• Stakeholder communication: delivers clear, concise updates to stakeholders at all levels
• Adaptability and a growth mindset, thriving in a fast-paced, ever-evolving environment
• Proven ability to work cross-functionally, particularly with technical teams like Engineering, Product, and Security

The Ideal Candidate Will Also Have

• An interest in software development or engineering, enabling deeper technical conversations with our engineering teams
• Experience with core customer support platforms such as Zendesk, Guru, MaestroQA/Rippit
• Proficiency in SQL and familiarity with navigating data tables
• Experience supporting remote or distributed workforce models

The total rewards package at Mercury includes base salary, equity (stock options), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $143,400 - $168,700 USD
• US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $129,100 - $151,800 USD
• Canadian employees (any location): CAD $130,500 - $153,500

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-CJ1

Build and scale the underwriting foundation for our new consumer charge card (0→1).

Mercury is building a banking* stack for startups. We work hard to create the easiest and safest banking* experience possible to simplify entrepreneurs' and business owners’ financial lives. 

We’re launching a premium consumer charge card and are looking for a senior credit risk leader to help build and scale the underwriting strategy from the ground up - and own its performance as the portfolio scales.

Our goal is to build a consumer charge card that delivers a premium experience while maintaining disciplined, data-driven credit risk.

This is a hands-on, senior individual contributor role. You’ll take an initial strategic direction and turn it into a scalable, data-driven underwriting program, then monitor, refine, and evolve that strategy post-launch.

You’ll play a key role in shaping how risk decisions translate into customer experience, product growth, and long-term portfolio performance.

As the portfolio grows, this role is expected to evolve into team leadership.

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

What You’ll Own:

Build and operationalize the credit strategy

• Translate underwriting vision into formal credit policy and decision frameworks
• Define approval logic, segmentation strategy, and limit-setting methodology
• Establish portfolio guardrails aligned to loss targets and unit economics
• Design account management strategies across the customer lifecycle
• Develop early portfolio management approaches including exposure adjustments, servicing strategies, and input into collections processes as the portfolio matures
• Define portfolio monitoring frameworks and escalation triggers for emerging credit risk trends

Build the data-driven risk engine

• Implement credit policy in our underwriting platform 
• Evaluate and integrate key data sources (bureau, income, debt signals)
• Ensure decision logic is structured, testable, and scalable
• Partner with Engineering and Data to build monitoring and feedback loops

Own portfolio performance post-launch

• Define and track core KPIs (approval rate, early delinquency, loss rate, exposure, utilization, etc.)
• Monitor vintage performance and segment behavior
• Recommend and implement strategy adjustments based on observed risk trends
• Present risk performance, insights, and recommendations to senior leadership

Drive data-informed risk and growth decisions

• Use SQL to independently evaluate underwriting decisions and trade-offs
• Analyze drivers of credit performance and portfolio outcomes
• Partner with Finance on forecasting and risk-adjusted economics

Drive cross-functional execution

• Partner with Compliance to ensure the underwriting program is well-documented and built to scale
• Work with Partnerships, Procurement, and Legal on evaluating and onboarding credit data providers
• Support broader risk initiatives across our business charge card portfolio during the build phase

What We’re Looking For:

• 6+ years of experience in consumer credit risk. Ideal candidates will have 8–12 years of experience across banking, fintech, or unsecured consumer lending
• Experience launching or materially redesigning a consumer lending product
• Experience implementing credit policy within a decisioning or underwriting platform is strongly preferred
• Demonstrated experience owning risk strategy and monitoring portfolio performance
• Deep familiarity with bureau data and core credit risk metrics (approval rate, loss rate, vintage curves, etc.)
• Experience presenting risk insights and strategy recommendations to senior stakeholders
• Experience translating policy into production decision logic
• Strong SQL skills and comfort working directly with data
• Comfortable building in ambiguity and operating in a 0→1 environment

Why This Role Is Unique:

You’ll join before launch -  when foundational decisions are made - and remain accountable for how those decisions perform in-market. You won’t inherit a mature portfolio. You’ll help define how underwriting works, how risk scales, and how this product earns long-term customer trust.

As the consumer portfolio grows, this role has the potential to evolve into a leadership position responsible for building and managing a dedicated consumer credit risk team.

The total rewards package at Mercury includes base salary, equity, and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $207,800 - $259,800
• US employees outside of the New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $187,00 - $233,800
• Canadian employees (any location): $196,400 - $245,500 CAD

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-AR1

Mercury is redefining *banking for ambitious companies and behind every great financial platform is a data system that people can actually trust.

As Mercury scales, our revenue systems generate an enormous amount of information: signals from remote and in-person meetings, automation tools, product usage, lifecycle events, and analytics pipelines. Turning that activity into clear, reliable intelligence — without brittle pipelines or constant rework — is critical to how we grow.

We’re looking for a Data Strategy & Operations leader to own the data foundations that power revenue execution. This role ensures that revenue data is reliable, interpretable, scalable, and usable as the business evolves and that teams can act on what they see with confidence.

In this role, you will report to the Head of Platforms & Infrastructure and play a central role in shaping how Mercury models, governs, and operationalizes GTM data. You’ll partner closely with Data Engineering, Data Science, Solution Architecture, Platform Engineering. etc.

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

Here are some things you’ll do on the job:

• Own the definition, structure, and reliability of data originating from revenue platforms (e.g., Salesforce, GTM tools, automation systems)
• Serve as the primary decision owner for GTM-sourced tables and views used for revenue execution, forecasting inputs, lifecycle tracking, and signal-based workflows
• Design and evolve core GTM data models across Salesforce, ETL, and analytics layers
• Partner with Data Engineering to align GTM schemas with enterprise data models and define clear data contracts between source systems and downstream consumers
• Partner with Data Science / Analytics to ensure revenue data is interpretable, statistically sound, and reflects how the business actually operates
• Own clarity around data ownership boundaries, shared dependencies, and escalation paths when upstream or downstream changes impact revenue integrity
• Define and uphold data quality, freshness, consistency, and documentation standards for revenue platforms
• Monitor and improve pipeline reliability, performance, and scalability, proactively identifying fragile or redundant transformations
• Identify opportunities to automate manual or error-prone data workflows and reduce operational overhead
• Act as a data thought partner to Platforms & Infrastructure, Revenue Operations, Analytics, and Security — advising on feasibility, tradeoffs, and sequencing for data-heavy initiatives

You Should:

• Have 7+ years of experience in data engineering or data systems roles within SaaS or technology companies
• Have deep experience designing and operating production data pipelines
• Be highly proficient in SQL and experienced in data modeling
• Have hands-on experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift)
• Have experience with ETL / ELT tooling (e.g., dbt, Airflow, Census, or similar)
• Understand Salesforce data models and common GTM system architectures
• Be able to translate business concepts into durable, well-structured data models
• Communicate clearly with both technical and non-technical partners

Preferred:

• Experience supporting revenue, sales, or customer lifecycle data
• Familiarity with event-based data platforms (e.g., Data Cloud or equivalents)
• Experience working alongside platform engineering and security teams
• Exposure to data governance, access controls, and compliance considerations
• Experience mentoring or guiding other data practitioners

Compensation:

The total rewards package at Mercury includes base salary, equity, and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $158,400 - $198,000
• US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $142,600 - $178,200
• Canadian employees (any location): $149,700 - 187,100 CAD

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-SN1

Since the dawn of aviation, pilots have faced the constant challenge of air resistance, much like sailors navigating the friction of water. Amidst this relentless struggle, the trim tab emerges as an ingenious yet understated marvel. Just as the wheel revolutionized transportation by easing movement over land, the trim tab simplifies flight, allowing for smoother navigation through the skies. It embodies the elegance of simplicity in engineering, transforming the demanding task of controlling an aircraft into a more graceful and manageable endeavor. 

At Mercury, we are committed to crafting an exceptional banking* experience for startups. Our team is passionately focused on ensuring our product not only meets but anticipates the needs of our customers.

Our product engineering group is growing and we’re looking to hire senior backend engineers. We’re a team of pragmatic, product-minded engineers motivated by the desire to create lovable products that rescue our customers from frustrating, expensive legacy industry tools. 

As part of this role, you will:

• Feel a strong sense of product ownership and actively seek responsibility – we often self-organize on small/medium projects, and we want someone excited to help shape and build Mercury’s future.
• Work in an autonomous environment on a close-knit team, with a “startup within a startup” feel.
• Partner closely with designers and product leaders to ship lovable experiences. We want to transcend the status quo for banking and fintech software, and many of our customers are startups and appreciate our slick, magical designs.
• Join a team of experienced product engineers within one of our Mercury product groups such as Banking, Experiences, Expansion, or Risk. 

The ideal candidate for the role:

• Has 3-7 years of backend development experience.
• Knowledge of or excitement to learn Haskell, and proficiency in SQL.
• Empathizes with users and can channel their perspective to build lovable products.
• Has made architectural decisions in the past and measured the impact of those decisions over time. You should be able to clearly articulate your technical opinions and lay out tradeoffs.
• Communicates and collaborates effectively with peers and cross-functional counterparts.

If this role interests you, we invite you to explore our public demo at demo.mercury.com. 

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees (any location): $166,600 - $208,300
• Canadian employees (any location): CAD 157,400 - 196,800

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. Please see the independent bias audit report covering our use of Covey here.

#LI-ES1

The ATM didn't just move cash out of bank branches. It decoupled the bank from the banker — and for the first time, customers could access their money without asking permission from a human. That was 1967. Every decade since has been another layer of abstraction: online banking* removed the branch, mobile removed the desktop, and now AI is removing the interface entirely. The next generation of financial software won't be apps people log into — it'll be agents, automations, and workflows that access financial infrastructure directly. 

At Mercury, we're building for that world. Our API products (e.g. CLI, MCP, and more) are how developers wire Mercury into whatever they're building — and we're looking for a PMM who can help them see what's possible. We’re looking for a Product Marketing Manager who can help us tell our API and AI banking story and grow adoption with new and existing customers. 

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

What you’ll do: :

• Own GTM strategy for Mercury's platform products — API, CLI, and MCP — including ICP definition, messaging & positioning, and end-to-end launch planning and execution.
• Build Mercury's presence in the developer and AI-builder ecosystem: developer communities, technical content, docs-as-marketing, GitHub, Discord, Hacker News, and beyond.
• Develop deep customer and market insights through qualitative and quantitative research and competitive intelligence — and use them to shape product, growth, and roadmap decisions.
• Drive acquisition and adoption by designing and executing multi-channel marketing programs and growth experiments in partnership with product, engineering, and creative teams.
• Champion the voice of developers and AI builders across the organization, ensuring their needs meaningfully influence product development and prioritization.
• Measure, analyze, and optimize performance to refine GTM strategies and inform future platform investments.
• Be a driving force in the AI marketing strategy for Mercury, establishing overall narrative, identifying trends for new product or marketing opportunities, and helping shape the AI banking vision.

You should have : 

• 8+ years of B2B product marketing experience, with at least 2 years focused on developer products, APIs, or AI platforms
• Demonstrated GTM ownership: you've built messaging & positioning, defined ICPs, launched products, and driven sustained adoption, ideally for 0-to-1, AI-native, or early-stage products
• Genuine fluency or interest in the current AI and agentic tooling market, you understand how MCP and CLI work, know the major LLM providers and agent frameworks, and can speak credibly with developers and founders building AI-native applications
• Hands-on experience with developer marketing channels: docs sites, developer communities, technical content, and bottom-up adoption motions
• Ability to translate complex technical concepts into clean, compelling narratives.
• Strong cross-functional instincts; you know how to manage stakeholders, influence product roadmap decisions, and navigate ambiguous and complex problems. 

Nice to have:

• Fintech experience is a plus
• Ability to read and write technical / API documentation
• Experience with data analysis, SQL is a plus

The total rewards package at Mercury includes base salary, equity (stock options), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $171,000 - $213,700
• Employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $153,900 - $192,300
• Canadian employees (any location): CAD 161,100 - 201,900

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-SE1

Location: Portland, OR

Work Environment: Hybrid, periodic travel required   

Target Compensation Range: $100,000 to $130,000

Role Summary: Support client engagements by bringing structure to complex business problems, analyzing systems and processes, and translating needs into practical, lasting solutions, with the technical acumen to work effectively across systems, data, and delivery teams.

Who We Are 

At The Gunter Group, we are a people-first management consulting firm and proud 20-time workplace award winner. We build trusted partnerships with our clients by working alongside their teams. Together, we deliver practical solutions and lasting impact across strategy, execution, people, and technology. We show up ready to roll up our sleeves, solve complex problems, and make a real difference together.

Your Impact at The Gunter Group

As a Consultant – Business Systems Analyst at The Gunter Group, you help bring clarity to complex systems and data. Through analysis, documentation, and collaboration with consulting teams and client stakeholders, you support structured progress within ambiguous and evolving client engagements.

Deliver Structured Analysis & System Solutions

• Execute and support the analysis, design, and implementation of business systems within defined workstreams
• Bring clarity to ambiguous challenges by helping define scope, requirements, and solution approaches
• Translate business needs into clear technical requirements, user stories, and system designs
• Develop and maintain documentation such as process maps, requirements, system specifications, and data/interface definitions

Business Process & Systems Enablement

• Analyze current-state processes and systems to identify gaps, inefficiencies, and opportunities for improvement
• Support the design of future-state processes aligned with business goals and system capabilities
• Use data to validate assumptions, identify trends, and inform decision-making
• Write and execute SQL queries (or similar) to explore, validate, and troubleshoot data across systems
• Analyze and document how data moves across systems, including integrations, transformations, and dependencies

Support Solution Delivery

• Partner closely with technical teams to design and implement solutions aligned with business needs
• Contribute to solution design discussions, including system architecture, data models, and integration approaches
• Support debugging, testing, and deployment of solutions, including participation in UAT, code quality processes, and issue triage across systems
• Assist in troubleshooting system and data issues by working across business and technical teams
• Ensure solutions are practical, usable, and aligned with intended outcomes

Collaborate Across Stakeholders and Teams

• Work closely with client stakeholders ranging from individual contributors to senior executives
• Facilitate communication and alignment between business and technical teams
• Communicate complex concepts clearly to non-technical audiences
• Operate effectively within consulting engagements, balancing client needs, timelines, and evolving priorities
• Build trusted relationships with client stakeholders through reliable delivery, clear communication, and follow-through
• Collaborate with TGG consultants and leadership to deliver exceptional quality client service

What You Bring 

• 4+ years of experience in business systems analysis or a related field, including 2+ years in a consulting or client-facing environment
• Strong ability to bring structure to complex, unstructured problems
• Experience gathering and documenting business and system requirements and supporting solution implementation
• Strong process analysis and problem-solving skills
• Proficiency in SQL (or similar) for data analysis and troubleshooting
• Ability to understand and engage in discussions on system architecture, integrations, and data flows
• Experience working closely with engineers to deliver technical solutions and troubleshoot issues across systems
• Strong communication skills, including translating technical concepts for business stakeholders
• Ability to collaborate effectively across technical and non-technical teams
• Familiarity with tools such as data visualization platforms, cloud environments, or scripting languages is a plus
• Bachelor’s degree or equivalent combination of education and experience

Working at The Gunter Group

Salary and Benefits

Supporting the well-being of our team is a priority at TGG. Our benefits package includes competitive health coverage, wellness programs, flexible PTO, professional development and work-from-home stipends, as well as team offsites, social events, and volunteer opportunities.

The total expected compensation range for this role is $100,000 to $130,000, consisting of a base salary and variable billing bonus component. Additional compensation may be earned through contributions to account leadership and business development. We discuss compensation and bonus opportunities openly throughout the hiring process.

Why TGG

The Gunter Group is headquartered in Portland, Oregon, with team members primarily located in our three core geographies: Portland, Nashville, and Denver. Our consultants work across remote, hybrid, and onsite environments depending on client needs, with travel expectations varying by engagement and aligned collaboratively with both clients and team members.

We partner with organizations across industries including retail, apparel, government, education, insurance, and Fortune 100 companies, working alongside client teams to solve complex problems and deliver practical solutions that drive lasting results. Our work is rooted in strong relationships, thoughtful execution, and a shared commitment to doing quality work.

At TGG, we believe people do their best work when they feel respected, supported, and included. We are committed to fostering an engaging, fair, and authentic environment where diverse backgrounds and perspectives are valued. Our culture is guided by non‑negotiable values—including integrity, curiosity, emotional intelligence, collaboration, confidence, and the ability to thrive in ambiguity—and by a high standard of excellence in how we show up for our clients and each other.

The Gunter Group LLC is an equal opportunity employer.

ABOUT THIS OPPORTUNITY

onX is seeking a Business Intelligence Analyst with a passion for marketing analytics and a strong ability to translate data into actionable insights. In this role, you will support marketing measurement efforts by analyzing performance, identifying trends, and helping stakeholders make informed decisions.

You will work closely with marketing, product, and analytics partners to deliver high-quality reporting and analysis. This role is expected to operate independently on defined workstreams, contribute to team priorities, and help improve how data is used across the organization.

The ideal candidate is comfortable working with data, curious about uncovering insights, and motivated to improve business outcomes through analysis. They should be able to navigate ambiguity within their scope, communicate clearly with stakeholders, and deliver reliable, high-quality outputs. This person will report to the Business Intelligence Manager.

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

Marketing Measurement Support

• Support the development and application of marketing measurement frameworks (e.g., attribution, incrementality testing) through analysis and execution
• Partner across marketing functions (e.g., brand, growth, lifecycle) to understand campaign objectives, tactics, and measurement needs
• Contribute insights that help evaluate marketing effectiveness across channels
• Partner with senior analysts to refine approaches and improve measurement over time

Top-of-Funnel & Acquisition Analytics

• Partner with brand and digital acquisition teams to support analysis that informs day-to-day decision-making, rather than owning channel performance directly
• Apply a strong understanding of top-of-funnel metrics (e.g., impressions, reach, CTR, CAC, conversion rates) to help stakeholders interpret performance and make informed trade-offs
• Translate business questions from marketing partners into structured analyses, helping clarify what is happening and whyProvide insights on audience behavior, channel dynamics, and funnel progression, enabling marketers to optimize campaigns and investments
• Connect top-of-funnel activity to downstream outcomes (e.g., activation, engagement, conversion), helping teams understand impact without owning execution
• Support testing and learning efforts by helping design analysis, interpret results, and communicate clear takeaways to stakeholders

Collaboration & Execution

• Navigate ambiguous problem spaces by asking the right questions, defining scope, and proposing a clear analytical approach
• Communicate findings clearly to stakeholders, adapting level of detail to the audience
• Share learnings, document work, and contribute to improving team processes and outputs
• Proactively identify trends or opportunities in marketing performance and bring forward insights that inform stakeholder decisions
• Ensure accuracy and reliability of data used in analysis, validating assumptions and investigating discrepancies when they arise
• Develop a strong understanding of underlying data sources and definitions to ensure consistency in reporting and insights
• 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

• 3–5 years in marketing analytics, business intelligence, or related field
• Demonstrated ability to deliver insights that support business decisions
• Experience working with stakeholders to answer business questions using data
• Bachelor’s degree in Marketing, Statistics, Data Science, Business, or related field
• 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:

• Technical Skills: Proficiency in analytics tools such as Tableau, Excel, SQL, Python, or similar. Experience with A/B testing platforms and statistical modeling is a must.
• Analytical skills:Strong quantitative and analytical skills to translate complex data, identify trends, and make data-driven recommendations.
• Communication Skills: Strong written and verbal communication skills with the ability to explain technical concepts to non-technical stakeholders. Enthusiastic collaborator with Finance, Product Management, and  Executive teams
• Marketing Acumen: Experience working with multiple types of marketing data, such as MMP and SKAd Attribution data and models, GA4, Offline/Endemic Marketing Tactics, Market Research and Sentiment, and other organic and non-organic marketing data. Relevant experience building and leveraging marketing frameworks for decision making. 
• Project Management: Advanced organizational skills with the ability to manage large, complex projects and prioritize competing demands.
• Statistical Knowledge: Understanding of statistical techniques for A/B testing, incrementally testing, regression analysis, and forecasting.

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 $100,000 and $117,000 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 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

Overview

Bring your passion for creating industry leading ArcGIS products that work on the latest devices and operating systems. ArcGIS Maps SDKs allow developers to build modern mapping applications for mobile and desktop platforms. This is a fantastic opportunity to become part of the product development team and support the delivery of regular, high-quality releases in a fast-paced, dynamic environment.

Esri has a Relocation Assistance Program and can provide support with relocating to the Portland, OR area for this position.

Responsibilities

• Build rich and varied GIS datasets that can be used to highlight product capabilities through interactive sample apps, demos, and websites
• Work with developer teams across Esri to learn about the newest datasets and workflows and assist the Native SDK developers in supporting these datasets and workflows
• Administer, automate, and manage GIS systems and services to support the development of new product features and ongoing product releases
• Verify user workflows across ArcGIS desktop, mobile, and web applications to validate product functionality in end-to-end solutions

Requirements

• 2+ years of GIS experience in a scientific or engineering environment, preferably with a focus on Cartography or Geodata management
• Proficient with Desktop, Web, and/or Mobile GIS applications - ArcGIS, QGIS, or others
• Experience with complex data sets within an enterprise-level environment, including the ability to leverage Oracle and/or SQL Server
• Basic knowledge of a programming language such as Python, C#, or JavaScript for scripting/automation
• Bachelor’s degree in GIS, computer science, engineering, or related field

Recommended Qualifications

• Master’s degree in GIS, computer science, engineering, or related field

#LI-EL1

#LI-Onsite

Overview

Bring your passion for creating industry leading ArcGIS products that work on the latest devices and operating systems. ArcGIS Maps SDKs allow developers to build modern mapping applications for mobile and desktop platforms. This is a fantastic opportunity to become part of the product development team and support the delivery of regular, high-quality releases in a fast-paced, dynamic environment.

Esri has a Relocation Assistance Program and can provide support with relocating to the Redlands, CA area for this position.

Responsibilities

• Build rich and varied GIS datasets that can be used to highlight product capabilities through interactive sample apps, demos, and websites
• Work with developer teams across Esri to learn about the newest datasets and workflows and assist the Native SDK developers in supporting these datasets and workflows
• Administer, automate, and manage GIS systems and services to support the development of new product features and ongoing product releases
• Verify user workflows across ArcGIS desktop, mobile, and web applications to validate product functionality in end-to-end solutions

Requirements

• 2+ years of GIS experience in a scientific or engineering environment, preferably with a focus on Cartography or Geodata management
• Proficient with Desktop, Web, and/or Mobile GIS applications - ArcGIS, QGIS, or others
• Experience with complex data sets within an enterprise-level environment, including the ability to leverage Oracle and/or SQL Server
• Basic knowledge of a programming language such as Python, C#, or JavaScript for scripting/automation
• Bachelor’s degree in GIS, computer science, engineering, or related field

Recommended Qualifications

• Master’s degree in GIS, computer science, engineering, or related field

#LI-EL1

#LI-Onsite

Position Summary

A rapidly growing company is seeking a detail-oriented and highly skilled Mid-Level QA Engineer to join the team. This role plays a crucial part in ensuring software and hardware quality, verifying feature implementations, and maintaining stability throughout the development lifecycle.

The QA Engineer will work closely with the development and product teams to define test plans and test cases based on requirements documents or user stories, execute structured test plans, test new features, and validate bug fixes. The successful candidate will be responsible for maintaining test coverage across web and mobile applications, identifying defects, and ensuring products meet high-quality standards before release.

This role is specifically focused on bridging quality on in-house charging station production to ensure both hardware and software meet the company’s quality standards. The QA Engineer will work closely with charging station developers, mechanical engineers, and software engineers to ensure that charging stations are thoroughly tested with an emphasis on quality across the product stack.

In addition to traditional QA responsibilities, this role includes hands-on validation of charging station hardware and real-world system behavior. The ideal candidate will be comfortable working with physical devices, executing real charging scenarios, and validating how software, firmware, and hardware interact under real operating conditions.

Key Responsibilities

• Design and maintain test plans and test cases based on product requirements and system behavior.
• Perform testing across integrated systems (device + backend + application), ensuring correct behavior across system interactions.
• Execute and validate end-to-end charging workflows, including real-world scenarios with vehicle charging sessions.
• Verify system behavior under varying conditions (e.g., multiple vehicles, load distribution, prioritization, and state transitions).
• Validate charging performance, including charge rates and power delivery against expected system behavior.
• Test system behavior under edge conditions (e.g., network interruptions, restarts, partial failures).
• Debug issues across hardware, firmware, backend, and application layers by analyzing logs and observed system behavior.
• Identify, document, and reproduce defects across testing, staging, and production environments.
• Collaborate with engineering, product, and hardware teams to ensure quality across the full system.

Years of Experience

• 3–5 years of experience in QA or testing roles, with a preference for candidates who have demonstrated strong problem-solving ability, ownership, and the ability to ramp quickly in complex, integrated system environments.

Hard Requirements

Technical Skillset

• Strong proficiency in manual testing techniques across software and integrated systems (black box and grey box), including the ability to validate behavior beyond individual features.
• Experience testing or validating integrated systems (device + backend + application), with an understanding of how components interact in real-world scenarios.
• Experience with test case management tools (e.g., TestRail) and ability to design, organize, and maintain effective test coverage.
• Familiarity with project management tools (e.g., JIRA) and working within Agile development environments.
• Experience with API testing tools (e.g., Postman), including validating request/response flows and system integrations.
• Basic knowledge of SQL for data validation and verifying system behavior across backend services.
• Strong working knowledge of UNIX/Linux environments, including the ability to test, observe, and troubleshoot directly on charging station devices.
• Familiarity with Git and command-line tools for navigating codebases, logs, and system environments.
• Ability to interpret and correlate device logs, backend logs, and system outputs to diagnose issues across multiple system layers.
• Strong troubleshooting skills, with the ability to investigate issues across hardware, firmware, and software boundaries.

Core Expertise

• Comprehensive Testing Skills — Strong expertise in manual testing across web, mobile, and integrated systems, with a solid understanding of black box and grey box techniques.
• System & Integration Validation — Ability to validate end-to-end workflows and system behavior across multiple components, including real-world scenarios involving hardware and backend interactions.
• Debugging & Diagnostic Skills — Proficiency in using developer tools, logs, and system data to troubleshoot issues across device, backend, and application layers.
• Technical Proficiency — Strong understanding of REST APIs, SQL for data validation, and basic web technologies. Ability to validate system integrations and ensure data integrity.
• Cross-Platform & Real-World Testing — Experience testing across platforms (web, mobile, and devices), with the ability to identify platform-specific issues and validate behavior under varying system conditions.
• Agile & Cross-Functional Collaboration — Experience working in Agile environments and collaborating effectively with software, firmware, and hardware teams.
• Communication & Documentation — Strong written and verbal communication skills, with the ability to clearly document defects, test results, and system behavior.

Bonus Skills (Preferred, but not Required)

• Strong understanding of version control systems (e.g., Git) and command-line interfaces.
• Experience with automated testing tools (e.g., Playwright, Selenium) or performance testing tools (e.g., JMeter, Siege).
• Familiarity with EV charging protocols (e.g., OCPP, ISO15118) or similar communication frameworks within the EV ecosystem.
• Understanding of CI/CD pipelines and how testing integrates into release workflows, including build validation, regression testing, and deployment verification.
• Experience supporting or coordinating software release processes, including working across development, QA, and operations teams to ensure smooth, stable, and timely deployments.
• Experience setting up and maintaining test environments, including configuration, deployment, and troubleshooting.
• Experience validating releases in staging or production-like environments, with an understanding of rollout risks and system-level impact.

Additional Bonus

• Hands-on experience in testing for integrated systems.
• Background in mechanical or electrical engineering.
• Background in software engineering.

Soft Skills

• Attention to Detail: Exceptional attention to detail to catch subtle errors and inconsistencies that could lead to larger issues down the line.
• Critical Thinking: The ability to approach problems methodically and use data-driven insights to make informed decisions. A keen analytical mind that questions assumptions and seeks new solutions.
• Adaptability: The capacity to quickly adjust to new challenges and changes in project requirements or technologies, maintaining effectiveness in a dynamic environment.
• Team Collaboration: Strong team player skills, with the ability to work cooperatively with developers, other QA testers, and project managers to achieve common goals.
• Leadership Potential: While primarily a contributor role, potential for leadership is a plus, including the ability to mentor junior staff or lead testing segments of projects.

Why Join

• Be part of a dynamic and fast-growing company
• Competitive Salary
• Benefits Package includes:
• Medical, Dental and Vision insurance
• Paid Holidays
• Paid Time Off
• Ability to Participate in Electric Vehicle Incentive Program
• Ability to Participate in Company 401K Plan with match
• Quarterly Mental Health Days
• Employee Educational Reimbursement

Final compensation will be determined based on experience and skills, but will sit in a range of $80,000 - $90,000

The company is an Equal Opportunity Employer (EOE) and offers a remote-friendly work environment with benefits and the opportunity for personal growth as well as advancement within the company.

Engagement Structure

This role begins as a 1099 independent contractor engagement for up to three (3) months, with the intention of converting to a permanent, full-time position based on mutual fit and performance during the contract period. Benefits listed above apply upon conversion to a permanent employee.

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

Suvoda is a global clinical trial technology company shaping digital experiences that enable clinical trial sponsor and site professionals to take full command over the inherent logistical complexity behind mission-critical and time-sensitive patient interactions in life-sustaining studies for therapeutic areas such as oncology, central nervous system, and rare disease.  

Supporting clinical trials means supporting unique experiments that are inherently complex, high-stakes, and dynamic. It is imperative that Suvoda staff working with clients, end-users, or the systems that client and end-users interact with understand the clinical trial industry, regulations, Suvoda’s software products and processes, and especially the specificities of the unique trial in question before taking any actions they may alter the data of the system in question.  

Responsibilities:

• Work within a cross-functional project team to develop Interactive Response Technology (IRT) for randomization and drug supply management
• Review user requirements specifications, verifying that all requirements can be implemented with the Suvodasoftware in the required timeframe 
• Assistwith the creation of implementation design and technical design documentation 
• Develop software systems that are reliable, maintainable, and efficient, with emphasis on patient safety and integrity of clinical study data
• Manage the deployment of SuvodaIRT systems into all environments, completing all required documentation 
• Assistthe support team with troubleshooting and resolution of issues reported on production systems 
• Participate in the product research and development process by providing the engineering team with new solutionsand ideas based on project experience 
• Generate ideas for innovative technological solutions to increase the quality of Suvodasystem 
• Perform other related duties as required
  

Requirements:

• Bachelor’s degree 
• At least 1 year working experience with C#, .NET, and SQL Server
• Familiarity with Web-Services,  ModelView Controller (MVC) and Entity Framework (EF) a plus 
• High achieving personality
• Desire to learn and grow
• Strong work ethic
• Sense of ownership
• Proactive attitude
• Time management and organizational skills
• Attention to detail

#LI-AC1

Scientist - Tech Transfer ( Onsite in Wilsonville, OR)

Job Description

We are seeking a Scientist to join our Tech Transfer team, focused on advancing and scaling synthetic biology workflows across DNA-based and mammalian cell culture systems. This role sits at the interface of R&D and production, where you will drive the successful transfer of new products and processes into high-throughput manufacturing environments.

You will play a key role in developing, optimizing, and troubleshooting workflows spanning molecular biology and mammalian cell culture systems, ensuring processes are robust, scalable, and production-ready. This includes hands-on experimental work, cross-functional collaboration, and enabling operational teams through training, technical guidance, and documentation.

This is a highly collaborative role partnering with teams across operations, automation engineering, and bioinformatics to translate innovation into reliable production processes. A key component of this work will be designing processes with automation in mind, enabling deployment across a diverse suite of liquid handling platforms to support scalable and standardized manufacturing.

We are looking for someone who combines strong experimental rigor with practical problem-solving, and who is equally comfortable working at the bench and thinking strategically about process improvement. Experience across both DNA technologies (e.g., NGS, cloning) and mammalian cell culture/protein expression systems is highly valued.

If you enjoy working in a fast-paced, multidisciplinary environment where you can directly impact how products are built and delivered at scale, this role offers broad exposure to cutting-edge synthetic biology platforms and technologies.

Key Responsibilities

• Design and execute experiments to develop, optimize, and scale production workflows for synthetic biology products, including DNA and mammalian cell-based protein expression systems
• Drive process improvements by analyzing complex datasets and translating findings into actionable changes across workflows
• Lead technical transfer of new products and processes into production, ensuring robustness, reproducibility, and scalability
• Author and maintain technical documentation, including SOPs, validation protocols, and training materials to support manufacturing teams
• Act as a technical subject matter expert, representing R&D/PD in cross-functional meetings and contributing to project strategy and decision-making
• Collaborate cross-functionally with operations, automation, and bioinformatics teams to troubleshoot issues and implement solutions
• Apply scientific literature and domain expertise to inform experimental design, process development, and strategic direction
• Maintain clear and accurate documentation of experimental work and results using electronic lab notebooks
• Mentor and train team members and operators on newly developed processes and workflows
•  

Qualifications And Required Skills

• PhD in Molecular Biology, Biochemistry, or related field; or Master’s with 2–5+ years of industry experience; or Bachelor’s with 5+ years of relevant experience
• Strong foundation in molecular biology techniques, including DNA/RNA purification, PCR/qPCR, and molecular cloning
• Hands-on experience developing and optimizing mammalian cell culture systems for protein expression (e.g., HEK, CHO)
• Experience designing expression constructs and optimizing systems for yield, solubility, and activity across host platforms
• Proven ability to develop and optimize upstream and downstream workflows, including transfection and protein purification strategies
• Demonstrated experience in experimental design, data analysis, troubleshooting, and method development in complex biological systems
• Strong attention to detail and ability to translate experimental outcomes into scalable process improvements
• Solid scientific judgment and ability to independently drive technical decisions

Preferred Skills

• Experience with next-generation sequencing (NGS) workflows, library preparation, and/or data analysis
• Familiarity with high-throughput workflows and laboratory automation systems (e.g., liquid handlers)
• Programming or data analysis experience (e.g., Python, SQL, JSON) for handling large datasets
• Proven ability to manage multiple priorities in a fast-paced environment
• Strong collaboration and communication skills, with experience working across multidisciplinary teams
• Experience mentoring, training, or onboarding team members
• Demonstrated problem-solving skills and a proactive, solution-oriented mindset
• Self-motivated with a commitment to continuous learning and staying current with scientific advancements

About Twist Bioscience

Twist Bioscience synthesizes genes from scratch, known as “writing” DNA. Just as children learn to both read and write, the next phase of development for the genomics revolution is the ability to write DNA.

At Twist Bioscience, we serve people who are changing the world for the better. In fields such as health care, agriculture, industrial chemicals, and data storage, our unique silicon-based DNA Synthesis Platform provides precision at a scale that is otherwise unavailable to our customers.

Twist Bioscience Corporation is an Equal Opportunity Employer. Twist Bioscience Corporation provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic characteristics, or any other category protected by law.

The base cash compensation for this Oregon-based role is below. In addition to base salary, this role is eligible for bonus, equity, and a generous benefits package. Final compensation amounts are determined by multiple factors, including candidate skill, experience, expertise, and location and may vary from the amount listed above. Compensation may be different in other locations.

The Mission of The MEMIC Group is to make workers' comp work better with compassion, trusted partnerships, and relentless commitment to workforce safety. The secret to the success and longevity of great organizations is their shared vision and strong values. At MEMIC our values are to be conscientious, to be an expert, to be a partner, to be curious and to be transparent.

We are seeking a highly skilled Senior Guidewire Integration Developer to join our Insurance Platforms team. This role is critical to modernizing our insurance platforms and enabling seamless digital experiences for customers. It encompasses both core Guidewire development and Guidewire integration engineering responsibilities. You will work on configuring PolicyCenter and BillingCenter, building scalable integrations using Guidewire Cloud technologies, and ensuring seamless connectivity across enterprise systems. This is a remote position. 

*MEMIC does not offer Stem-OPT EAD Extension for this role*

Responsibilities:

1. Design and build integration apps using Integration Gateway to orchestrate bi-directional flows between Guidewire systems and internal/external platforms.
2. Design, develop, modify, debug, and maintain Guidewire PolicyCenter and BillingCenter configurations and integrations to support core business functionality while ensuring compliance with best practices, Cloud Assurance and security standards.
3. Collaborate closely with business stakeholders, architects, and development teams to understand configuration and integration requirements and design optimal solutions.
4. Implement event-driven patterns using App Events (webhooks/event streams) to enable near real-time data publishing to downstream systems.
5. Evaluate business requirements and develop solutions that meet defined technical, functional, and Guidewire coding and architectural standards.
6. Expose and consume Cloud APIs (REST/JSON) securely using OAuth2, while enforcing API governance including rate limits, schema versioning, and SLAs.
7. Expose and Extend Integration views, especially for use in AppEvents.
8. Design Batch Process and Workqueues to process large amounts of data with performance.
9. Extend the data model and configure UI elements, including screen layouts, wizards, forms, ratings, and workflows to meet evolving business needs.
10. Collaborate with QA teams to ensure successful testing and validation of integration components and develop GUnit/JUnit tests to thoroughly test business logic.
11. Create and maintain technical design documents, specifications, and interface catalogs to support knowledge sharing and long-term maintainability.
12. Provide support for production issues related to Guidewire PolicyCenter systems and integrations, ensuring timely resolution and minimal business disruption.
13. Investigate and resolve configuration and integration-related problems promptly and effectively to maintain system stability and performance.
14. Perform both minor and major Guidewire software upgrades, ensuring compatibility, performance, and adherence to best practices.
15. Stay current with industry trends and Guidewire certifications, continuously upskilling your role profile to match the ongoing innovation within our organization and the industry.
16. Participate in scrums, sprint planning, retrospectives, and other Agile ceremonies to ensure alignment and continuous delivery within the development lifecycle

Requirements: 

1. Bachelor’s degree in computer science or a related field, or equivalent professional experience, and 4+ years of Guidewire development and integration experience.
2. Candidate should hold ACE level certification in Guidewire Cloud Integration within two releases of latest version.
3. Proficiency in Java and GOSU, with strong object-oriented design and development skills.
4. Demonstrated experience in developing Guidewire PolicyCenter configuration and integration, providing end-to-end support for the Guidewire eco-system.
5. Experience with Guidewire Cloud technologies, including Integration Gateway, App Events, Integration Views and Cloud APIs (REST/JSON).
6. Strong understanding of API security and governance, including OAuth2, schema versioning, rate limiting, and scalable design.
7. Solid knowledge of relational databases, advanced SQL, and JSON processing.
8. Experience with event-driven and messaging architectures, including webhooks, pub/sub, queues, DLQs, and AWS services.
9. Strong grasp of SDLC and Agile methodologies, including participation in scrums, sprint planning, and retrospectives.
10. Experience with CI/CD pipelines and DevOps practices, including automated testing (unit, integration, contract), infrastructure as code (IaC), and release automation to GWCP.
11. Knowledge of Guidewire product designer, rating, forms, disbursements, invoicing, and commission concepts is a plus.
12. Demonstrated ownership and commitment to program goals.
13. Strong problem-solving, communication, and stakeholder management skills.

Our comprehensive benefits package includes all traditional offerings such as:

• Health Insurance options, Dental Insurance options and Vision Insurance
• Employee Life Insurance/AD&D and Dependent Life Insurance options
• Short-term & Long-term Disability
• Health Savings Account with potential employer match
• Flexible Medical and Dependent Care Account
• Accident Insurance
• Critical Illness Insurance
• Employee Assistance Program
• Legal/Identify Theft Insurance options
• Long Term Care Insurance
• Pet Insurance
• 401 (k) Retirement Plan with match up to 5%, plus profit sharing & discretionary contributions (subject to vesting)
• 5 weeks of Paid Time Off (PTO)
• 11 paid holidays

We also offer other benefits to help foster a healthy, balance lifestyle such as:

• Flextime schedules
• Paid Parental Leave
• Student loan paydown and refinancing assistance
• Educational assistance for job related courses, seminars, certifications or degrees
• One paid day every year to volunteer for your non-profit of choice
• On-site fitness center (Maine only) or fitness reimbursement
• Subsidized parking
• Sit-Stand desks & daily stretch breaks

  ---

MEMIC is committed to a policy of nondiscrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religious creed, national origin, ancestry, age, disability, genetics, gender identity, veteran's status, sexual orientation, or any other characteristic protected by law. Additionally, we are committed to providing an inclusive and accessible recruitment experience for all candidates. If you need a reasonable accommodation during the interview process, please contact us at hr@memic.com.

To ensure an equitable and authentic interview process, candidates should not use AI or chatbot tools during the live interview or phone screen. We welcome any preparation you choose to do beforehand, but all responses shared during the interview must be your own.

MEMIC's Job Applicant Privacy Notice

ABOUT THIS ROLE

The Staff Data Engineer is a senior leader responsible for designing and evolving core components of onX’s lakehouse and data platform. This role focuses on how data is structured, governed, secured, and described so that analytics, product features, and AI systems can operate reliably at scale.

This engineer operates at the intersection of data architecture, metadata, governance, and security, leading complex initiatives and setting technical direction within the Data Engineering organization. They are a trusted technical partner to Product, Analytics, Data Science, Security, and Platform teams, and serve as a force multiplier for other engineers through high-level technical guidance and active mentorship.

As an onX Data Engineer, your day to day responsibilities would look like:

Technical Leadership & Architecture

• Design and evolve the Iceberg-based lakehouse architecture to balance scalability, cost, performance, and maintainability.
• Define and promote standards for table design, partitioning, schema evolution, optimization, and data layout.
• Lead architectural efforts spanning batch, streaming, and event-driven data processing where they deliver business value.
• Drive the design and delivery of complex, cross-team initiatives, enabling teams to move independently within established architectural guidance.
• Build vs. Buy: Evaluate and integrate technologies.

Metadata, Governance & Open Standards

• Define how datasets, pipelines, features, and models are described, related, and governed using shared metadata.
• Lead the adoption and integration of open-source metadata and catalog tools (e.g., OpenMetadata or similar ecosystems).
• Establish metadata standards that enable self-service analytics, governance, and AI readiness.
• Partner with BI and Analytics to ensure domain models are clearly documented and aligned to business language.
• Collaborate with Data Science to ensure model inputs, features, and outputs are traceable, explainable, and reusable.

Security, Access Control & Compliance

• Design and evolve security and access-control models for Apache Iceberg, including table-, column-, and row-level controls.
• Partner with Security and Platform teams to embed policy enforcement directly into data access paths.
• Drive metadata-driven authorization patterns that scale across tools and user groups.
• Ensure privacy, compliance, and regulatory requirements are incorporated into platform design.
• Balance strong security guarantees with usability to support safe self-service.
  
  

Platform Reliability & Operations

• Build and maintain automation for compaction, retention, lifecycle management, and cost controls.
• Establish observability standards that connect pipeline health, data quality, and reliability metrics.
• Provide architectural oversight during critical incidents and drive long-term 'Keep the Lights On' (KTLO) reduction.
• Recommend tooling and process improvements based on industry standards and operational experience.

Organizational Impact & Collaboration

• Align technical work with business priorities by understanding how data supports onX products and customer outcomes.
• Communicate complex technical concepts clearly to engineers, product partners, and leadership.
• Lead and participate in architecture and design reviews, setting a high bar for technical rigor.
• Foster strong cross-team collaboration across Data Engineering, Platform, Security, Analytics, and Data Science.
• Mentor senior and mid-level engineers, raising the technical bar across the team.

LOCATION

onX has created a thriving distributed workforce community across several US locations. This position can be performed from an onX corporate office, “Basecamp,” or “Connection Hub.” 

• Corporate Offices: onX was founded in Montana with offices in Missoula and Bozeman. If you prefer to work in an office at least part of the time this is a great option.
• Basecamps: Basecamps are established virtual workforce communities where a sizable number of distributed team members group for work, volunteering, socializing, and adventure.  
  • Our current Basecamps are located within a 90-mile radius of the following: Austin, TX; Charlotte, NC; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA. 
• Connection Hubs: Connection Hub locations are smaller, emerging communities of distributed team members. 
  • Our current Connection Hubs are located within a 60-mile radius of the following: Boise, ID; Charleston, SC; Dallas/Fort Worth, TX; Phoenix, AZ; Richmond, VA; Spokane, WA; and Vermont.

WHAT YOU’LL BRING

Required

• Bachelor’s degree in Computer Science or equivalent experience.
• Deep industry experience (typically 12+ years) building and operating large-scale data systems.
• Deep expertise in distributed data systems and data architecture.
• Strong experience with Apache Iceberg and similar table formats (Delta Lake, Hudi).
• Proven experience designing secure and governed data platforms.
• Expertise in Python, SQL, and orchestration patterns (e.g., Airflow).
• Experience working with data ecosystems, including metadata, catalog, or governance tooling.
• Strong written and verbal communication skills.
• Permanent U.S. work authorization.
  
  

Cloud & Platform Experience

• Deep experience in at least one major cloud environment (GCP, AWS, or Azure).
• Familiarity with cloud-native data services such as query engines, stream/batch processing systems, and object storage–based lakehouses.
• Comfort with infrastructure-as-code and automated platform management.

COMPENSATION

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $175,000 to $218,000 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 ARE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits including a no-monthly-cost medical plan 
• Parental leave plan of 5 or 13 weeks fully paid
• 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 in and outside of the gym
• Flexible time away package that includes PTO, STO, VTO, and 7 paid holidays annually

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 PS@onxmaps.com. 

Position open until filled. 

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Who we seek:

We are expanding our Solutions Engineering team. We're always looking for top Engineers to join our winning team. This team works closely with innovative companies interested in leveraging BigID’s platform. You will use your knowledge to influence customer decisions, provide insightful solutions, and drive successful proof-of-value implementations. With your potent technical capabilities, critical and creative thinking, and passion for fast-paced problem-solving, be ready to hit the ground running.

We're seeking someone based in PST.

What you’ll do:

• Work with the Sales team as the technical subject matter expert for BigID’s platform during customer calls and presentations
• Use market and technical knowledge to consult on best practices and offer constructive direction for solution architecture and design
• Stay up-to-date on relevant competitive solutions, products, and services/offerings
• Drive customer success with real-world knowledge and recommendations
• Develop a trusted advisory role with customers, communicating upcoming product changes, enhancements, and serving as an internal voice of the customer
• Work with the post-sales teams to ensure every customer realizes the value of the BigID Platform and continues to contribute to the success of BigID customers

What you’ll bring:

• Interpersonal communication, customer relationship, executive presentation skills
• Excellent organization skills and ability to multitask in a fast-paced startup environment
• Demonstrated ability to address customer needs and provide best practices
• Strong background in Big Data, AI, privacy, data governance, or information security
• Good troubleshooting abilities and a methodical approach
• Ability to describe complex technical concepts to diverse audiences: executives, business stakeholders, and technology practitioners
• Passion for demonstrating solutions and ability to provide technical input during the sales process
• Broad understanding of enterprise data architecture, privacy, and security technologies
• Ability to plan, execute and close out a Proof of Concept with minimal assistance and oversight
• Desire to share knowledge through excellent documentation creation and RFI/RFP responses
• Some prior experience with one or more of the following: RDBMS systems, no-SQL data stores (MongoDB, Cassandra, DynamoDB), Hadoop technologies (such HDFS, Hive, HBase), cloud technologies (AWS EMR, S3, DynamoDB, Redshift, Azure file and blob storage, etc.)
• Prior experience with Identity and Access Management or Data Loss Prevention tools is a plus
• Proficient in Linux and container framework (Docker and Kubernetes)
• Minimum of 3 years in a pre-sales or consulting role within a multinational environment
• Bachelor’s degree in computer science or related discipline (master’s degree a plus)

Our Values:

We look for people who embody our values - Care, Do,Try & Shine.

• Care - We care about our customers and each other
• Do - We do what it takes to make a positive impact
• Try - We try our best and we don’t give up
• Shine - We shine and make it our mission to always stand out

BigBenefits: 

💻 Work from home with a global remote-first community

 Global Culture Corner

 Flexible PTO and Quarterly Volunteer Days

💸 Equity Participation

 100% employer-covered medical, dental, and vision options available to you

🐶 Additional insurance benefits like pet insurance and legal assistance 

📚 Learning & Development Opportunities 

Fidelity Employer Sponsored 401K 

 Paid Parental Leave

The annual base salary range is $135,000 - $150,000. Actual salaries will vary and are based on a candidate’s qualifications, skills, and competencies. Salary is just one component of our Compensation Philosophy. Variable/Bonus Compensation & Equity Incentives align with individual and company performance.

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