About The Role: 

• We're looking for a Staff Software Engineer who wants real ownership in a fast-moving environment. 
• You'll help design, build, deploy, and operate the software that runs Urban Sky's manufacturing operation—a full-stack MRP system that tracks inventory, work orders, bills of materials, quality holds, and serialized parts from receiving through final integration. It's the operational backbone of how we actually build balloons. Because the company is growing quickly, the scope of the role will evolve over time, and you'll have meaningful influence over what we build next and how we build it. 
• You'll work shoulder-to-shoulder with the people using the software every day—manufacturing technicians, logistics coordinators, quality inspectors, and finance. There's no product manager between you and them. You'll learn how parts flow through the building, what makes a quarantine workflow painful at 3pm on a Friday, and how a missed traceability record turns into a compliance problem. Translating messy physical processes into clean software is most of the job. 
• The interfaces you build are for operators, not consumers. A shop-floor tech holding a tablet, scanning a barcode, working through a multi-step assembly procedure—that's your user. Touch targets, scanner integration, and drag-and-drop work instructions matter more than landing-page polish. 
• We operate in an aerospace-regulated environment (AS9100). Every mutation needs an audit trail. Serialized parts need end-to-end traceability. "Move fast and break things" doesn't apply to production data. We still move fast—but with the discipline that comes from knowing a corrupted record can ground a flight. 
• You don't need prior MRP or manufacturing experience. You do need to be excited—or at least not intimidated—by learning a complex business domain alongside the code. 
• If you enjoy small teams and solving ambiguous problems, this role is likely a great fit. 

What You'll Do 

• Our overall software team is roughly 7 people, and this team will be just 2 people, everyone works across the stack. That's not aspirational—it's required. A small team with real ownership only works if everyone can contribute quickly and adapt as the company and product evolve. 
• Senior engineers here build trust by shipping early and expanding their scope through demonstrated ownership. 

What we need you to do right away

• We expect senior engineers to become productive almost immediately. 
• In your first days and weeks, you will: 
  • Set up your environment and start committing code within your first day or two 
  • Learn existing systems by improving them, not by watching from the sidelines 
  • Fix bugs, tighten rough edges, and ship small enhancements to production 
  • Participate in deployments, debugging, and operational workflows 
  • Use AI tools from the start to understand the codebase and accelerate contributions 
  • Ask questions, propose improvements, and engage in technical decisions 
• You won't be waiting for a long ramp period. 
• You'll build context by doing real work that ships. 

What you will grow quickly into

• As you gain context, scope expands fast. 
• Within your first couple of months, you'll be expected to: 
  • Own meaningful areas of our stack across backend, frontend, and infrastructure 
  • Lead design and implementation of projects that may span quarters 
  • Make architectural decisions with an eye toward reliability, operability, and future change 
  • Work directly with operators and stakeholders—often non-engineers—to refine solutions 
  • Drive systems from concept → implementation → production → iteration → support 
  • Continuously simplify, improve, and evolve what you own 
  • Help the team move faster by raising technical quality and reducing friction 
• By this point, you're not just contributing—you're a primary owner. 
• There are no lanes to stay in and no handoffs to hide behind. 
• If something feels confusing to an operator, that's an engineering problem. 
• If a system is brittle, slow, or overbuilt, that's an engineering problem. 
• If a workflow on the shop floor doesn't match the software, that's an engineering problem. 
• If requirements change mid-stream, that's reality—and adapting thoughtfully is part of the job. 
• If AI-generated code is messy, that's also an engineering problem. 
• You'll own systems end-to-end, from design through production and long-term maintenance—even as those systems evolve. 

Our engineering principles 

• These principles guide how we build systems in a fast-moving, real-world environment. 
• Design for operations, not just implementation 
• Software doesn't stop at merge. We design systems that can be deployed, monitored, debugged, and safely operated under changing constraints. 
• Favor simple, adaptable systems 
• Clarity beats cleverness—especially when systems need to change quickly. 
• Own the full lifecycle 
• Engineers are responsible for their systems from design through production, operational support, and ongoing evolution. 
• Build reliability through feedback 
• Observability is a first-class concern. Logs, metrics, and traces help us understand how systems behave as usage and requirements change. 
• Use abstraction sparingly and intentionally 
• Abstractions should make change easier, not harder. If they obscure failures or slow iteration, they're the wrong choice. 
• Scale and evolve based on evidence 
• We increase complexity, performance, and scale in response to real operational needs—not speculative futures. 
• Leverage AI with engineering judgment 
• We use AI aggressively to increase velocity and explore solutions, while remaining fully accountable for correctness and maintainability. 
• Embrace iteration as the default 
• Progress comes from frequent adjustments and steady improvement, not rigid plans. 

AI-assisted development 

• AI isn't supplemental here. It's a core part of our SDLC. 
• We use Claude Code for feature implementation, run automated multi-agent code review on pull requests, and have AI-driven quality checks integrated into CI. A meaningful portion of production code is AI-written and human-shaped. The skill we care about isn't typing speed or autocomplete—it's the judgment to review, restructure, reject, or rewrite AI output until it's correct, readable, and operable. 
• We expect you to: 
  • Use AI tools daily for implementation, debugging, refactoring, and exploration 
  • Adapt quickly as tools, models, and workflows evolve 
  • Apply strong judgment to AI-generated code—you're accountable for what ships, not the model 
  • Use AI to build production systems, not just prototypes 
  • Treat AI as leverage, not a replacement for understanding 
• We care far more about how you use AI than which model you prefer. 

What we are looking for

• This is a senior role. We're optimizing for experience, judgment, and adaptability. 
• You likely have: 
  • 8+ years of professional software engineering experience 
  • Strong fundamentals in system design, data structures, and architecture 
  • Experience building and operating backend systems at scale 
  • Solid instincts for data modeling, schema design, and SQL 
  • Comfort with cloud infrastructure and modern DevOps practices 
  • Experience owning production systems in environments that evolve quickly 
  • Strong communication skills and the ability to collaborate as priorities shift 
• You probably enjoy: 
  • TypeScript and modern web development 
  • Designing clean APIs and well-structured monoliths 
  • Thinking carefully about data models, schemas, and migrations 
  • Infrastructure, reliability, and operational excellence 
  • Mentoring others and raising the bar for the team 
• Learning quickly and adjusting course as new information emerges

Technologies (not a checklist) 

• We currently work with technologies such as: 
  • TypeScript / JavaScript 
  • React, Vite, Mantine UI 
  • tRPC for API contracts 
  • PostgreSQL (raw SQL and migrations, not just an ORM) 
  • ClickHouse for analytics 
  • Playwright for end-to-end testing 
  • AWS, Terraform, Docker 
  • CI/CD pipelines 
• You don't need experience with every tool—but you should be comfortable learning new systems as the stack evolves. 

 Benefits 

• Salary $150,000 - $180,000 per year  
• Stock Options 
• Medical, Vision and Dental 
• Unlimited Vacation Days 
• Cell Phone Bill Stipend 

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

Location: Hybrid (Local to NYC area)

About the team

The Platform team at Capital Rx is made up of a set of passionate, motivated, and driven individuals who are not only experts in technologies but are great problems solvers and brings high energy and inspiration every day. The team always works a sense of ownership and urgency delivering highest quality of work ensuring seamless operations and fostering collaboration across the software engineering department. We own the architecture, framework & standards, infrastructure and CI/CD pipelines which development teams utilize to deliver code to Captial Rx’s Judi® platform. The team is also responsible for the production environment which requires knowledge with monitoring, alerting and on-call practices. The Platform team performs many functions whether that is tactical operations, providing general solutions for the enterprise or giving guidance or recommendations for individual product teams.

Position Summary:

We are a rapidly growing late-stage health tech company helping millions of lives through our innovative product Judi. We’re seeking a highly skilled and experienced Senior Platform Developer II to join our platform team. This pivotal role will be instrumental in building, scaling, and maintain the robust and secure infrastructure that powers our mission-critical platform.

You will be a force multiplier, enabling our development teams to deliver features faster and more reliably. You will champion infrastructure-as-code principles, contribute code to platform scalability, drive automation across the entire software development lifecycle, and ensure our platform meets the highest standards of scalability, performance, and security.

Position Responsibilities:

• Architect, implement, and maintain highly available, scalable, and secure platform & infrastructure
• Develop and maintain robust automation pipelines for continuous delivery (CI/CD), and infrastructure provisioning tools like GoCD, Harness, and Terraform
• Write clean, efficient, and well-tested Python code for automation, tooling and service development.
• Manage and optimize relational or in-memory databases, including PostgreSQL, Redshift and Redis, ensuring high performance, reliability, and data integrity.
• Administer and finetune container orchestration platforms such EKS and ECS.
• Implement and manage serverless architectures leveraging AWS Lambda for various platform functionalities.
• Collaborate closely with development teams to ensure infrastructure aligns with application requirements and best practices.
• Lead efforts in defining and enforcing security best practices across the platform, including adherence to HIPAA standards, FISMA, SOC II, and FedRAMP compliance standards.
• Monitor systems performance, identify bottlenecks, and implement proactive solutions to ensure optimal operation and scalability.
• Participate in on-call rotations to provide operational support and incident response.
• Champion Agile/Scrum methodologies, actively participating in sprint planning, stand-ups, and retrospectives.
• Mentor junior developers and contribute to a culture of technical excellence and continuous improvement.
• Evaluate and recommend new technologies and tools to enhance platform capabilities and efficiency.
• Develop internal tooling and automation scripts using Python and work with SQL to support operational workflows.
• Implement observability (monitoring/logging/alerting) best practices for highly available SaaS services.
• Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance.

Requirements

• 8+ years of experience as a Platform Engineer, DevOps Engineer, or Site Reliability Engineer.
• Deep expertise in AWS infrastructure and services including but not limited to EC2, Lambda, ECS, EKS, RDS, S3, VPC, CloudWatch, SQS, SNS, IAM, Kinesis
• Excellent proficiency with Terraform, Python, SQL, and automation tooling.
• Extensive experience with Docker and container orchestration (Kubernetes/EKS).
• Solid understanding and hands-on experience with SQL, database administration (PostgreSQL preferred), and performance tuning
• Experience with CI/CD systems (e.g., GoCD, GitHub Actions, Harness).
• Proven experience in automating Observability & Monitoring (Grafana, Kibana, Prometheus), standardizing incident response for alerts to maintain SLAs and SLOs
• Hands-on experience in environments compliant with FISMA, SOC 2, and/or FedRAMP.
• Background in building highly scalable, performant SaaS platforms.
• Excellent communication, collaboration and problem-solving skills.
• Ability to work effectively with cross-functional teams, including developers, IT security & compliance, product manager, and scrum masters.
• Strong experience in production on call rotations and responding to alerts.

This position description is designed to be flexible, allowing management the opportunity to assign or reassign duties and responsibilities as needed to best meet organizational goals.

 About the Role:  

At Evio, we are building a suite of solutions that enable pharmacy innovation and improved patient outcomes. Our solutions infrastructure is foundational to the value we offer to customers.  We are seeking an experienced Data Engineer who wants to build reliable, scalable systems to bring our mission to life.   

In this role, you will design, develop, and maintain our AWS-cloud-native data platform and systems necessary for efficient data processing, storage, and analysis. This role will work closely with our product management and data analytics teams to create and manage effective data ETL processes on our platforms: helping shape how data flows across our ecosystem and ensuring it is secure, accurate, and trustworthy.  

This is a hands-on role for a team player who wants to build a best-in-class system and make a difference in health care. We are a lean team with strong company culture, and every teammate plays a mission-critical role in our success.  

Key Responsibilities: 

Design and administer data systems:  

• Implement cloud-native data solutions across cloud services such as AWS Glue, AWS Lambda, AWS Step Functions, Redshift, Aurora, Amazon S3, MWAA-Airflow.
• Design and implement scalable data architectures using AWS cloud services, including data lakes, data warehouses, bulk data ingestion, and transaction processing.  
• Collaborate with customers and teammates to comprehend data requirements and translate business needs into well-designed data models.  
• Assemble large, complex data sets that meet functional business requirements.   
• Stay current with AWS services and recommend suitable tools for specific data engineering tasks.  
• Develop and support the internal applications using Python, SQL, and Stored Procedures.  

Build reliable data processes:  

• Develop, implement, and maintain ETL processes to ingest, clean, and transform complex health care data into our application data platforms.  
• Automate manual processes and to optimize data delivery and reduce operational friction. 

Optimize data pipeline performance:  

• Monitor and tune data pipelines and data storage for performance, cost, and reliability.  
• Implement caching mechanisms and data partitioning strategies to enhance query efficiency and reduce data processing times.  
• Continuously evaluate tools and recommend improvements, striving to consistently raise the bar.  

Lead and collaborate company-wide:  

• Provide technical guidance and mentorship within the data engineering team and foster a collaborative and innovative environment.
• Partner closely with product and analytics team to understand business goals and engineer solutions to the right problems.   
• Contribute to a culture of transparency, accountability, and continuous improvement.  

Protect and govern data responsibly:  

• Implement and enforce data security measures and maintain data governance standards and access controls to protect sensitive data.
• Ensure compliance with health care data regulations and industry best practices.  

The skills and experience you bring to this role include:    

• Bachelor’s degree in computer science, Informatics, Information Systems, or another quantitative field. 
• 10+ years of experience in data engineering or a similar role with demonstrated technical leadership experience.  
• Expertise building and administering, including writing views, stored procedures, and triggers, in AWS-native data systems (Redshift, Aurora, RDS PostgreSQL, Glue, Lambda, Step Functions, MWAA-Airflow).
• Strong Python and SQL experience, including advanced query design and database optimization.
• Experience with healthcare data (Medical Claims, Rx Claims) or similar healthcare data is required.  
• Ability to develop subject-matter expertise and partner thoughtfully with business teams.
• Trusted partner: reliable to deliver accurate work in a timely manner. 
• A passion for working with a team to improve how data drives meaningful outcomes.  

Salary Considerations: 

Anticipated annual base pay range: $130,000 - $150,000 plus additional variable compensation based on performance.

At Evio, we’re committed to building a competitive compensation package to honor the value our teammates bring as well as attract and retain top talent that is aligned with our culture, mission and values. Compensation includes base pay (range shown) and could include other variable compensation opportunities depending on job seniority, location, and date of hire. Evio also offers a number of attractive benefits to eligible teammates including health insurance, retirement savings, life and disability insurance, paid and unpaid time off, and other benefits to make sure Evio teammates and families are well supported.  

Please note that the base pay information shown is a general guideline for the job responsibilities and qualifications listed. Salary decisions are based on candidate experience, and market and business considerations. 

  Evio Benefits:

• Great Health Insurance
  The company pays 100% of medical, dental, and vision premiums for teammates, and 50% for dependents.
• 401K Match
  Evio matches 100% of teammate contribution up to 5% of salary, subject to IRS limits. 
• Time Off
  We have a flexible vacation policy for teammates to unplug and recharge when you need it. There is no minimum or maximum amount of vacation allowed per year, and there is no payment in consideration for unused vacation. Vacation is to be used at your discretion, with approval of leadership.
• Parental Leave
  Generous paid leave for new parents (includes birth and non-birth parents).

Evio values a diverse workplace and is committed to supporting and celebrating the diversity that each teammate brings to the table. We are proud to provide equal employment opportunities to all teammates and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.  

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Enterprise Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

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

#LI-TP1

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Enablement Engineer on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

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

#LI-TP1

What we do  

You’ll join a business engineering team building internal AI solutions that support teams across The Trade Desk. We leverage large language models, retrieval‑augmented generation (RAG), agentic systems, and enterprise platforms like Microsoft Copilot and Anthropic Claude to improve productivity, streamline workflows, and reduce operational friction.

Our team also plays a key role in AI enablement across the company—supporting teams as they adopt Copilot, Claude and similar tools, designing and deploying custom AI agents, and guiding partners through their AI journey from idea to impact.

As a Sr AI Solutions Architect on this team, you’ll be an end-to-end owner—collaborating closely with stakeholders, identifying opportunities, and delivering tools that make a real impact. We’re a nimble, fast-paced, and highly collaborative group that thrives on transforming the way teams operate and driving greater value across The Trade Desk.

What you’ll do: 

Some of the work that you will be doing to help us deliver on our mission is:

• Design and deploy intelligent agentic systems that integrate large language models (LLMs) with enterprise data, tools, and workflows using frameworks like LangChain, LlamaIndex, and Semantic Kernel.
• Contributring to Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights.
• Build and deploy agents using Microsoft Copilot, Copilot Studio, Anthropic Claude, and similar platforms to help teams operationalize solutions within enterprise guardrails.
• Build and iterate on conversational agents that solve real-world problems, meet stakeholder needs, and deliver measurable business value.
• Deliver high-impact features by collaborating across teams, leading through ambiguity, and aligning technical solutions with business goals.
• Drive quality and performance through automated testing, monitoring, and data-driven evaluation of success criteria, user adoption, and operational efficiency.
• Mentor teammates and contribute to a culture of innovation, technical excellence, and continuous learning.

Who you are: 

• You have a Bachelor’s/Master’s level degree in computer science or relevant engineering-related field or equivalent experience.
• You have 8-10+ years of software engineering experience, including 1-2+ years working on AI-powered systems or products.
• You have knowledge of Python and comfortable with additional languages such as C#, SQL, or TypeScript/React.
• You’re excited about AI enablement, including helping teams adopt platforms like Microsoft Copilot, Anthropic Claude and Copilot Studio, building agents, and guiding others through their AI journey.
• You are skilled in data ingestion and transformation using APIs, ETL pipelines, and connectors, and familiar with vector databases and retrieval strategies.
• You communicate clearly across technical and non-technical audiences and thrive in a collaborative, cross-functional environment.
• You are a fast learner who adapts quickly to new technologies and solves complex problems with creativity and pragmatism.

#LI-TP1

A variety of technical opportunities is one of the best things about working at The Trade Desk as a software engineer, which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job. What you know is less important than how well you learn and innovate. We are not seeking engineers who know all the answers; we need engineers who can invent answers no one has thought of yet and find answers to the questions yet to be asked. 

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

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

#LI-TP1

The Role: 

Forge’s software engineering team is passionate about innovation and building scalable solutions that drive liquidity and growth in the private market. Our teams leverage a broad range of new technologies and are well-versed in delivering high-quality, innovative solutions. We thrive on moving fast, delivering value, and living our values of being bold, humble, and accountable.

We are seeking passionate engineers with at least 8+ years of experience delivering innovative software solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings, enjoys collaboration and mentoring engineers, and focuses on delivering value and making an impact.

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.:

• Design, implement, and maintain web applications with customer domain-specific business logic
• Communicate with stakeholders, including Architects, Tech Leads, Product, and Design teams to deliver customer and business value
• Mentor junior engineers and guide the team on internal/external frameworks, best practices, and new technologies
• Develop concise, detailed, and articulate technical documentation
• Leverage Agile and Lean practices
• Lead a workstream, partner with Product on requirements, define technical requirements, and plan actionable tasks
• Design, build, and maintain automated tests (unit and integration as needed) to ensure high code quality
• Support healthy system operations and ensure high availability

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 8+ years of software engineering experience
• Experience as a technical lead for a product engineering team
• Expertise building APIs with C# and .NET
• Experience with event-driven systems (Kafka, RabbitMQ, or similar)
• Experience with CQRS, Event Sourcing, or similar architectural patterns
• Strong knowledge of SQL / relational databases
• Experience contributing to and interpreting system design
• Proven track record of teamwork and delivery
• Experience in fintech or financial services, including familiarity with regulatory considerations

Preferred Skills (Nice-to-Have)

• Experience with KYC (Know Your Customer) workflows
• Experience with multiple server-side programming languages
• Experience with TDD (Test Driven Development) or DDD (Domain Driven Development)
• Experience with Marten (Event Store DB)
• Experience with CI/CD pipelines and deployment processes
• Experience building and scaling systems to millions of users (text truncated in original)

For residents of Denver, CO the annual salary range for this role is $189,000-$215,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

Forge’s software engineering team is passionate about innovation and building scalable solutions that drive liquidity and growth in the private market. Our teams leverage a broad range of new technologies and are well-versed in delivering high-quality, innovative solutions. We thrive on moving fast, delivering value, and living our values of being bold, humble, and accountable.

We are seeking passionate engineers with at least 8+ years of experience delivering innovative software solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings, enjoys collaboration and mentoring engineers, and focuses on delivering value and making an impact.

Location: This role requires 2-3 days a week in office in Soho, NY.

Responsibilities:

• Design, implement, and maintain web applications with customer domain-specific business logic
• Communicate with stakeholders, including Architects, Tech Leads, Product, and Design teams to deliver customer and business value
• Mentor junior engineers and guide the team on internal/external frameworks, best practices, and new technologies
• Develop concise, detailed, and articulate technical documentation
• Leverage Agile and Lean practices
• Lead a workstream, partner with Product on requirements, define technical requirements, and plan actionable tasks
• Design, build, and maintain automated tests (unit and integration as needed) to ensure high code quality
• Support healthy system operations and ensure high availability

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 8+ years of software engineering experience
• Experience as a technical lead for a product engineering team
• Expertise building APIs with C# and .NET
• Experience with event-driven systems (Kafka, RabbitMQ, or similar)
• Experience with CQRS, Event Sourcing, or similar architectural patterns
• Strong knowledge of SQL / relational databases
• Experience contributing to and interpreting system design
• Proven track record of teamwork and delivery
• Experience in fintech or financial services, including familiarity with regulatory considerations

Preferred Skills (Nice-to-Have)

• Experience with KYC (Know Your Customer) workflows
• Experience with multiple server-side programming languages
• Experience with TDD (Test Driven Development) or DDD (Domain Driven Development)
• Experience with Marten (Event Store DB)
• Experience with CI/CD pipelines and deployment processes
• Experience building and scaling systems to millions of users (text truncated in original)

For residents of New York, New York the annual salary range for this role is $209,000-$240,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

Forge’s software engineering team is passionate about innovation and building scalable solutions that drive liquidity and growth in the private market. Our teams leverage a broad range of new technologies and are well-versed in delivering high-quality, innovative solutions. We thrive on moving fast, delivering value, and living our values of being bold, humble, and accountable.

We are seeking passionate engineers with at least 8+ years of experience delivering innovative software solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings, enjoys collaboration and mentoring engineers, and focuses on delivering value and making an impact.

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities:

• Design, implement, and maintain web applications with customer domain-specific business logic
• Communicate with stakeholders, including Architects, Tech Leads, Product, and Design teams to deliver customer and business value
• Mentor junior engineers and guide the team on internal/external frameworks, best practices, and new technologies
• Develop concise, detailed, and articulate technical documentation
• Leverage Agile and Lean practices
• Lead a workstream, partner with Product on requirements, define technical requirements, and plan actionable tasks
• Design, build, and maintain automated tests (unit and integration as needed) to ensure high code quality
• Support healthy system operations and ensure high availability

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 8+ years of software engineering experience
• Experience as a technical lead for a product engineering team
• Expertise building APIs with C# and .NET
• Experience with event-driven systems (Kafka, RabbitMQ, or similar)
• Experience with CQRS, Event Sourcing, or similar architectural patterns
• Strong knowledge of SQL / relational databases
• Experience contributing to and interpreting system design
• Proven track record of teamwork and delivery
• Experience in fintech or financial services, including familiarity with regulatory considerations

Preferred Skills (Nice-to-Have)

• Experience with KYC (Know Your Customer) workflows
• Experience with multiple server-side programming languages
• Experience with TDD (Test Driven Development) or DDD (Domain Driven Development)
• Experience with Marten (Event Store DB)
• Experience with CI/CD pipelines and deployment processes
• Experience building and scaling systems to millions of users (text truncated in original)

For residents of San Francisco, CA the annual salary range for this role is $209,000-$240,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

WHO WE ARE LOOKING FOR:

The Technical Account Manager will lead several of our most strategic Agency partner engagements deepening our integrations with our partners. This individual plays a critical role in translating company initiatives through streamlined technical operations. We are looking to hire someone who understands web technology, learns fast and is not afraid of complexity. You are comfortable leading high visibility projects and sharing best practices with a dynamic group of TAMs.

WHAT YOU WILL BE DOING:

• Manage the post-sale technical relationship for portfolio of accounts spanning multiple channel partners. Participate in strategic meetings to support engagements that require technical consultation
• Know our capabilities and differentiators to help the team identify opportunities to leverage them to solve business needs and support revenue growth
• Lead the development of project tracking and portfolio-specific goals based on the company’s vision and define a framework for reporting progress with leadership.
• Ideate, scope, and program manage engineering work to facilitate custom solutions to be scaled across our partners
• Communicate and collaborate effectively with other functional leaders by solving business challenges together, identifying opportunities for growth, and collaborating to drive efficiency and effectiveness across the organizations.

SKILLS SUMMARY:

• Strong acumen for technical consulting and adept in influencing client technical investments that drive positive business outcomes
• You should have a passion for educating, training, and confidence to bring creativity to problem solving
• Expert project/program manager responsible for setting timelines, stakeholder management, and independently driving initiatives forward. Superb attention to detail is an absolute must.
• Experience with a formal project management method is a plus
• Superior relationship management skills including the ability to influence/advocate for your team in our collaborations with the Commercial and Technical organizations
• Effective decision making tactics that strives to clearly define the context, stay solution oriented and, when necessary, build advocacy with your leadership team
• Quickly grasp & learn new technical subjects and be able to explain them to others.

WHAT YOU BRING TO THE TABLE:

• 2+ years of work experience in a technical client-facing role
• Proficient working knowledge of Excel, Office and Outlook is a must
• Experience with SQL, web technologies/web programming languages, and APIs is strongly preferred
• Demonstrable creative thinking and problem-solving abilities
• Ability to manage multiple priorities and perform in a fluid, fast-paced work environment
• Experience working with clients, product, and engineering teams - with the ability to break down complex concepts to non-technical stakeholders
• Ability to communicate efficiently and effectively
• Experience with digital advertising technology is a major plus

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

[LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652.

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

About the Role

The Revenue Operations team at Gusto is a full-stack team responsible for data, analytics, and operational excellence in pursuit of scaling our revenue growth. The Go-To-Market Analytics team is one functional area, responsible for defining and owning the metrics for scaling our Sales teams. 

Gusto is looking for a Revenue Analytics Engineer to build and maintain foundational data infrastructure that is crucial to growing and scaling our Sales efforts. In this role, you will partner with our GTM analysts to scope and deliver data products for an audience ranging from company and revenue leadership to operational and frontline sales. In doing so, you will own significant portions of our sales data from end-to-end, focusing on the transformation, design, and visualization workflows. In addition, you will establish best practices for systems design and workflows to maximize usefulness of AI at scale. 

This role will report to the Head of Go-To-Market analytics, and partner closely with Data Science, Data Platform, and Business Technology teams. 

Here’s what you’ll do day-to-day:

• Establish relationships with internal stakeholders to determine business needs, scoping and delivering solutions through data products
• Design, build, and maintain data pipelines and dashboards to automate “keep the lights on” work out of manually-managed processes
• Build a data foundation by incorporating business logic into raw data tables, laying the groundwork to enable value-add insights
• Create a dynamic reporting environment based on stakeholder needs
• Identify data discrepancies and set best practices for data logic to create a clean and well-documented environment
• Collaborate with broader data organization as steward to the definition and process management of core Gusto metrics

Here’s what we're looking for:

• Education or work experience in Engineering or Computer Science, or a related technical field 
• 7+ years of experience in an analytics engineering, business intelligence, or technical data analytics role
• Experience with SQL and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, etc.
• Command-line experience and familiarity with version control collaboration tools (git)
• Experience with data pipeline management technologies with dependency checking, such as Airflow, as well as schema design and data modeling tools (dbt)
• Experience with data visualization technologies, e.g., Tableau, Looker, Sigma, Mode, Hex
• Experience with Python and data ingestion tools
• Ability to problem-solve open-ended problems and project manage dependencies and timelines to optimal outcomes
• Ability to demonstrate tools, business intuition, and attention to detail for data validation and QA 

Our cash compensation amount for this role is targeted at $138,000-156,000 in Denver & most remote locations, and $168,000-189,000 in New York & San Francisco Bay Area. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day.

Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally- connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small- to medium-sized workplaces globally.

The Team: Marketplace Quality Engineering:

Every second, our bidder evaluates millions of ad opportunities across thousands of publishers and supply paths. Not all of that supply is created equal — some of it is duplicated, some is structurally inaccessible, and some degrades advertiser outcomes. The Marketplace Quality Engineering team exists to make sure our platform is buying the right impressions, not just more impressions.

We own the systems that assess, measure, and optimize supply quality across the programmatic ecosystem. Our work spans deduplication, supply path analysis, quality modeling, and the tooling that turns those signals into decisions at bid time. The problems are technically deep — think identity resolution across fragmented supply chains, statistical modeling to separate signal from noise, and real-time decisioning at platform scale — and they have direct, measurable impact on both advertiser outcomes and platform economics.

This is not theoretical work. When we ship a model update, spend distribution across the platform shifts. Our engineering decisions translate directly into tens of millions of dollars of measurable business impact. If you want to build systems where what you ship visibly matters, this is the team.

You will work with C# / .NET as a core strength, alongside Python and SQL where data and automation need it, and partner closely with product, data, and platform teams across time zones.

Who you are:

Our culture runs deeper than having fun together (though we do that well, too). We take pride in our engineers being trust-builders, generous givers, scrappy problem solvers, and gritty pursuers of excellence. You do not need to meet every requirement below, but people who meet most of them tend to thrive in this role:

- You are comfortable working on an agile, distributed team across time zones and continents.

- You communicate effectively with both technical and non-technical audiences.

- You have a solid grasp of computer science and engineering fundamentals.

- You have strong experience with distributed systems and data-heavy backend work (services, pipelines, or both).

- You are proficient in C# / .NET.

- You are productive with modern development tools: Visual Studio, Visual Studio Code, Rider, and Git.

- You bring 7+ years of software development or engineering experience.

Nice to have (not required): GraphQL or REST API design, large-scale data processing frameworks (e.g. Apache Spark), workflow orchestration tools (e.g. Apache Airflow), schema-based data serialization, Kubernetes, Kafka, database engines (Microsoft SQL Server, PostgreSQL, Aerospike, Vertica, Redis), microservices, Python for data work or automation, and experience working across large codebases with multiple teams.

A wide range of technical opportunities is one of the best parts of engineering at The Trade Desk, which is why we do not expect you to know every technology we use on day one. What matters is that you learn quickly and solve complex problems with the right tools. What you know today matters less than how well you learn, adapt, and innovate. We are not looking for people who already have all the answers — we want engineers who can invent answers no one has thought of yet and frame the questions we have not yet asked.

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

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

Preferred Qualifications

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

Compensation Details

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

Small business owners trust Gusto with something fundamental: making sure their people get paid, on time, every time. As a Principal Data Scientist on the Payments team, you'll sit at the intersection of financial infrastructure and data science — translating the complexity of a high-scale payments ecosystem into the insights and models that shape how we build, operate, and improve our payments products. 

In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our payments data to deliver insights and answer questions. You’ll also integrate AI-assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. 

This is a role for someone who's equally comfortable diving into ledger-level transaction data and standing in front of a payments engineering team to influence architecture decisions. If you want your work to directly protect and improve the financial lives of hundreds of thousands of small businesses, this is the role.

Here’s what you’ll do day-to-day:

• Own payments intelligence end-to-end: Design and maintain measurement frameworks for payment success rates, failure root causes, retry strategies, and settlement timing — becoming the authoritative source of truth for payments health across the org.
• Partner with payments engineering: Embed with backend engineering teams to understand infrastructure constraints and data availability, translate that knowledge into well-scoped experiments, and influence roadmap prioritization with data-backed recommendations.
• Drive experimentation at scale: Design and analyze A/B tests and quasi-experiments across payment flows — including retry logic, routing decisions, and failure recovery — ensuring statistical rigor even in low-conversion, high-variance payment environments.
• Build predictive models: Develop and deploy models for payment failure prediction, risk scoring, and anomaly detection that operate at Gusto's transaction volume, partnering with Machine Learning Engineers and Product Engineers on productionization and monitoring.
• Build AI-native data products: Go beyond using AI to go faster; build data products and automated workflows with AI as a core component. Know what "good" looks like for a clustering model or automated workflow, when to trust the output, when to challenge it, and how to build guardrails that let the team scale AI use responsibly in a regulated financial context.
• Own the business narrative: Be the person payments product and engineering leadership calls before an exec review, not after. Comfortable defending methodology on ARR projections, CX attribution, and cost savings in a room with skeptics. Translate nuanced statistical results and model outputs into clear, actionable narratives for payments engineers, product managers, finance partners, and executive leadership.

Here’s what we're looking for:

• 10+ years of experience in Data Science or a closely related quantitative role at a product-focused software company, with meaningful exposure to payments, fintech, or financial infrastructure.
• Deep payments domain knowledge: Hands-on experience with payments infrastructure: ACH, card networks, bank integrations, settlement flows, or equivalent, with a strong intuition for how backend systems shape data availability and quality.
• Strong SQL and Python skills, with experience querying large-scale transactional datasets and building reproducible analytical pipelines.
• Proven experimentation and causal inference expertise: Ability to design rigorous experiments in challenging payment contexts (rare events, high variance, non-stationarity) and communicate trade-offs clearly.
• AI-native mindset: Has built data products and analytical workflows with AI as a core component, not just used AI to go faster. Knows what "good" looks like for a clustering model or automated workflow, when to trust the output, when to challenge it, and how to build guardrails that scale AI use responsibly in a financial context.
• Cross-functional influence: Track record of collaborating with and influencing backend engineers and technical stakeholders, not just product and business partners.

Our cash compensation amount for this role is targeted at $184,000/yr - $210,000/yr in Denver, and $217,000/yr - $250,000 for San Francisco and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

GHX is seeking a Senior Software Engineer to work on our Enterprise Integration solutions. The position will report to the Manager, SWE and be responsible for leading development efforts toward the creation, implementation, and support of existing and next-generation software solutions. The Senior Software Engineer will analyze, design, code, and debug enhancements to existing software and/or new products used in on premise and cloud-based applications. They will be a leader in their teams integration with AI and Claude Code.  This role is responsible for interacting with stakeholders to define system requirements and/or necessary modifications in an Agile/Scrum environment.

Principle duties and responsibilities:

• Gathers and writes technical requirements for complex stories, features, and epics.  Authors technical designs.
• Leverages Java to develop Rest API’s..  
• Implements applications in cloud-based infrastructure.
• Identifies best practices and guides other team members in the implementation of best practices.
• Leverages Angular to develop user friendly applications.
• Maintains, modifies, and improves existing applications.
• Recognizes when a broad solution is needed based on trends/root causes and recommends solutions. 
• Contributes to and may lead project document reviews and design/code reviews.
• Ensures adherence to IT Control Policies throughout design, development, and testing.
• Proactively works with cross-functional teams.  Builds and maintains good business relationships that help drive ideas and solutions. 
• Proactively engages team to review ideas, solutions, issues, and/or concerns.
• Applies AGILE concepts and works collaboratively and closely with QA in an Agile/Scrum environment. 
• Trains and mentors new/junior teammates and coordinate the activities within the larger team.

Competencies:

• Proficient with multiple technologies and may have some understanding of architectural principles.
• Identifies, implements, and applies best practices. Is the “go to” person on the team.
• Defines how the work should be done; provides intelligent alternatives to the status quo.  Sells and drives ideas.  Owns issues and can work effectively inside and outside of the team to influence and drive results.
• Ability to handle multiple projects and possesses a proven track record of high-quality deliverables.
• Ability to effectively communicate technical concepts to technical staff and can work effectively with cross-functional departments with varying degrees of technical experience.
• Understands and can explain up and downstream impacts across products, teams, and the organization.
• Constructively challenges the status quo; develops, proposes, and supports the implementation of innovative and creative solutions. Iterates and improves across multiple business domains.
• Displays flexibility in adapting to changing conditions and helps lead others through change.
• Leads by example, promotes a common purpose, and is a catalyst for success.
• Thinks strategically, displays a high degree of emotional maturity, and demonstrates a positive outlook.
• Strong team player, makes a valuable contribution to team objectives, displays trust and mutual understanding, accepts constructive feedback, and handles confrontation constructively.
• Possesses a broad understanding of Agile/LEAN principles and the ability to apply the AGILE methodology.

Required Qualifications:

• Requires a minimum of 8 years of experience in software development.
• BS Degree in Computer Science.
• Experience with leading teams in use of Claude Code
• Prior experience working in an AGILE/SCRUM environment.
• Must be able to work independently and as part of a team on multiple overlapping projects.
• Proven track record of successfully delivering large projects.
• Strong Java developer
• Object Oriented Design and Development skills, including understanding of common design patterns.
• Experience with containerization and container orchestration.
• Experience with AWS cloud infrastructure
• Experience with Angular application development.
• Experience with Restful and/or SOAP web services
• Relation Database & SQL Experience
• Basic understanding of some networking protocols [TCP, HTTP, FTP, SSH, SSL] and interfaces.
• Experience with Linux / UNIX
• Experience with GIT Code management.
• Experience with Build tools – Maven, Gradle

Preferred qualifications:

• Certificate-based authentication, cryptography
• Experience in System integration/ B2B integrations / SCM / MMIS / ERP development or integration is a plus
• Post-graduate degree.
• EDI Experience is a plus
• Experience with AI PLDC integration
• Exposure to UI framework like Angular is a plus
• SSL and java cryptography programming experience
• Load testing using any toolset
• Functional and behavioral testing using any toolset
• Exposure to CICD process using Jenkins/ Hudson, Bamboo or something similar.
• Experience with Spring.
• Familiarity with centralized log management solution
• Data analytics is a plus
• Team player with a good attitude.

Estimated salary range: $128,000 - $152,000

The base salary range represents the anticipated low and high end of the GHX’s salary range for this position. Actual salaries will vary and will be based on various factors, such as candidate’s qualifications, skills, competencies and proficiency for the role. The base salary is one component of GHX’s total compensation package for employees. Other rewards and benefits include: health, vision, and dental insurance, accident and life insurance, 401k matching, paid-time off, and education reimbursement, to name a few. To view more details of our benefits, visit us here: https://www.ghx.com/about/careers/

What You'll Do 

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

What We Value:

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

Your Ideal Background:

Required:

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

Nice to Have: 

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

Compensation and Benefits:  

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

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

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

*remote work will require an exception from the hiring team

The Role: 

As a Senior Data Engineer focused on data engineering, you will play a key role in delivering a high-quality data platform responsible for maintaining and delivering Forge data to internal and external clients. You will implement new features, maintain existing functionality, and perform code reviews, unit testing, and production deployments using Agile methodologies. You will collaborate closely with Product, Design, and Engineering teams to ensure requirements are well defined and delivered in a timely manner.

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities

• Collaborate with cross-functional teams to understand requirements and deliver high-quality software solutions
• Implement software solutions in line with provided estimates and requirements
• Stay current with the latest trends and technologies in data engineering and advocate for appropriate adoption

Qualifications

• 3–5+ years of development experience using object-oriented languages such as TypeScript, C#, or Java
• Experience with scripting languages such as Python for data-related tasks
• Familiarity with modern data architectures (e.g., Medallion Architecture, data lakes)
• Experience in Private Markets or Financial Services, specifically working with financial market data
• Proven experience setting up CI/CD pipelines, managing data orchestration, application deployments, and ensuring code quality
• Strong project management skills, with the ability to take features from planning through deployment, including hands-on backend and frontend development
• Proficiency in databases such as PostgreSQL and strong SQL skills
• Experience with cloud platforms such as AWS (or equivalent like Azure or GCP)
• Extensive experience with version control systems such as Git and platforms like GitHub
• Familiarity with Agile project management tools such as JIRA or similar tools

Preferred Qualifications

• Experience migrating systems from legacy architectures to modern tech stacks
• Knowledge of real-time data processing and event-driven architectures using technologies such as WebSockets or Kafka
• Experience leading offshore and nearshore engineering teams
• Experience using large language models and agentic workflows

For residents of Denver, CO the annual salary range for this role is $100,000-$115,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

The Role: 

Forge’s software engineering team is passionate about innovation and building scalable solutions that drive liquidity and growth in the private market. Our teams are leveraging a broad range of new technologies and are well-versed in delivering high quality, innovative solutions. We thrive on moving fast, delivering value, and living our values of being bold, humble, and accountable.

We are seeking passionae engineers with at least 8 years of experience delivering innovative software solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings, enjoys collaboration and mentoring engineers, and focuses on delivering value and making an impact.    

Location: This role requires 2-3 days a week in office in Soho, NY

Responsibilities:

• Design, implement, and maintain web applications with marketplace middleware-specific business logic
• Communicate with stakeholders. Work with Architects, Tech Leads, Product, and Design members to arrive at solutions that produce customer and business value.
• Mentor junior engineers. Guide members of the development team on internal and external frameworks, software development best practices, and new technologies.
• Develop concise, articulate, and detailed technical documentation
• Leverage Agile and Lean practices
• Lead a workstream, partner with product on requirements, lead technical requirements, and plan actionable tasks for the team
• Design, build, and maintain automated tests (unit and at times integration), ensuring high code quality
• Support healthy system operations and ensure high levels of availability are achieved

 Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent years of working experience in the field
• 8+ years of software engineering experience
• Experience as a technical lead for a product engineering team
• Expertise building APIs with C# and .NET
• Experience developing event-driven systems leveraging Kafka, RabbitMQ, or similar
• Experience with CQRS, Event Sourcing, or similar approaches
• Experience with SQL / Relational Databases
• Experience interpreting and contributing to system design
• Proven track-record of teamwork and delivery
• Fintech or Financial services industry experience with working knowledge of financial regulators and their concerns

Preferred Qualifications:  

• Experience with KYC (Know Your Customer) workflows
• Experience with multiple server-side programming languages 
• Experience with Test Driven Development (TDD) or Domain Driven Development
• Experience with Marten for Event Store DB
• Experience with CI/CD pipelines and managing application deployments
• Experience with scaling systems to millions of users
  • Working knowledge of the private market

For residents of New York, NY the annual salary range for this role is $209,000-$240,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As a Senior Data Engineer focused on data engineering, you will play a key role in delivering a high-quality data platform responsible for maintaining and delivering Forge data to internal and external clients. You will implement new features, maintain existing functionality, and perform code reviews, unit testing, and production deployments using Agile methodologies. You will collaborate closely with Product, Design, and Engineering teams to ensure requirements are well defined and delivered in a timely manner.

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities

• Collaborate with cross-functional teams to understand requirements and deliver high-quality software solutions
• Implement software solutions in line with provided estimates and requirements
• Stay current with the latest trends and technologies in data engineering and advocate for appropriate adoption

Qualifications

• 3–5+ years of development experience using object-oriented languages such as TypeScript, C#, or Java
• Experience with scripting languages such as Python for data-related tasks
• Familiarity with modern data architectures (e.g., Medallion Architecture, data lakes)
• Experience in Private Markets or Financial Services, specifically working with financial market data
• Proven experience setting up CI/CD pipelines, managing data orchestration, application deployments, and ensuring code quality
• Strong project management skills, with the ability to take features from planning through deployment, including hands-on backend and frontend development
• Proficiency in databases such as PostgreSQL and strong SQL skills
• Experience with cloud platforms such as AWS (or equivalent like Azure or GCP)
• Extensive experience with version control systems such as Git and platforms like GitHub
• Familiarity with Agile project management tools such as JIRA or similar tools

Preferred Qualifications

• Experience migrating systems from legacy architectures to modern tech stacks
• Knowledge of real-time data processing and event-driven architectures using technologies such as WebSockets or Kafka
• Experience leading offshore and nearshore engineering teams
• Experience using large language models and agentic workflows

For residents of San Francisco, CA the annual salary range for this role is $110,000-$130,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

Forge’s software engineering team is passionate about innovation and building scalable solutions that drive liquidity and growth in the private market. Our teams are leveraging a broad range of new technologies and are well-versed in delivering high quality, innovative solutions. We thrive on moving fast, delivering value, and living our values of being bold, humble, and accountable.

We are seeking passionae engineers with at least 8 years of experience delivering innovative software solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings, enjoys collaboration and mentoring engineers, and focuses on delivering value and making an impact.    

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities:

• Design, implement, and maintain web applications with marketplace middleware-specific business logic
• Communicate with stakeholders. Work with Architects, Tech Leads, Product, and Design members to arrive at solutions that produce customer and business value.
• Mentor junior engineers. Guide members of the development team on internal and external frameworks, software development best practices, and new technologies.
• Develop concise, articulate, and detailed technical documentation
• Leverage Agile and Lean practices
• Lead a workstream, partner with product on requirements, lead technical requirements, and plan actionable tasks for the team
• Design, build, and maintain automated tests (unit and at times integration), ensuring high code quality
• Support healthy system operations and ensure high levels of availability are achieved

 Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent years of working experience in the field
• 8+ years of software engineering experience
• Experience as a technical lead for a product engineering team
• Expertise building APIs with C# and .NET
• Experience developing event-driven systems leveraging Kafka, RabbitMQ, or similar
• Experience with CQRS, Event Sourcing, or similar approaches
• Experience with SQL / Relational Databases
• Experience interpreting and contributing to system design
• Proven track-record of teamwork and delivery
• Fintech or Financial services industry experience with working knowledge of financial regulators and their concerns

Preferred Qualifications:  

• Experience with KYC (Know Your Customer) workflows
• Experience with multiple server-side programming languages 
• Experience with Test Driven Development (TDD) or Domain Driven Development
• Experience with Marten for Event Store DB
• Experience with CI/CD pipelines and managing application deployments
• Experience with scaling systems to millions of users
  • Working knowledge of the private market

For residents of San Francisco, CA the annual salary range for this role is $209,000-$240,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

Forge’s software engineering team is passionate about innovation and building scalable solutions that drive liquidity and growth in the private market. Our teams are leveraging a broad range of new technologies and are well-versed in delivering high quality, innovative solutions. We thrive on moving fast, delivering value, and living our values of being bold, humble, and accountable.

We are seeking passionae engineers with at least 8 years of experience delivering innovative software solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings, enjoys collaboration and mentoring engineers, and focuses on delivering value and making an impact.    

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities:

• Design, implement, and maintain web applications with marketplace middleware-specific business logic
• Communicate with stakeholders. Work with Architects, Tech Leads, Product, and Design members to arrive at solutions that produce customer and business value.
• Mentor junior engineers. Guide members of the development team on internal and external frameworks, software development best practices, and new technologies.
• Develop concise, articulate, and detailed technical documentation
• Leverage Agile and Lean practices
• Lead a workstream, partner with product on requirements, lead technical requirements, and plan actionable tasks for the team
• Design, build, and maintain automated tests (unit and at times integration), ensuring high code quality
• Support healthy system operations and ensure high levels of availability are achieved

 Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent years of working experience in the field
• 8+ years of software engineering experience
• Experience as a technical lead for a product engineering team
• Expertise building APIs with C# and .NET
• Experience developing event-driven systems leveraging Kafka, RabbitMQ, or similar
• Experience with CQRS, Event Sourcing, or similar approaches
• Experience with SQL / Relational Databases
• Experience interpreting and contributing to system design
• Proven track-record of teamwork and delivery
• Fintech or Financial services industry experience with working knowledge of financial regulators and their concerns

Preferred Qualifications:  

• Experience with KYC (Know Your Customer) workflows
• Experience with multiple server-side programming languages 
• Experience with Test Driven Development (TDD) or Domain Driven Development
• Experience with Marten for Event Store DB
• Experience with CI/CD pipelines and managing application deployments
• Experience with scaling systems to millions of users
  • Working knowledge of the private market

For residents of Denver, CO the annual salary range for this role is $189,000-$220,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As a Senior Software Engineer II focusing on trading engineering, you will play a critical role in delivering a high-quality trading platform that powers trading functionality in the Forge Marketplace. You will identify opportunities to enhance trading products, including integrating modern low-latency technologies, and help define the direction and roadmap for trading engineering initiatives.

You will collaborate closely with Product, Design, and Engineering teams to ensure seamless integration of trading technologies into products, improving both user experience and application performance.

Location: This role requires 2-3 days a week in office in Soho, NY.

Responsibilities:

• Deliver software on time with accurate estimates
• Take ownership of production changes, including monitoring and maintaining runbooks
• Provide high-quality code reviews and help improve team engineering standards
• Design scalable and resilient trading platform architecture with a focus on performance
• Participate in design reviews and contribute to technical direction
• Serve as a technical expert for trading systems for internal teams and external partners
• Collaborate cross-functionally to translate business requirements into technical solutions
• Solve complex engineering challenges, particularly within code generation frameworks

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5–8 years of software engineering experience
• 5+ years of development experience in compiled, object-oriented languages (e.g., TypeScript, C#, Java)
• 2+ years of experience in dynamic scripting languages (e.g., Python, JavaScript, Ruby)
• Experience with real-time data processing and event-driven systems (e.g., WebSockets, Kafka)
• Strong SQL skills and experience with PostgreSQL and/or MySQL
• Experience building CI/CD pipelines and managing production deployments
• Familiarity with cloud platforms (AWS, Azure, GCP), proficiency with Git, GitHub, and Agile tools such as JIRA
• Experience in Private Markets or Financial Services, especially financial market data
• Strong collaboration and teamwork skills, proven ability to unblock and mentor other engineers
• Strong track record of delivery in high-performance engineering environments, commitment to diversity, inclusion, and building high-performing teams

For residents of New York, New York the annual salary range for this role is $174,000-$210,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As a Senior Software Engineer II focusing on trading engineering, you will play a critical role in delivering a high-quality trading platform that powers trading functionality in the Forge Marketplace. You will identify opportunities to enhance trading products, including integrating modern low-latency technologies, and help define the direction and roadmap for trading engineering initiatives.

You will collaborate closely with Product, Design, and Engineering teams to ensure seamless integration of trading technologies into products, improving both user experience and application performance.

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities:

• Deliver software on time with accurate estimates
• Take ownership of production changes, including monitoring and maintaining runbooks
• Provide high-quality code reviews and help improve team engineering standards
• Design scalable and resilient trading platform architecture with a focus on performance
• Participate in design reviews and contribute to technical direction
• Serve as a technical expert for trading systems for internal teams and external partners
• Collaborate cross-functionally to translate business requirements into technical solutions
• Solve complex engineering challenges, particularly within code generation frameworks

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5–8 years of software engineering experience
• 5+ years of development experience in compiled, object-oriented languages (e.g., TypeScript, C#, Java)
• 2+ years of experience in dynamic scripting languages (e.g., Python, JavaScript, Ruby)
• Experience with real-time data processing and event-driven systems (e.g., WebSockets, Kafka)
• Strong SQL skills and experience with PostgreSQL and/or MySQL
• Experience building CI/CD pipelines and managing production deployments
• Familiarity with cloud platforms (AWS, Azure, GCP), proficiency with Git, GitHub, and Agile tools such as JIRA
• Experience in Private Markets or Financial Services, especially financial market data
• Strong collaboration and teamwork skills, proven ability to unblock and mentor other engineers
• Strong track record of delivery in high-performance engineering environments, commitment to diversity, inclusion, and building high-performing teams

For residents of San Francisco, CA the annual salary range for this role is $174,000-$210,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As a Senior Software Engineer II focusing on trading engineering, you will play a critical role in delivering a high-quality trading platform that powers trading functionality in the Forge Marketplace. You will identify opportunities to enhance trading products, including integrating modern low-latency technologies, and help define the direction and roadmap for trading engineering initiatives.

You will collaborate closely with Product, Design, and Engineering teams to ensure seamless integration of trading technologies into products, improving both user experience and application performance.

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities:

• Deliver software on time with accurate estimates
• Take ownership of production changes, including monitoring and maintaining runbooks
• Provide high-quality code reviews and help improve team engineering standards
• Design scalable and resilient trading platform architecture with a focus on performance
• Participate in design reviews and contribute to technical direction
• Serve as a technical expert for trading systems for internal teams and external partners
• Collaborate cross-functionally to translate business requirements into technical solutions
• Solve complex engineering challenges, particularly within code generation frameworks

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• 5–8 years of software engineering experience
• 5+ years of development experience in compiled, object-oriented languages (e.g., TypeScript, C#, Java)
• 2+ years of experience in dynamic scripting languages (e.g., Python, JavaScript, Ruby)
• Experience with real-time data processing and event-driven systems (e.g., WebSockets, Kafka)
• Strong SQL skills and experience with PostgreSQL and/or MySQL
• Experience building CI/CD pipelines and managing production deployments
• Familiarity with cloud platforms (AWS, Azure, GCP), proficiency with Git, GitHub, and Agile tools such as JIRA
• Experience in Private Markets or Financial Services, especially financial market data
• Strong collaboration and teamwork skills, proven ability to unblock and mentor other engineers
• Strong track record of delivery in high-performance engineering environments, commitment to diversity, inclusion, and building high-performing teams

For residents of Denver, CO the annual salary range for this role is $157,000-$190,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As our Senior Data Engineer focusing on data engineering, you will play a crucial role delivering a high-quality data platform that is responsible for maintaining and delivering Forge data to internal and external clients as well as improving and maintaining internal user interfaces to interact with this data. You will implement new features, maintain existing features and perform code reviews, unit testing, and production deployments for our data platform using agile methodologies. Collaborating closely with Product, Design, and Engineering teams, you’ll ensure requirements are well defined, and changes are delivered in a timely manner. 

Location: This role requires 2-3 days a week in office in San Francisco, CA.

For residents of San Francisco, CA the annual salary range for this role is $200,000-$230,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

For residents of Denver, CO the annual salary range for this role is $189,000-$200,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role:

Forge’s software engineering team is passionate about innovation and building scalable solutions that drive liquidity and growth in the private market. Our teams are leveraging a broad range of new technologies and are well-versed in delivering high quality, innovative solutions. We thrive on moving fast, delivering value, and living our values of being bold, humble, and accountable.

We are seeking passionate engineers with at least 8 years of experience delivering innovative software solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings, enjoys collaboration and mentoring engineers, and focuses on delivering value and making an impact. 

Location: This role requires 2-3 days a week in office in Soho, NY

Responsibilities:

• Design, implement, and maintain web applications with marketplace middleware-specific business logic
• Communicate with stakeholders. Work with Architects, Tech Leads, Product, and Design members to arrive at solutions that produce customer and business value.
• Develop concise, articulate, and detailed technical documentation
• Leverage Agile and Lean practices
• Design, build, and maintain automated tests (unit and at times integration), ensuring high code quality
• Support healthy system operations and ensure high levels of availability are achieved

 Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent years of working experience in the field
• 4+ years of software engineering experience
• Expertise building APIs with C# and .NET
• Experience developing event-driven systems leveraging Kafka, RabbitMQ, or similar
• Experience with CQRS, Event Sourcing, or similar approaches
• Experience with SQL / Relational Databases
• Proven track-record of teamwork and delivery
• Fintech or Financial services industry experience with working knowledge of financial regulators and their concerns

Preferred Qualifications:  

• Experience with multiple server-side programming languages 
• Experience with Test Driven Development (TDD) or Domain Driven Development
• Experience with CI/CD pipelines and managing application deployments
  • Working knowledge of the private market

For residents of New York, NY the annual salary range for this role is $169,000-$200,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role:

Forge’s software engineering team is passionate about innovation and building scalable solutions that drive liquidity and growth in the private market. Our teams are leveraging a broad range of new technologies and are well-versed in delivering high quality, innovative solutions. We thrive on moving fast, delivering value, and living our values of being bold, humble, and accountable.

We are seeking passionate engineers with at least 8 years of experience delivering innovative software solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings, enjoys collaboration and mentoring engineers, and focuses on delivering value and making an impact. 

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Responsibilities:

• Design, implement, and maintain web applications with marketplace middleware-specific business logic
• Communicate with stakeholders. Work with Architects, Tech Leads, Product, and Design members to arrive at solutions that produce customer and business value.
• Develop concise, articulate, and detailed technical documentation
• Leverage Agile and Lean practices
• Design, build, and maintain automated tests (unit and at times integration), ensuring high code quality
• Support healthy system operations and ensure high levels of availability are achieved

 Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent years of working experience in the field
• 4+ years of software engineering experience
• Expertise building APIs with C# and .NET
• Experience developing event-driven systems leveraging Kafka, RabbitMQ, or similar
• Experience with CQRS, Event Sourcing, or similar approaches
• Experience with SQL / Relational Databases
• Proven track-record of teamwork and delivery
• Fintech or Financial services industry experience with working knowledge of financial regulators and their concerns

Preferred Qualifications:  

• Experience with multiple server-side programming languages 
• Experience with Test Driven Development (TDD) or Domain Driven Development
• Experience with CI/CD pipelines and managing application deployments
  • Working knowledge of the private market

For residents of Denver, CO the annual salary range for this role is $152,000-$180,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role:

Forge’s software engineering team is passionate about innovation and building scalable solutions that drive liquidity and growth in the private market. Our teams are leveraging a broad range of new technologies and are well-versed in delivering high quality, innovative solutions. We thrive on moving fast, delivering value, and living our values of being bold, humble, and accountable.

We are seeking passionate engineers with at least 8 years of experience delivering innovative software solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings, enjoys collaboration and mentoring engineers, and focuses on delivering value and making an impact. 

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities:

• Design, implement, and maintain web applications with marketplace middleware-specific business logic
• Communicate with stakeholders. Work with Architects, Tech Leads, Product, and Design members to arrive at solutions that produce customer and business value.
• Develop concise, articulate, and detailed technical documentation
• Leverage Agile and Lean practices
• Design, build, and maintain automated tests (unit and at times integration), ensuring high code quality
• Support healthy system operations and ensure high levels of availability are achieved

 Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or equivalent years of working experience in the field
• 4+ years of software engineering experience
• Expertise building APIs with C# and .NET
• Experience developing event-driven systems leveraging Kafka, RabbitMQ, or similar
• Experience with CQRS, Event Sourcing, or similar approaches
• Experience with SQL / Relational Databases
• Proven track-record of teamwork and delivery
• Fintech or Financial services industry experience with working knowledge of financial regulators and their concerns

Preferred Qualifications:  

• Experience with multiple server-side programming languages 
• Experience with Test Driven Development (TDD) or Domain Driven Development
• Experience with CI/CD pipelines and managing application deployments
  • Working knowledge of the private market

For residents of San Francisco, CA the annual salary range for this role is $169,000-$200,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As our Senior Data Engineer focusing on data engineering, you will play a crucial role delivering a high-quality data platform that is responsible for maintaining and delivering Forge data to internal and external clients as well as improving and maintaining internal user interfaces to interact with this data. You will implement new features, maintain existing features and perform code reviews, unit testing, and production deployments for our data platform using agile methodologies. Collaborating closely with Product, Design, and Engineering teams, you’ll ensure requirements are well defined, and changes are delivered in a timely manner. 

Location: This role requires 2-3 days a week in office in Soho, NY.

For residents of NY, NY the annual salary range for this role is $200,000-$230,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Role: 

As a Senior Data Engineer focused on data engineering, you will play a key role in delivering a high-quality data platform responsible for maintaining and delivering Forge data to internal and external clients. You will implement new features, maintain existing functionality, and perform code reviews, unit testing, and production deployments using Agile methodologies. You will collaborate closely with Product, Design, and Engineering teams to ensure requirements are well defined and delivered in a timely manner.

Location: This role requires 2-3 days a week in office in Soho, NY.

Responsibilities

• Collaborate with cross-functional teams to understand requirements and deliver high-quality software solutions
• Implement software solutions in line with provided estimates and requirements
• Stay current with the latest trends and technologies in data engineering and advocate for appropriate adoption

Qualifications

• 3–5+ years of development experience using object-oriented languages such as TypeScript, C#, or Java
• Experience with scripting languages such as Python for data-related tasks
• Familiarity with modern data architectures (e.g., Medallion Architecture, data lakes)
• Experience in Private Markets or Financial Services, specifically working with financial market data
• Proven experience setting up CI/CD pipelines, managing data orchestration, application deployments, and ensuring code quality
• Strong project management skills, with the ability to take features from planning through deployment, including hands-on backend and frontend development
• Proficiency in databases such as PostgreSQL and strong SQL skills
• Experience with cloud platforms such as AWS (or equivalent like Azure or GCP)
• Extensive experience with version control systems such as Git and platforms like GitHub
• Familiarity with Agile project management tools such as JIRA or similar tools

Preferred Qualifications

• Experience migrating systems from legacy architectures to modern tech stacks
• Knowledge of real-time data processing and event-driven architectures using technologies such as WebSockets or Kafka
• Experience leading offshore and nearshore engineering teams
• Experience using large language models and agentic workflows

For residents of New York, New York the annual salary range for this role is $110,000-$130,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

We want people who are passionate, high performing team players who can take new challenges and go the extra mile.

The Finance team oversees the company's financial well-being while supporting operational and business planning in a dynamic, fast-paced environment. We work hard to ensure growth is accurately projected and managed and that our financial results are properly accounted for. We provide financial analysis to determine key operational decisions within a rapidly growing organization. We only hire the best to these teams, and your work will have a huge impact on the future success of this rapidly growing company.

We are seeking a high-caliber finance professional to serve as a key architect of our corporate financial strategy. This role requires a unique blend of technical modeling mastery and strategic foresight, as you will directly own the company’s cash forecasting, equity dilution models, and long-range planning integration. The ideal candidate is a "three-statement expert" who thrives in a high-growth, fluid environment and possesses the analytical rigor to manage complex balance sheet and liquidity workstreams. You must be a proactive problem-solver, capable of translating intricate financial data into clear, actionable insights. Beyond maintaining the status quo, you will be a champion for scaling our FP&A processes and leveraging tools like Adaptive Insights to enhance the sophistication of our global finance function.

What You’ll Be Doing:

• Own the cash forecast during each monthly forecast cycle, including the annual planning cycle
• Maintain and evolve the WASO (Weighted Average Shares Outstanding) and EPS (Earnings per Share) model, including equity roll-forward schedules and dilution forecasting 
• Architect and update the Balance Sheet forecast, proactively monitoring leverage ratios and capital structure health
• Analyze interest expense trends and the impact of debt instruments on the overall P&L and cash position.
• Manage the Long-Range Planning (LRP) model, translating multi-year strategic initiatives into a cohesive financial outlook for various scenario analyses
• Act as the primary FP&A lead for Treasury support, providing data-driven insights for debt servicing, interest expense forecasting, and overall cash management.
• Support development of integrated modeling for CapEx and equipment lease forecasts in close collaboration with the COGS and Operations teams 
• Drive accountability for cash performance metrics, specifically owning the tracking and reporting of Adjusted FCF, Unlevered FCF, and Cash Generated metrics.
• Drive end-of-quarter Cash Flow analysis with Accounts Payable and Accounting to ensure accuracy, control over final pay runs, and weekly liquidity management. 
• Provide monthly, quarterly, and annual support for internal reporting and external earnings requirements related to equity, debt, and cash flow movements.
• Support the advancement of FP&A processes, Adaptive Insights planning system and related IT tools, and financial modeling to enhance the overall finance function
• Work closely with the accounting team to ensure timely and accurate financial closes on a monthly basis
• Prepare presentations and key reporting to the Board of Directors and Executive Team
• Develop business cases and analysis to inform and support business and financial decisions
• Collaborate cross functionally to understand the financial impact of, and help prioritize, new business initiatives and investments

What We’ll Expect From You:

• Strong analytical, financial modeling, and problem-solving skills with the ability to quickly grasp and apply analytical concepts
• 2-3 years of investment banking experience (Tier 1 banks preferred)
• Foundational knowledge of GAAP, specifically as it relates to Cash Flow Statement classification
• Demonstrated ability to consistently work within fixed timeframes and meet deadlines
• Proactive communicator with excellent verbal and written skills
• Maintain the highest standards of accuracy and precision; detail-oriented, highly-organized and resourceful
• Must have strong work ethic, team mentality, positive attitude, be highly-driven, self-motivated, have excellent business partnering skills and demonstrate internal stakeholder orientation
• Passion for technology and genuine desire to make meaningful contributions on a team with big aspirations
• Proactive, self-directed operator who demonstrates strong ownership mindset; comfortable working autonomously to drive initiatives and deliver results.
• Proficiency in Google Sheets and Microsoft Excel
• Bachelor’s degree required
• Final candidates will be required to complete a case study analysis during the final rounds.

Nice to have:

• Proficiency in, or an aptitude to learn, Adaptive Insights including building models and reports
• Experience in financial forecasting, planning and analysis and operational budget management, preferably in a business partner facing role
• Experience in other tools/programming languages (Looker, SQL, VBA, Netsuite, Oracle, etc.)
• MBA is a plus

Compensation Range: 

• $93,000 - $140,000

*This is a remote role

JR: 2026-7580

#LI-Remote

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

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

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

What You’ll Do:

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

What You’ll Add to DigitalOcean:

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

Bonus qualifications:

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

Compensation Range: 

• $166,400 - $208,000

*This is a remote role

#LI-Remote

We are building an AI-native Data Cloud and need a VP of Engineering who owns architecture, execution, and business outcomes end-to-end. The buck stops with this role for platform reliability, developer experience, and Data Cloud adoption.

DigitalOcean’s Data Cloud will power AI applications end-to-end—from data ingestion to real-time inference—enabling developers to build production-grade RAG systems, AI agents, and analytics workflows on a single, integrated platform. This role is responsible for delivering that platform by leveraging and extending DigitalOcean’s existing infrastructure, PaaS, and AI capabilities.

This is not a traditional data platform role. You will define and execute the strategy to move DigitalOcean up the stack—from infrastructure provider to a differentiated AI application and inference platform. Success will be measured through roadmap velocity, system reliability, developer adoption, and measurable business impact.

We are looking for a leader who translates strategy into shipped systems, with clear accountability for outcomes.

What You’ll Do:

Data Cloud Platform

Architecture and delivery of a unified platform spanning:

• Ingestion (connectors, CDC, streaming)
• Storage (object, OLAP, vector, graph)
• Processing (ELT pipelines, real-time and batch)
• Query & analytics (SQL, hybrid search, RAG)
• Governance (catalog, lineage, versioning, access control)

AI-Native Capabilities

• Knowledgebase-as-a-Service (RAG pipelines)
• Vector and hybrid retrieval systems
• Feature and embedding pipelines
• Real-time inference data paths

Product & Execution

• Deliver GA-grade services with strong SLAs, cost efficiency, and simplicity
• Drive roadmap aligned to Digital Native Enterprise (DNE) customers
• Establish and manage clear metrics: adoption, retention, ARPU, performance, reliability

Organizational Leadership

• Build and scale a high-performing global organization (US and India)
• Implement single-threaded ownership (STO) across services
• Partner deeply with Product, GTM, and Platform Engineering

What Success Looks Like (12 months)

• Launch a cohesive Data Cloud platform—not a collection of fragmented services
• Achieve meaningful adoption across AI-native workloads (RAG, inference, analytics)
• Reduce developer time-to-value from weeks to hours
• Establish clear differentiation versus hyperscalers on simplicity and cost

What You’ll Bring:

• Proven track record of building and operating cloud-scale data platforms (OLAP, lakehouse, streaming, or ML systems), with strong architectural judgment across storage, processing, and query layers
• Experience integrating open-source ecosystems (e.g., Spark, Airflow, dbt) into managed cloud services at scale
• Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
• Demonstrated ability to operate in ambiguity, make high-quality decisions with incomplete data, and drive multi-quarter execution with measurable outcomes
• Proven experience scaling engineering organizations and delivering under real-world constraints

Critical requirement:
You have personally driven complex distributed systems from concept to production—not just managed teams that did.

Why This Role Matters

The Data Cloud is the control plane for AI applications. If DigitalOcean gets this right, it becomes the platform where developers build and scale intelligent applications—not just where infrastructure runs. If not, it remains an interchangeable infrastructure.

Compensation Range: 

• $279,200.00 - $349,000

*This is a remote role

JR: 2026-7683

#LI-Remote

We are seeking a Senior Software Engineer (IC3) to join our Customer Trust & Engineering team working on Identity and Access Management. IAM is the bedrock of trust at DigitalOcean; our services sit in the critical path of every request, authorizing billions of transactions per second with single-digit millisecond latency.

In this role, you won't just maintain existing systems—you will architect the next generation of our Identity platform. You will be instrumental in supporting our AI initiatives, building seamless SSO integrations for global partners, and evolving our policy engine to support complex, agentic workflows. If you are passionate about distributed systems, security-first engineering, and building at hyperscale, this is the team for you.

What You’ll Do

• Architect for Scale: Design and develop high-availability, low-latency authentication and authorization services in Go that scale to handle massive load spikes across global regions.
• Drive Next-Gen Innovation: Build the IAM foundations for emerging cloud-native AI/ML platforms, designing secure token exchange patterns and identity context injection for agentic AI workflows.
• Modernize Identity: Lead the implementation of OIDC and SAML integrations, enabling seamless federated Single Sign-On (SSO) for enterprise customers and strategic global partners.
• Solve Complex AuthZ: Evolve our Policy Engine (using industry standards like Rego/OPA) to support advanced resource-level permissions, dynamic scoping, and network-aware access conditions.
• Evolve Identity Models: Design and scale robust, multi-tenant data models to manage complex hierarchical structures (users, teams, organizations, and resource boundaries) that map to enterprise customer needs.
• Operational Excellence: Take ownership of service reliability, from fine-tuning Kubernetes deployments to migrating legacy data pipelines to modern eventing architectures.
• Security First: Proactively identify and remediate complex security vulnerabilities, ensuring our auth flows are resilient against credential stuffing, session hijacking, and configuration theft.
• Mentor & Lead: Act as a technical lead for major workstreams, conducting deep code reviews and mentoring junior engineers in distributed systems best practices.

What You’ll Add to DigitalOcean

• Experience: 5+ years of software engineering experience, with at least 2+ years focused on Identity (AuthN/AuthZ), Security Products, or high-scale Distributed Systems.
• Language Expert: Expert-level proficiency in Go and a strong understanding of gRPC microservices architecture.
• Identity Specialist: Deep knowledge of identity protocols (OIDC, OAuth2, SAML) and access control models (RBAC, ABAC, PBAC).
• Distributed Systems Guru: Proven ability to build systems that handle consensus, replication, and partitioning at cloud scale.
• Cloud Native: Working experience with container orchestration (Kubernetes), SQL (MySQL), and Infrastructure as Code (Terraform).
• Problem Solver: A track record of "unwinding" complex legacy logic into clean, maintainable abstractions.
• Communication: Ability to communicate technical strategy to senior leadership and collaborate across teams (Inference, Billing, DOKS).

Nice to Have

• Experience with Open Policy Agent (OPA) and Rego.
• Familiarity with Cloud-native deployment strategies (Canary/Blue-Green) via kubernetes.

Compensation Range: 

• $140,800 - $176,000

*This is a remote role

JR: 2026-7665

#LI-Remote

We want people who are passionate about building meaningful, long-term relationships with our customers that help grow and scale business in the cloud.

Our Technical Account Manager team’s mission is to partner with our most critical business customers, helping them achieve desired outcomes through optimal use of the cloud platform aligned to their business strategy. Technical Account Management is an integral part of our company. They are passionate about building meaningful, long-term relationships with our customers and are experts in cloud technology and the digital economy. As the voice of the customer, you have the opportunity to influence decisions that will greatly improve user experience and contribute to DigitalOcean’s long-term success.

This is a unique and exciting opportunity for someone who is passionate about advising companies as they scale. This multifaceted role combines the responsibilities of a Technical Account Manager with leadership, technical, and strategic elements, making it a crucial position within our organization.

As a Senior Technical Account Manager at DigitalOcean, you are a strategic partner for our key business customers, ensuring they receive the guidance, support, and resources needed to succeed. You will leverage your technical knowledge and customer advocacy skills to retain and grow our customers' deployments on DigitalOcean, helping them solve complex challenges and maximize the value of their cloud infrastructure.

What You Will Be Doing:

• Technical Consultation & Architecture Design:
• Develop and maintain deep expertise in the DigitalOcean product portfolio and the evolving cloud ecosystem.
• Help design, diagram, and plan infrastructure architectures tailored to customer use cases, explaining solutions clearly to both technical and non-technical stakeholders.
• Conduct regular technical consultation sessions and workshops, enabling customers to be self-sufficient in managing their cloud environments.
• Maintain knowledge of cloud infrastructure best practices and recent technologies through the regular attainment and maintenance of important cloud technology certifications and coursework.
• Proactive Customer Engagement & Growth:
• Manage and maintain DigitalOcean’s key accounts 
• Partner closely with customers to drive engagement, retention, and expansion of their DigitalOcean workloads.
• Conduct QBRs with key accounts, assessing their progress, understanding their evolving needs, and aligning on strategies for future growth.
• Identify opportunities for cost reduction and performance optimization, guiding customers to make data-driven decisions that maximize their cloud investments.
• Collaborate with internal teams, such as Engineering, Marketing, and Account Managers, to align customer needs with DigitalOcean’s strategic goals.
• Proactively monitor customer usage trends, identify potential risks, and uncover new opportunities for growth and adoption.
• Advocacy & Cross-Functional Collaboration:
• Act as the voice of the customer within DigitalOcean, ensuring their needs are represented in product development and support processes.
• Liaise with Engineering and Support teams to resolve escalations and technical challenges quickly, ensuring smooth customer experiences.
• Deliver compelling presentations to articulate the benefits and functionality of DigitalOcean’s offerings to customers.
• Contribute to internal and external technical documentation, and provide training for DigitalOcean’s teams and partners to ensure knowledge transfer.
• Tooling & Efficiency:
• Develop tools and scripts to streamline DigitalOcean’s technical engagements, improving the efficiency of the Technical Account Management functions.
• Stay current with industry trends and best practices to continuously enhance DigitalOcean's customer engagement strategies.

What We’ll Expect From You:

• Technical Expertise:
• Proven experience in cloud infrastructure and deep knowledge of Linux, distributed systems, and automation.
• Programming or development experience, with basic skills in at least one mainstream language (e.g., Python, Go).
• Understanding of provisioning and deployment strategies, with knowledge of tools like Terraform, Ansible, and Docker.
• Proficiency with at least one major cloud platform (AWS, Google Cloud Platform, or Azure).
• Proven track record of successfully troubleshooting technical problems. 
• Familiarity with version control (e.g., Git), SQL and basic database administration, CI/CD tools, and AI/ML infrastructure principles.
• Customer-Centric Approach:
• Passionate about delivering exceptional customer experiences, with a history of building successful technical solutions that align with business goals.
• Ability to manage multiple stakeholders, prioritize effectively, and set clear expectations.
• Strong analytical skills to monitor customer trends and identify opportunities for improvement and growth.
• Experience advocating for customer needs and translating feedback into actionable insights.
• Communication Skills:
• Strong verbal and written communication skills, capable of translating complex technical concepts for varied audiences.
• Ability to create and deliver technical presentations and training sessions that resonate with customer needs.
• Adaptability & Initiative:
• Self-starter with a passion for technology and open-source projects, eager to learn new tools and systems.
• Quick to adapt to changes in the cloud ecosystem, always looking for ways to improve customer engagement and technical solutions.
• Extra credit for experience in (Technical) Customer Success, Solutions Engineering, or Technical Account Management roles, particularly within fast-paced startup environments.

Extra Credit:

• Cloud certifications (AWS/GCP/Oracle/Azure) and NVIDIA certifications for GPU and AI/ML.
• Experience with networking (Cisco/Juniper), automation tools (Terraform, Ansible), virtualization (KVM, Xen), and databases (e.g., MongoDB, MySQL).
• Familiarity with open-source technologies, such as Docker, Kubernetes (CKA/CKE), and DigitalOcean’s API.
• Linux certifications (e.g., RHCSA/RHCE) 
• Experience working with large CRMs like Gainsight and Salesforce

Compensation Range: 

• $142,000 - 176,000

*This is a remote role

JR: 4290

#LI-Remote

Position Summary

The Pharmacy Value Programs Senior Project Manager will lead the development, execution, and continuous improvement of innovative pharmacy benefit cost‑savings programs across all lines of business, including Commercial, Exchange, Medicare, and Medicaid. In this highly cross‑functional role, the Program Manager partners closely with internal teams, external vendors, and pharmacy partners to design and implement strategic initiatives—from specialty pharmacy partnerships to benefit design optimization and manufacturer‑direct solutions—that reduce overall drug spend while maintaining or enhancing member experience. This role is responsible for maintaining detailed implementation plans, operational workflows, and training materials while ensuring program quality and compliance through structured audits and documentation. The Project Manager also collaborates with Analytics to produce opportunity assessments and savings reporting, and supports the commercialization of new offerings through pricing, marketing enablement, and RFI/RFP contributions. The ideal candidate brings deep experience in healthcare cost management, strong analytical capabilities, exceptional communication skills, and a strategic mindset with the ability to identify inefficiencies and drive long‑term product and process improvements in a fast‑paced environment.

Position Responsibilities:

• Program Development & Management: Collaborate with key stakeholders to develop and maintain new and existing drug cost containment programs for all lines of business (Commercial, Exchange, Medicare, and Medicaid). Programs include, but are not limited to, partnerships with innovative mail & specialty pharmacies, benefit design optimization, and integration with manufacturer direct offerings.
• Program Planning and Execution: Engage with appropriate stakeholders and cross-functional teams to ensure successful implementation and execution of programs.
• Program Maintenance: Regularly update and maintain comprehensive implementation plans, workflow guides, trainings, and other documentation.
• Quality Assurance: Implement quality control processes to ensure program compliance with established standards and guidelines. Conduct and document audits and work with appropriate stakeholders to implement corrective actions as needed.
• Vendor management: Own relationships with and provide oversight of third-party vendors (including pharmacies) to administer programs with emphasis on member experience and cost savings.
• Data Analytics & Reporting: Use reporting tools and partner with our Analytics team to develop and maintain opportunity analyses and ongoing savings performance reporting.
• Commercialization: Support the go-to-market strategy of savings product offerings including pricing, marketing, and implementation. Support RFI and RFP submissions.
• Continuous quality improvement: Evaluate evolving industry and market landscape and analyze prescription claims data to identify opportunities for improving existing products and developing new products. Supports quality improvement programs/projects as required. 

Required Qualifications:

• Bachelor’s Degree required
• 4+ years of experience applicable to health care cost management, such as in a health plan, PBM, value-based care, or managed care environment; consulting, advising, or tech enablement focused on the preceding areas also considered applicable
• Ability to balance multiple complex projects simultaneously with minimal direction
• Great time-management and organizational skills to manage multiple active projects simultaneously
• Exceptional written, verbal, and presentation skills
• Experience working with data reporting tools, conducting data analyses, and effectively consuming/interpreting data reports and visualizations

Preferred Qualifications:

• Master’s Degree in relevant field (PharmD, MBA, MHA/MHP, etc.)
• Experience with prescription drug channels and payment workflows (pharmacy reimbursement, rebate administration and GPO relations, regulatory requirements, etc.)
• Experience with health insurance or health benefits administration (pharmacy benefits in particular)
• Strong experience in developing, implementing, and using data and workflow management technology solutions (e.g., customer relationship management (CRM), Jira/Salesforce, collaborative Excel workbooks in SharePoint, etc.)
• Experience with programming languages relevant to data analytics, such as SQL or Python
• Proficient in Microsoft Office Suite with emphasis on Microsoft Excel and PowerPoint
• Ability to think strategically and identify inefficiencies, develop long-term solutions, and challenge and improve existing processes through automation and redesign
• Highly detail-oriented and analytical
• Ability to travel occasionally as needed for internal, client, and vendor/partner meetings

Position Summary

The Market Access Programs Senior Project Manager will lead the development, execution, and continuous improvement of innovative market access programs across all lines of business, including Commercial, Exchange, Medicare, and Medicaid. In this highly cross‑functional role, the Program Manager partners closely with internal teams, external vendors, and pharmacy partners to design and implement strategic initiatives—from specialty pharmacy partnerships to manufacturer‑direct solutions—that enhance member experience and reduce overall drug spend. This role is responsible for maintaining detailed implementation plans, operational workflows, and training materials while ensuring program quality and compliance through structured audits and documentation. The Project Manager also collaborates with Analytics to produce opportunity assessments and savings reporting, and supports the commercialization of new offerings through pricing, marketing enablement, and RFI/RFP contributions. The ideal candidate brings deep experience in healthcare cost management, strong analytical capabilities, exceptional communication skills, and a strategic mindset with the ability to identify inefficiencies and drive long‑term product and process improvements in a fast‑paced environment.

Position Responsibilities:

• Program Development & Management: Collaborate with key stakeholders to develop and maintain new and existing market access programs for all relevant lines of business. Programs include, but are not limited to, innovative pharmacy network configurations and partnerships with supply chain stakeholders.
• Program Planning and Execution: Engage with appropriate stakeholders and cross-functional teams to ensure successful implementation and execution of programs.
• Program Maintenance: Regularly update and maintain comprehensive implementation plans, workflow guides, trainings, rules sets, and other documentation as relevant and required.
• Quality Assurance: Implement quality control processes to ensure program compliance with established standards and guidelines. Conduct and document audits and work with appropriate stakeholders to implement corrective actions as needed.
• Vendor management: Own relationship with and provide oversight of third-party vendors and/or partners (pharmacy providers or manufacturers) to administer programs with emphasis on member experience and value capture for clients.
• Data Analytics & Reporting: Use reporting tools and partner with our Analytics team to develop and maintain opportunity analyses and ongoing savings performance reporting.
• Commercialization: Support the go-to-market strategy of program offerings including pricing, marketing, and implementation. Support RFI and RFP submissions.
• Continuous quality improvement: Evaluate evolving industry and market landscape and analyze prescription claims data to identify opportunities for improving existing programs and developing new programs and/or partnerships. Supports quality improvement programs/projects as required. 

Required Qualifications:

• Bachelor’s Degree required
• 4+ years of experience applicable to health care,, such as in a health plan, PBM, pharmacy, manufacturer, value-based care, or managed care environment; consulting, advising, or tech enablement focused on the preceding areas also considered applicable
• Ability to balance multiple complex projects simultaneously with minimal direction
• Great time-management and organizational skills to manage multiple active projects simultaneously
• Exceptional written, verbal, and presentation skills
• Experience working with data reporting tools, conducting data analyses, and effectively consuming/interpreting data reports and visualizations

Preferred Qualifications:

• Master’s Degree in relevant field (PharmD, MBA, MHA/MHP, etc.)
• Experience with prescription drug channels and payment workflows (pharmacy reimbursement, rebate administration and GPO relations, regulatory requirements, etc.)
• Experience with health insurance or health benefits administration (pharmacy benefits in particular)
• Strong experience in developing, implementing, and using data and workflow management technology solutions (e.g., customer relationship management (CRM), Jira/Salesforce, collaborative Excel workbooks in SharePoint, etc.)
• Experience with programming languages relevant to data analytics, such as SQL or Python
• Proficient in Microsoft Office Suite with emphasis on Microsoft Excel and PowerPoint
• Ability to think strategically and identify inefficiencies, develop long-term solutions, and challenge and improve existing processes through automation and redesign
• Highly detail-oriented and analytical
• Ability to travel occasionally as needed for internal, client, and vendor/partner meetings

Your role
The Revenue Operations Manager – Post Sales owns the operational mechanics of Dialpad’s recurring revenue engine.

This role is accountable for:

• Gross Revenue Retention (GRR)
• Net Revenue Retention (NRR)
• Renewals forecast accuracy
• Expansion pipeline governance
• Customer Success & Renewals operating cadence
• Land → Expand → Adopt → Renew journey integrity
• Product interlocks & operationalization of new product introductions within the installed base

This is a revenue ownership role—not a reporting function or a CS business partner role.

This position reports to our Director of Business Operations and has the opportunity to be based in our Austin or Tempe offices.

What you’ll do

• Own operational governance of Gross and Net Revenue Retention.
• Monitor churn, contraction, and expansion drivers.
• Identify structural gaps impacting retention.
• Establish leading indicators for revenue risk.
• Provide executive-level visibility into recurring revenue health.
• Own renewal forecasting methodology and discipline.
• Validate renewal commitments and risk assessments.
• Improve renewal forecast accuracy across segments.
• Establish a structured renewal inspection cadence.
• Design and run operational forums for CS and Renewals.
• Standardize inspection standards across segments.
• Align expansion governance with sales forecasting rigor.
• Ensure consistent pipeline hygiene within post-sales motions.
• Own expansion opportunity visibility and stage discipline.
• Monitor cross-sell/upsell pipeline health.
• Identify leakage within installed accounts.
• Align expansion inspection standards with new logo practices.
• Define and govern operational handoffs across lifecycle stages.
• Ensure adoption signals are visible and measurable.
• Identify friction points in the customer journey.
• Partner cross-functionally to improve retention mechanics.
• Serve as RevOps lead for new product rollouts within the installed base.
• Ensure expansion, attach visibility, and adoption tracking.
• Monitor product adoption metrics impacting retention.
• Provide feedback loops to Product on customer behavior trends.

Skills you’ll bring

• 6–8+ years in Revenue Operations, CS Operations, or Post-Sales Strategy.
• Experience supporting subscription SaaS retention motions.
• Deep understanding of renewal forecasting and expansion mechanics.
• Strong analytical capability and structured thinking.
• Comfortable influencing CS and executive leadership.
• Ability to operate in high-growth, cross-functional environments.
• Experience with Customer Success platforms (Planhat preferred; Gainsight, Totango, or ChurnZero acceptable).
• Strong understanding of renewal forecasting and GRR/NRR modeling.
• Advanced Excel / Sheets modeling skills; SQL proficiency preferred.
• Deep familiarity with Salesforce opportunity and account data structures.
• Experience integrating CS platforms with CRM systems.
• Ability to translate product usage data into retention insights.
• Strong BI and data visualization experience.

Your role
As a Technical Account Manager (TAM), you will work cross-functionally to support Dialpad’s largest and most complex users. Through trusted relationships, you’ll offer customized, strategic consultations and proactively identify opportunities to help businesses deliver more value to their customers, optimize technical operations within their teams, and accelerate their global growth with Dialpad.

The Customer Experience (CX) Organization is designed to delight customers at every touchpoint. We are dedicated to understanding and meeting the evolving needs and expectations of our customers. We are committed to working collaboratively to deliver seamless and memorable interactions.

This position reports to our Director of Advanced Support Services. The preferred schedule will be based on US business hours but will be flexible depending on the business's needs.

What you’ll do 

• Provide a gold-standard experience for the key stakeholders of your assigned accounts. 
• Work with the wider Operations team to provide the current state, resources, and knowledge to enable a gold-standard experience across teams that interact directly with the user via support channels, external documentation, or product/feature feedback or development. 
• Foster long-term user relationships that grow loyalty to Dialpad and Dialpad products. 
• Work cross-functionally, both internally and within your users’ organizations, to provide and implement operational solutions as needed for various audiences. 
• Contribute to enhancing support offerings and developing user-facing content.
• Act as a trusted advisor, ensuring alignment with customer priorities and Dialpad’s objectives.
• Maintain strategic relationships across client business units to drive service excellence.
• Serve as a subject matter expert in Dialpad solutions deployed at client sites.
• Facilitate the resolution of critical issues and escalations.
• Work closely with Account Management and other user-facing teams as part of a larger effort to support Dialpad users. 
• Lead user-facing meetings both in person (if requested) and through video.
• Collaborate on the continued design of this support offering.
• Create user-facing content for long-term solutions. 

Skills you’ll bring 

• 5+ years of experience in enterprise-level client-facing work.
• Strong product sense and energized by the challenge of solving difficult user-related problems.
• Strong written and verbal communication skills with the ability to communicate with various levels of expertise.
• Ability to lead complex integration conversations in a highly consultative and proactive manner.
• Familiarity with APIs and the ability to explain API concepts to Dialpad’s largest and most technical customers.
• Familiarity with SQL and comfort in building basic queries and modifying more complex ones.
• Strong technical troubleshooting skills and experience interfacing with technical teams.
• Adept client relationship management skills.
• Ability to engage in business-level and technical conversations at multiple levels of the organization.
• Ability to work with minimal guidance or supervision in a time-critical environment. 
• Ability to be flexible and quickly adapt to changing business needs and processes. 
• Strong ability to use facts and data to influence decisions to prioritize and make appropriate decisions. 
• Ability to source information when it does not exist.

Compliance is critical to Klaviyo’s success. Our mission is to provide a reliable sending platform for customers by serving as an integral part of Klaviyo’s abuse prevention, detection, and response ecosystem. We balance risk mitigation with customer experience through proactive abuse detection and policy adherence with an educational mindset. The Compliance Operations Analyst plays a key role in reducing risk of abuse on the Klaviyo platform while enabling an optimal customer experience.

In this role, you’ll monitor and investigate compliance operations and abuse issues, partner with industry players and vendors, and work cross-functionally with R&D, Deliverability, and Customer teams to improve long-term outcomes across Klaviyo’s sending footprint.

Ideal candidates are deeply curious, data-driven, and excited to contribute to systems that scale. You thrive in ambiguous environments and know how to balance short-term incident response with long-term process improvement.

How You'll Make a Difference:

Monitoring & Incident Response

• Monitor anti-abuse signals, logs, and alerts to identify likely abuse and separate it from normal behavior; recommend mitigations within established guardrails.
• Investigate and address compliance and deliverability-impacting abuse events, engaging and escalating for timely response and mitigation.
• Perform customer-impacting incident triage to determine scope, urgency, and potential impact; document timelines, key facts, and execute assigned tasks with high follow-through.
• Generate and review reporting related to threat alerts and user log behavior (e.g., unwanted mail rate, time to detection, response time).

Systems & Signal Ownership

• Monitor the health of assigned signals (noise levels, failure modes) and raise issues when behavior deviates from expectations.
• Partner with Engineering and Security to test and implement signal tuning; develop in-depth knowledge of Klaviyo’s sending infrastructure and compliance policies.

Process & Operational Improvement

• Follow standard compliance workflows reliably; flag recurring pain points, failure modes, and opportunities for incremental improvement (e.g., playbook updates, dashboard filters, macro refinements).
• Enhance techniques, workflows, and tools to drive compliance team operations and support strategic growth.
• Contribute to cross-functional projects and initiatives, representing the operational voice of compliance in incident response and program design.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Cross-Functional Collaboration & Ecosystem Engagement

• Collaborate with R&D, Deliverability, Security, Customer Success, Support, and Sales; share clear summaries, route work to the right partners, and keep stakeholders informed.
• Coordinate with external vendors (e.g., Sift, aggregators, inbox providers) on day-to-day issues using established channels; document outcomes and surface recurring patterns to senior owners.
• Represent Klaviyo in the anti-abuse community by participating in conferences, forums, and mailing lists (e.g., M3AAWG).
• Stay current on industry trends and emerging threats; bring insights back to influence Klaviyo’s infrastructure strategy.

Knowledge Sharing & Team Contribution

• Write clear case notes, runbook steps, and dashboard annotations; contribute to internal guides and training content.
• Share observations from alerts and incidents with Specialists and peers; participate actively in team reviews and standups.
• Drive knowledge-sharing through documentation, cross-functional training, and thought leadership (e.g., blogs, whitepapers, internal guides).

Who You Are

• Thoughtful communicator—skilled at explaining technical processes clearly in both written and verbal channels, including to non-technical audiences.
• Self-motivated and curious—eager to dive deep into data and infrastructure to understand and solve root causes.
• Calm under pressure—with a track record of navigating fast-paced, ambiguous environments with changing priorities.
• Structured problem-solver—known for technical investigation skills and a logical approach to triage and resolution.
• Process-oriented—constantly thinking about how to improve, automate, or streamline repetitive work.
• Collaborative by nature—thriving on cross-functional partnerships and comfortable engaging directly with customers, internal stakeholders, and technical vendors.
• Growth-oriented—actively seeks feedback, practices new tools and techniques, and applies lessons learned to subsequent work.

Required

• 3+ years in a technical SaaS company, anti-abuse, trust & safety, or compliance operations role—preferably at an ESP or high-volume marketing communications provider.
• Data analysis proficiency—comfortable working with infrastructure-level and behavioral data (e.g., unwanted mail rates, time-to-detection, log behavior); able to pull and review dashboards, spot anomalies, and summarize findings into clear observations and recommendations. SQL or equivalent query experience is strongly preferred.
• AI fluency—understands how AI and automation are used in detection systems and operational workflows; comfortable using approved AI tools (e.g., LLMs, AI-assisted log analysis) to accelerate investigation, summarize incidents, or draft communications, while maintaining human judgment in the loop.
• Anti-abuse and fraud prevention tools—proven experience with platforms such as Sift, Stripe Radar, eHawk, or similar.
• Strong understanding of fraud and abuse landscapes, security protocols, and messaging compliance (email, SMS, privacy standards, and global regulations).
• Monitoring & alerting systems—familiarity with log analysis, signal monitoring, or SIEM-style tools (e.g., Splunk, Datadog, or equivalent); able to read and interpret system logs and alert outputs.
• Familiarity with APIs, email and text message marketing platforms, and e-commerce ecosystems.
• Proficiency with Google Workspace, Zendesk (or equivalent case management), Salesforce, and ticketing systems.
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Bonus

• Presence or active participation in anti-abuse industry groups (M3AAWG, etc.).
• Experience with SMS/MMS technologies, technical writing, training, or web development.
• Python, pandas, or BI tool experience (e.g., Looker, Tableau) for deeper data analysis.
• Familiarity with workflow automation tools (e.g., Zapier, internal scripting) for building repeatable, scalable processes.

Compliance is critical to Klaviyo’s success. Our mission is to provide a reliable sending platform for customers by serving as an integral part of Klaviyo’s abuse prevention, detection, and response ecosystem. We balance risk mitigation with customer experience through proactive abuse detection and policy adherence with an educational mindset. The Compliance Operations Analyst plays a key role in reducing risk of abuse on the Klaviyo platform while enabling an optimal customer experience.

In this role, you’ll monitor and investigate compliance operations and abuse issues, partner with industry players and vendors, and work cross-functionally with R&D, Deliverability, and Customer teams to improve long-term outcomes across Klaviyo’s sending footprint.

Ideal candidates are deeply curious, data-driven, and excited to contribute to systems that scale. You thrive in ambiguous environments and know how to balance short-term incident response with long-term process improvement.

How You'll Make a Difference:

Monitoring & Incident Response

• Monitor anti-abuse signals, logs, and alerts to identify likely abuse and separate it from normal behavior; recommend mitigations within established guardrails.
• Investigate and address compliance and deliverability-impacting abuse events, engaging and escalating for timely response and mitigation.
• Perform customer-impacting incident triage to determine scope, urgency, and potential impact; document timelines, key facts, and execute assigned tasks with high follow-through.
• Generate and review reporting related to threat alerts and user log behavior (e.g., unwanted mail rate, time to detection, response time).

Systems & Signal Ownership

• Monitor the health of assigned signals (noise levels, failure modes) and raise issues when behavior deviates from expectations.
• Partner with Engineering and Security to test and implement signal tuning; develop in-depth knowledge of Klaviyo’s sending infrastructure and compliance policies.

Process & Operational Improvement

• Follow standard compliance workflows reliably; flag recurring pain points, failure modes, and opportunities for incremental improvement (e.g., playbook updates, dashboard filters, macro refinements).
• Enhance techniques, workflows, and tools to drive compliance team operations and support strategic growth.
• Contribute to cross-functional projects and initiatives, representing the operational voice of compliance in incident response and program design.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Cross-Functional Collaboration & Ecosystem Engagement

• Collaborate with R&D, Deliverability, Security, Customer Success, Support, and Sales; share clear summaries, route work to the right partners, and keep stakeholders informed.
• Coordinate with external vendors (e.g., Sift, aggregators, inbox providers) on day-to-day issues using established channels; document outcomes and surface recurring patterns to senior owners.
• Represent Klaviyo in the anti-abuse community by participating in conferences, forums, and mailing lists (e.g., M3AAWG).
• Stay current on industry trends and emerging threats; bring insights back to influence Klaviyo’s infrastructure strategy.

Knowledge Sharing & Team Contribution

• Write clear case notes, runbook steps, and dashboard annotations; contribute to internal guides and training content.
• Share observations from alerts and incidents with Specialists and peers; participate actively in team reviews and standups.
• Drive knowledge-sharing through documentation, cross-functional training, and thought leadership (e.g., blogs, whitepapers, internal guides).

Who You Are

• Thoughtful communicator—skilled at explaining technical processes clearly in both written and verbal channels, including to non-technical audiences.
• Self-motivated and curious—eager to dive deep into data and infrastructure to understand and solve root causes.
• Calm under pressure—with a track record of navigating fast-paced, ambiguous environments with changing priorities.
• Structured problem-solver—known for technical investigation skills and a logical approach to triage and resolution.
• Process-oriented—constantly thinking about how to improve, automate, or streamline repetitive work.
• Collaborative by nature—thriving on cross-functional partnerships and comfortable engaging directly with customers, internal stakeholders, and technical vendors.
• Growth-oriented—actively seeks feedback, practices new tools and techniques, and applies lessons learned to subsequent work.

Required

• 3+ years in a technical SaaS company, anti-abuse, trust & safety, or compliance operations role—preferably at an ESP or high-volume marketing communications provider.
• Data analysis proficiency—comfortable working with infrastructure-level and behavioral data (e.g., unwanted mail rates, time-to-detection, log behavior); able to pull and review dashboards, spot anomalies, and summarize findings into clear observations and recommendations. SQL or equivalent query experience is strongly preferred.
• AI fluency—understands how AI and automation are used in detection systems and operational workflows; comfortable using approved AI tools (e.g., LLMs, AI-assisted log analysis) to accelerate investigation, summarize incidents, or draft communications, while maintaining human judgment in the loop.
• Anti-abuse and fraud prevention tools—proven experience with platforms such as Sift, Stripe Radar, eHawk, or similar.
• Strong understanding of fraud and abuse landscapes, security protocols, and messaging compliance (email, SMS, privacy standards, and global regulations).
• Monitoring & alerting systems—familiarity with log analysis, signal monitoring, or SIEM-style tools (e.g., Splunk, Datadog, or equivalent); able to read and interpret system logs and alert outputs.
• Familiarity with APIs, email and text message marketing platforms, and e-commerce ecosystems.
• Proficiency with Google Workspace, Zendesk (or equivalent case management), Salesforce, and ticketing systems.
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Bonus

• Presence or active participation in anti-abuse industry groups (M3AAWG, etc.).
• Experience with SMS/MMS technologies, technical writing, training, or web development.
• Python, pandas, or BI tool experience (e.g., Looker, Tableau) for deeper data analysis.
• Familiarity with workflow automation tools (e.g., Zapier, internal scripting) for building repeatable, scalable processes.

Compliance is critical to Klaviyo’s success. Our mission is to provide a reliable sending platform for customers by serving as an integral part of Klaviyo’s abuse prevention, detection, and response ecosystem. We balance risk mitigation with customer experience through proactive abuse detection and policy adherence with an educational mindset. The Compliance Operations Analyst plays a key role in reducing risk of abuse on the Klaviyo platform while enabling an optimal customer experience.

In this role, you’ll monitor and investigate compliance operations and abuse issues, partner with industry players and vendors, and work cross-functionally with R&D, Deliverability, and Customer teams to improve long-term outcomes across Klaviyo’s sending footprint.

Ideal candidates are deeply curious, data-driven, and excited to contribute to systems that scale. You thrive in ambiguous environments and know how to balance short-term incident response with long-term process improvement.

How You'll Make a Difference:

Monitoring & Incident Response

• Monitor anti-abuse signals, logs, and alerts to identify likely abuse and separate it from normal behavior; recommend mitigations within established guardrails.
• Investigate and address compliance and deliverability-impacting abuse events, engaging and escalating for timely response and mitigation.
• Perform customer-impacting incident triage to determine scope, urgency, and potential impact; document timelines, key facts, and execute assigned tasks with high follow-through.
• Generate and review reporting related to threat alerts and user log behavior (e.g., unwanted mail rate, time to detection, response time).

Systems & Signal Ownership

• Monitor the health of assigned signals (noise levels, failure modes) and raise issues when behavior deviates from expectations.
• Partner with Engineering and Security to test and implement signal tuning; develop in-depth knowledge of Klaviyo’s sending infrastructure and compliance policies.

Process & Operational Improvement

• Follow standard compliance workflows reliably; flag recurring pain points, failure modes, and opportunities for incremental improvement (e.g., playbook updates, dashboard filters, macro refinements).
• Enhance techniques, workflows, and tools to drive compliance team operations and support strategic growth.
• Contribute to cross-functional projects and initiatives, representing the operational voice of compliance in incident response and program design.
• Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.

Cross-Functional Collaboration & Ecosystem Engagement

• Collaborate with R&D, Deliverability, Security, Customer Success, Support, and Sales; share clear summaries, route work to the right partners, and keep stakeholders informed.
• Coordinate with external vendors (e.g., Sift, aggregators, inbox providers) on day-to-day issues using established channels; document outcomes and surface recurring patterns to senior owners.
• Represent Klaviyo in the anti-abuse community by participating in conferences, forums, and mailing lists (e.g., M3AAWG).
• Stay current on industry trends and emerging threats; bring insights back to influence Klaviyo’s infrastructure strategy.

Knowledge Sharing & Team Contribution

• Write clear case notes, runbook steps, and dashboard annotations; contribute to internal guides and training content.
• Share observations from alerts and incidents with Specialists and peers; participate actively in team reviews and standups.
• Drive knowledge-sharing through documentation, cross-functional training, and thought leadership (e.g., blogs, whitepapers, internal guides).

Who You Are

• Thoughtful communicator—skilled at explaining technical processes clearly in both written and verbal channels, including to non-technical audiences.
• Self-motivated and curious—eager to dive deep into data and infrastructure to understand and solve root causes.
• Calm under pressure—with a track record of navigating fast-paced, ambiguous environments with changing priorities.
• Structured problem-solver—known for technical investigation skills and a logical approach to triage and resolution.
• Process-oriented—constantly thinking about how to improve, automate, or streamline repetitive work.
• Collaborative by nature—thriving on cross-functional partnerships and comfortable engaging directly with customers, internal stakeholders, and technical vendors.
• Growth-oriented—actively seeks feedback, practices new tools and techniques, and applies lessons learned to subsequent work.

Required

• 3+ years in a technical SaaS company, anti-abuse, trust & safety, or compliance operations role—preferably at an ESP or high-volume marketing communications provider.
• Data analysis proficiency—comfortable working with infrastructure-level and behavioral data (e.g., unwanted mail rates, time-to-detection, log behavior); able to pull and review dashboards, spot anomalies, and summarize findings into clear observations and recommendations. SQL or equivalent query experience is strongly preferred.
• AI fluency—understands how AI and automation are used in detection systems and operational workflows; comfortable using approved AI tools (e.g., LLMs, AI-assisted log analysis) to accelerate investigation, summarize incidents, or draft communications, while maintaining human judgment in the loop.
• Anti-abuse and fraud prevention tools—proven experience with platforms such as Sift, Stripe Radar, eHawk, or similar.
• Strong understanding of fraud and abuse landscapes, security protocols, and messaging compliance (email, SMS, privacy standards, and global regulations).
• Monitoring & alerting systems—familiarity with log analysis, signal monitoring, or SIEM-style tools (e.g., Splunk, Datadog, or equivalent); able to read and interpret system logs and alert outputs.
• Familiarity with APIs, email and text message marketing platforms, and e-commerce ecosystems.
• Proficiency with Google Workspace, Zendesk (or equivalent case management), Salesforce, and ticketing systems.
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Bonus

• Presence or active participation in anti-abuse industry groups (M3AAWG, etc.).
• Experience with SMS/MMS technologies, technical writing, training, or web development.
• Python, pandas, or BI tool experience (e.g., Looker, Tableau) for deeper data analysis.
• Familiarity with workflow automation tools (e.g., Zapier, internal scripting) for building repeatable, scalable processes.

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.