What We're Looking For

Lightning AI is seeking a Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads. You will work at the intersection of software, hardware, and operations—developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.

You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads. You’ll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Storage Systems & Infrastructure

• Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
• Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
• Troubleshoot complex storage and data path issues across hardware and software layers
• Optimize storage performance to support high-throughput, low-latency AI training and inference workloads

Automation & Tooling

• Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
• Develop Python-based tools and workflows to reduce manual operational overhead
• Improve lifecycle management of storage clusters, from deployment through maintenance and scaling

Systems & Operations

• Manage and operate Linux-based systems in production, including bare-metal environments
• Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
• Support capacity planning, utilization tracking, and forecasting for storage systems
• Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability

Cross-Functional Collaboration

• Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
• Contribute to design discussions around new infrastructure deployments and scaling strategies
• Help define best practices for operating storage systems in high-performance computing environments

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
• Strong Linux systems experience in production environments
• Proficiency in Python or similar scripting/programming languages for automation
• Experience working with bare-metal infrastructure and hardware-oriented systems
• Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
• Experience with storage networking protocols (e.g., NFS or similar)
• Experience with capacity planning, monitoring, and performance tuning

Ideal Experience

• Experience with VAST storage systems in production environments
• Experience operating S3-compatible object storage at scale
• Data center operations experience, including working with physical hardware
• Familiarity with AI/ML or HPC workloads and their storage requirements
• Background in high-performance or low-latency distributed systems
• Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage)
• Experience supporting GPU-based workloads or large-scale compute clusters

Compensation

What We’re Looking For

Lightning AI is seeking an Observability Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own and evolve observability systems across large-scale, GPU-enabled bare-metal infrastructure. You’ll operate at the intersection of infrastructure, data, and product, building platforms for metrics, logs, traces, and alerting that power both internal operations and customer-facing visibility.

You will play a key role in productizing observability, enabling scalable, multi-tenant monitoring experiences while keeping pace with rapid infrastructure buildouts. This includes designing telemetry pipelines, improving signal quality, and delivering actionable insights that ensure reliability and transparency across our platform.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

Observability Platform & Productization

• Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
• Drive the productization of observability capabilities for both internal teams and external customers
• Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
• Continuously improve observability systems to keep pace with rapid infrastructure buildouts

Telemetry & Data Pipelines

• Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
• Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
• Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar

Alerting, Reliability & Insights

• Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
• Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
• Build automated insights and enable proactive detection, forecasting, and system health visibility at scale

Systems & Infrastructure Engineering

• Contribute to broader infrastructure engineering projects beyond observability
• Partner with infrastructure and platform teams to embed observability into core systems and workflows
• Support large-scale, distributed systems across compute, networking, and storage environments

Cross-Functional Collaboration

• Work closely with customer-facing teams to deliver external observability experiences
• Collaborate with engineering, operations, and support teams to improve system transparency and reliability
• Help define best practices for observability across the organization

What You’ll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, SRE, or observability-focused roles
• Strong experience with monitoring systems such as Prometheus, Grafana, ELK, or VictoriaMetrics
• Experience building and operating observability platforms at scale
• Proficiency in Python, Go, or bash for automation and data integration
• Familiarity with containerized environments and Kubernetes observability
• Experience with streaming telemetry pipelines (Kafka, OTEL, Promtail, or equivalent)
• Experience with multi-tenant monitoring architectures
• Strong written and verbal communication skills

Ideal Experience

• Experience with GPU observability, particularly NVIDIA DCGM
• Experience monitoring large-scale GPU or HPC clusters
• Familiarity with InfiniBand fabric observability
• Experience building customer-facing or productized infrastructure systems
• Experience with correlation engines, RCA workflows, or predictive alerting systems
• Broad exposure to infrastructure domains including networking, storage, and provisioning

Compensation

What We're Looking For

Lightning AI is seeking a GPU & Compute Infrastructure Engineer to join our Infrastructure Engineering team.

In this role, you will own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure, with a particular focus on GPU-enabled systems. You will work at the intersection of hardware, systems, and software—developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads.

You will play a key role in owning and evolving our image pipeline, running validation environments and test clusters, and supporting both system-level and GPU hardware qualification. This role is critical to ensuring that our infrastructure is consistent, performant, and ready to support demanding AI workloads from day one.

We’re flexible on location for this team. This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote within the U.S., with occasional company and team offsites. We are not able to provide visa sponsorship for this position at this time.

What You'll Do

Systems, Image & Validation Infrastructure

• Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
• Run and maintain test clusters used for system validation, diagnostics, and bring-up
• Validate firmware, drivers, and OS images across compute and GPU-enabled systems
• Support hardware qualification efforts for next-generation platforms

GPU Diagnostics & Performance

• Own GPU diagnostics and validation workflows across large-scale infrastructure
• Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
• Analyze system and GPU performance using tools such as NVIDIA DCGM
• Identify failure patterns and drive improvements in system stability and validation coverage

Automation & Tooling

• Build and maintain automation for provisioning, validation, and system bring-up
• Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
• Improve the reliability, repeatability, and scalability of image pipelines and validation systems

Systems & Operations

• Manage and operate Linux-based systems in production and validation environments
• Manage virtualization technology
• Support bare-metal provisioning workflows, including PXE and image-based systems
• Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging

Cross-Functional Collaboration

• Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
• Collaborate with platform and ML teams to ensure systems meet workload requirements
• Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure

What You'll Need

Required Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles
• Strong Linux systems experience in production environments
• Hands-on experience with GPU-enabled systems and tools such as NVIDIA DCGM
• Familiarity with bare-metal provisioning and system bring-up workflows
• Proficiency in Python or similar scripting/programming languages for automation
• Ability to debug complex issues across hardware, OS, GPUs, and system software

Ideal Experience

• Experience with high-performance interconnects (e.g., InfiniBand, NVLink)
• Experience with PXE boot environments, LiveCD systems, or image-based provisioning workflows
• Experience with hardware management interfaces such as iDRAC, IPMI, or Redfish
• Data center operations experience, including working with physical hardware
• Experience supporting AI/ML or HPC workloads at scale
• Experience with GPU validation frameworks or large-scale hardware qualification processes

Compensation

What We're Looking For

We’re looking for a Fullstack Engineer to help develop and scale the Lightning AI platform across the frontend, CLI, APIs, and core backend systems. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (NYC, SF, Seattle, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and either Python or Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Proficiency in React and either Go (Golang) or Python, with a preference for Go
• Strong understanding of software engineering principles and lifecycle
• Hands-on experience as a Fullstack Engineer in a SaaS technology company
• Proven ability to take ownership of key features and drive end-to-end development
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

What We're Looking For

We’re looking for a Frontend Engineer to help develop and scale the UI and frontend infrastructure of the Lightning AI platform. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. With over 10,000 organizations building with Lightning, you’ll have a unique opportunity to impact how the world builds and deploys AI to production.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in React and Redux, and build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the user interface and frontend infrastructure while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain high standards for software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment in which each engineer can grow.

What You’ll Need

• Proficiency in React, JavaScript and TypeScript.
• Strong understanding of software engineering principles and lifecycle.
• Hands-on experience as a Frontend Engineer in a SaaS technology company.
• Proven ability to take ownership of key features and drive end-to-end development.
• Communication and collaboration with engineers, product managers, and designers.
• Ability to operate in high uncertainty and rapidly changing environments.

Compensation

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

We are looking for a Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.

As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.

This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.

The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.

What You’ll Do:

Team Leadership & Development

• Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
• Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
• Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
• Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
• Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
  
  

Strategic Customer Support

• Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
• Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
• Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
• Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.

Technical & Cross-Functional Operations

• Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
• Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
•  Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
• Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
• Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.

Key Metrics:

• Customer Satisfaction (CSAT) for strategic accounts
• Time to Response and Resolution (TTR) for strategic customers
• Tier 1 resolution rate vs. escalation rate
• Time-to-escalation and engineering handoff SLA adherence
• SLA adherence and escalation response times
• Support productivity and quality (QA scores)
• Post-incident documentation completion rate

What You’ll Add to DigitalOcean:

• Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
• Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
• Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
• Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
• Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
• Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.

Preferred Qualifications:

• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
• Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• ITIL or equivalent service management certification

Compensation Range: 

• $125,000 - $153,000

*This is a remote role

JR: 2026-7692

#LI-Remote

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience             

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
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Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Role Overview

Gradial is hiring a Forward Deployed Product Manager to help enterprise clients activate our AI platform inside complex marketing technology environments. In this role, you’ll work directly with customers to translate business goals into technical implementations, shaping both product usage and roadmap. You’ll support late-stage sales, lead delivery, and ensure measurable impact post-launch - all while feeding critical insights back into product development.

Responsibilities

• Define integration scope, success criteria, and deployment strategy during late-stage sales cycles
• Lead implementation efforts across CMS, DAM, and workflow automation tools in client environments
• Design and validate agent-powered workflows that streamline content creation, personalization, and publishing
• Act as the voice of the customer with Product and Engineering, translating implementation challenges into roadmap opportunities
• Drive go-live, QA, and UAT processes with clear ownership of time-to-value
• Deliver enablement resources, training, and documentation to support long-term adoption
• Build trusted relationships with client-side marketing and technical stakeholders

Requirements

• 7+ years in product, implementation, or consulting roles within enterprise MarTech
• Deep experience with CMS and DAM systems (e.g., AEM, Contentful, Sitecore) and content workflow tooling
• Proven success deploying technology into complex client environments with multiple stakeholder groups
• Strong product instincts with the ability to scope features and influence roadmap based on real-world usage
• Excellent communication skills; comfortable aligning cross-functional teams around technical decisions
• Willingness to travel for critical client engagements and cross-functional planning

Desirable Attributes

• Background in management consulting, systems integration, or forward-deployed product roles
• Familiarity with AI-based marketing automation and analytics platforms

Compensation 

The salary range for this position is $130,000 – $190,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role will be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs. 

Role Overview

Gradial is hiring a Forward Deployed Product Manager to help enterprise clients activate our AI platform inside complex marketing technology environments. In this role, you’ll work directly with customers to translate business goals into technical implementations, shaping both product usage and roadmap. You’ll support late-stage sales, lead delivery, and ensure measurable impact post-launch - all while feeding critical insights back into product development.

Responsibilities

• Define integration scope, success criteria, and deployment strategy during late-stage sales cycles
• Lead implementation efforts across CMS, DAM, and workflow automation tools in client environments
• Design and validate agent-powered workflows that streamline content creation, personalization, and publishing
• Act as the voice of the customer with Product and Engineering, translating implementation challenges into roadmap opportunities
• Drive go-live, QA, and UAT processes with clear ownership of time-to-value
• Deliver enablement resources, training, and documentation to support long-term adoption
• Build trusted relationships with client-side marketing and technical stakeholders

Requirements

• 7+ years in product, implementation, or consulting roles within enterprise MarTech
• Deep experience with CMS and DAM systems (e.g., AEM, Contentful, Sitecore) and content workflow tooling
• Proven success deploying technology into complex client environments with multiple stakeholder groups
• Strong product instincts with the ability to scope features and influence roadmap based on real-world usage
• Excellent communication skills; comfortable aligning cross-functional teams around technical decisions
• Willingness to travel for critical client engagements and cross-functional planning

Desirable Attributes

• Background in management consulting, systems integration, or forward-deployed product roles
• Familiarity with AI-based marketing automation and analytics platforms

Compensation 

The salary range for this position is $130,000 – $190,000 annually. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role will be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs. 

What We're Looking For

We are looking for a Senior Application Security Engineer to help secure our AI, machine learning, and inference platforms. This is a hands on technical role focused on building security into modern AI infrastructure, inference systems, and developer platforms.

You will work closely with platform engineers, ML engineers, and infrastructure teams to identify risks, design secure architectures, and build security tooling that enables engineers to move quickly and safely.

This role is execution focused. You will drive technical implementation, perform deep security reviews, and help build out our application security capabilities alongside the CISO and engineering leadership.

This role can be based out of one of our office hubs (San Francisco or Seattle) with in-office requirements of at least 2 days per week, plus occasional team/company offsites. We are not able to offer visa sponsorship for this position at this time.

What You’ll Do

Secure AI and Machine Learning Systems

• Perform threat modeling across AI platforms, inference services, and ML pipelines
• Identify risks such as prompt injection, model extraction, adversarial inputs, and data leakage
• Review model serving architectures and inference pipelines
• Partner with ML engineers to secure training, fine tuning, and deployment workflows
• Help design isolation and security controls for multi tenant AI workloads

Application Security Engineering

• Perform architecture and design security reviews
• Conduct targeted code reviews for high risk components
• Identify security gaps in APIs, micro-services, and distributed systems
• Build secure patterns for authentication, authorization, and service to service communication
• Help engineering teams implement secure defaults and guardrails

Inference Platform Security

• Secure customer facing inference APIs and services
• Protect against abuse, model extraction, and adversarial behavior
• Design rate limiting, isolation, and workload protection controls
• Build monitoring and detection for anomalous inference behavior

AI Supply Chain and Model Security

• Evaluate open source models and dependencies
• Secure model artifacts and distribution pipelines
• Implement integrity validation and provenance controls
• Help secure container images and runtime environments

Security Automation and Tooling

• Build security automation for AI and application pipelines
• Integrate security scanning into CI/CD workflows
• Develop tooling to help engineers detect and fix issues early
• Improve developer experience with security guardrails

What You'll Need

Required Experience

• Strong background in application security engineering
• Experience performing threat modeling and architecture reviews
• Experience securing APIs and distributed systems
• Experience working in cloud environments such as AWS, GCP, or Azure
• Experience with containers and Kubernetes
• Strong scripting or programming skills such as Python, Go, or similar
• Experience working closely with engineering teams to implement security improvements

AI and Machine Learning Experience

• Experience securing ML pipelines, inference systems, or data platforms
• Familiarity with risks such as prompt injection, model extraction, and adversarial inputs
• Experience reviewing model serving architectures
• Understanding of training data security and data leakage risks

It's a Strong Plus If You Have

• Red team or offensive security experience
• Experience crafting payloads and evaluating CVEs for exploitability in diverse environments
• Experience with GPU infrastructure or high performance computing
• Experience with Hugging Face, PyTorch, TensorFlow, or similar frameworks
• Experience with LLM systems, RAG pipelines, or agent frameworks
• Experience building security automation pipelines
• Experience securing multi tenant infrastructure

What Success Looks Like

• Security is embedded into AI platform architecture early
• Engineering teams ship quickly with secure defaults
• Inference platforms are resilient against abuse and extraction
• Model pipelines are secure and auditable
• Security tooling scales with engineering growth

Why This Role Matters

This role sits at the intersection of application security, AI infrastructure, and developer platforms. You will help define how we secure modern AI systems while enabling engineers to move quickly and safely.

You will work closely with engineering leadership and the CISO to build practical, scalable security capabilities that support rapid innovation in AI and machine learning.

Compensation

We're building a new capability at Pinterest: embedding AI-native engineering directly inside our business functions. The AI Solutions Engineer will partner with teams across Marketing, Finance, Sales, HR, Legal, and other functions to surface high-value automation opportunities, then design and ship the AI-powered tools that bring those opportunities to life.

This is a hands-on, mid-level software engineering role for someone who is equally comfortable reading a business process flowchart and writing production-grade Python. You'll work end-to-end — from discovery and scoping through prototyping, launch, and iteration — using the latest agentic frameworks, tool-calling patterns, and responsible AI practices.

What you'll do:

• Discover and scope AI opportunities: Partner with internal teams across corporate functions to understand their workflows, pain points, and goals, and identify high‑value AI/automation opportunities. Map and improve business processes: document current workflows, identify bottlenecks, and propose AI‑enabled changes that deliver clear business outcomes (e.g., time or cost savings, improved quality or compliance).
• Design end-to-end AI solutions: Design and implement AI‑enabled tools and workflows that integrate with existing systems and data sources, and that are intuitive for non‑technical users.
• Build and ship production-quality software: Write clean, maintainable code and tests. Use standard CI/CD and environment practices. Implement logging, monitoring, and basic guardrails so we can understand and improve performance, quality, cost, and reliability over time.
• Pilot, rollout, and drive adoption: Pilot, roll out, and drive adoption of solutions by working closely with end‑users, gathering feedback, and iterating based on real‑world usage.
• Champion for responsible AI: Ensure solutions follow privacy, security, and compliance expectations, especially when working with sensitive or regulated data.
• Build for reuse: Create and share reusable patterns, components, and documentation to make future AI/automation work faster and more consistent across teams.
• Accelerate Workflows with Generative AI and Automation: Leverage AI to accelerate execution (e.g., draft, prototype, outline), explore alternative solutions using AI (iterate, compare approaches), synthesize information with AI (summarize, distill key themes), automate repeatable work (documentation, reporting, QA checks)

What we're looking for:

We're looking for mid-level engineers who have already shipped something real with AI — and who can work as a peer with non-technical business partners, not just as an order-taker. Specifically, you bring:

• Software engineering foundation. A CS, Engineering, Data Science, or related degree (or equivalent experience), with demonstrated ability to build and operate production systems — backend services, internal tools, integrations, or data applications.
• Hands-on AI and automation delivery. You've shipped AI-powered or automation-driven solutions in a real environment. Examples include: a multi-step workflow automation, an internal tool using document understanding or intelligent routing, or an integration of an AI service (e.g., OpenAI, Anthropic, Vertex AI, Bedrock) into an existing system.
• Agentic AI literacy. You understand how modern agentic systems are constructed — the difference between local and remote agents, how MCP (Model Context Protocol) works, what Agent Skills and Hooks are for, and how A2A (Agent-to-Agent) coordination is structured. You can reason about when to use these patterns and when simpler approaches suffice.
• System design and architecture thinking. You can sketch a data flow, reason about integration points, evaluate trade-offs between approaches, and design for failure — including fallbacks, retry logic, timeouts, and human escalation paths.
• Data and security judgment. You understand data access controls, the risks of giving AI broad access to sensitive information, PII minimization, audit logging, and what responsible data handling looks like in an enterprise environment. You know to filter data before it reaches the model, not after.
• Business function acumen. You can engage credibly with stakeholders in Marketing, Finance, Sales, HR, Legal, or Operations — understanding their workflows, KPIs, and constraints well enough to scope solutions that fit their real needs.
• Clear, collaborative communication. You can explain architecture trade-offs to a Finance Manager and debug a prompt failure with an engineer in the same afternoon. You build trust by being direct about limitations, not by over-promising.
• Preferred Qualifications
  • Experience working embedded with or alongside corporate / G&A functions (Finance, Legal, HR, Marketing, Sales Operations, or similar).
  • Practical experience with agentic frameworks such as LangGraph, Claude Agent SDK, or comparable tooling
  • Familiarity with MCP server design — including building, deploying, and securing MCP-compliant tool servers.
  • Experience designing and evaluating AI outputs at scale: eval sets, sampling pipelines, human-in-the-loop review queues, or A/B testing of AI-powered features.
  • Exposure to responsible AI frameworks: data minimization, differential privacy concepts, model output auditing, or working in PII-sensitive / regulated domains.
  • Experience with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or enterprise search integrations.
  • Familiarity with CI/CD for AI: prompt versioning, model version pinning, regression testing for LLM-powered features.
  • Bachelor’s/Master’s degree in a relevant field such as Computer Science or equivalent experience.
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
  • Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review).
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

Relocation Statement:

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  
  

In-Office Requirement Statement:

•  This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.
  
  

#LI-REMOTE

#LI-KBF

• 💰 Competitive Compensation. For this role our salary is targeted at $95,000 - $112,000 per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. 
• 🏆  Syndio Equity. So you can share in Syndio’s success.
• 🏝  Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, and voting leave. 
• Paid parental leave
• 🩺  Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents.
• 🏥  Life Insurance & Disability. Syndio covers the full premium.
• 🏦 401(k). To help you save for your future

The interview overview

Below you'll find an outline of the interview plan for our Senior Executive Assistant position. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

• 30 min interview with a member of our Talent Team
• 45 minute zoom interview with the Hiring Manager
• Three video interviews with several team members - 2.5 hours
• Final in person interview with executives - 1 hour

It’s a plus if you have:

• Hands-on experience with Upbound and/or Crossplane
• Familiarity with KCS (Knowledge-Centered Service) practices and methodology
• Experience building agentic tooling, support automations, or AI-assisted workflows to improve customer outcomes
• Proficiency with Unix-like shells and command-line interfaces
• Scripting skills in Python, Bash, or similar
• Startup experience you know how to operate with ambiguity and move fast
• Hands-on experience with GitOps tooling (ArgoCD or Flux) and familiarity with reconciliation failure modes — drift, conflicts, dependency ordering
• Background in platform engineering or internal developer platforms (IDPs) — you understand what platform teams are trying to build and why it breaks
• Working proficiency in Go — enough to read Crossplane/provider source and identify relevant fixes

#LI-REMOTE

ABOUT THIS OPPORTUNITY

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

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

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

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

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

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

WHAT YOU’LL BRING

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

ADDED BONUSES

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

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

THE ONX EXPERIENCE

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

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

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

WHERE YOU CAN WORK

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

HOW YOU’LL BE COMPENSATED

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

WHAT WE’RE OFFERING YOU

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

PERFORMANCE ESSENTIALS

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

Position open until filled. 

#LI-Remote

• The Director/ Senior Director of Product Management, Life Sciences Industry is responsible for leading the strategy and execution of the company's Life Sciences product portfolio. This role requires a deep understanding of the market, customer needs, and competitive landscape, as well as the ability to lead cross-functional teams in developing and launching innovative products that meet business objectives and drive growth.

• Lead the product management strategy and execution for the company's Life sciences product portfolio
• Define and prioritize product requirements based on market and customer needs, and work closely with cross-functional teams to deliver innovative products that meet business objectives and drive growth
• Collaborate with sales and marketing teams to develop go-to-market strategies and ensure successful product launches
• Develop and maintain a deep understanding of market trends, challenges, and opportunities, and make recommendations for new product development and enhancements to existing products
• Lead and manage a team of product managers and collaborate with other cross-functional teams, including engineering, design, and quality assurance, to ensure successful product development and launch
• Monitor and analyze market trends and competitive landscape to inform product development and strategy
• Manage product roadmap and prioritize product features and enhancements based on customer feedback, market trends, and business objectives
• Ensure that all products meet quality standards and customer expectations
• Provide leadership and guidance to cross-functional teams to ensure successful execution of product development projects
• Establish and maintain relationships with key customers, industry experts, and thought leaders to inform product strategy and stay up-to-date on industry trends and best practices.

• Bachelor's or Master's degree in Business, Marketing, Engineering, or related field
• 10+ years of experience in product management or related roles in the Life Sciences industry
• Strong knowledge of market trends, challenges, and opportunities in Life Sciences
• Proven track record of developing and launching successful products in the Life Sciences industry
• Demonstrated experience in leading and managing cross-functional teams
• Excellent communication, leadership, and collaboration skills, with the ability to influence stakeholders at all levels
• Strong problem-solving and analytical skills, with the ability to identify and solve complex business problems
• Ability to manage multiple projects simultaneously and deliver results on time and within budget
• Familiarity with agile development methodologies
• Understanding of digital marketing and e-commerce best practices
• Experience with brand management and development

Pay Range (Base Pay):   $210,000 - $380,000

Other Types of Pay: Based on level and role the employee may be eligible for long term incentives in the form of equity and short term incentives of either bonus or commission. 

Health Insurance: Medical, Dental, Vision, Life and Disability Insurance, Employee Assistance Program (EAP).

Retirement Benefits: 401(k) plan

Paid Time Off: Talkdesk offers an uncapped paid time off program for exempt employees and an accrual-based program for non-exempt employees; both are subject to manager approval and consistent with business needs.

Paid Holidays: Talkdesk offers 14 paid holidays each year. 

Paid Sick Leave: Exempt employees have uncapped paid time off and non-exempt sick leave follows accrual standards; both are subject to manager approval and consistent with business needs.

Method of Application: Apply online.

Application Window: The application window is expected to close at least 7 days from the posting date. The application was posted on 03/17/2026.

Benefits and perks listed above may vary based on the nature of your employment with Talkdesk.

All questions or concerns about this posting should be directed to the Talent team at Talent@talkdesk.com.

Job Summary:

• The Senior Director of Product Management, Digital Applications is responsible for leading the strategy and execution of the company's Digital product portfolio. This role requires a deep understanding of the market, customer needs, and competitive landscape, as well as the ability to lead cross-functional teams in developing and launching innovative products that meet business objectives and drive growth.

Duties and Responsibilities:

• Lead the product management strategy and execution for the company's Digital technologies and applications product portfolio
• Define and prioritize product requirements based on market and customer needs, and work closely with cross-functional teams to deliver innovative products that meet business objectives and drive growth
• Collaborate with sales and marketing teams to develop go-to-market strategies and ensure successful product launches
• Develop and maintain a deep understanding of market trends, challenges, and opportunities, and make recommendations for new product development and enhancements to existing products
• Lead and manage a team of product managers and collaborate with other cross-functional teams, including engineering, design, and quality assurance, to ensure successful product development and launch
• Monitor and analyze market trends and competitive landscape to inform product development and strategy
• Manage product roadmap and prioritize product features and enhancements based on customer feedback, market trends, and business objectives
• Ensure that all products meet quality standards and customer expectations
• Provide leadership and guidance to cross-functional teams to ensure successful execution of product development projects
• Establish and maintain relationships with key customers, industry experts, and thought leaders to inform product strategy and stay up-to-date on industry trends and best practices.

Qualifications:

• Bachelor's or Master's degree in Business, Marketing, Engineering, or related field
• 10+ years of experience in product management or related roles in the industry
• Strong knowledge of market trends, challenges, and opportunities
• Proven track record of developing and launching successful products in the industry
• Demonstrated experience in leading and managing cross-functional teams
• Excellent communication, leadership, and collaboration skills, with the ability to influence stakeholders at all levels
• Strong problem-solving and analytical skills, with the ability to identify and solve complex business problems
• Ability to manage multiple projects simultaneously and deliver results on time and within budget
• Familiarity with agile development methodologies
• Understanding of digital marketing and e-commerce best practices
• Experience with brand management and development
  
  

Pay Range (Base Pay): $210,000 - $353,500

Other Types of Pay: Based on level and role the employee may be eligible for long term incentives in the form of equity and short term incentives of either bonus or commission. 

Health Insurance: Medical, Dental, Vision, Life and Disability Insurance, Employee Assistance Program (EAP).

Retirement Benefits: 401(k) plan

Paid Time Off: Talkdesk offers an uncapped paid time off program for exempt employees and an accrual-based program for non-exempt employees; both are subject to manager approval and consistent with business needs.

Paid Holidays: Talkdesk offers 14 paid holidays each year. 

Paid Sick Leave: Exempt employees have uncapped paid time off and non-exempt sick leave follows accrual standards; both are subject to manager approval and consistent with business needs.

Method of Application: Apply online.

Application Window: The application window is expected to close at least 10 days from the posting date. The application was posted on 03/19/2026.

Benefits and perks listed above may vary based on the nature of your employment with Talkdesk.

All questions or concerns about this posting should be directed to the Talent team at Talent@talkdesk.com.

About the role

We are looking for an Accounts Receivable Specialist to join our Invoice to Cash (I2C) team within Revenue Accounting. In this role, you will own a portfolio of customer accounts and drive the collections lifecycle end to end: proactive outreach, dunning, dispute resolution, and ensuring customers pay in accordance with their contractual terms. You will be measured against clear SLAs and KPIs, including cash collection targets, DSO, CSAT, daily outreach volume, and QA reviews of your work.

Anthropic is growing quickly, and our I2C function is scaling with it. Beyond day to day portfolio management, we are looking for someone who will be a strong team contributor: sharing and absorbing best practices, helping shape our playbooks, and bringing thoughtful recommendations to improve our I2C processes and automation tooling.

Responsibilities:

• Own end to end collections activity for an assigned customer portfolio, executing against established dunning schedules and escalation paths

• Conduct proactive customer outreach via email, phone, video, and other channels to secure on time payment in line with contractual terms

• Investigate and resolve customer disputes and billing inquiries, partnering with internal stakeholders across Sales, Customer Success, Billing, Legal, and Revenue Accounting to ensure issues are prioritized and resolved in a timely manner

• Consistently meet or exceed SLAs and KPIs, including cash collection targets, DSO, CSAT, daily outreach, and internal QA reviews

• Maintain accurate, detailed notes of all customer interactions, commitments, and dispute status in our ERP and in Tesorio

• Monitor AR aging, flag at risk accounts early, and recommend action plans to management

• Support cash application research, payment discrepancy resolution, and account reconciliations as needed

• Contribute to month end close activities, including aging analysis and collection forecasts

• Share learnings and best practices across the I2C team, and bring forward recommendations to improve our processes, controls, and automation tooling

• Partner with Finance Systems and I2C leadership on testing, rollout, and adoption of new collections tools and workflow enhancements

You may be a good fit if you:

• Have 7+ years of experience in accounts receivable, collections, or a related Invoice to Cash function

• Have experience working in a B2B SaaS company

• Have experience operating in a hypergrowth or rapidly scaling finance organization

• Have a strong working knowledge of collections, dunning, dispute resolution, and cash application processes

• Have hands on experience with Tesorio, our collections tooling, or like tooling such as HighRadius, Growfin, and others

• Have a track record of meeting or exceeding collections KPIs such as cash targets, DSO, aging, and CSAT

• Have excellent written and verbal communication skills, with the ability to engage customers professionally across email, phone, and video

• Are comfortable navigating cross functional stakeholders to drive dispute resolution with appropriate urgency

• Have experience with ERP platforms (for example NetSuite, Workday, or similar)

• Are proficient in Excel or Google Sheets, including pivot tables and lookups

• Bring strong attention to detail and the ability to manage a high volume portfolio without sacrificing accuracy

• Are a team player who actively shares best practices and welcomes feedback

Strong candidates may also:

• Hold a Bachelor's degree in Accounting, Finance, Business Administration, or a related field

• Have contributed to automation or process improvement initiatives within an I2C organization

• Make heavy use of AI agents in their day to day work to drive efficiency and quality

• Be familiar with credit risk and credit management concepts

• Are passionate about Anthropic's mission to build safe, beneficial AI systems

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Marketing at Brex

Marketing tells the story of Brex to the world. From acquisition to activation, we translate product value into business results. Our team spans Revenue, Product, and Brand Marketing, and works closely with nearly every function at Brex. We move fast, experiment often, and think deeply about customer behavior. If you want your creativity to drive growth and shape perception, this is the place.

What you’ll do

The Brex Marketing team is looking for an experienced Senior Marketing Operations Manager to own the systems, data infrastructure, and digital growth engine powering our Product-Led Growth (PLG) motion. This role is central to how Brex scales digital acquisition, optimizes self-serve onboarding flows, and unlocks marketing performance through automation, experimentation, and insights.

The ideal candidate is passionate about building a best-in-class marketing tech stack—including structuring event schemas, improving attribution, unlocking insights, and driving efficiency. This person is also excited about how AI and agentic workflows can transform our operational processes, improve personalization, accelerate experimentation velocity, and automate routine tasks. You will help define and execute our future-state marketing operations architecture, modernizing systems, processes, and data across paid, web, product, and lifecycle channels.

Where you’ll work

This role will be based in our New York City office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own and evolve the PLG martech ecosystem—including Twilio Segment, Google Analytics, Marketo, Sanity CMS, Salesforce, and paid-channel integrations—to ensure a best-in-class, scalable, and reliable infrastructure.
• Define and execute a future-state roadmap for PLG operations, leveraging AI-driven automation, agentic workflows, and scalable systems foundations.
• Build and optimize automated lifecycle and activation programs using AI-assisted segmentation, predictive scoring, and personalized content delivery.
• Partner with Web, Product, and Engineering teams to modernize event tracking frameworks, ensuring clean, structured, privacy-aligned data flows through Segment, GA, and in-product analytics.
• Support and scale experimentation by integrating event tracking, metadata, and insights with AI-enabled analysis and rapid test iteration.
• Collaborate with Paid Growth to ensure high-quality tagging, attribution, and channel measurement across Google Ads, LinkedIn Ads, Meta Ads, and Reddit Ads.
• Partner cross-functionally with CX, Operations, Sales, and Web teams to support chatbot and live chat experiences on Brex.com — including qualification logic, routing workflows, data capture, and integration with downstream teams. Serve as the Marketing Operations lead ensuring technical implementation, measurement, workflow orchestration, and operational governance, even in a co-owned model.
• Build dashboards and insights leveraging AI-enhanced analytics to monitor PLG health, funnel friction, conversion behavior, and growth loops.
• Identify opportunities to automate manual processes using Zapier, Segment, Marketo programs, and AI agents to improve speed, accuracy, and scale.
• Troubleshoot and resolve issues across systems (Segment, GA, Marketo, Salesforce), maintaining a high-quality data environment and rapid operational velocity.

Requirements

• 4+ years in Marketing Operations, Growth Operations, or Digital Systems roles supporting PLG or digital-first acquisition funnels.
• Hands-on experience with Segment, Google Analytics, Marketo, and event-based tracking frameworks.
• Strong analytical capabilities related to experimentation, attribution, and funnel performance measurement.
• Experience supporting paid acquisition workflows across Google, LinkedIn, Meta, and other digital channels.
• Experience partnering with cross-functional teams (CX, Operations, Sales, Web) to manage or enhance chatbot and/or live chat experiences—including qualification, routing, data models, and workflows—even when operational ownership is distributed across teams.
• Demonstrated experience driving operational efficiency and automation through workflow orchestration tools (Zapier, agentic AI systems, CDP-triggered workflows).
• Track record of evolving or modernizing a marketing tech stack toward a future-state architecture.
• Experience collaborating closely with Product, Web Engineering, and Data teams.

Bonus Points

• Experience at FinTech or SaaS companies with PLG or self-serve onboarding models.
• Experience using AI and automation to scale marketing workflows, such as generative personalization, predictive scoring, and automated experiment QA.
• Comfort building integrated workflows between CMS (Sanity) and acquisition tracking systems.
• Familiarity with customer journey analytics tools such as Amplitude, Mixpanel, or similar.
• Demonstrated ability to document architecture, propose long-term solutions, and operationalize complex systems with cross-functional partners.
• Understanding of digital identity verification steps and risk-aware conversion optimization.
• Familiarity with Lead-to-Product connective processes (where website signups eventually feed the GTM funnel).
• Knowledge of ABM or enterprise programs is a plus for hybrid funnel interactions.

Compensation

The expected salary range for this role is $134,696 - $168,370.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Marketing at Brex

Marketing tells the story of Brex to the world. From acquisition to activation, we translate product value into business results. Our team spans Revenue, Product, and Brand Marketing, and works closely with nearly every function at Brex. We move fast, experiment often, and think deeply about customer behavior. If you want your creativity to drive growth and shape perception, this is the place.

What you’ll do

The Brex Marketing team is looking for an experienced Senior Marketing Operations Manager to own the systems, data infrastructure, and digital growth engine powering our Product-Led Growth (PLG) motion. This role is central to how Brex scales digital acquisition, optimizes self-serve onboarding flows, and unlocks marketing performance through automation, experimentation, and insights.

The ideal candidate is passionate about building a best-in-class marketing tech stack—including structuring event schemas, improving attribution, unlocking insights, and driving efficiency. This person is also excited about how AI and agentic workflows can transform our operational processes, improve personalization, accelerate experimentation velocity, and automate routine tasks. You will help define and execute our future-state marketing operations architecture, modernizing systems, processes, and data across paid, web, product, and lifecycle channels.

Where you’ll work

This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own and evolve the PLG martech ecosystem—including Twilio Segment, Google Analytics, Marketo, Sanity CMS, Salesforce, and paid-channel integrations—to ensure a best-in-class, scalable, and reliable infrastructure.
• Define and execute a future-state roadmap for PLG operations, leveraging AI-driven automation, agentic workflows, and scalable systems foundations.
• Build and optimize automated lifecycle and activation programs using AI-assisted segmentation, predictive scoring, and personalized content delivery.
• Partner with Web, Product, and Engineering teams to modernize event tracking frameworks, ensuring clean, structured, privacy-aligned data flows through Segment, GA, and in-product analytics.
• Support and scale experimentation by integrating event tracking, metadata, and insights with AI-enabled analysis and rapid test iteration.
• Collaborate with Paid Growth to ensure high-quality tagging, attribution, and channel measurement across Google Ads, LinkedIn Ads, Meta Ads, and Reddit Ads.
• Partner cross-functionally with CX, Operations, Sales, and Web teams to support chatbot and live chat experiences on Brex.com — including qualification logic, routing workflows, data capture, and integration with downstream teams. Serve as the Marketing Operations lead ensuring technical implementation, measurement, workflow orchestration, and operational governance, even in a co-owned model.
• Build dashboards and insights leveraging AI-enhanced analytics to monitor PLG health, funnel friction, conversion behavior, and growth loops.
• Identify opportunities to automate manual processes using Zapier, Segment, Marketo programs, and AI agents to improve speed, accuracy, and scale.
• Troubleshoot and resolve issues across systems (Segment, GA, Marketo, Salesforce), maintaining a high-quality data environment and rapid operational velocity.

Requirements

• 4+ years in Marketing Operations, Growth Operations, or Digital Systems roles supporting PLG or digital-first acquisition funnels.
• Hands-on experience with Segment, Google Analytics, Marketo, and event-based tracking frameworks.
• Strong analytical capabilities related to experimentation, attribution, and funnel performance measurement.
• Experience supporting paid acquisition workflows across Google, LinkedIn, Meta, and other digital channels.
• Experience partnering with cross-functional teams (CX, Operations, Sales, Web) to manage or enhance chatbot and/or live chat experiences—including qualification, routing, data models, and workflows—even when operational ownership is distributed across teams.
• Demonstrated experience driving operational efficiency and automation through workflow orchestration tools (Zapier, agentic AI systems, CDP-triggered workflows).
• Track record of evolving or modernizing a marketing tech stack toward a future-state architecture.
• Experience collaborating closely with Product, Web Engineering, and Data teams.

Bonus Points

• Experience at FinTech or SaaS companies with PLG or self-serve onboarding models.
• Experience using AI and automation to scale marketing workflows, such as generative personalization, predictive scoring, and automated experiment QA.
• Comfort building integrated workflows between CMS (Sanity) and acquisition tracking systems.
• Familiarity with customer journey analytics tools such as Amplitude, Mixpanel, or similar.
• Demonstrated ability to document architecture, propose long-term solutions, and operationalize complex systems with cross-functional partners.
• Understanding of digital identity verification steps and risk-aware conversion optimization.
• Familiarity with Lead-to-Product connective processes (where website signups eventually feed the GTM funnel).
• Knowledge of ABM or enterprise programs is a plus for hybrid funnel interactions.

Compensation

The expected salary range for this role is $134,696 - $168,370.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Marketing at Brex

Marketing tells the story of Brex to the world. From acquisition to activation, we translate product value into business results. Our team spans Revenue, Product, and Brand Marketing, and works closely with nearly every function at Brex. We move fast, experiment often, and think deeply about customer behavior. If you want your creativity to drive growth and shape perception, this is the place.

What you’ll do

The Brex Marketing team is looking for an experienced Senior Marketing Operations Manager to own the systems, data infrastructure, and digital growth engine powering our Product-Led Growth (PLG) motion. This role is central to how Brex scales digital acquisition, optimizes self-serve onboarding flows, and unlocks marketing performance through automation, experimentation, and insights.

The ideal candidate is passionate about building a best-in-class marketing tech stack—including structuring event schemas, improving attribution, unlocking insights, and driving efficiency. This person is also excited about how AI and agentic workflows can transform our operational processes, improve personalization, accelerate experimentation velocity, and automate routine tasks. You will help define and execute our future-state marketing operations architecture, modernizing systems, processes, and data across paid, web, product, and lifecycle channels.

Where you’ll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Own and evolve the PLG martech ecosystem—including Twilio Segment, Google Analytics, Marketo, Sanity CMS, Salesforce, and paid-channel integrations—to ensure a best-in-class, scalable, and reliable infrastructure.
• Define and execute a future-state roadmap for PLG operations, leveraging AI-driven automation, agentic workflows, and scalable systems foundations.
• Build and optimize automated lifecycle and activation programs using AI-assisted segmentation, predictive scoring, and personalized content delivery.
• Partner with Web, Product, and Engineering teams to modernize event tracking frameworks, ensuring clean, structured, privacy-aligned data flows through Segment, GA, and in-product analytics.
• Support and scale experimentation by integrating event tracking, metadata, and insights with AI-enabled analysis and rapid test iteration.
• Collaborate with Paid Growth to ensure high-quality tagging, attribution, and channel measurement across Google Ads, LinkedIn Ads, Meta Ads, and Reddit Ads.
• Partner cross-functionally with CX, Operations, Sales, and Web teams to support chatbot and live chat experiences on Brex.com — including qualification logic, routing workflows, data capture, and integration with downstream teams. Serve as the Marketing Operations lead ensuring technical implementation, measurement, workflow orchestration, and operational governance, even in a co-owned model.
• Build dashboards and insights leveraging AI-enhanced analytics to monitor PLG health, funnel friction, conversion behavior, and growth loops.
• Identify opportunities to automate manual processes using Zapier, Segment, Marketo programs, and AI agents to improve speed, accuracy, and scale.
• Troubleshoot and resolve issues across systems (Segment, GA, Marketo, Salesforce), maintaining a high-quality data environment and rapid operational velocity.

Requirements

• 4+ years in Marketing Operations, Growth Operations, or Digital Systems roles supporting PLG or digital-first acquisition funnels.
• Hands-on experience with Segment, Google Analytics, Marketo, and event-based tracking frameworks.
• Strong analytical capabilities related to experimentation, attribution, and funnel performance measurement.
• Experience supporting paid acquisition workflows across Google, LinkedIn, Meta, and other digital channels.
• Experience partnering with cross-functional teams (CX, Operations, Sales, Web) to manage or enhance chatbot and/or live chat experiences—including qualification, routing, data models, and workflows—even when operational ownership is distributed across teams.
• Demonstrated experience driving operational efficiency and automation through workflow orchestration tools (Zapier, agentic AI systems, CDP-triggered workflows).
• Track record of evolving or modernizing a marketing tech stack toward a future-state architecture.
• Experience collaborating closely with Product, Web Engineering, and Data teams.

Bonus Points

• Experience at FinTech or SaaS companies with PLG or self-serve onboarding models.
• Experience using AI and automation to scale marketing workflows, such as generative personalization, predictive scoring, and automated experiment QA.
• Comfort building integrated workflows between CMS (Sanity) and acquisition tracking systems.
• Familiarity with customer journey analytics tools such as Amplitude, Mixpanel, or similar.
• Demonstrated ability to document architecture, propose long-term solutions, and operationalize complex systems with cross-functional partners.
• Understanding of digital identity verification steps and risk-aware conversion optimization.
• Familiarity with Lead-to-Product connective processes (where website signups eventually feed the GTM funnel).
• Knowledge of ABM or enterprise programs is a plus for hybrid funnel interactions.

Compensation

The expected salary range for this role is $134,696 - $168,370.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

At Amperity, we’re an AI-first company helping the world’s leading brands create personalized customer experiences that build loyalty and fuel growth. Our AI-powered Customer Data Cloud,  built on multi-patented technology, enables more than 400 global brands, including Alaska Airlines, Wyndham Hotels & Resorts, and DICK’S Sporting Goods, to turn customer data into a competitive advantage.

We unlock the full value of customer data with simplicity and speed. AI is at the core of our platform and the way we work — from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It’s not just a capability; it’s part of our DNA.

Our team thrives on curiosity, collaboration, and transparency, fostering a culture where everyone can contribute, learn, and grow. We welcome talented individuals from diverse backgrounds to help us remove data bottlenecks, accelerate business impact, and push the boundaries of what AI can do for the world’s most innovative companies.

With offices in Seattle, New York City, London, and Melbourne, you’ll join a fast-growing team tackling critical challenges at the intersection of AI, data, and customer experience. Ready to make an impact? Let’s talk.

The Role

As our Marketing Operations Manager, you’ll own the strategy and execution of our marketing infrastructure. You’ll lead the charge in evolving our marketing stack—blending traditional automation with AI to build a scalable foundation—ensuring that every system and workflow is built to support our growth as we scale.

The role will own KPI reporting and full funnel conversion metrics and will report to the Sr Director, GTM Operations. 

Interesting Problems

AI-Driven Campaign Execution & Infrastructure

• Tactical Execution: Architect and own the end-to-end campaign engine, leveraging best-in-class tools to drive high-velocity execution, rigorous A/B testing, and top-of-funnel growth
• Autonomous Workflows: Design and deploy AI-driven agents to automate the "operational tax"—orchestrating seamless audience segmentation, intelligent list management, and real-time data synchronization.
• Dynamic Personalization: Spearhead the use of GenAI to bridge the gap between data and delivery, creating a highly personalized customer journey that drives measurable top-of-funnel health.

Intelligence & Attribution

• Reporting: Build the infrastructure for tracking pipeline influence and opportunity attribution, turning raw data into actionable insights for GTM leadership.
• Lead Lifecycle: Design a scalable lead lifecycle management system that utilizes AI to monitor conversion health and predict funnel performance in real-time.
• Advanced Scoring: Establish a best-in-class scoring engine that bridges the gap between marketing engagement and sales readiness, ensuring the team is always focused on the most promising prospects.

Strategic Operations & Alignment

• Lead Handoff: Own the end-to-end strategy and process for lead orchestration—leveraging tools like LeanData and AI-driven 'Form Concierges' to ensure instant, context-aware handoffs and high-velocity alignment between marketing and sales.
• Cross-Functional Partnership: Orchestrate the AI and automation roadmap in lockstep with Sales and Marketing leadership to ensure our tech stack directly accelerates core business objectives.
• Data Governance: Implement a robust data governance framework that secures privacy compliance and enforces the high-fidelity data standards necessary for sophisticated AI modeling.
• Operational Excellence: Institutionalize governance standards for marketing automation and AI, ensuring the "marketing factory" operates with high precision and meets rigorous internal SLAs.

About You

• 8+ yrs of Marketing, Operations, or Campaign Management in high growth environments
• 2+ years admin experience with Marketo & Salesforce
• Advanced technical stack proficiency across attribution (Marketo, Bizible), ABM (Common Room), routing (LeanData), enrichment (Cognism), database architecture (Databricks, Snowflake) and ETL processes 
• Deep understanding of the Marketo-SFDC sync, including field mapping, sync errors, and how scoring/lifecycle field values flow into Salesforce
• Data-driven strategist with a proven track record of translating complex campaign performance into actionable insights
• Working knowledge of HTML and experience building emails
• Detail-oriented by nature, finding as much satisfaction in high-level process design as you do in the tactical 'final mile' of QA, proofreading, and delivering actionable feedback
• Demonstrated curiosity and commitment to continuous learning, staying current with emergent technologies (e.g., AI) and proactive exploration of how new capabilities can be applied to improve marketing operations.
• B2B SaaS marketing preferred

Location

We have a hybrid work model for employees based in Seattle, WA, and New York, NY, with three days in the office days each week, providing a mix of in-person collaboration and remote flexibility

We will also consider fully remote in CA, CO, FL, GA, IL, MA, MN, NJ, OH, OR, and TX

Compensation

• US: NYC, SF Bay Area, Seattle, the range is $137,000 – $188,000.
• US: All other fully remote locations, the range is $120,000 – $170,000.

Cash Incentives: Cash incentives are also available.

Stock Options:  The opportunity for ownership is an exciting part of Amperity’s total compensation package. Every employee at Amperity receives a new-hire equity grant, commensurate with the scope of their position.

Benefits

We offer all the benefits you'd expect from a great place to work: 100% employee healthcare coverage, transportation subsidies, a comfortable work environment with plenty of snacks, and other employee experience perks like events and activities, both in-person and remote. We also offer self-managed PTO and the flexibility to do your best work in the way that works for you. We provide an inclusive environment where you'll be challenged to find and unlock your full potential, surrounded by a team of world-class people driving for excellence. For more details on our benefits, please see our US Benefits & Perks Guide.

Amperity is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

Agentic AI Software Testing Intern – Intelligence Platform (IPA)

Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.  

This role will be based in the Greater Seattle area and interns are asked to come into our office several days per week. #LI-hybrid

Who We Need    

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.  

Join Truveta’s IPA team at the forefront of agentic AI in healthcare. This internship offers hands-on experience within an AI engineering team during a fast-paced release cycle, where you’ll help test, validate, and support deployment of real-world systems.

We’re seeking detail-oriented Software Testing Interns who thrive in dynamic environments. You’ll work closely with engineers to test features, review builds, and provide rapid feedback—gaining insight into how modern AI systems move from code to production.

This Opportunity:  

Key Responsibilities: 

• Perform structured, manual end-to-end testing of release builds
• Validate feature updates associated with pull requests (pre- and post-merge)
• Execute regression test suites during release and deployment cycles
• Identify, reproduce, and clearly document defects, including detailed steps and expected vs. actual behavior
• Partner directly with engineers to validate fixes quickly and efficiently
• Maintain and improve test case documentation, testing checklists, and tracking logs
• Communicate testing status and findings clearly during high-frequency update cycles
• Support rapid iteration during periods of increased bug fixes and feature changes

Required Qualifications:

• Currently pursuing a B.S. in Computer Science, Engineering, or a related technical field
• Strong analytical and organizational skills
• Excellent written communication skills
• Ability to work collaboratively in a team-based development environment

Preferred Qualifications:

• Prior experience in software QA or manual testing
• Familiarity with Azure DevOps workflows and pull request validation
• Experience testing web and mobile application builds
• Exposure to bug tracking systems such as Jira or Azure DevOps
• Interest in AI systems, automation, or AI-assisted testing approaches

What Success Looks Like

• Timely validation of IPA builds and feature changes
• Clear, reproducible defect reports that accelerate engineering resolution
• Reduced regression issues during high-velocity release cycles
• Strong coordination and communication with engineering teams
• Meaningful exposure to and understanding of the agentic AI development lifecycle

Why Truveta?    

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.    

We offer:    

• Compensation of $20 per hour
• Company-issued laptop and equipment  
• Opportunities for future full-time positions  

If you are based in California, we encourage you to read this important information for California residents linked here.

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements.

Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

WHY DEPT®?

We are pioneers at heart. What this means, is that we are always leaning forward, thinking of what we can create tomorrow that does not exist today. We were born digital and we are a new model of agency, with a deep skillset in tech and marketing. That’s why we hire curious, self-driven, talented people who never stop innovating.

Our culture is big enough to cope and small enough to care. Meaning, that with people across 20+ countries, we’re big enough to provide you with the best tools, global opportunities, and benefits that help you thrive. While acting small by investing in you, your growth, your team, and giving you the autonomy to solve our clients' problems, no matter where you are in the world. 

ABOUT YOU

As an Account Coordinator, Programmatic, your primary function will be to provide vital production support for your account team. Day-to-day responsibilities include but are not limited to running and formatting performance reports, creative trafficking and tagging, building and uploading campaigns, QA support for campaign builds and optimizations and participating in and taking notes during internal syncs, client meetings, and presentations. 

Account Coordinator, Programmatic will become responsible for an enterprise level account and will learn DEPT®’s best practices for Programmatic Buying while gaining the foundational skills necessary to progress into more advanced roles that will expand on the breadth and depth of knowledge.

While DEPT® is a remote-first company, this role requires candidates to be located in either Central, Mountain or Pacific time zones. 

PROFICIENCY EXPECTATIONS

We expect Account Coordinators to develop a solid foundation of programmatic analytical and technical expertise and be proficient in the following:

Proficiency in Excel/Sheets:

Demonstrate proficiency in using essential spreadsheet functions and formulas including, but not limited to:

• sorting
• filters
• xlookup
• concatenate
• pivot tables
• text to columns
• conditional formatting

Demonstrate an understanding of how to take advantage of these functions and formulas when performing tasks (ex: ad customization uses concatenation and length formulas) with limited oversight needed. Accuracy is critical, and Account Coordinators will need to QA their work to ensure accurate data is being relayed to the rest of the team and clients.

Proficiency in Programmatic:

Ability to:

• Pull reports at various levels along with the desired columns/metrics and understand the data/results.
• Creative trafficking and tagging
• Leverage The Trade Desk, Walmart, TTD, Criteo and Roundel DSPs or another DSP to pull and schedule reports for analysis; identifying trends and developing client reporting summaries  
• Update, monitor, and communicate daily budget pacing and high level performance, including flagging variations or anomalies. Leverages Pacvue or other automation tools to create efficiencies and set up live alerts. 
• Organize large volumes of data for insights and strategic storytelling in Excel and/or Google Sheets. Comfort with functions and formulas include but are not limited to; sorting, filters, vlookup, concatenate, pivot tables, text to columns, and conditional formatting.
• Understand relevant media metrics, how to calculate them, and articulate their relationship to each other. Possess a high level understanding of the different optimization levers to pull to surpass benchmark KPI’

GROWTH EXPECTATIONS

Over time in the role, we expect Account Coordinators to be responsible for learning and mastering the areas below:

• Develop suggestions on activation strategy around campaign builds, overall themes, hierarchy, audiences, parameters, and ads
• Create and edit campaigns and audiences in DSPs with oversight and mentorship
• Implement scheduled and ad hoc tasks delegated by direct manager and/or colleagues
• Follow mandatory QA process to completion
• Grow a thorough understanding of programmatic, constantly embodying a “forever student” mentality. Participate in programmatic trainings by asking questions, contributing ideas, and leaning into relationship with agency partners

QUALIFICATIONS   

• 0 - 6 months of programmatic marketing experience
• Strong analytical and reporting skills and knowledge of Microsoft Excel / Google Sheets
• Strong time-management skills and the ability to prioritize to deliver multiple tasks on time
• Strong written and verbal communication skills
• While DEPT® is a remote-first company, this role requires candidates to be located in either Central, Mountain or Pacific time zones. 

Additional things that will impress us: 

• You are an energetic and creative marketing enthusiast; eager to roll up your sleeves and be hands on, learn, and grow in the marketing space
• You are entrepreneurial spirited and a self-starter; able to work both independently and in a team environment
• A desire to stay current with the latest marketing trends

WHAT DO WE OFFER?

We are a collaborative, open-door, best-idea-wins environment that fosters personal and company growth and has fun doing it. Here is a snapshot of our  benefits package:

• Healthcare, Dental, and Vision coverage
• 401k plan, plus matching
• PTO
• Paid Company Holidays
• Parental Leave

The anticipated salary range for this position is $60,000 - $70,000. Salary is based on a range of factors that include relevant experience, expertise, physical location, and organizational impact. This is based on a 40-hour workweek and leveling. Keep in mind, we're flexible. 

WE SUPPORT YOU BEING YOU: 

DEPT® is an equal opportunity employer (EOE). We believe our work is its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s identity, background, beliefs, lifestyle or disabilities. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step. 

DEPT® participates in E-Verify, meaning your Form I-9 information will be sent to the federal government to confirm you are authorized to work in the U.S. 

We are a B Corp-certified company passionate about purpose-driven work.  Our hope is that you can feel good about the contributions DEPT® is making to the world and we always have an open door for your ideas in making the world a better place. 

DEPT® is a pioneering technology and marketing services company that creates integrated end-to-end digital experiences for brands such as Google, KFC, Philips, Audi, Twitch, Patagonia, eBay and more. Its team of 2,500+ digital specialists across 30+ locations on 5 continents delivers pioneering work on a global scale with a boutique culture. 

Learn more about DEPT®

DIVERSITY, EQUITY, & INCLUSION

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine. 

We also encourage you  to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

#LI-Remote

Our Mission & Culture

At Xealth, we're revolutionizing healthcare by leveraging data and automation to empower care providers (building on EHRs such as Epic and Cerner) to seamlessly prescribe, deliver, and monitor digital health for patients. We are a detail-oriented team, committed to maintaining the highest standards while moving with agility and impact.

We are a highly skilled, collaborative, and passionate group, applying our expertise to improve health outcomes for millions. We believe in shared ownership and are looking for a team player who is a self-starter and self-driven to pioneer the next generation of intelligent, automated cloud infrastructure.

This role offers a unique opportunity to build out a self-optimizing cloud platform in a mission-driven environment.

What You'll Own and Deliver (Responsibilities)

As a core member of our software engineering team, you will design, build, and scale the services and applications that power Xealth’s EHR integrations and clinical workflows. You’ll apply solid computer science fundamentals to solve complex problems in distributed systems, data modeling, and API design.

• Design and Develop Core Services: Build robust, maintainable backend services in TypeScript/Node.js and other modern technologies that power our EHR integrations and clinical workflow automation.
• Distributed Systems and Cloud Architecture: Collaborate with DevOps engineers to deploy and operate microservices in AWS using containerization and orchestration tools (e.g., Kubernetes, ECS).
• Technical Leadership: Contribute to code reviews, system design discussions, and technical decisions that raise the engineering bar across the team.
• Automation and AI in Development: Use AI-assisted coding tools like GitHub Copilot to streamline development, increase quality, and accelerate delivery.
• Patient Engagement Services: Design, build, and scale key services handling patient notifications, click tracking, and other critical user engagement workflows.
• Provider and Patient facing applications: Own the development and enhancement of our provider- and patient-facing applications, building intuitive and scalable user interfaces with React.
• Integrate Patient Education Vendors: Develop and maintain reliable, scalable integrations with third-party patient education content providers and partners.

The Expertise You'll Bring (Requirements)

We’re looking for a software engineer with strong computer science fundamentals — someone who’s comfortable reasoning about systems, data, and code structure at scale, and who’s excited to apply those skills in healthcare.

Core Technical Competencies

• Software Engineering Expertise: 3-5 years of professional experience building production software systems using TypeScript/JavaScript.  
• CS Fundamentals: Deep understanding of algorithms, data structures, object-oriented design, concurrency, and distributed systems.
• API and Integration Development: Hands-on experience designing and building RESTful or event-driven APIs with Node.js/Nest/Express.
• Troubleshooting and Debugging: Proficient in diagnosing complex issues across distributed services using logs, traces, and performance metrics.
• Collaboration and Agility: Comfortable working in an agile startup environment, balancing quality with rapid iteration.
• Front-End Development: Demonstrated ability to build, test, and deploy modern, scalable web applications using React and TypeScript, with expertise in the unique engineering and performance challenges of both mobile and desktop web platforms.

Highly Valued Experience (Nice to Have)

• Prior experience in a healthcare startup or health data integration platform.
• Familiarity with high-throughput messaging platforms or services built for mass-scale user communication.
• Experience with AWS or another cloud vendor, e.g. GCP, Azure
• Experience building applications with Tailwind.css

About Xealth

• Xealth created the leading digital health platform helping health systems deliver connected, personalized care at scale. Embedded in the EHR, it enables clinicians to prescribe, automate, and measure the impact of digital tools--including apps, services, and wearable data--within existing workflows. Now part of Samsung's connected care vision, Xealth enhances decision-making, reduces friction, and supports enterprise-wide digital health strategies. Trusted by more than 500 hospitals and 70+ solution partners, Xealth provides a scalable foundation for delivering connected, personalized, and preventative care--empowering health systems to drive outcomes, engagement, and operational efficiency while advancing digital transformation.

• As a market-leading digital health platform recognized for excellence and culture, some of our recent accolades include: Newsweek’s World’s Best Digital Health Companies (2024-2026), consecutive Gold Digital Health Awards, and we were named a BuiltIn Best Place to Work for 2025 and 2026.

Compensation & Benefits:

Xealth offers a multi-tiered approach when constructing a highly competitive compensation package. The compensation package would include a base salary, bonus, and a comprehensive suite of benefits. The base salary compensation range for this position is $145,000 - $200,000, depending on geographic market.

 Paid parental leave.
 Comprehensive medical, dental, and vision policies. Xealth covers 100% of employee premiums. We also provide Employee Assistance Programs.
Xealth provides your laptop and offers a home office stipend.
 Generous learning & development opportunities for you to grow your skills and career.
 401k Match: Xealth offers a dollar-for-dollar match up to 3%.
 Flexible time off & 10 standardized holidays.
 $500 yearly fitness stipend to spend on staying active.

Xealth is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

*Please note - you MUST be a U.S. Citizen or Permanent Resident to be hired*

#LI-DNI

Our Mission & Culture

At Xealth, we're revolutionizing healthcare by leveraging data and automation to empower care providers (building on EHRs such as Epic and Cerner) to seamlessly prescribe, deliver, and monitor digital health for patients. We are a detail-oriented team, committed to maintaining the highest standards while moving with agility and impact.

We are a highly skilled, collaborative, and passionate group, applying our expertise to improve health outcomes for millions. We believe in shared ownership and are looking for a team player who is a self-starter and self-driven to pioneer the next generation of intelligent, automated cloud infrastructure.

This role offers a unique opportunity to join a software development team to advance our capabilities with EHR integrations.

What You'll Own and Deliver (Responsibilities)

As a core member of our software engineering team, you will design, build, and scale the services that power Xealth’s EHR integrations and clinical workflows. You’ll apply solid computer science fundamentals to solve complex problems in distributed systems, data modeling, and API design.

• Design and Develop Core Services: Build robust, maintainable backend services in TypeScript/Node.js and other modern technologies that power our EHR integrations and clinical workflow automation.
• EHR Integration Engineering: Architect and implement integration services leveraging HL7 v2, FHIR, and EHR-specific APIs. Move beyond simple data exchange to design scalable abstraction layers and reusable modules.
• Distributed Systems and Cloud Architecture: Collaborate with DevOps engineers to deploy and operate microservices in AWS using containerization and orchestration tools (e.g., Kubernetes, ECS).
• Data Quality and Security: Implement rigorous validation, monitoring, and observability to ensure data accuracy, integrity, and HIPAA-compliant security.
• Technical Leadership: Contribute to code reviews, system design discussions, and technical decisions that raise the engineering bar across the team.
• Automation and AI in Development: Use AI-assisted coding tools like GitHub Copilot to streamline development, increase quality, and accelerate delivery.
• Cross-Functional Collaboration: Partner with product managers and EHR specialists to translate clinical workflows into elegant, scalable software solutions.

The Expertise You'll Bring (Requirements)

We’re looking for a software engineer with strong computer science fundamentals. Someone who’s comfortable reasoning about systems, data, and code structure at scale, and who’s excited to apply those skills in healthcare.

Core Technical Competencies

• Software Engineering Expertise: 3+ years of professional experience building production software systems using NodeJS and Typescript.
• CS Fundamentals: Deep understanding of algorithms, data structures, object-oriented design, concurrency, and distributed systems.
• API and Integration Development: Hands-on experience designing and building RESTful or event-driven APIs; exposure to the healthcare domain is a plus.
• Distributed Systems Experience: Experience designing and scaling microservices or cloud-native applications using AWS, Kubernetes, or similar technologies.
• Troubleshooting and Debugging: Proficient in diagnosing complex issues across distributed services using logs, traces, and performance metrics.
• Collaboration and Agility: Comfortable working in an agile startup environment, balancing quality with rapid iteration.

Highly Valued Experience (Nice to Have)

• Prior experience in a healthcare startup or health data integration platform with knowledge of FHIR, HL7, patient identity management or clinical data modeling
• Experience implementing secure OAuth2.0/SMART on FHIR authentication flows.

About Xealth

• Xealth created the leading digital health platform helping health systems deliver connected, personalized care at scale. Embedded in the EHR, it enables clinicians to prescribe, automate, and measure the impact of digital tools--including apps, services, and wearable data--within existing workflows. Now part of Samsung's connected care vision, Xealth enhances decision-making, reduces friction, and supports enterprise-wide digital health strategies. Trusted by more than 500 hospitals and 70+ solution partners, Xealth provides a scalable foundation for delivering connected, personalized, and preventative care--empowering health systems to drive outcomes, engagement, and operational efficiency while advancing digital transformation.

• As a market-leading digital health platform recognized for excellence and culture, some of our recent accolades include: Newsweek’s World’s Best Digital Health Companies (2024-2026), consecutive Gold Digital Health Awards, and we were named a BuiltIn Best Place to Work for 2025 and 2026.

Compensation and Benefits:

Xealth offers a multi-tiered approach when constructing a highly competitive compensation package. The compensation package would include a base salary, bonus, and a comprehensive suite of benefits. The base salary compensation range for this position is $155,000 - $212,000, depending on geographic market.

 Paid parental leave.
 Comprehensive medical, dental, and vision policies. Xealth covers 100% of employee premiums. We also provide Employee Assistance Programs.
Xealth provides your laptop and offers a home office stipend.
 Generous learning & development opportunities for you to grow your skills and career.
 401k Match: Xealth offers a dollar-for-dollar match up to 3%.
 Flexible time off & 10 standardized holidays.
 $500 yearly fitness stipend to spend on staying active.

Xealth is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

*Please note - you MUST be a U.S. Citizen or Permanent Resident to be hired*

#LI-DNI

Our Mission & Culture

At Xealth, we're revolutionizing healthcare by leveraging data and automation to empower care providers (building on EHRs such as Epic and Cerner) to seamlessly prescribe, deliver, and monitor digital health for patients. We are a detail-oriented team, committed to maintaining the highest standards while moving with agility and impact.

We are a highly skilled, collaborative, and passionate group, applying our expertise to improve health outcomes for millions. We believe in shared ownership and are looking for a team player who is a self-starter and self-driven to pioneer the next generation of intelligent, automated data insights.

This role offers a unique opportunity to join a data engineering team  to advance our capabilities with data processing pipelines and our analytics product offering. There is a strong preference for this person to sit in the Seattle office; however, we are open to candidates in other locations within the United States. 

What You'll Own and Deliver (Responsibilities)

As a core member of our data engineering team, you will design, build, and scale the services that power Xealth’s Analytics and Reporting Capabilities. You’ll apply solid computer science fundamentals to solve complex problems in distributed systems, data modeling, and data pipelines.

• Data Modeling: Execute expert-level Data Modeling and Design, utilizing dimensional modeling and denormalization techniques specifically for analytic workloads.
• Data Ingestion: Ability to consume and process high-volume bounded and unbounded data, build robust Change Data Capture (CDC) mechanisms, and gather data from API calls and webhooks.
• Pipeline Design & Orchestration: Design, build, and optimize high-volume, real-time Streaming Data Pipelines utilizing PySpark and Databricks environments.
• Scalability & Maintenance: Maintain and scale large Data Lake Pipelines, ensuring high performance and cost-efficiency.
• Unit testing & Quality Assurance: Write comprehensive unit and integration tests for data pipelines to ensure code quality and production reliability.
• Cross-Functional Collaboration: Partner with product managers and EHR specialists to translate clinical user behaviors into rich, analytical datasets, unlocking critical insights that drive evidence-based improvements in healthcare processes. 
• Technical Leadership: Contribute to code reviews, system design discussions, and technical decisions that raise the engineering bar across the team.
• Automation and AI in Development: Use AI-assisted coding tools like GitHub Copilot to streamline development, increase quality, and accelerate delivery.

The Expertise You'll Bring (Requirements)

We’re looking for a data engineer with strong computer science fundamentals. Someone who’s comfortable reasoning about systems, data, and code structure at scale, and who’s excited to apply those skills in healthcare.

Core Technical Competencies:

• Data Engineering Expertise: 5+ years of professional experience building production-grade data pipelines and applications, with expert proficiency in Python, PySpark and SQL. Familiarity with JavaScript would be a plus. You must have solid hands-on experience working with modern massively parallel data processing systems.
• CS Fundamentals: Deep understanding of algorithms and data structures, with a specific focus on distributed computing principles (concurrency, partitioning, shuffling) necessary for processing large-scale datasets.
• Optimization & Troubleshooting: Proficient in diagnosing complex failures in distributed processing jobs (e.g., Spark executor errors, memory leaks, data skew) using logs, distributed tracing, and performance metrics.
• Modern SQL and Non-SQL Database Design: Deep practical knowledge of open table formats, such as Delta Lake. Proficiency with common big data file formats, including Apache Parquet and Apache Avro.
• Infrastructure as Code (IaC): Experience implementing IaC principles and tools for the automated deployment and management of data pipelines.
• API & Integration: Hands-on experience designing robust data ingestion frameworks via RESTful APIs and building event-driven architectures for real-time data flow.
• Cloud & Distributed Systems: Experience designing and scaling cloud-native data platforms and orchestrating data workloads using AWS and Kubernetes.

Highly Valued Experience (Nice to Have)

• Security & Governance: Prior experience in regulated industry with high security requirements. A good working understanding of Data Security principles, particularly regarding Protected Health Information (PHI) and sensitive data governance. 
• Real Time Stream Processing: Expertise building streaming data pipelines, leveraging stream processors such as Apache Kafka and Apache Flink 
• Observability: Experience implementing and utilizing Data Observability tools and practices to monitor data quality, lineage, and pipeline health.
• Visualization: Experience building dashboards and visualizations to communicate data insights effectively

About Xealth

• Xealth created the leading digital health platform helping health systems deliver connected, personalized care at scale. Embedded in the EHR, it enables clinicians to prescribe, automate, and measure the impact of digital tools--including apps, services, and wearable data--within existing workflows. Now part of Samsung's connected care vision, Xealth enhances decision-making, reduces friction, and supports enterprise-wide digital health strategies. Trusted by more than 500 hospitals and 70+ solution partners, Xealth provides a scalable foundation for delivering connected, personalized, and preventative care--empowering health systems to drive outcomes, engagement, and operational efficiency while advancing digital transformation.

• As a market-leading digital health platform recognized for excellence and culture, some of our recent accolades include: Newsweek’s World’s Best Digital Health Companies (2024-2026), consecutive Gold Digital Health Awards, and we were named a BuiltIn Best Place to Work for 2025 and 2026.

• We’re looking for a data engineer with strong computer science fundamentals — someone who’s comfortable reasoning about systems, data, and code structure at scale, and who’s excited to apply those skills in healthcare.

Compensation & Benefits:

Xealth offers a multi-tiered approach when constructing a highly competitive compensation package. The compensation package would include a base salary, bonus, and a comprehensive suite of benefits. The base salary compensation range for this position is $155,000 - $225,000, depending on geographic market.

 Paid parental leave.
 Comprehensive medical, dental, and vision policies. Xealth covers 100% of employee premiums. We also provide Employee Assistance Programs.
Xealth provides your laptop and offers a home office stipend.
 Generous learning & development opportunities for you to grow your skills and career.
 401k Match: Xealth offers a dollar-for-dollar match up to 3%.
 Flexible time off & 10 standardized holidays.
 $500 yearly fitness stipend to spend on staying active.

Xealth is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

*Please note - you MUST be a U.S. Citizen or Permanent Resident to be hired*

#LI-DNI

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

Primary Job Responsibilities:

• Expert at building unified data technologies to support advanced and automated business analytics 
• Design, develop, document, and maintain database and reporting structures used to compile insights 
• Define, develop, and review extract, load, and transform (ELT) processes and data modeling solutions 
• Consistently evolve data processes and techniques following industry best practices 
• Establish and help define reports and dashboards used to translate business data into insights, identify and prioritize operational improvement opportunities, and measure business KPIs against objectives 
• Contribute to the ongoing improvement of quality assurance standards and procedures 
• Mentor and guide less experienced data engineers, contributing to their professional development 
• Stay updated with the latest data engineering technologies and trends and share your insights with the team 
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor's degree in a related field (Computer Science, Engineering, etc.) 
• 5+ years of experience in data engineering roles, including creating and maintaining data pipelines, data modeling, and data architecture 
• 5+ years of experience in data cleansing, governance, and quality/integrity 
• 5+ years of experience in advanced SQL, including expert-level skills in querying large datasets from multiple sources and developing automated reporting 
• 5+ years of experience in Python, with skills for diverse components of data pipelines, including scripting, data manipulation, custom extract, transform and loads, and statistical/regression analysis 
• Expertise in extract, transform, and load (ETL) and extract, load, transform (ELT) processes and pipelines, platforms (e.g. Airflow), and distributed messaging (e.g. Kafka) 
• Experience with tools that capture and control data modeling change management (e.g. SQLMesh) 
• Experience building data alerting & notifications (e.g. on deviations, thresholds, etc.) 
• Experience building and managing tools for data observability and documentation (e.g. DataLab) 
• Proficient in data storage solutions, data warehousing, and cloud-based data platforms (e.g. Snowflake) 
• Proficient in deploying data pipelines to a cloud-native, containerized deployment/delivery environment (e.g. Kubernetes) 
• Knowledge and applicable working experience establishing and ensuring data governance, data quality, and compliance standards 
• Exceptional problem-solving skills and a track record of designing and optimizing data pipelines 
• Excellent communication and collaboration skills with the ability to engage with non-technical stakeholders 
• Experience working with enterprise technologies (CRM, ERP, Marketing Automation Platforms, Financial Systems, etc.) is a plus 
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $140,000-$170,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-KL1

#LI-Onsite

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

Compensation

The base pay range for this position is $214,000 - $294,800  annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

About the Role

We’re looking for a seasoned Staff Infrastructure Engineer to join our engineering team and lead the design, development, and evolution of our cloud infrastructure. In this role, you’ll be at the forefront of scaling our platform, optimizing cloud operations, and driving infrastructure best practices in a modern, services-based architecture.

You’ll work closely with the product engineering, developer experience and security teams to ensure our infrastructure is robust, secure, scalable, and aligned with our product goals. If you thrive in a fast-paced environment, have deep experience in AWS and Kubernetes, and are passionate about infrastructure as code and automation, we’d love to hear from you.

What You'll Do

• Design, build, and maintain scalable, secure, and highly available infrastructure in AWS using best practices.

• Lead our efforts in Kubernetes (EKS) architecture, cluster management, and deployment strategies.

• Collaborate with application and platform engineering teams to optimize microservices deployment, CI/CD workflows, and service orchestration.

• Define and implement infrastructure as code (IaC) using tools like Terraform or AWS CDK.

• Drive observability and performance monitoring strategies using tools like Prometheus, Grafana, Datadog, or CloudWatch.

• Champion DevOps culture across the organization and mentor other engineers on cloud-native best practices. 

• Develop and maintain disaster recovery and business continuity strategies. 

• Conduct architecture reviews, performance tuning, and capacity planning.

• Stay up to date with industry trends and emerging technologies, proactively recommending improvements.
   

What You'll Need

• 8+ years of experience in infrastructure, DevOps, or site reliability engineering roles.

• Strong expertise with AWS services (EC2, ECS/EKS, IAM, VPC, RDS, S3, etc.).

• Deep hands-on experience with Kubernetes (EKS) in production environments.

• Proficient in infrastructure-as-code tools like Terraform, Pulumi, or AWS CDK.

• Experience with microservices and distributed systems architectures.

• Strong scripting and automation skills (e.g., Python, Bash, Go). 

• Proven experience with monitoring, logging, and observability systems.

• Solid understanding of networking, security, and cloud infrastructure best practices.

• Experience in a high-scale, SaaS or cloud-native environment.

• Familiarity with service meshes (e.g., Istio, Linkerd) and container runtimes.

• Knowledge of CI/CD pipelines and tools such as GitHub Actions, ArgoCD, or Jenkins.

• AWS Certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
   

Why Join Us

• Work on cutting-edge cloud infrastructure and architecture.

• Make a real impact on how we scale and ship reliable services.

• Collaborate with a team of passionate engineers in a culture of learning and growth.

• Competitive compensation, equity, and benefits package.
   

Compensation

Our compensation plan consists of a base salary, Opendoor equity and a comprehensive package of benefits including paid time off, paid holidays, medical/dental/vision insurance, basic life insurance, and 401(k) to eligible employees.  All compensation parameters are based on experience.

Submit your resume here to express interest. We review general engineering applicants regularly and will reach out as relevant roles become available.

Our engineering organization builds the foundation, services, and capabilities that power ExtraHop’s industry leading products. Engineers at ExtraHop work across a wide range of challenges that include systems level development, performance optimization, distributed services, network data processing, and user facing features.

We offer an engaging and collaborative environment where engineers are encouraged to design thoughtfully, communicate clearly, and deliver high quality solutions. We value curiosity, ownership, and a willingness to dive deep into complex technologies while contributing to a positive, inclusive culture.

General Key Responsibilities

• Design, build, and maintain high quality software components that contribute to ExtraHop’s core platform and product capabilities.
  
  
• Collaborate closely with engineering peers, product management, UX, QA, and other partners to define requirements, architecture, and implementation details.
  
  
• Participate in code reviews, technical discussions, and architectural planning to ensure quality, stability, scalability, and long term maintainability.
  
  
• Debug, troubleshoot, and improve software running in real world customer environments.
  
  
• Support performance, scalability, and reliability initiatives through measurement, analysis, and optimization.
  
  
• Contribute to test automation, CI/CD processes, and modern engineering practices.
  
  
• Participate in agile development methodologies and help continuously improve team processes.
  
  
• Demonstrate ownership, technical curiosity, and a commitment to continuous learning.
  
  
• Model ExtraHop’s core engineering values which include collaboration, kindness, customer focus, and building technology that matters.
  
  

Often Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
  
  
• Strong programming skills in one or more of the following languages: Go, Python, C, C++, Rust, JavaScript, or TypeScript.
  
  
• Experience developing software on Linux or Unix environments, including debugging, tooling, and common developer workflows.
  
  
• Understanding of networking fundamentals and common Layer 2 through Layer 7 protocols.
  
  
• Familiarity with secure development concepts including encryption fundamentals and modern authentication ideas such as TLS, SAML, or OIDC.
  
  
• Ability to design and implement software with an emphasis on code quality, maintainability, and reliability.
  
  
• Strong problem solving skills, clear communication, and the ability to work both independently and collaboratively.
  
  
• Demonstrated ability to learn new technologies and navigate large or complex systems.
  
  

General Preferred Qualifications

• Experience with cloud providers such as AWS, GCP, or Azure.
  
  
• Familiarity with containers and orchestration technologies such as Docker and Kubernetes.
  
  
• Experience with Infrastructure as Code tools including Terraform or Ansible.
  
  
• Experience with databases such as PostgreSQL, MySQL, Redis, or other distributed storage technologies.
  
  
• Exposure to observability or monitoring tools including Prometheus, Grafana, Elastic, or similar systems.
  
  
• Experience working with CI/CD tools such as GitLab CI, GitHub Actions, or Jenkins.
  
  
• Experience building or supporting software at enterprise scale with considerations around throughput, latency, memory, and resource constraints.
  
  
• Awareness of cybersecurity practices, packet analysis tools such as Wireshark or tcpdump, or general familiarity with detection concepts.
  
  
• Ability to mentor others and contribute to a positive, collaborative engineering culture.
  
  

Position Summary

We are seeking an Engineering Manager in QA to lead and scale our Quality Engineering function: driving strategy, execution, and organizational excellence across automation, testing frameworks, and product quality outcomes. This is a leadership role, responsible not only for leading teams but for shaping the direction of quality engineering across the organization.

You will operate as a systems-level thinker, connecting product architecture, engineering workflows, and customer experience to build a cohesive, scalable quality strategy. You will lead multiple engineers and/or teams, define standards, and ensure quality is embedded across the software development lifecycle, not treated as a downstream activity.

This role requires a balance of technical depth, organizational leadership, and strategic influence, with a focus on building high-performing teams and delivering resilient, high-quality products across on-prem, cloud, and hybrid environments.

Key Responsibilities

• Lead, develop, and scale a high-performing QA/Automation engineering organization.
• Define and execute a comprehensive quality engineering strategy aligned to product and engineering goals.
• Establish best practices for test automation, framework development, and validation at scale.
• Ensure quality is embedded across the entire SDLC, CI/CD pipelines, and release processes.
• Drive measurable improvements in product quality, release confidence, and defect reduction.

• Collaborate closely with Product, Engineering, SRE, and Support teams to align on quality goals and priorities.
• Influence roadmap decisions by bringing data-driven insights on risk, coverage, and quality gaps.
• Act as a thought leader in modern QA practices, tooling, and methodologies.
• Foster a collaborative, high-performing team culture focused on ownership, accountability, and continuous improvement.
• Hire and retain high-quality engineering talent through high contact, regular reviews, and career development planning.
• Establish and track key quality metrics (e.g., defect rates, test coverage, release health).
• Drive operational rigor in planning, execution, and delivery across teams.
• Improve scalability and efficiency of QA processes in a fast-paced, evolving environment.

Required Qualifications

• Bachelor’s degree in Computer Science or related technical field (or equivalent experience).
• 6+ years of experience in software quality engineering or software development. 
• 2+ years of experience managing or leading engineering or QA teams.
• Strong understanding of modern SDLC practices, CI/CD, and Agile methodologies.
• Demonstrated ability to operate at both strategic and tactical levels; driving automation strategy and framework development at scale.
• Experience influencing cross-functional stakeholders and driving alignment across teams.
• Strong technical foundation with the ability to engage in architectural discussions and trade-offs.

Preferred Qualifications

• Experience with automation and orchestration in large-scale distributed systems (AWS, Azure, etc.).
• Familiarity with API and UI testing frameworks (e.g., Python, Selenium, BDD/Behave).
• Background in networking, security, or data-intensive systems.
• Experience building or scaling QA functions in high-growth or enterprise environments.

The salary range for this role is $170,00 - $180,000 + bonus + benefits 

Software Engineer, Security Engineering

Team: IT, Security, and Corporate Engineering
Location: Seattle, Washington 

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

Our Security Engineering team is building intelligent systems that protect Opendoor and our customers while enabling unprecedented engineering velocity. We apply software engineering and AI to solve security problems across product, infrastructure, and operations by building guardrails where they matter, not gates where they don't.

What You'll Do

• Build systems and AI agents that harden infrastructure, protect sensitive data, and facilitate safe transactions for home acquisition, resale, mortgage, title, and escrow.
• Design workflows and CI/CD pipelines that enable engineers and non-engineers alike to design, build, and ship safely.
• Set new standards and security patterns for AI maximalist engineering and operations.
• Apply deep expertise in threat modeling and risk management to understand and enable complex business operations.
• Mentor engineers and colleagues in security, software engineering, and AI.

Tech Stack

• Languages: Python, Go, Ruby, Terraform
• Corporate Platforms: Okta, AWS, Google Workspace, Slack, Jamf, CrowdStrike
• Engineering: AWS, GitHub, CI/CD pipelines, Infrastructure as Code (Terraform)
• AI Tools: Claude, OpenAI, agent frameworks, workflow automation

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to replace developer toil and reactive firefighting with automated systems and guardrails.
• Business enablement security mindset - measuring security success by business impact, which means informed risk taking.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages.
• Expertise in cloud security architecture, Kubernetes, container orchestration, and identity management.
• Humility and genuine curiosity—you're as excited to learn and enable the business and your colleagues as you are to utilize cutting edge tools and techniques in security and AI.

Bonus Points For

• Incident response training and experience.
• M.S. in Computer Science or security-focused graduate work.

Compensation

The base pay range for this position in Seattle is $214,000 - $294,000 USD annually and in Toronto it is $177,000-243,000 CAD, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

About the role

We are seeking an experienced Finance Systems Integration Engineer to support our finance systems transformation at one of the fastest-growing AI companies. You'll design and build integrations connecting our ERP platform with critical financial applications and support our ERP implementation initiatives. As you master our integration landscape, you'll have opportunities to expand into Claude-powered AI automation and data pipeline development.

You'll build the integration backbone for one of the fastest-growing AI companies, with a front-row seat to how Claude transforms financial operations. This is a foundational role where you'll shape our integration architecture from the ground up, then expand into cutting-edge AI automation as our needs evolve. You'll work alongside teams building frontier AI systems while directly applying that technology to solve real financial operations challenges.

In this role you will:

Core Focus: Integration Development & ERP Support

• Design, build, and maintain integrations connecting ERP systems with downstream applications including ZipHQ, Brex, Navan, Clearwater, Payroll systems, Salesforce, and other critical financial platforms using Workato, MuleSoft, or similar iPaaS solutions
• Support integration development and testing during the ERP implementation projects 
• Develop and maintain REST APIs, webhooks, and OAuth 2.0 authentication flows for secure system-to-system communication
• Implement real-time and batch integration patterns supporting high-volume financial transactions
• Establish monitoring, alerting, and error-handling frameworks to ensure integration reliability and data integrity
• Document integration architectures, data flows, API specifications, and troubleshooting procedures
• Collaborate with implementation consulting partners and vendors on technical integration requirements

Additional Scope:  AI Automation & Data Infrastructure

As you master our integration landscape, you'll have opportunities to expand into:

AI Agent Development

• Build and deploy Claude-powered AI agents that automate financial operations including intelligent document processing, workflow automation, financial audit and reconciliations, and self-service reporting
• Design agentic workflows that leverage Claude API capabilities integrated with ERP platform data and processes
• Create automated validation and quality assurance processes for AI-generated outputs
• Partner with Finance teams to identify automation opportunities and translate requirements into AI agent solutions

Data Pipeline Support

• Support data pipeline development using Airflow for workflow orchestration and dbt for data transformation
• Build and maintain data flows from ERP and other financial systems into BigQuery for analytics and reporting
• Implement data quality checks and testing frameworks for financial data pipelines
• Collaborate with Data Infrastructure team on pipeline architecture, performance optimization, and security monitoring
• Support executive dashboards and financial analytics by ensuring timely, accurate data delivery

Governance & Collaboration

• Maintain comprehensive documentation for integrations, AI agents, and data pipelines
• Support internal and external audits with technical evidence and system access reviews
• Collaborate with Finance Systems Engineers on operational support, troubleshooting, and enhancement requests
• Partner with Finance Operations, Accounting, FP&A, Engineering, and Data Infrastructure teams to deliver holistic solutions

You may be a good fit if you:

• Have 8+ years of experience in integration development, data engineering, or systems engineering roles
• Possess hands-on experience with iPaaS platforms such as Workato, MuleSoft, Dell Boomi, or similar integration tools
• Have strong programming skills in Python and/or JavaScript/TypeScript for building custom integrations, APIs, and automation scripts
• Demonstrate experience with data pipeline tools including Airflow for orchestration and dbt for transformation
• Have working knowledge of cloud data platforms such as BigQuery, Snowflake, or Databricks
• Understand REST API design patterns, webhooks, OAuth 2.0, and modern integration architectures
• Have familiarity with ERP systems (Oracle Fusion, Workday Financials, or similar) and financial business processes
• Possess strong problem-solving skills with ability to debug complex integration issues across multiple systems
• Thrive in a fast-paced, high-growth environment balancing innovation with operational stability
• Have excellent communication skills to collaborate with technical and business stakeholders

Strong candidates may also have:

• Experience with high-growth technology companies scaling through rapid revenue expansion (5x-10x growth) 
• Background in AI/ML companies with familiarity in modern SaaS business models including consumption-based pricing, usage metering platforms, and marketplace billing
• Hands-on experience with specific platforms: Workday Financials (Workday Studio, EIB, custom reports, Prism Analytics)
• Technical expertise with modern finance tech stack including Stripe, Salesforce, Zuora RevPro, Zip Procurement, Clearwater treasury systems, Pigment planning tools, Numeric close management
• Programming skills in Python / JavaScript, or similar languages for building custom integrations, APIs, and automation scripts
• Experience with AI/LLM integration for financial operations, including document processing, data extraction, intelligent automation, and agentic workflows (familiarity with Claude models and API is a plus)
• Hands-on experience with modern data stack tools: BigQuery/Snowflake/Databricks, dbt for data transformation, Airflow for workflow orchestration
• Professional certifications such as Workato, Workday integrations, or relevant technical credentials
• Bachelor's or Master's degree in Computer Science, Information Systems, Accounting, Finance, Engineering, or related technical/business field
• Experience with business intelligence and financial reporting tools (Hex, Looker, Tableau, Power BI) for executive dashboards and financial analytics

Team Introduction

Our data science team sits at the center of a growing company, building the models, tools, and analytical infrastructure that power how Possible makes decisions, monitors risk, and operates with rigor at scale. We are seeking a Data Scientist to work at the intersection of analytics, model governance, and internal tooling – growing our capacity to support the teams and systems that help Possible move fast and make good decisions.

The Role

You will own a structured framework to evaluate new data sources and modeling techniques. Your analyses will include clear assumptions that guide our data vendor budget and investment decisions. You will build out model monitoring and governance infrastructure — turning it from a reactive compliance exercise into a proactive utility. Working cross-functionally, you'll collaborate with internal teams to develop analytical tools and automations that ease bottlenecks. This enables other teams to access data independently and find answers without relying on advanced analytics repeatedly.

What You'll Bring

Must-Have

• 2–4 years of hands-on experience in data science or analytics
• Strong Python and SQL skills for analysis and automation
• Proven statistical foundation: you can frame a hypothesis, develop a meticulous test, and communicate results — including their limitations — to non-technical partners
• Strong data visualization skills
• A service mentality: you build things people actually use, you get happiness from unblocking others, and you know how to balance rigor with shipping

Preferred

• Background in consumer finance or credit risk
• Experience with model governance or model validation
• Experience with AI or LLM platforms in an applied context
• Track record supporting cross-functional teams with analytical work
• Testing or QA mentality — validating that what was built does what it should

Nice-to-Have

• Experience with dbt or Airflow
• Dashboard design and management experience

This is a hybrid position with a shared in-office schedule of Monday, Tuesday, and Thursday. Our office is centrally located in downtown Seattle.

The compensation range for this role is $161,000 to $175,000. In addition to base salary, We also offer significant stock options, comprehensive benefits, a bonus plan, commuter benefits, and an excellent office space with complimentary drinks and food options.

ABOUT THIS OPPORTUNITY

onX is seeking an experienced Product Content Data Operations Leader to build and scale the systems, processes, and teams that power how product content moves from source to customer experience.

At onX, “content” refers to the structured, semi-structured, and unstructured data that powers our products—such as mapping, geospatial,  land ownership, trails, access points, recreation information, and other adventure-relevant datasets that help people navigate and understand the outdoors.

This leader will own the operational backbone of product content: the workflows, tools, governance, and quality systems that ensure content is sourced, processed, validated, and delivered reliably into our products.

This role is responsible for defining and scaling the content operations model and content programs for the company, partnering closely with Product, Engineering, and Data teams to ensure that our content systems are efficient, scalable, and aligned with the needs of the product roadmap.

The ideal candidate brings deep experience managing large content or data ecosystems within technology products. They understand how operational rigor, automation, and strong governance unlock faster product innovation while maintaining data quality and trust.   They also have an understanding of how mapping and geospatial data work and can power the product experience.

This role will also play a key role in evolving how we incorporate automation, AI, and potentially community-driven data into our content pipeline over time.

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

Own the operational system for product content

• Define and lead the operational strategy for how product content is sourced, processed, validated, and delivered into onX products.
• Establish scalable workflows, governance models, prioritization frameworks, and operational frameworks that support content quality, reliability, and speed to product.

Build and lead the content operations organization

• Lead and develop a team responsible for content operations and business processes, including content analysts, curation specialists, and quality reviewers.
• Build organizational structure, capabilities, and operating rhythms that support scale and operational excellence.

Design scalable content platforms and processes

• Partner with Engineering and Data Engineering to design and evolve systems for content ingestion, processing, transformation, and delivery.
• Ensure that content workflows integrate cleanly with product development and release cycles.

Drive operational rigor and quality

• Define content quality standards, validation processes, and governance models that maintain trust in onX data.
• Implement monitoring, reporting, and feedback loops to ensure content readiness and product reliability.

Scale content operations through automation and AI

• Identify opportunities to automate manual workflows across ingestion, tagging, validation, and review.
• Understand leveraging AI and machine learning tools to improve efficiency, data quality, and operational scalability.

Enable new product experiences through content

• Collaborate with Product and Engineering leaders to translate emerging content opportunities into scalable operational systems.
• Ensure the content ecosystem supports evolving product capabilities and new customer experiences.

Evolve the company’s proprietary data programs

• Oversee programs that contribute to onX’s proprietary content advantage, including partnerships, datasets, and emerging content sources.
• Explore opportunities to incorporate community or user-generated data into the content ecosystem in a structured and scalable way.

Measure and continuously improve the system

• Define and track operational metrics related to content throughput, quality, coverage, and reliability.
• Use data and user insights to continuously refine content workflows and operational performance

• Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.

WHAT YOU’LL BRING

• 12+ years of operations leadership experience, including 4+ years driving content operations, data operations, and process management, and 5+ years leading and managing teams within scaling technology organizations.
• Experience working with data-intensive products.
• Demonstrated success in implementing BPM frameworks and continuous improvement methodologies.
• Experience with workflow management systems, content curation and review platforms, data QA tools, and automation and AI solutions.
• A strong curiosity for exploring new technologies, including AI
• A shared passion for and ability to demonstrate onX’s Company Values.
• Permanent US work authorization is a condition of employment with onX.
• Ability to travel 6+ times annually for multiple days to a corporate office or other onX strategic location, such as a Basecamp. 

ADDED BONUSES

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

• Master's degree or equivalent experience.
• Familiarity with geospatial principles and spatial databases
• Experience with multi-platform content delivery (web, mobile, app).
• Experience within the outdoors or location-based services industry.
• Familiarity with AI/ML tools for content tagging, validation, or automation.
• Experience managing user-generated content or community-driven datasets.

THE ONX EXPERIENCE

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

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

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

WHERE YOU CAN WORK

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

HOW YOU’LL BE COMPENSATED

onX is committed to compensating all employees fairly and equitably for their contributions. Applicants can expect to make between $180,000 to $224,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

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

PERFORMANCE ESSENTIALS

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

Position open until filled. 

#LI-Remote

Software Engineer – Backend, Pricing (Senior level or higher)

Toronto

About the Team

The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business.

We own mission-critical services and data infrastructure that support pricing decisions and automation. Our systems must be fast, accurate, and resilient—because small improvements can translate into major business impact.

As a software engineer on the team, you’ll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient, production-ready systems. You’ll see your work move from design to deployment quickly and have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.

What You’ll Do

• Own the design, implementation, and evolution of core pricing services
• Design data models and write high-performance SQL over large PostgreSQL datasets
• Architect and improve APIs and integrations with Opendoor’s core marketplace platform
• Lead technical design reviews and set best practices for code quality, testing, and observability
• Partner with data science to productionize pricing models and build robust model-serving pipelines
• Drive reliability, latency, and scalability improvements across pricing systems
• Mentor other engineers and help grow the technical capabilities of the team
• Collaborate with product and cross-functional partners to define and deliver roadmap projects end to end

What You’ll Need

• 5+ years of professional backend software engineering experience
• Significant experience building and operating production systems in Go or Python
• Deep proficiency with SQL and relational databases (PostgreSQL preferred)
• Strong track record designing, building, and evolving APIs in a microservices environment
• Experience with distributed systems concepts (scalability, consistency, resiliency, monitoring)
• Experience leading technical projects from design through rollout and support
• Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders

Nice to Have

• Experience with Kafka or similar event-streaming technologies
• Experience using AI-assisted development tools (e.g. Claude Code, Cursor AI, Github Copilot)
• Experience with BPMN or other workflow engines and long-running business processes
• Experience with Redis or other caching / storage optimization technologies
• Experience with gRPC and service-to-service communication patterns at scale
• Prior experience in pricing, marketplaces, or other data-intensive domains

Compensation

Compensation range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-DM

Software Engineer – Backend, Pricing (Senior level or higher)

Seattle, WA

About the Team

The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business.

We own mission-critical services and data infrastructure that support pricing decisions and automation. Our systems must be fast, accurate, and resilient—because small improvements can translate into major business impact.

As a software engineer on the team, you’ll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient, production-ready systems. You’ll see your work move from design to deployment quickly and have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.

What You’ll Do

• Own the design, implementation, and evolution of core pricing services
• Design data models and write high-performance SQL over large PostgreSQL datasets
• Architect and improve APIs and integrations with Opendoor’s core marketplace platform
• Lead technical design reviews and set best practices for code quality, testing, and observability
• Partner with data science to productionize pricing models and build robust model-serving pipelines
• Drive reliability, latency, and scalability improvements across pricing systems
• Mentor other engineers and help grow the technical capabilities of the team
• Collaborate with product and cross-functional partners to define and deliver roadmap projects end to end

What You’ll Need

• 5+ years of professional backend software engineering experience
• Significant experience building and operating production systems in Go or Python
• Deep proficiency with SQL and relational databases (PostgreSQL preferred)
• Strong track record designing, building, and evolving APIs in a microservices environment
• Experience with distributed systems concepts (scalability, consistency, resiliency, monitoring)
• Experience leading technical projects from design through rollout and support
• Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders

Nice to Have

• Experience with Kafka or similar event-streaming technologies
• Experience using AI-assisted development tools (e.g. Claude Code, Cursor AI, Github Copilot)
• Experience with BPMN or other workflow engines and long-running business processes
• Experience with Redis or other caching / storage optimization technologies
• Experience with gRPC and service-to-service communication patterns at scale
• Prior experience in pricing, marketplaces, or other data-intensive domains

Compensation

The base pay range for this position is $176,000-$282,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

Software Engineer, Financial Systems

Team: IT, Security, and Corporate Engineering
Location: Seattle, Washington

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

We are eliminating the manual work that slows down operations.  We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention.  You’ll architect the systems that power thousands of real estate transactions monthly with audit-ready precision while enabling Finance to move fast and operate efficiently.

What You'll Do

• Build intelligent automation that eliminates manual financial workflows, from journal entries to reconciliations to month-end close processes, using AI agents and workflow orchestration.
• Design and own integrations connecting enterprise resource planning (ERP), spend management, banking, and data warehouse systems that power real-time financial operations.
• Partner with Finance, Procurement, Accounting, Accounts Payable and Capital Markets stakeholders to understand their workflows, identify automation opportunities, and deliver software solutions that increase their speed and efficiency.
• Implement observability, monitoring, and reliability practices for production financial data systems that process millions of transactions daily.
• Apply software engineering best practices (CI/CD, Infrastructure as Code, automated testing, code review) to financial systems traditionally managed through manual configuration.

Tech Stack

• Financial Platforms: NetSuite (ERP), Ramp (spend management), bank APIs
• Data & Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight
• Languages: Python, Go, SQL, TypeScript/Node.js
• Infrastructure: AWS, Terraform, Docker, GitHub Actions
• AI & Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to eliminate manual work by replacing spreadsheets and close processes with automated systems.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages, including API design, systems integration, and automation.
• Experience with modern data platforms (Snowflake or similar), SQL, and building reliable data pipelines.
• Strong experience with cloud platforms (AWS preferred) including CI/CD, Infrastructure as Code, and running production services.
• Proven problem-solving ability to understand complex business workflows, identify automation opportunities, and design elegant technical solutions
• Humility and genuine curiosity. You're as excited to automate journal entries as you are to architect distributed systems, and you see eliminating mundane work as deeply meaningful engineering. You genuinely enjoy understanding user needs, partnering with non-technical stakeholders, and building software that makes their work easier.

Bonus Points For

• Experience with financial/ERP systems (NetSuite, Oracle, SAP, Workday) or fintech platforms.
• Understanding of financial concepts (General Ledger, Accounts Payable, month-end close, Sarbanes-Oxley controls).
• Track record building AI-powered automation, workflow orchestration, or internal tools.
• M.S. in Computer Science.

Compensation

The base pay range for this position is $198,000 - $271,000 USD annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

Software Engineer, Security Engineering

Team: IT, Security, and Corporate Engineering
Location: Toronto, Ontario

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

Our Security Engineering team is building intelligent systems that protect Opendoor and our customers while enabling unprecedented engineering velocity. We apply software engineering and AI to solve security problems across product, infrastructure, and operations by building guardrails where they matter, not gates where they don't.

What You'll Do

• Build systems and AI agents that harden infrastructure, protect sensitive data, and facilitate safe transactions for home acquisition, resale, mortgage, title, and escrow.
• Design workflows and CI/CD pipelines that enable engineers and non-engineers alike to design, build, and ship safely.
• Set new standards and security patterns for AI maximalist engineering and operations.
• Apply deep expertise in threat modeling and risk management to understand and enable complex business operations.
• Mentor engineers and colleagues in security, software engineering, and AI.

Tech Stack

• Languages: Python, Go, Ruby, Terraform
• Corporate Platforms: Okta, AWS, Google Workspace, Slack, Jamf, CrowdStrike
• Engineering: AWS, GitHub, CI/CD pipelines, Infrastructure as Code (Terraform)
• AI Tools: Claude, OpenAI, agent frameworks, workflow automation

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to replace developer toil and reactive firefighting with automated systems and guardrails.
• Business enablement security mindset - measuring security success by business impact, which means informed risk taking.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages.
• Expertise in cloud security architecture, Kubernetes, container orchestration, and identity management.
• Humility and genuine curiosity—you're as excited to learn and enable the business and your colleagues as you are to utilize cutting edge tools and techniques in security and AI.

Bonus Points For

• Incident response training and experience.
• M.S. in Computer Science or security-focused graduate work.

Compensation

The base pay range for this position in Seattle is $214,000 - $294,000 USD annually and in Toronto it is $177,000-243,000 CAD, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

Software Engineer ML Ops, Pricing (Senior)

Seattle, WA

About the Team & Role

The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business. Our services and data infrastructure are mission-critical to pricing decisions and automation, and they must be fast, accurate, and resilient—because even small improvements can drive major business impact.

We’re looking for a senior-level Software Engineer to join our Pricing & ML team, leading the design and evolution of the platform and tooling that productionize the machine learning models behind our pricing engine. This role is ideal for an engineer who enjoys working close to data and models, has meaningful experience with ML workflows, and wants to shape technical direction as well as ship high-impact systems. Our models are pragmatic and straightforward—we prioritize value, reliability, and iteration speed over complex research systems.

In this role, you’ll work side-by-side with backend software engineers, data scientists, ML engineers, product managers, and partner engineering and operations teams to turn prototypes and ideas into robust, scalable, and observable production systems. You’ll own high-impact initiatives end-to-end, mentor other engineers, and have significant influence over how our pricing platform evolves and how we shape the future of real estate.

What You’ll Do

• Lead the design and implementation of services, tooling, and workflows that enable reliable training, deployment, and monitoring of pricing and ML models
• Work closely with researchers and analysts to convert model prototypes into clean, testable, production-ready Python code and systems
• Own and operate model pipelines end-to-end — including data ingestion, training, validation, versioning, deployment, and monitoring
• Design and maintain workflows that support the full ML lifecycle: experimentation, training, evaluation, deployment, and iteration
• Develop and optimize data access patterns and SQL queries over large, complex datasets
• Implement robust automation for key ML lifecycle workflows (e.g., scheduled retraining, rollbacks, A/B tests, canary releases)
• Drive improvements in reliability, observability, performance, and cost-efficiency across ML pipelines and model-serving environments
• Proactively address real-world challenges like data drift, model decay, and changing market conditions in the real estate domain
• Contribute to and help define shared ML infrastructure, patterns, and best practices across the Pricing & ML team
• Lead code reviews and technical design discussions; mentor and support other engineers on ML-adjacent work
• Participate in and help improve on-call and incident response processes for ML systems

What You’ll Need

• 8+ years of experience in software engineering or 6 Years with a Masters or ML engineering, including substantial work with ML-adjacent or production ML workflows
• Strong proficiency in Python, with a track record of writing maintainable, modular, and well-tested production code
• Solid experience working with SQL (queries, joins, indexing, and performance optimization)
• Proven experience owning and operating data pipelines and/or model training/serving pipelines in production or high-stakes environments
• Deep familiarity with the end-to-end ML lifecycle (training, evaluation, deployment, monitoring, and iteration)
• Demonstrated ability to make and communicate technical design decisions and tradeoffs across multiple stakeholders
• Strong collaboration and communication skills, especially when working with data scientists, researchers, and cross-functional partners
• A bias toward impact, learning, and pragmatic solutions in a fast-moving, high-stakes domain

Focus:

•  - ML infrastructure and operations rather than model research.
•  - Building, deploying, and maintaining ML pipelines and systems.
•  - All roles are expected to be hands-on coding roles.
•  - All MLOps roles are expected to be Seattle-based.

Nice to Have

• Experience working on ML systems in business-critical environments (e.g., pricing, forecasting, logistics, marketplaces, risk)
• Familiarity with ML ops concepts and tools (e.g., model serving frameworks, feature stores, experiment tracking, model registries)
• Experience with tools such as MLflow, Airflow, Spark, or Delta Lake
• Experience monitoring model performance in production (e.g., drift detection, quality alerts, dashboards)
• Experience with streaming / event-driven systems (e.g., Kafka) or scheduling/orchestration tools
• Comfort working in a Linux-based, cloud-hosted environment (e.g., AWS)
• Interest in real estate or other messy, high-stakes domains with imperfect data

The base pay range for this position is $205,000 - $281,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience.  We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

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