As a principal engineer on the Online Systems team, you’ll join a team that powers Pinterest’s most business-critical online systems at massive scale, driving the reliability, efficiency, and evolution behind every core Pinner and Advertiser experience. You'll lead major efforts like multi-region deployment and Kubernetes migration, set the standard for operational excellence, and define the long-term vision for our online serving infrastructure, supporting machine learning and product innovation across the company. This is an opportunity for high-impact technical leadership, broad visibility, and cross-functional influence at the heart of Pinterest’s platform.

What you’ll do: 

• Improve reliability, scalability and infra efficiency for Pinterest’s critical online systems across storage and caching, online service and realtime analytics systems to support continued business growth.
• Lead cross-functional strategic initiatives to modernize Pinterest’s online serving stack through multi-region deployment, Kubernetes migration, and the adoption of cutting-edge technologies and industry best practices.
• Quality champion for online systems and the broad engineering organization, holding a high bar on execution quality and operational excellence.
• Drive the online systems vision and strategy for the next 3 years and beyond, and translate that strategy into cross-functional roadmaps with measurable outcomes.
• Foster a diverse and inclusive engineering culture that makes all feel welcome, and invest in mentorship, critical thinking, and candid feedback to strengthen individual and organizational growth.
  
  

What we’re looking for:

• 12+ years of software engineering experience with deep expertise in distributed systems, especially online serving, storage, and caching systems: hands-on experience building and operating highly available, reliable, production-grade systems at large scale; strong technical judgment in reliability, scalability, performance, and infrastructure efficiency; proficiency in at least one of C++, Java, or Python.
• Proven track record driving large-scale technical impact: experience leading reliability and scalability improvements, cost efficiency initiatives, and modernization efforts across critical production systems; able to define technical strategy, influence architecture decisions, and drive execution through cross-functional collaboration, strong communication, and operational excellence.
• Strong ownership, quality mindset, and thoughtful use of AI: demonstrates high standards for engineering quality, integrity, and accountability for final outcomes; able to use AI to accelerate analysis, debugging, design exploration, or operational workflows while applying critical thinking, validating correctness, and maintaining sound technical judgment rather than outsourcing ownership to tools.
• Exceptional collaboration skills with cross-functional partners, with the ability to navigate ambiguity, make tradeoffs, and keep stakeholders aligned on priorities and progress.
• Bachelor’s degree in Computer Science, a related technical field, or equivalent experience.
  
  

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: 

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore needs to be in a commutable distance from one of the following offices: PA or SF offices.

#LI-HYBRID

#LI-CL5

We’re looking for a Principal Engineer to drive the technical direction and architecture of Platform-as-a-Service (PaaS) at DigitalOcean. Our mission is to make deploying, scaling, and managing applications as simple and seamless as possible for developers around the world—from first deploy to internet scale.

As a Principal Engineer on the PaaS team, you’ll play a key role in designing and building the next generation of cloud-native services such as App Platform, Functions, and CI/CD. You’ll architect systems that power our global infrastructure, partner closely with engineering and product teams across the company, and mentor engineers to level up the entire organization. This is a unique opportunity to shape how developers build and ship software on a platform purpose-built for simplicity and scale.

We’re looking for someone who can span technical strategy and hands-on execution—someone who thrives on solving complex distributed problems and multiplying the impact of everyone around them.

What You’ll Do:

• Architect and guide the implementation of high-scale, reliable, and secure systems that underpin our PaaS offerings.
• Drive technical direction and make foundational decisions on system design, scalability, observability, and developer experience.
• Partner with product managers and engineering leadership to define short- and long-term roadmap priorities.
• Identify platform bottlenecks, inefficiencies, and future risks—and design solutions that proactively address them.
• Collaborate across teams to ensure seamless integration between platform services, infrastructure, and developer tools.
• Mentor engineers at all levels and contribute to a culture of technical excellence, inclusivity, and impact.
• Stay ahead of emerging technologies, patterns, and best practices in the PaaS, serverless, and cloud-native ecosystem.

Key Metrics:

• Platform availability and system performance
• Developer adoption and satisfaction
• Technical debt reduction and architectural clarity
• Engineering velocity and cross-team alignment

What You’ll Add to DigitalOcean:

• 11+ years of experience designing and building distributed systems at scale.
• Expertise in one or more backend languages (e.g., Go, Python, C++, Java) and strong fundamentals in systems architecture and infrastructure.
• Proven experience leading the design of large-scale services used by 1000s (or millions) of customers.
• Passion for mentoring and elevating those around you—technical leadership is about multiplying impact.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

JR: 2025-7225

#LI-Remote

#LI-SK1 

About the Role

We are looking for a principal engineer to join our Streaming Systems team, leading work on the high-throughput systems that collect, forward, and perform realtime computation on billions of behavioral events from our customer’s users. You'll be building the infrastructure that ingests clickstream, product interaction, and transactional data into our platform. This data is the platform for our “Cursor for Marketers” AI agent product.

Our streaming products’ revenue has 10x’d over the past year, and we need to ensure that we continue to scale. Our infrastructure needs to handle millions of messages per second at single second latency end to end. Recently, we added a computation engine that allows personalizing user experiences in real-time based on live behavior; we’re seeing 7-figure market response in the first few months and need to scale up to meet demand.

We are building new products from scratch, so we need someone who enjoys greenfield work and leading other engineers. Some of the problems you’d work on include:

1. Preserving <1s end to end system latency at throughput over 1,000,000 messages / second.
2. Improving caching strategies for our online computation service
3. Architecting a system that can deduplicate message delivery at 1,000,000 messages / second.
4. Patterns for elegant and zero-downtime deployments in our online computation service

We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. You will own and deliver projects from start to finish, work directly with customers to solve their hardest scaling problems, and have significant influence over our technical roadmap.

The base salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. A large portion of the compensation will be in the form of equity via ISO options. We offer early exercise and a 10 year post-termination exercise window.

About You

• You are an experienced engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment. You have experience leading highly complex and ambitious projects, and want to mentor and up level engineers around you.
• You have experience architecting, building, deploying, and maintaining distributed systems at scale, and can broadcast and encourage technical excellence in doing so.
• You have opinions about how engineering should be done, and want to help scale a rapidly growing engineering team.

Interview Process

Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.

• Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute!
• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
• System Design Screen [45m]: Designing a data processing feature end-to-end.
• Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
• System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.
• Execution and Impact [60m]: Pick a project you lead and prepare to give the interviewer a walk through. Then deep dive and answer questions about the project execution and how you lead it.

We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.

#LI-DNP

Job Description: Distinguished Engineer, Enterprise AI 

About Scale AI

Our mission is to develop reliable AI systems for the world's most important decisions. The Enterprise AI business delivers performant, reliable, and production-grade AI applications to enterprises across all industries by providing Generative AI expertise and infrastructure.

The Role

We’re seeking a Distinguished Engineer - a hands-on technical leader operating at the VP level - to shape the vision and technical roadmap of our core AI/ML infrastructure that powers enterprise AI applications. Reporting directly to the SVP of Engineering, Enterprise AI, this individual will drive long-term technical direction for our Scale GenerativeAI Platform (SGP), influence architectural decisions across the company, and partner closely with engineering and product leaders to bring advanced AI capabilities to enterprise customers.

You’ll serve as a cross-organizational thought leader - setting standards for technical excellence, mentoring senior engineers, and ensuring our systems and models meet the demands of global-scale deployment. This is a rare opportunity to influence both foundational AI infrastructure and the enterprise AI applications built on top of it.

Responsibilities

• Define and drive the technical strategy for Scale’s AI/ML infrastructure and SGP platform, balancing short and long-term investments.
• Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems.
• Lead architecture and design reviews across multiple teams, ensuring technical consistency and innovation.
• Serve as a trusted advisor and mentor to principal engineers and technical leads across the organization.
• Evaluate and integrate emerging technologies in AI, distributed systems, and data infrastructure to keep Scale at the frontier of innovation.
• Represent Scale externally in the AI community - through speaking engagements, partnerships, and thought leadership.
• Drive technical execution and accountability for critical cross-functional initiatives that advance Scale’s enterprise AI capabilities.

Qualifications

• 15+ years of experience as a technical software engineering leader.
• Proven record of technical leadership at AI-native companies, hyperscalers, or equivalent high-scale environments.
• Deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation and their application to real-world problems; experience with GenAI preferred.
• Demonstrated success in setting technical vision and leading cross-organizational initiatives with measurable business impact.
• Experience influencing and mentoring engineering teams in complex, matrixed environments.
• Ability to communicate and collaborate effectively to create a shared sense of vision or purpose cross-team and cross-functionality.
• Advanced degree in Computer Science, Engineering, or related field preferred but not required.

Culture & Impact

At Scale, we believe that AI should amplify human potential - and our engineering culture reflects that belief. Our teams operate at the intersection of innovation, rigor, and impact, solving some of the hardest problems in AI infrastructure and deployment.

The Distinguished Engineer will play a key role in shaping how AI systems are built, deployed, and governed within enterprise environments. This role represents the highest bar of technical excellence at Scale - a trusted voice in setting direction, enabling innovation, and ensuring that our technology scales responsibly and effectively to meet the evolving needs of our customers.

You’ll have the opportunity to influence company-wide strategy, contribute to industry-leading work in generative AI infrastructure, and mentor the next generation of engineering talent pushing the boundaries of what’s possible with AI.

Scale plays a critical role in powering the next generation of AI applications across the enterprise. As our customer base grows exponentially, Principal Solutions Engineers operate as senior technical leaders on the front lines—shaping how the world’s most innovative companies adopt, deploy, and scale AI with Scale.

Principal Solutions Engineers are trusted advisors to both customers and internal stakeholders, owning the most complex and high-impact opportunities. They partner closely with Sales, Product, and Engineering leadership to drive technical strategy, secure executive alignment, and deliver differentiated solutions that win and expand strategic accounts. Beyond individual deals, they influence product direction, define best practices, and elevate the capabilities of the broader Solutions Engineering organization.

You will:

• Own technical strategy and execution for the company’s most complex, high-value enterprise opportunities, acting as the ultimate arbiter of the “technical win”
• Serve as a trusted advisor to executive stakeholders (CTOs, Heads of AI, Engineering leaders), guiding long-term AI/LLM adoption strategies
• Architect and lead end-to-end solution design, from discovery through pilots and productionization, across ambiguous and evolving customer requirements
• Drive cross-functional alignment across Sales, Product, and Engineering to unblock critical technical and business challenges
• Define and shape large, multi-phase Scopes of Work, translating ambiguous customer problems into scalable, production-ready solutions
• Lead high-impact customer engagements, including executive presentations, technical deep dives, and workshops
• Influence Scale’s product roadmap by synthesizing customer insights and advocating for high-leverage feature development
• Mentor and elevate other Solutions Engineers, establishing best practices across demos, pilots, and technical sales strategy
• Drive org-level initiatives that improve win rates, shorten sales cycles, and increase the scalability of the Solutions Engineering function

Ideally, you'd have:

• Deep technical background with significant experience in customer-facing engineering roles (pre-sales, forward-deployed, or post-sales) at enterprise scale
• Proven track record of owning and closing complex, multi-stakeholder technical deals with Fortune 500 or equivalent enterprises
• Strong systems thinking and architecture experience across cloud, data, and AI/ML systems
• Hands-on experience with programming languages such as Python, Java, or similar, with the ability to prototype and validate solutions when needed
• Experience operating as a senior technical advisor to executive stakeholders, with strong presence and credibility
• Demonstrated ability to navigate ambiguity, influence without authority, and drive alignment across diverse teams
• Exceptional communication skills, with the ability to translate between business, product, and technical audiences
• High degree of ownership, intellectual curiosity, and bias for action in fast-paced, ambiguous environments

Nice to haves:

• Deep experience with Generative AI / LLM applications in enterprise environments
• Background in forward-deployed engineering or building production-grade ML systems
• Experience in regulated industries such as financial services, insurance, or healthcare

The role 

Nebius is building the cloud infrastructure that will power the next generation of Physical AI—robotics, autonomous systems, simulation/world models, and embodied intelligence operating in the real world.

The Field CTO for Physical AI & Robotics is a senior technical leadership role responsible for converting raw market demand into a scalable, domain-specific platform. You will own the technical product strategy, ensuring Nebius evolves its capabilities to support the unique demands of Physical AI workloads. Operating at the intersection of deep customer engagement and platform engineering, you will serve as a principal technical partner in strategic opportunities—engaging directly with customer CTOs to map Nebius’ existing capabilities to their immediate needs to help close complex deals. You will not only identify customer challenges but also architect the solution patterns that solve them for the entire market.

This is a definitive "Zero to One" opportunity to define a new category of cloud infrastructure from the ground up.

You’re welcome to work remotely from the Unites States (SF Bay Area, CA & Austin, TX Preferred)

Your responsibilities will include: 

• Executive Technical Leadership: Serve as the external "CTO" face of Nebius to Physical AI customers, partners, and ecosystem stakeholders, building trust with executive peers.
• Lighthouse Deal Support: Partner with Sales leadership to close strategic "company-making" deals by leading architectural workshops and aligning technical roadmaps with customer goals.
• Technical Product Strategy: Translate bespoke customer needs into clear, scalable technical and product requirements for Nebius product, engineering, and infrastructure teams.
• Field Enablement: Act as a force multiplier for the sales organization by creating the technical narrative, reference architectures, and training materials needed to upskill Field SAs and Sellers.
• Cross-Functional Alignment: Drive alignment across Product, Engineering, Infrastructure, and GTM teams, ensuring the internal roadmap reflects the reality of the market.
• Architectural Guidance: Provide architectural guidance to help customers maximize value from Nebius services, while identifying the necessary "primitives" required to support end-to-end robotics workflows.
• Pattern Recognition: Identify recurring customer pain points across robotics, simulation, and data pipelines to surface gaps in existing offerings and influence roadmap decisions.
• Ecosystem & M&A: Partner with ecosystem vendors (simulation platforms, robotics frameworks) to identify integration opportunities and evaluate potential technical M&A targets.
• Feedback Loops: Maintain structured internal feedback loops to ensure customer learnings are tracked, communicated, and acted upon by R&D. 

We expect you to have: 

• 10+ years of experience in cloud infrastructure, platform engineering, or distributed systems.
• 5+ years of experience in AI, HPC, and/or robotics, with exposure to production or large-scale systems.
• Prior experience in a senior technical leadership role (e.g., Field CTO, Head of Engineering, Principal Architect, or Distinguished Engineer).
• Dual-Competency: You are equally comfortable drawing a distributed system architecture on a whiteboard for engineers and explaining the business value of that architecture to a CEO.
• GTM Fluency: Experience partnering with Sales teams to close large-scale enterprise deals and enabling field teams with technical assets.
• Product-Minded Leadership: Experience defining a product or platform strategy based on market feedback, not just executing technical tickets.
• Technical Depth: Strong hands-on understanding of GPU-centric infrastructure, high-performance compute, storage systems, and networking.
• Robotics Fluency: Experience with Physical AI and robotics workflows, including simulation, synthetic data, training pipelines, and real-world deployment constraints.
• Communication: Strong executive presence, capable of influencing product teams and leadership through clarity and credibility.
• Comfort in Ambiguity: Experience operating in fast-moving environments (hyperscalers, cloud platforms, or advanced AI startups) where requirements are evolving. 

Why Nebius:

• Build Solutions: You aren't just selling infrastructure; you are shaping the cloud architecture that will power the next generation of Physical AI
• Frontier Technology: Work at the frontier of AI, simulation, and real-world intelligence alongside leading customers and partners
• Strategic Impact: Operate with real influence over product direction, platform strategy, and ecosystem development
• Ownership: Join a team that values technical depth, ownership, and speed of execution
• Mission: Help define how intelligence moves from the data center into the physical world

About Us MGT Insurance is modernizing the insurance industry with cutting-edge web technologies and user-centric design. We are seeking an Agentic Engineer with over 6 years of experience and a deep expertise in AI agents, LLMs, and autonomous system architectures to join our engineering, data science, and insurance product teams in building the next generation of self-directed insurance platform capabilities.

Position Overview As anAgentic Engineer, you will be responsible for designing, developing, and deploying sophisticated AI agent systems that can reason, plan, and execute complex insurance workflows autonomously. This role requires a combination of hands-on AI engineering, technical leadership, and strategic automation development to build intelligent agents that transform how our platform operates and serves customers.

Key Responsibilities

• Agentic System Architecture: Lead the design and implementation of multi-agent systems using LLMs, vector databases, and agent orchestration frameworks to create intelligent, goal-oriented automation.
• Reasoning & Planning Systems: Implement advanced reasoning capabilities including chain-of-thought processing, multi-step planning, and decision trees for complex insurance scenarios.
• Observability & Monitoring: Design comprehensive observability frameworks for agent systems including real-time performance metrics, decision tracing, and behavioral analytics to ensure full visibility into autonomous operations.
• Testing & Quality Assurance: Implement rigorous testing strategies for agentic systems including unit testing for agent components, integration testing for multi-agent workflows, and adversarial testing for edge cases and failure modes.
• Regulatory Compliance & Governance: Establish comprehensive governance frameworks that ensure agent decision-making processes meet insurance regulatory requirements including audit trails, explainability standards, fair lending compliance, and state insurance commission oversight requirements.

Qualifications

• Expertise in LLMs and Agent Frameworks including OpenAI GPT, Anthropic Claude, LangChain, CrewAI, or similar platforms for building autonomous AI systems.
• Strong software engineering background with proficiency in Python, TypeScript, and modern AI/ML deployment patterns including vector databases, embedding systems, and real-time inference.
• Experience with agent architecture patterns including ReAct, function calling, multi-agent coordination, and tool use frameworks for complex workflow automation.

Location: Candidates based in Madison, Wisconsin or San Francisco, California are preferred to facilitate close collaboration with our team.

Who We Are

• Small & Agile: We're a tight-knit engineering team of fewer than 10 people who move fast and make things happen
• High Agency: We operate with autonomy and ownership - everyone acts like a founder and drives meaningful impact
• Action-Oriented: We believe in "see something, do something" - no bureaucracy, just results
• Passionate Builders: We take pride in crafting elegant code, intuitive applications, and solving real problems
• Team First: We genuinely enjoy working together and believe great products come from great relationships
• Quality Focused: We ship code we're proud of and build systems that stand the test of time

What We Offer

• Competitive salary and benefits package.
• Leadership role in pioneering autonomous AI systems in the insurance industry.
• A unique opportunity to build cutting-edge agentic technology that transforms insurance operations.
• A collaborative and forward-thinking work environment at the intersection of AI and insurance.
• Continuous learning and career development opportunities in emerging AI technologies and autonomous system leadership.

Compensation Range: $175,000 – $300,000 annual base salary + bonus + equity (commensurate with experience and dependent on location)   

What we do

Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. 

The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: 

1. Environments for Software Engineering / coding agents 
2. UI-Environments for Computer-Use/Browser-Use agents 
3. MCP-based Environments for general function-calling agents across various enterprise and consumer applications.

The Role

We are looking for a Principal Research Engineer – RL to own the end-to-end lifecycle of RL environment projects, spanning environment design, task generation, reward/verifier design, quality, and delivery to frontier AI labs and enterprise clients. 

This is a hands-on technical leadership role where you influence revenue directly – you will be mapped to one or more AI labs and build RL environments specific to their needs. You will lead teams of engineers, subject matter experts (e.g. Finance expert, if you’re building an RL environment for investment banking workflows), researchers, and data ops teammates to achieve this.

What You’ll Do 

• End-to-End Ownership: Lead RL Environment projects end-to-end for one or more clients, ensuring the environment you and your team create matches the client’s spec, surpasses quality expectations, and is delivered on time. 
• Data Quality: Ensure the RL environments you produce, the data that goes into those environments, and the the data generated from them (e.g. agent trajectories and reward scores) meet frontier standards for realism, difficulty, diversity. 
• Team building and enablement: Work with your Ops counterparts to build the team of full-stack engineers, back-end engineers, domain experts, QAs, data creators, reviewers, and others you’ll need to deliver the environment on time. You’ll interview, hire, onboard, train, retain talent for your team 
• Process Leadership: Set the process that each of the above team members follows to generate environment code, database schemas, seed data, tasks, and verifiers; set up quality rubrics, automated validation scripts, and human-in-the-loop review processes for every aspect of the environment and data for the environment.
• Customer Interaction: Own customer relationships for your RL Environment project(s), and act as the primary point of contact for leading AI labs, providing regular updates, asking for feedback, and identifying opportunities to grow project scope and revenue. 
• Sales & Solutioning: participate in client solutioning conversations alongside our sales teammates; understand the needs of researchers at AI labs, translate those needs into environment goals 
• Evals & Post-training: Demonstrate proof of value for your environments by running inhouse RL fine tuning experiments to measure model performance lifts on agent trajectories; or by producing eval reports of frontier models on your environment and tasks

Who We’re Looking For

• RL & Post-training experience: familiarity with RL fine tuning, verifier/reward design, and/or environment design 
• Engineering Management experience: have led teams of engineers in the past, including interviewing/hiring them and setting up QA processes.
• Systems thinking + Database/API design: ability to ‘simulate’ the data schema and API interface of a consumer or business application 
• Hands-on technical capability: willing to write code along with the team you’re managing; Python and SQL experience preferred 
• Operational leadership: Proven ability to manage complex data pipelines, multi-stakeholder delivery, and concurrent high-stakes projects. 
• Cross-functional communicator: ability to communicate clearly with researchers at frontier AI labs, subject matter experts for various domains, and diverse teams. 
• Background in Computer Science, Machine Learning, or related technical field preferred.

Why Turing 

•  Work directly with the world’s leading AI labs and enterprises at the cutting edge of RL environment design and post-training. 
• Real impact: your environments will be used to evaluate and train frontier models on GDP-moving tasks across real-world domains 
• Talent-dense team, where you'll find high autonomy, rapid iteration, and rapid learning curve

Compensation: $250,000 to $350,000 OTE + Equity

About the Role:

We're looking for a Principal Software Engineer to help architect and build Redpanda's Agentic Data Plane (ADP), the control and execution layer that powers how AI agents safely interact with real-world data across the technological sprawl of the modern enterprise. Redpanda’s Agentic Data Plane enables intelligent agents to autonomously access, reason over, and act on enterprise data in real time, while providing their human counterparts with the visibility and control to ensure and validate that they do so securely. It combines Redpanda’s industry-leading low-latency streaming layer, a distributed query engine for real-time context, 300+ connectors for seamless data integration, and a global policy and observability framework that enforces access, records intent, and enables replayable audits.

You'll work on identifying and integrating the next generation of ADP capabilities as the agentic AI landscape evolves, translating emerging research and industry shifts into concrete engineering proposals and product bets. You'll partner closely across Engineering, with our Product and GTM teams, as well as directly with strategic customers to shape the product’s architecture and direction.

This is a hybrid role based in our San Francisco office.

You Will:  

• Track emerging research, frameworks, and industry developments in the agentic AI space, and translate the most relevant signals into concrete engineering proposals and product bets
• Identify, prototype, and deliver high-leverage emerging capabilities for ADP, in partnership with the broader team 
• Define architectural patterns for new ADP capabilities, ensuring they integrate cleanly with the existing runtime, policy, and observability layers
• Engage directly with strategic customers and the field to stress-test new capabilities against real enterprise deployment scenarios
• Serve as a technical ambassador for ADP externally, publishing research, writing engineering blog posts, and speaking at conferences to establish Redpanda's credibility at the frontier of agentic infrastructure
• Participate in on-call and help drive down operational toil, improving system observability and self-healing capabilities over time

You Have: 

• 10+ years of software engineering experience, with a demonstrated track record of leading the design and delivery of complex, large-scale distributed systems
• Experience building or contributing to emerging areas of agentic AI infrastructure, e.g. eval frameworks, orchestration layers, context management, AI gateways, or similar
• Fluency with AI-assisted development at the level of agentic orchestration, i.e. composing multi-agent coding workflows with subagents to dramatically accelerate research and prototyping
• Deep expertise in at least one systems language (Go preferred) and comfort working across the stack
• Understanding of streaming data systems, messaging infrastructure, or data plane/control plane architectures, experience with Apache Kafka or Redpanda is a plus
• Experience designing and operating systems that enforce access control, policy, and auditability at scale 
• Self-directed, strong written communicator, comfortable collaborating asynchronously in GitHub, Slack, and Google Docs
• Excellent interpersonal and communication skills. Able to lead without authority across engineering teams and engage credibly with technical customers and external audiences

Nice to Have:

• Familiarity with AI safety, alignment, or responsible AI research as it applies to autonomous systems in enterprise environments
• Experience with protocol buffers, protoreflect and codegen
• Background in security, identity, or data governance systems relevant to enterprise environments
• Experience running Kafka/Redpanda and/or Postgres at scale
• Experience with Kubernetes and cloud-native infrastructure across AWS, GCP, or Azure
• Prior experience in an early-stage or growth-stage startup, especially in a category-defining product area

U.S. base salary range for this role is $245,000 - $290,000. Our salary ranges are determined by role, level, and location. As a remote-first company, we strive to consider each candidate's job-related skills, location, experience, relevant education or training to determine individual base salary. Your talent partner will share more about the specific salary range for your preferred location during the hiring process.

The PAM Team

Ever wonder how large organizations make sure the right people can access their most critical systems? That's the problem the Okta Privileged Access Management (PAM)  team solves.

Our solution controls who can reach sensitive servers, databases and cloud resources and grants access only when it's needed. It is the security layer between people (and non-human-identities) and the systems they need to do their jobs.

The Staff Backend Engineer Opportunity

We are seeking a world-class Staff Engineer to help us architect and build the high-performance core of our non-human identity platform.

Your work, in close collaboration with our principal engineers and architects, will be the foundation of our strategy for managing privileged access in the modern enterprise. If you are a systems programmer who thrives on influencing the design of high-performance, concurrent, and resilient security software, this is the role for you.

What you’ll be doing 

• Contribute to Core Architecture: Partner with principal engineers and architects to design and implement a low-latency, high-throughput secrets engine for non-human identities
• Solve for Massive Scale: Write highly concurrent, performance-critical code capable of handling millions of machine-to-machine authentication and authorization requests
• Shape Technical Strategy: Play a key role in defining the long-term technical roadmap for scalability and performance, ensuring our platform can meet the demands of the largest enterprises
• Mentor and Elevate: As a senior engineer on the team, you will work with junior engineers to help them advance their SDLC expertise.
• On-Call: Participate in the rotational on-call activities with SRE and product development team

What you’ll bring to the role

• Required Experience:
  • 8+ years of professional software engineering experience, with a heavy focus on backend or systems-level development
  • Bachelor’s or Master’s degree in Computer Science, or equivalent practical experience
• Core Technical Expertise:
  • Deep, hands-on expertise in multi-platform Go development and building high-performance, concurrent applications
  • Experience designing or operating distributed systems
  • Experience with secure systems (authn/authz, encryption, TLS, token handling, PKI, CAs, diagnosing TLS issues)
  • Deep expertise in distributed storage systems, with a focus on replication, backup, and restore, and data management. (Postgres, etc.)
  • Direct experience designing, building, or contributing to a secrets management, service mesh, or machine identity platform
  • Expert-level at ergonomic API design (gRPC/openAPI), and building for reliability at scale
  • Deep knowledge of cloud-native infrastructure

And extra credit if you have experience in any of the following! 

• Experience at a leading Cybersecurity or Infrastructure-as-Code company
• Contributions to open-source projects in the identity, security, or infrastructure space

(P24952_3419318)

#LI-Hybrid 

#BB-1

The Security Governance Team

If you want to be a part of a dynamic, forward-thinking Governance, Risk and Compliance organization focused on building a best-in-class, cutting edge governance program, come join the Security Governance Team at Okta. As a critical foundation of GRC, the Security Governance team’s mission is to provide the documentation, policy adherence, and advisory backbone needed to drive secure operations and behaviors at Okta and position the company as a global leader in security best practices. We are seeking a dedicated and detail-oriented Principal Data Security Engineer to join our team. The ideal candidate will drive Okta’s internal data security strategy and uplift capabilities for safeguarding sensitive information throughout the company.

The Role

The Principal Data Security Engineer will be the business owner of Okta’s data protection tool suite and will be responsible for envisioning, implementing, and maturing data security strategies across Okta, including enforcement of data retention, authoring and implementing data encryption and obfuscation minimums, establishing secure key management best practices, uplifting data handling controls and safeguards, and automating security workflows. This role demands a high level of technical expertise and deep experience with data security applications and services, such as Okta, Crowdstrike, and Palo Alto Networks. This role will work closely with a wide array of internal stakeholders, such as Data Loss Prevention (DLP) Engineering, Defensive Cyber Operations, Defensive Cyber Engineering, and Legal, as well as technology and cloud support teams. This role requires a thorough understanding of DLP technologies such as data security posture management (DSPM), endpoint detection and response (EDR), and cloud access security broker (CASB) as well as significant working experience in the data security and protection domain.

The right candidate will have experience operating in a mature security control environment, will have a strong background in managing mature data security and privacy functions in corporate settings, and will possess a proven track record of successfully implementing complex projects in cross-collaborative teams. The ideal Principal Data Security Engineer will be able to identify and drive appropriate data security strategy that mitigates Okta’s key security risks, including recommending enhancements such as compensating controls and other preventative measures.

The Principal Data Security Engineer will have strong familiarity with security compliance frameworks (e.g., NIST, ISO, PCI) and will be competent in summarizing complex scenarios for management review. If you are a self-starter who wants to make a difference in a global cloud security company, come help us lead the way.

What you'll be doing

• Serve as the business owner of Okta’s data protection tool suite
• Evaluation and implementation of security tools and services
• Design, establish, and implement the strategy for a multi-year data security maturity roadmap
• Identify patterns and trends in data loss incidents to enhance preventative and detective measures
• Collaborate with the Cyber Defense Team and Technology, Data & Intelligence (TDI) Team to realize data security controls within Okta’s data security technology stack
• Oversee and manage the development, implementation, and uplift of DLP rules
• Work closely with technology teams, Legal, Compliance, and other business units to ensure execution of comprehensive data protection strategies
• Provide clear and concise reports and documentation on data loss incidents and resolutions
• Ability to manage complex projects, including identifying dependencies and evaluating impact

What you'll bring to the role

• Bachelor’s degree in Information Security, Computer Science, or equivalent experience 
• 10+ years of experience in information security with a focus on data security and privacy
• Strong understanding of data protection principles and technologies
• Experience with network security, endpoint security, and cloud security solutions
• Certifications such as CISSP, CISA, CISM, or CDPSE are preferred
• Demonstrated experience working in commercial security roles aligned with security compliance frameworks (e.g., NIST, ISO, PCI)
• Experience in building productive relationships and driving collaboration with both technical and non-technical teams
• Clear ability to communicate the desired business outcomes and requirements to technologists building solutions
• Ability to operate effectively in a remote environment
• Self-starting, self-motivated, self-directed, and self-sufficient

Requirements

• Deep understanding of data security, data protection, and data privacy workstreams and related tooling (DSPM, DLP, CASB..etc)
• Demonstrated experience managing projects and data security tool implementations at a large/comparably sized company, ideally in a regulated industry; and/or Big 4 candidates with related engagement experience
• Strong security background; security certification preferred (e.g., CISA, CISM, CISSP, CDPSE)
• Bachelor’s degree or higher in cybersecurity or a related technical focus area and/or equivalent practical experience
• Strategic thinker with strong analytical and critical thinking skills
• Experience managing small teams and/or more junior team members is strongly preferred

#LI-SM1

#LI-HYBRID

P16924_3342877

The Role

As an Applied AI Marketing Engineer, you will be a core, hands-on builder within the new Marketing AI Spoke team. You will function as the primary product owner and technical implementer for a specific portfolio of AI agents, workflows, and low-code/no-code applications. This role requires a blend of marketing acumen, technical aptitude, and problem-solving skills to translate complex business challenges into tangible, deployed, AI-driven solutions.

You will be responsible for the full engineering lifecycle—defining, developing, testing, and deploying high-impact initiatives that directly improve our marketing productivity, operational efficiency, and buyer experiences.

Responsibilities

• Marketing AI Solution Development: Patterning with TDI leveraging company-wide approved platform. Design, build, and maintain the underlying infrastructure and services required to run scalable AI applications for the Marketing organization. This includes connecting data sources, building APIs, developing front-end user interfaces (UI/UX), and engineering the backend logic.
• AI Agent & Workflow Engineering: Architect, code, test, and deploy AI agents and low-code/no-code workflows that solve critical marketing challenges. Ensure solutions are robust, secure, and seamlessly integrated into the existing AI stack (e.g., CRM, MAP, CMS).
• Agentic Strategy & Architectural Design: Act as the technical leader for your assigned portfolio, defining the architectural blueprints for new AI enabled workflows. Evaluate and recommend the appropriate technical tooling (e.g., cloud services, databases, low-code platforms) to maximize performance and minimize operational costs.
• Data and Prompt Engineering: Partner with data science and marketing ops teams to ensure data pipelines support AI application needs (RAG, fine-tuning). Design and iterate on effective prompts and input-output schemas to optimize the performance and reliability of large language model (LLM) agents.
• Value Measurement & System Optimization: Implement performance tracking directly into deployed platforms (instrumentation). Use technical metrics (latency, uptime, error rates) and business metrics (ROI, time saved) to justify system improvements and guide the marketing AI roadmap. 

What You'll Bring

• A Bias for Action and Iteration: Demonstrated passion for a test-and-learn philosophy, quickly prototyping and validating solutions to drive continuous improvement.
• AI-First Technology Mindset: Deep curiosity and commitment to leveraging AI and machine learning as foundational elements for building next-generation marketing tools and operational workflows.
• Marketing Domain Curiosity: A strong interest in marketing dynamics, customer behavior, and business outcomes, translating technical capabilities into tangible marketing value.
• Preferred Experience (A Strong Plus): Prior background in marketing operations, strategy, or experience working on tools/platforms utilized by large-scale marketing organizations.

Why You'll Love This Role

• Become the Architect of Change: You won't be maintaining existing systems; you will be building a new, high-impact function from the ground up. This is a chance for true architectural ownership over the next generation of our marketing operating model.
• Tangible and Immediate Impact: Your work on groundbreaking AI projects will have a direct, measurable impact on our business performance, customer experience, and efficiency. You will see your innovations adopted by hundreds of marketers and contribute to trillions in potential value.
• High-Visibility, Strategic Ownership: This role offers executive-level visibility as you directly shape the future of marketing strategy at Okta, moving the function from manual repetition to hyper-efficient, data-driven automation.

#LI-Hybrid
PID: P24412_3380938

Discord's Infrastructure organization is the backbone of everything our users experience. From the real-time delivery of 40M+ events per second to storing trillions of messages, our systems power the connections between 200M+ active users. As a Principal Engineer in this organization, you'll operate across our infrastructure teams to shape our technical vision and keep Discord running reliably at massive scale.

This is a role for someone who thrives at the intersection of deep technical expertise and organizational leadership. You'll contribute to the long-term infrastructure roadmap, tackle our most complex and ambiguous technical challenges, and ensure Discord's systems remain reliable, efficient, and ready for the next 200M users.

You will:

• Lead Discord's most critical infrastructure initiatives.
• Define and drive the technical vision and multi-year roadmap for Infrastructure, aligning teams around shared architectural principles.
• Partner with leadership across the company to ensure infrastructure capabilities enable product innovation.
• Design systems that balance reliability, cost-efficiency, and scalability.
• Mentor and grow senior engineers across multiple teams, raising the technical bar organization-wide.
• Represent Discord's engineering culture externally through blog posts, conference talks, and open source contributions.

You have:

• 10+ years of experience building and operating large-scale distributed systems.
• Experience architecting complex infrastructure serving hundreds of millions of users with strict uptime requirements.
• Deep expertise in backend systems, databases, and the operational realities of running systems at scale.
• Ability to navigate significant ambiguity and make sound technical decisions that hold up over time.
• Experience influencing technical direction across many teams without direct authority.
• Strong communication skills and you can articulate complex technical concepts to any audience and build alignment around your vision.
• A passion for mentorship and raising the capabilities of engineers around you.

Bonus points:

• Experience with Rust, Elixir, or Python in production systems.
• Expertise with distributed databases like ScyllaDB, Cassandra, or similar.
• Expertise building large scale chat products.
• History of open source contributions.

Things that might interest you:

• Our languages: Rust, Elixir, and Python.
• Our databases: ScyllaDB, Postgres and Elasticsearch.
• Our systems are deployed in Google Cloud.
• Our infrastructure teams shared many blog posts over the years. Some highlights:
• How Discord Stores Trillions of Messages
• Maxjourney: Pushing Discord’s Limits with a Million+ Online Users in a Single Server
• Modern Image Formats at Discord: Supporting WebP and AVIF
• How Discord Supercharges Network Disks for Extreme Low Latency
• Using Rust to Scale Elixir for 11 Million Concurrent Users
• Why Discord is switching from Go to Rust
• One of our engineers literally wrote the book on ScyllaDB.
• We open sourced some of our work, like our media processing library lilliput, or various Elixir utilities like manifold, sorted_set_nif and more.

Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). For this role, the hiring manager would like folks to be in the office 1 day a week. Relocation assistance may be available.

The US base salary range for this full-time position is $400,000 to $500,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Location: Only SF, Denver, NYC

About the Role:

We’re hiring seasoned engineers to join our teams that work on core platform capabilities, improving our existing systems for extensibility and scalability, and building the future of Gusto's Payroll and Tax systems. As a Gusto Software Engineer at this level, you’ll be guiding projects end-to-end by influencing initial feature specs, understanding how to take existing systems closer to desired end states, executing on projects, and maintaining code that powers core experiences. If you’re interested in building elegant software with far-reaching effects in our modern economy, join us!

About the Team:

Payroll is the beating heart of Gusto’s business. Pay Group (payroll and tax) teams are responsible for the product, ops, and service components Gusto uses to onboard customers, process payrolls, calculate taxes and deductions, pay and file with tax agencies, and maintain compliance on behalf of the customers. The domain is highly complex and offers the opportunity to engage in system design that simplifies this for customers, both internal and external.

Sub- Teams:

• Tax Accuracy: The Tax Accuracy group is responsible for gathering and maintaining the necessary information for us to pay and file taxes accurately and on time for our customers, and consists of multiple teams that cover various parts of the process.
• Ledger: This team is building a payroll ledger to track accrual accounting for payroll-related money movement. This team is starting to support the payroll domain, risk, payments, and accounting. 
• Engine: This team works closely with the payroll compliance team to ensure enablement of compliant pay, such as minimum wage adjustments, regular rate of pay, etc. We enable end-to-end success of payroll processing and working with various domain teams such as tax calculations, tax setup, payments, and more.
• Platform: This team is developing a new platform to be the common interface for interacting with payroll and tax data. The payroll and tax domain is highly complex; our team exists to make it easier for other application teams to interact with the payroll and tax system. We enable application and experience teams to deliver customer value faster by providing a scalable, flexible, performant, and highly understandable platform to integrate with. 

Here’s what you’ll do day-to-day:

• Function as a Technical Lead across multiple teams in Payroll Services, helping us keep engineers unblocked and deliver high-quality work supporting our long-term goals
• Design, build, and test the foundation that supports compliant payroll for millions of people
• Help scale one of the largest Ruby/Rails and TypeScript/React applications in the world
• Collaborate on complex and ambiguous problems with partnerships from Engineering, Product Management, Design, Data Science, Compliance, Operations, and other cross-functional teams
• Mentor and grow fellow engineers working to create holistic and scalable solutions
• Drive the product development process from concept to launch, delivering delightful products that make payroll, taxes, and compliance simple and easy
• Improve the productivity and happiness of our teams with the services, tools, and APIs you build.
• Engage in a highly supportive environment working with others to drive productivity and innovation
• Continuously stay up-to-date with advancements in AI and Machine Learning, applying this knowledge to our projects.

Here’s what we're looking for:

• Successful applicants typically have at least 15+ years of experience
• Able to build maintainable, structured, well-documented code 
• Strong knowledge of data structures, data modeling, and system design
• Experience working across 3+ teams, influencing both product and team direction
• Experience working on platform products which are depended upon throughout the company
• Experience engineering, designing, building and supporting large scale systems in production
• An aptitude in bringing clarity and simplicity to complex problems, communicating technical complexity and facilitating informed tradeoffs to major stakeholders
• Experience operationalizing and scaling large interconnected production systems
• Enthusiasm for a collaborative, test-driven environment
• Experience in complex highly regulated domains
• Examples: HR, Payroll, Taxes, or Compliance 
• Experience using AI tools to build, test, and iterate on products quickly.
• Understanding of how to evaluate AI-driven outputs using clear success criteria.
• A commitment to staying current on emerging backend technologies and AI frameworks and patterns, regularly experimenting with new approaches.
• Willingness to contribute to shared tools or templates that enhance the speed and safety of AI experimentation.

Our cash compensation amount for this role is targeted at $215,000/yr to $252,000/yr in Denver & most remote locations, and $251,000/yr to $295,000/yr for San Francisco, Seattle & New York. Stock equity is additional. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

#LI-DNI

The iOS Platform team sets the technical direction for iOS at Reddit. Our customers are primarily other engineers. It’s our job to help improve developer efficiency by providing libraries/APIs/frameworks, monitoring performance, building shared components, improving build tools, etc. In the codebase, we own the core components of the app such as the networking and caching stack. We set the direction in which the codebase builds by defining which design patterns and technologies to employ at Reddit.

This role will enable us to architect our iOS app to scale for the next 100M+ DAUs. They will help establish the right standards in iOS development and will help in improving the overall iOS development experience at Reddit. In addition, they will mentor senior iOS engineers across Reddit and will be seen as a go-to person for any challenges on iOS App architecture.

As a Principal Engineer in the iOS Platform team, you will be responsible for designing a solid foundation for our iOS application development. You will have the company-wide scope, impact, and responsibility in shaping the future of iOS development at Reddit. You will champion the technology selection, best practices in Reddit’s iOS application development. In addition, you will act as an Architect for the iOS application at Reddit.

What you’ll do

• Own the architecture of Reddit’s iOS Mobile App and make it scale to the next 100M+ DAUs. Propose ideas/solutions to reach our vision of “making Reddit’s Mobile Apps best-in-class.”
• Identify the gaps in our current iOS App Architecture, and lead redesign of the iOS platform to improve modularity, performance, and quality.
• Define, measure, and execute on key user-facing performance goals, specifically minimizing App Not Responding (ANR) rate, reducing app launch time (Time to Interactive/TTFF), and eliminating slow/dropped frames.
• Improve observability and harden data quality for all key performance areas, including establishing reliable telemetry, monitoring, and guardrails for ANR rate, app launch time, and slow/dropped frames.
• Drive a company-wide culture of performance, ensuring that every iOS engineer at Reddit has the tools and skills needed to own the performance of their product surfaces.
• Mentor iOS developers across the company.
• Be the go-to person for developers on complex problems in iOS development.

What we expect from you

• Deep experience-based understanding of how to build mobile applications at scale.
• You are a strategic thinker who thrives on developing a long-term technical foundation and has a passion for developing scalable, well-designed software that improves people’s lives globally.
• 10+ years of Software development experience with at least 5+ years in designing/developing iOS applications. 
• Experience in influencing larger (200+ engineers) organizations on technical direction/best practices related to iOS
• Experience with modern iOS development frameworks such as Swift UI and structured Concurrency.
• Passion for developing scalable, well-designed software that improves people’s lives globally. 
• Experience working with cross-functional teams such as design, product, data teams to deliver great user experiences.
• Bachelor's degree or higher in Computer Science or a related field, or equivalent technical expertise

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

About the Role:

At Gusto, we believe the next frontier of competitive advantage is the intelligence of the systems that power our people. As the Sr Principal PM, AI Workforce Enablement, you are the architect of the "Superhuman Agent." You won't just manage tools; you will redefine the relationship between Gusto’s workforce and technology. You are responsible for evolving our internal foundation into a proactive, agentic platform where AI handles the cognitive load, allowing our Go-to-Market (GTM) and Service teams to focus on high-value human connection. You will lead the transition of our legacy ecosystem into a future-state "exoskeleton" that empowers every employee to deliver an unparalleled, frictionless experience to our customers.

Gusto is looking for a hands-on builder to take on this leadership mantle as we rethink how people grow in an AI-native company. This role is not just about designing the systems that shape growth day-to-day, but the actual mechanics of work. You will be responsible for building new architecture and tearing down what no longer serves us. The goal is simple but hard: make growth obvious, continuous, and hard to avoid.

We’re looking for a leader who can balance strategic influence with hands-on craft—someone who can guide senior Gusto leaders through AI-native data strategy, coach data scientists on impactful problem solving, and dive in to drive forward statistically rigorous analyses when needed.

About the Team:

The Unified Service Platform (USP) product team serves as Gusto’s architectural backbone, responsible for engineering the intelligent, AI-driven ecosystem that brings GTM and Service operations into alignment. Our mission is to replace fragmented point solutions with a singular System of Intelligence—a digital exoskeleton that strips away administrative friction so our teams can focus on what matters most: our customers. Through our commitment to a #OneGusto experience, we provide the platform that ensures every internal interaction is backed by the full context of the customer journey.

We are an AI-native team building "agentic" solutions that transform how work happens. By mastering the AI-Human-AI loop, we own the delivery of a seamless, cross-channel journey across voice, chat, and email. Our goal is to ensure that our internal technical excellence creates an instant, easy and effortless experience for every business Gusto serves.

Here’s what you’ll do day-to-day:

• Architect of the "System of Intelligence": Lead the evolution of Gusto’s internal workspace by integrating 1P (first-party) and 3P (third-party) systems into a unified platform. Transform CRM into a proactive platform that anticipates agent needs and triggers automated workflows across the entire tech stack before manual intervention is required.
• Design the Future-State Agent Experience: Build the product mechanics for a symbiotic "AI-Human-AI" loop, where intelligent systems handle high-volume tasks and documentation, elevating our human experts to focus on high-value, high-empathy problem solving.
• Engineer the "Digital Exoskeleton": Ship real-time, context-aware assistance and agentic tools that eliminate cognitive load, enabling every Gustie to operate with "superhuman" speed and accuracy across voice, chat, and email.
• Lead with Technical Craft: Partner with Data Science and Engineering to bridge the gap between high-level AI strategy and rigorous execution, ensuring our models drive measurable gains in both agent productivity and employee sentiment.

Here’s what we're looking for:

• Visionary Product Leadership: 10+ years of experience in product management, with a proven track record of leading high-stakes internal platforms, RevOps, or Service technology at scale.
• AI Builder & Strategist: AI/ML specialist with deep expertise in LLMs and agentic workflows, building and shipping custom AI solutions that transform how teams work and scale.
• Systems Thinker: You see the "big picture" of how data and tools flow across a company and can architect solutions that solve for the end-to-end customer journey.
• Change Agent: Experience leading large-scale organizational transformations or merging complex technical teams into a unified organization.
• Human-Centric Empathy: A passion for "the work of work"—you are obsessed with making tools that employees love to use and that remove the friction from their daily lives.
• Strategic Execution: The ability to balance long-term 18-month missions (like #OneGusto) with the immediate tactical needs of a fast-growing GTM engine.

If you don't think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.

Our cash compensation amount for this role is $204,000/yr to $238,000/yr in Denver & most major metro locations, and $240,000/yr to $280,000/yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above.

About the Role:

We're hiring a Principal Engineer to serve as a Technical Lead across multiple teams in the Money Group – Gusto's fastest-growing organization and a cornerstone of the company's transformation into the Small Business Finance Platform. 

You'll define the long-term technical vision for systems that power cash flow management, lending, expense controls, invoicing, payments, and tax optimization (something about consumer financial health?)– ensuring the architecture scales as we grow. This role spans strategy and execution: setting architectural direction across 5+ teams, vetting external partners, prototyping new product lines to unblock product decisions, extracting services from our monolith, and mentoring the engineers around you. You'll be the person who fills whatever role the group needs to hit its goals – from hands-on coding to strategic planning to unblocking other teams.

If you're excited about building financial infrastructure with real impact on the people and businesses that power the modern economy, we'd love for you to join us.

About the Team:

Money is Gusto's fastest-growing group, building financial products for both sides of the employment relationship. For small businesses, we're extending the category of employer-facing financial services – bill pay, invoicing, working capital, expense cards, and cash flow insights that help SMBs get paid faster and pay others with confidence. For employees, we build tools that reduce financial stress: on-demand pay, high-yield cash accounts, automated savings, and credit-building features. This is a deeply technical domain spanning payments infrastructure, lending, multi-party integrations, and mobile-first experiences – with the complexity and scale to match.

Together, these teams are building toward a unified financial operating system for small businesses – accounting, banking, payments, lending, and tax – all connected to Gusto's payroll and people platform.

Our unique advantage is Gusto's authority over payroll data, which we leverage to build a payroll-confidence engine no standalone fintech can replicate.

Here’s what you’ll do day-to-day:

• Serve as a Technical Lead across multiple teams in the Money Group – setting architectural direction, unblocking engineers, and ensuring high-quality delivery aligned with long-term goals.
• Define the north-star architectural vision for the Money Group and continuously identify shorter-term projects that move us toward it.
• Architect the convergence of Gusto's People Stack (payroll, HR, benefits) and Finance Stack (banking, accounting, payments, lending) into a unified platform for small businesses.
• Lead service migration from a large Ruby-on-Rails monolith into a service-oriented architecture, defining clean domain boundaries across money movement, lending, and tax.
• Lead technical due diligence – evaluating codebases, data models, and engineering teams for compatibility with Gusto's platform.
• Manage a complex partner ecosystem.
• Build prototypes and proofs-of-concept to de-risk new ideas and unblock product decisions quickly.
• Tackle complex, ambiguous problems in close partnership with Product Management, Design, Data Science, Compliance, and Operations.
• Drive AI-native architecture decisions – from LLM-powered transaction categorization and tax optimization to conversational financial management experiences.
• Act as a technical consultant across all Money sub-teams – Consumer, Business, Tax Credits, Payments – ensuring architectural coherence across the group.
• Set the bar for technical excellence – through code, design reviews, and the standards you hold the group to.
• Mentor fellow engineers, contribute to the growth of senior and staff engineers, and help build healthy, high-performing teams.

Here’s what we're looking for:

• 15+ years of software engineering experience (successful applicants typically meet or exceed this).
• Deep expertise in distributed systems, particularly in payments or fintech – including data modeling for financial systems, consistency guarantees for money movement, and compliance-aware architecture.
• Proven track record of engineering, scaling, and operating large, interconnected production systems.
• Experience setting long-term technical vision and driving multi-year architectural transformations – not just executing migrations, but identifying the right boundaries, sequencing the work across teams, and ensuring strong technical stewards drive execution.
• Experience working across multiple teams, influencing both technical direction and product strategy. Demonstrated ability to own group-level OKRs and be accountable for the technical strategy that delivers them.
• Experience navigating decisions for core infrastructure, particularly in fintech – evaluating APIs, negotiating technical contracts, and leading integration from evaluation through production.
• Ability to bring clarity to complex problems – communicating technical tradeoffs to non-technical stakeholders, identifying significant risks or opportunities before others, and driving decisions.
• A track record of raising the technical bar – through code quality, design rigor, testing and security best practices, and the standards you set for those around you.
• A track record of filling whatever role the group needs – from hands-on prototyping to strategic planning to firefighting – with a bias toward action.
• Experience in complex, highly regulated domains (e.g., fintech, payments, banking, lending,

Our cash compensation for this role is $214,000-$260,000yr in Denver & most major metro locations, and $250,000-$300,000yr in San Francisco & New York. Final offer amounts are determined by multiple factors, including candidate location, experience, and expertise, and may vary from the amounts listed above.

The Staff Metals and Alloys Engineer acts as the principal technical expert for metallic material systems and their integration into high-performance hardware, with a critical emphasis on Color, Material, and Finish (CMF). This role drives the strategic selection and development of alloys, surface treatments, and coatings to achieve superior mechanical performance, scratch resistance, reliability, and aesthetic quality for next-generation consumer electronics. The engineer will lead multi-functional efforts to qualify new metallic materials and fabrication processes, ensuring components meet rigorous demands while maintaining quality and reliability.

Core Technical Responsibilities

This position requires deep metallurgical expertise to solve complex materials challenges across the product lifecycle:

Physical Metallurgy & Alloy Design

• Alloy Selection: Lead the development and characterization of high-performance alloys (e.g., Titanium, Steel and non-ferrous alloys) for critical wearable device components and outer housings
• Phase Transformations: Apply deep knowledge of phase diagrams and kinetics to optimize heat treatment cycles, ensuring desired microstructural phases and mechanical properties.
• Strengthening Mechanisms: Implement advanced strengthening strategies such as precipitation hardening, work hardening, and grain refinement to enhance component durability.

Manufacturing & Thermal Processing

• Process Optimization: Partner with manufacturing teams to refine metal forming processes including MIM, 3D printing, forging, extrusion, and precision casting for high-volume production.
• Thermal Management: Design and validate thermal processing routes to manage residual stresses, improve dimensional stability, and optimize grain structure.
• Surface Metallurgy: Collaborate on the interaction between bulk metal properties and secondary surface treatments to ensure robust adhesion and finish quality.

Surface Engineering & Advanced Coatings

• Lead the development, characterization, and qualification of advanced thin film coatings and surface treatments, including PVD, CVD, Platings, and Anodizing, to optimize CMF and wear resistance on Titanium components.
• Drive innovation in coatings and finishes to achieve superior scratch resistance and reliability under long-term user wear.
• Collaborate with design and manufacturing teams to develop optically clear, scratch resistant coatings for metallic surfaces.

Characterization & Forensic Analysis

• Microstructural Analysis: Utilize advanced metallographic techniques (SEM, EBSD, XRD) to characterize grain size, phase distribution, and crystalline orientation.
• Failure Analysis: Perform deep-dive root cause investigations of metallic failures, including fatigue, stress corrosion cracking (SCC), and brittle fracture.
• Mechanical Testing: Establish comprehensive testing protocols for tensile, hardness, and toughness evaluation to correlate microstructure with real-world performance.

Key Technical Challenges

• Improving the scratch resistance of Titanium PVD finishes to meet premium consumer standards.
• Developing and qualifying optically clear, scratch resistant coatings for functional metal surfaces.
• Strength-to-Weight Optimization: Developing lightweight metallic solutions that maintain structural integrity under extreme loading conditions.
• Ensuring consistent metallurgical and coating properties across global supply chains during rapid production ramps.
• Balancing the mechanical and reliability requirements of alloys with the rigorous cosmetic standards required for premium consumer finishes.

Candidate Qualifications

• 10+ years of deep expertise in metallurgy, metals engineering, or surface engineering, specifically focused on alloy development and advanced coatings/finishes for high-volume manufacturing.
• Formal Metallurgist qualification or degree in Metallurgical Engineering, Materials Science, or a related field; Masters or PhD preferred, but not required.
• Proven track record of shipping complex metallic components in the consumer electronics, medical, aerospace, or automotive industries.
• Expertise in the metallurgy of Titanium
• Demonstrated ability to translate fundamental materials science into scalable engineering solutions for mass production

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1: $198,050 - $267,950

The Security team ensures that our users, employees, and platform are protected from malicious activity and accidental data exposure. We build secure-by-default systems, frameworks, and tooling that enable engineering teams to ship fast without compromising trust. Our focus includes least-privilege access, scalable detection and alerting, automation to eliminate entire classes of risk, and security that grows with the business.

We are seeking a Principal Security Engineer to provide technical leadership and execution across a complex, global, high-growth SaaS environment. This is a senior individual contributor role reporting to the Head of Security, with accountability for defining security architecture, setting technical direction, and driving cross-company alignment between Security, Engineering, Product, and Executive leadership.

You are both a strategist and a builder: setting long-term vision while remaining deeply hands-on with system design, security architecture, and critical incidents.

This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.

What you’ll achieve:

• Define and deliver the Security Engineering technical strategy and multi-year roadmap aligned with Asana’s product, platform, and business priorities.
• Raise the technical bar across security engineering through design and risk reviews, hands-on mentorship, and clear standards.
• Partner with senior leaders across Engineering, Product, and Infrastructure to improve Asana’s overall security posture.
• Develop security policies, processes, and procedures that scale with a growing, global engineering organization.
• Help grow the security engineering team through recruiting and interviewing.
• Stay ahead of the threat landscape and support teams building new features and technologies to ensure they are secure by design.

About you:

• 10+ years in a security-related engineering role, with 3+ years in a staff or principal-level role.
• Experience as a technical lead across multiple teams, influencing direction beyond direct ownership.
• Strong software engineering background, with the ability to engage deeply in system design, security architecture, and complex technical trade-offs.
• Deep understanding of application and platform risks (e.g., OWASP Top 10), identity and access controls (OAuth, OIDC, SAML), and modern attack patterns.
• Significant, hands-on experience securing cloud environments at scale, especially AWS.
• You excel at evaluating security trade-offs, making pragmatic, risk-informed decisions, and communicating those decisions clearly to technical and non-technical stakeholders.
• Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making

At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

What we’ll offer

Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.

For this role, the estimated base salary range is between $336,000 - $395,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.

In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:

• Mental health, wellness & fitness benefits
• Career coaching & support
• Inclusive family building benefits
• Long-term savings or retirement plans
• In-office culinary options to cater to your dietary preferences 

These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role.

#LI-Hybrid

Scope and mission: 

• Drive the design and operation of Gradient AI platform, focusing on delivering a simple and innovative agent development experience with best of breed scale, performance, and predictability. 
• Drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.

Key Responsibilities:

• Architect and Build
• Design and evolve the architecture for our agent development experience including code integration, evaluations, observability, tools, and cross-agent interactions. 
• Drive initiatives to deliver an architecture optimized for scalability, reliability, low-latency, and cost efficiency.
• Manage and evolve our benchmarking system to continuously raise the bar on our experience.
• Roll out new services by taking on a hands-on lead role as required to ensure timely delivery. 
• Technical Leadership
• Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the AI/ML engineering teams.
• Establish best practices for design, testing, deployments, instrumentation, and performance tuning.  
• Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.
• Cross-functional Collaboration
• Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.
• Guide customer-facing teams (e.g., consultants, support, sales engineers) to shape AI modernization initiatives via agents. 
• Reliability, Performance & Scaling
• Lead Operations Excellence for our Agent development platform, establish mechanisms and processes that scale to the engineering organization while raising the bar. 
• Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery.
• Drive AI-driven automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations
• Innovation & Future Roadmapping
• Drive development of internal tooling leveraging agents across the company, contributing towards increased efficiency and quality across all aspects of engineering.  
• Serve as subject matter expert on new agent development paradigms and lead implementation of mechanisms to productize them.

Qualifications:

• Domain Expertise: Hands-on experience designing and operating production-grade AI/ML platforms using the latest GenAI and Agent-development technologies.
• Technical Experience: 10+ years in designing and building applications on the cloud with 5+ years experience in AI/ML platforms
• Leadership & Collaboration: Prior experience as a technical visionary in large-scale, mission-critical projects; ability to align technology strategy with business impact.
• Operational excellence: Expertise in driving operational excellence via automation and best practices.
• Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams.

Compensation Range:

• $272,448 - $340,560

*This is a remote role

#LI-Remote

#LI-SK1 

As a Principal Engineer you'll spearhead the design, development, and operation of scalable, high‑availability, and high-performance database platforms across relational and non-relational managed services (Managed MySQL, Postgres, MongoDB, etc.) and scale-out variants that scale to petabytes of data. Drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.

Key Responsibilities:

• Architect and Build
• Design and evolve the architecture of large-scale distributed database systems optimized for scalability, reliability, low-latency, and cost efficiency.
• Architect solutions for storage engines, indexing, querying, caching, replication, and high availability, drawing from best practices in both relational and NoSQL paradigms.
• Roll out new services by taking on a hands-on lead role as required to ensure timely delivery 
• Technical Leadership
• Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the database engineering teams.
• Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.
• Cross-functional Collaboration
• Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.
• Guide customer-facing teams (e.g., consultants, support, sales engineers) to define database solutions and migration strategies aligned with organizational goals
• Reliability, Performance & Scaling
• Lead Operations Excellence for database services, establish mechanisms and processes that scale to the engineering organization while raising the bar 
• Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery for database platforms.
• Drive automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations
• Innovation & Future Roadmapping
• Research and integrate advanced capabilities (e.g., AI‑assisted tooling, MCP protocols) to enhance developer workflows and metadata accessibility across database types.

Qualifications:

• Technical Experience: ≥ 12–15 years in distributed systems architecture, database internals (storage, indexing, query optimizers), and cloud infrastructure.
• Domain Expertise: Hands-on experience designing and operating production-grade systems on one or more database services in the Cloud.
• Leadership & Collaboration: Prior experience as a technical visionary in large-scale, mission-critical projects; ability to align technology strategy with business impact.
• Automation Proficiency: Familiarity with infrastructure as code, deployment pipelines, and observability frameworks.
• Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams.

Compensation Range:

• $247,680 - $371,520

*This is a remote role

#LI-Remote

#LI-SK1

Want to help us help others? We’re hiring! 

GoFundMe is the world's most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes, for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! GoFundMe is searching for a Senior Staff Software Engineer for Identity Platform to serve as the technical leader driving the architecture, scalability, and reliability of our identity platform, the foundational layer that every product team, enterprise customer, and internal service builds on. Your work will directly shape how millions of people trust and interact with GoFundMe, and how engineering teams across the company build identity-dependent features with confidence.

As a key technical leader, you will have the opportunity to define how consumer and enterprise identity converge into a unified, secure platform, driving impact for the company, the engineering organization, and the people we serve. Join us if you are excited to own a meaningful systems problem end-to-end while making a direct impact on trust, personalization, and the causes that matter most.

This is a hybrid role that requires 3 days per week at the office, and we are therefore only able to consider candidates who are located or willing to relocate to San Francisco, CA.

The Job

• Define and evolve the end-to-end identity architecture spanning authentication, authorization, session management, and token lifecycle across consumer and enterprise contexts.
• Establish trust boundaries, integration contracts, and platform primitives that make the secure path the default path for every team consuming identity services.
• Make principled build-vs-integrate decisions across vendor (e.g., Descope, Auth0, Okta) and in-house systems, owning the tradeoffs and migration paths.
• Design repeatable, self-service enterprise identity onboarding (SSO, SCIM provisioning, multi-tenant trust) so that each new partnership does not require bespoke integration.
• Architect federation and provisioning patterns that support GoFundMe’s growing enterprise and nonprofit partnerships.
• Own the consumer identity lifecycle including account continuity, progressive trust, confidence scoring, and anonymous-to-authenticated transitions.
• Build identity resolution capabilities (visitor stitching, account linking, confidence-weighted models) that power personalization and fraud prevention.
• Own the identity platform technical roadmap, prioritizing initiatives based on user impact, enterprise requirements, compliance obligations, and technical feasibility.
• Set integration standards and publish platform APIs and SDKs that enable product engineering teams to consume identity correctly without absorbing auth complexity.
• Mentor engineers across the Identity team and the broader Platform Tribe; raise the bar on system design, security thinking, and operational rigor.
• Contribute to system reliability through on-call participation, incident response leadership, and postmortem-driven improvements to identity infrastructure.
• Communicate architecture decisions, tradeoffs, and roadmap progress clearly to engineering leadership, product partners, and cross-functional stakeholders.

You

• 8+ years of software engineering experience, with significant time at senior, staff, or principal levels working on platform or infrastructure systems.
• Deep, hands-on expertise with identity protocols and standards: OAuth 2.x, OpenID Connect, SAML 2.0, and SCIM.
• Track record of designing and shipping identity or auth platforms that other engineering teams depend on in production.
• Experience architecting systems using federation standards, session/token management patterns, and well-defined trust boundaries, with an eye toward minimizing the cost of future change.
• Strong security instincts: you threat-model as you design, understand credential risk and account takeover patterns, and build systems where the secure path is the easy path.
• Proficiency in relational database design and data modeling for identity systems, including schema evolution strategies for high-availability environments.
• Demonstrated ability to lead projects from ambiguity through delivery, balancing technical depth with business context and keeping teams aligned across organizational boundaries.
• Strong observability and reliability skills: experience with monitoring, alerting, and incident response for mission-critical identity infrastructure.

Preferred

• Hands-on experience with commercial identity platforms (Descope, Auth0/Okta, Ping, or comparable) in production, including migration between providers.
• Experience spanning both enterprise and consumer identity contexts, such as at fintech, SaaS, payments, or identity-forward companies.
• Familiarity with advanced authorization models: RBAC, ABAC, ReBAC, or policy engines such as OPA/Cedar.
• Experience with compliance and audit requirements relevant to identity systems (SOC 2, PCI DSS, GDPR, CCPA) and data residency considerations.
• Practical experience deploying and operating identity services on cloud infrastructure (AWS, GCP, or Azure) at scale.
• Contributions to identity standards bodies, open-source identity projects, or published thought leadership in the IAM space.

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

The annual U.S. salary range for this full-time position is $262,800 - $321,200, [Include for sales roles only: which may include potential sales incentive payments. Your recruiter can share more about the specific OTE structure for this position during the hiring process]. The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Metaview as part of our hiring process for jobs in NYC and certain features may qualify it as an automated employment decision tool (AEDT), as defined by New York City Local Law 144. As part of the hiring process, we provide Metaview with job requirements and candidate submitted resumes and application materials to assist in evaluating job-related qualifications. While this tool is used to improve efficiency and support our recruiting personnel, all final hiring decisions are made by GoFundMe employees.

We began using Metaview on March 10, 2026. The Metaview tool has been reviewed by an independent auditor. Results of the audit may be viewed here. The tool evaluates your professional experience, technical skills, education, and other qualifications using information collected directly from your submitted resume and application materials; all such data is retained in accordance with GoFundMe’s Personnel Privacy Notice and applicable legal requirements. If you would like to request an alternative selection process or a reasonable accommodation, please contact accommodationrequests@gofundme.com.

Please note: This position is not eligible for immigration sponsorship. 

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.

Principal Quality Automation Architect

The Principal Quality Automation Architect designs and scales Accordion's automated quality framework across products, services, and AI-enabled workflows. This impactful role will be critical in owning the architecture behind automated validation, test harnesses, evaluation pipelines, test data strategy, and cross-pod tooling standards.

This position will ideally be based in one of our US offices and is a hybrid role with the flexibility to work remotely 2 days per week (also eligible for remote candidates).

This position is not eligible for immigration sponsorship.

What You’ll Do:

Automation Architecture

• Design and implement the core automation framework for functional, API, integration, regression, and workflow testing
• Define standards for reusable test assets, environment usage, data setup, and evidence capture
• Create scalable approaches to testing complex, multi-system workflows

AI Evaluation Infrastructure

• Build and maintain regression harnesses for AI-enabled features, including prompt and workflow comparisons, scored evaluation runs, and benchmark execution
• Partner with AI quality analysts to support rubric-based testing and measurable release criteria

Test Data & Environment Strategy

• Define approaches for test data, synthetic data, masked data, and scenario generation
• Improve reliability and repeatability of validation environments

Engineering Partnership

• Work closely with software engineers to improve testability, observability, CI/CD integration, and defect prevention
• Help pods move quality checks earlier in the development lifecycle

You Have:

• 7+ years of experience in QA automation, SDET, or quality engineering roles, with a focus on scale, repeatability, and leverage
• Strong experience with test automation frameworks, API testing, CI/CD, and integration validation – you are systems-minded and deeply technical
• Strong scripting or coding skills
• Experience working with data-intensive or workflow-heavy applications
• Exposure to AI or LLM validation tooling or strong interest in building in that space
• Ability to design frameworks, not just individual tests, and comfortability setting standards that others adopt
• Commitment to balancing sophistication with delivery pace
• Bachelor's degree preferred

You Are:

• Excited to be part of a growing team, with a focus on driving future growth
• Passionate about delivering exceptional client service
• Knowledgeable about the relationship between Private Equity sponsors and their portfolio companies, particularly within the office of the CFO
• Willing to get your hands dirty in the details of a project while simultaneously seeing the whole picture
• Comfortable managing projects with multiple complex workstreams while also focused on your single workstream (you are managing and doing)
• A self-starter with a strong work ethic
• Full of entrepreneurial spirit and comfortable in a fluid, flat organization
• Able to effectively communicate complex issues and solutions, and raise issues to senior team members when necessary
• A team player, able to work with team members across all levels
• Someone who enjoys mentoring others and doing meaningful work
• A leader of others; you lead by example

The annual salary for this role ranges from: $150,000 to $190,000 + benefits + bonus.

Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-HA1

About the Role

As a Distinguished Engineer / Technical Fellow, you will be the primary architect of Armada’s long-term technical vision. This is a "builder-leader" role for a world-class technologist who possesses a deep, fundamental understanding of data center architecture, high-density compute, and massive-scale AI infrastructure. You will solve the most difficult technical hurdles across our core product suite while leading the R&D for "Next Horizon" projects, such as Data Centers in Space. Beyond internal development, you will act as a key technical diplomat, collaborating with our most strategic industry partners to design deep-tech solutions that deepen Armada’s product adoption and expand our reach into entirely new frontiers.

Location: Bellevue, WA / San Francisco, CA / Remote

What You'll Do (Key Responsibilities)

Required Qualifications:

• Core Infrastructure Mastery: Deep understanding of Data Center operations, Compute architectures (CPU/GPU/NPU), and AI Infrastructure at scale. You should understand the full stack from silicon to the orchestration layer.
• Experience: 15+ years of software engineering experience, with a proven track record as a Distinguished Engineer, Fellow, or equivalent senior technical leader at a major infrastructure or AI company.
• Distributed Systems Mastery: Expert-level knowledge of distributed systems and data storage in resource-constrained, remote, or "denied" environments.
• Systems Programming: Mastery of Go, C++, or Rust, with a deep understanding of how software interacts with physical compute hardware and non-terrestrial networking layers.
• Ecosystem Influence: Proven ability to work across company lines with partners to build "1+1=3" technical solutions that drive adoption and industry standards.

Preferred Qualifications:

• Deep understanding of networking stacks, specifically optimization for satellite and terrestrial mesh networks.
• Interest or experience in orbital mechanics, radiation-tolerant software design, or space-based communication protocols.
• Experience building "Day 2" operations for fleets of thousands of remote, distributed devices in harsh environments.

Compensation

For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications.

In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request).

Benefits

• Competitive base salary and equity
• Medical, dental, and vision (subsidized cost)
• Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
• Retirement plan options, including 401(k) and Roth 401(k)
• Unlimited paid time off (PTO)
• 14 paid company holidays per year

#LI-SM2

#LI-Hybrid

About the Role

As a Distinguished Engineer / Technical Fellow, you will be the primary architect of Armada’s long-term technical vision. This is a "builder-leader" role for a world-class technologist who possesses a deep, fundamental understanding of data center architecture, high-density compute, and massive-scale AI infrastructure. You will solve the most difficult technical hurdles across our core product suite while leading the R&D for "Next Horizon" projects, such as Data Centers in Space. Beyond internal development, you will act as a key technical diplomat, collaborating with our most strategic industry partners to design deep-tech solutions that deepen Armada’s product adoption and expand our reach into entirely new frontiers.

Location: Bellevue, WA / San Francisco, CA / Remote

What You'll Do (Key Responsibilities)

Required Qualifications:

• Core Infrastructure Mastery: Deep understanding of Data Center operations, Compute architectures (CPU/GPU/NPU), and AI Infrastructure at scale. You should understand the full stack from silicon to the orchestration layer.
• Experience: 15+ years of software engineering experience, with a proven track record as a Distinguished Engineer, Fellow, or equivalent senior technical leader at a major infrastructure or AI company.
• Distributed Systems Mastery: Expert-level knowledge of distributed systems and data storage in resource-constrained, remote, or "denied" environments.
• Systems Programming: Mastery of Go, C++, or Rust, with a deep understanding of how software interacts with physical compute hardware and non-terrestrial networking layers.
• Ecosystem Influence: Proven ability to work across company lines with partners to build "1+1=3" technical solutions that drive adoption and industry standards.

Preferred Qualifications:

• Deep understanding of networking stacks, specifically optimization for satellite and terrestrial mesh networks.
• Interest or experience in orbital mechanics, radiation-tolerant software design, or space-based communication protocols.
• Experience building "Day 2" operations for fleets of thousands of remote, distributed devices in harsh environments.

Compensation

For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications.

In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request).

Benefits

• Competitive base salary and equity
• Medical, dental, and vision (subsidized cost)
• Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
• Retirement plan options, including 401(k) and Roth 401(k)
• Unlimited paid time off (PTO)
• 14 paid company holidays per year

#LI-SM2

#LI-Remote

About the Role

As a Distinguished Engineer / Technical Fellow, you will be the primary architect of Armada’s long-term technical vision. This is a "builder-leader" role for a world-class technologist who possesses a deep, fundamental understanding of data center architecture, high-density compute, and massive-scale AI infrastructure. You will solve the most difficult technical hurdles across our core product suite while leading the R&D for "Next Horizon" projects, such as Data Centers in Space. Beyond internal development, you will act as a key technical diplomat, collaborating with our most strategic industry partners to design deep-tech solutions that deepen Armada’s product adoption and expand our reach into entirely new frontiers.

Location: Bellevue, WA, San Francisco, CA , or Remote

What You'll Do (Key Responsibilities)

Required Qualifications:

• Core Infrastructure Mastery: Deep understanding of Data Center operations, Compute architectures (CPU/GPU/NPU), and AI Infrastructure at scale. You should understand the full stack from silicon to the orchestration layer.
• Experience: 15+ years of software engineering experience, with a proven track record as a Distinguished Engineer, Fellow, or equivalent senior technical leader at a major infrastructure or AI company.
• Distributed Systems Mastery: Expert-level knowledge of distributed systems and data storage in resource-constrained, remote, or "denied" environments.
• Systems Programming: Mastery of Go, C++, or Rust, with a deep understanding of how software interacts with physical compute hardware and non-terrestrial networking layers.
• Ecosystem Influence: Proven ability to work across company lines with partners to build "1+1=3" technical solutions that drive adoption and industry standards.

Preferred Qualifications:

• Deep understanding of networking stacks, specifically optimization for satellite and terrestrial mesh networks.
• Interest or experience in orbital mechanics, radiation-tolerant software design, or space-based communication protocols.
• Experience building "Day 2" operations for fleets of thousands of remote, distributed devices in harsh environments.

Compensation

For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications.

In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request).

Benefits

• Competitive base salary and equity
• Medical, dental, and vision (subsidized cost)
• Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
• Retirement plan options, including 401(k) and Roth 401(k)
• Unlimited paid time off (PTO)
• 14 paid company holidays per year

#LI-SM2

#LI-Hybrid

About the Role:

As a Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These platforms power essential services like personalized recommendations, search, and content understanding across Tubi.

A core responsibility of this team is developing and maintaining low-latency ML model serving systems that support Deep Learning, LLM, and Search models. This involves building self-service infrastructure and critical components such as the inference engine, feature store, vector store, and experimentation engine.

You will improve the way we deploy and operate our services and even contribute to open-source projects. This role grants the architectural freedom to explore new frameworks, lead critical cross-functional projects, and transform the capabilities of our ML and Product teams.

We currently have multiple openings;

• Staff Software Engineer
• Principal Software Engineer
  • Additional Details: As a Principal Engineer on the ML Infrastructure team, you will be a technical leader and visionary, driving the evolution of our machine learning platform. You will tackle the most complex and impactful technical challenges, shaping the architecture and technology choices that enable our ML capabilities to scale and deliver exceptional user experiences. You will be a key influencer, bridging the gap between engineering and product, and a mentor to senior engineers, fostering a culture of technical excellence and continuous improvement. Your work will be used by millions of users.

Responsibilities:

• Design and build scalable, high throughput, and low latency distributed systems using Scala
• Build reusable components and services that serve various ML applications like Personalization, Search, Ads and Exploration
• Partner closely with ML engineers to understand their challenges and limitations and develop scalable solutions to address them. Proactively recommend solutions to keep our ML Inference stack state of the art.
• Take a data driven approach to identifying & optimizing latency, cost, and efficiency of our infra. Lead large scale cross functional refactorings if necessary
• Mentor other engineers on the team on system design, effective incident management, interviewing, leveraging LLMs for work, etc.
• Collaborate with ML, Product, and cross functional engineering teams to define the long term vision and architecture for ML Infrastructure at Tubi.  

Your Background:

• Experience designing and building scalable, distributed systems in any modern backend language (e.g., Scala, Java, Python, Go, C++); experience with Scala or JVM based language is a plus.
• Strong experience with AWS or an equivalent cloud platform
• Experience building online microservices at scale with low latency serving
• Experience with both SQL (e.g. Postgres) and NoSQL databases (e.g. Cassandra), message brokers (e.g. Kafka), and caches (e.g. Redis)
• Experience with containerization technologies, such as Docker or Kubernetes
• Led the response and resolution efforts for multiple major, large-scale incidents

Bonus:

• Familiarity with the machine learning infrastructure like inference engines (e.g. torschserve, triton, vLLM), vector stores (e.g. LanceDB, FAISS), feature stores (e.g. Feast), ElastiCache, model training orchestration, etc.
• Understanding of ML model training pipelines and model internals. Experience with Recommender Systems, Search, Autocomplete and Ads ML is a plus
• Previous experience with Akka, Erlang, Elixir or Go
• Proficient in data-driven analysis of complex A/B testing results

About Tubi:

Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

#LI-Hybrid

About the Role:

The Machine Learning team at Tubi drives the innovation behind personalized user experiences.  With the largest inventory in the industry and hundreds of millions of viewers, we tackle problems in the space of recommendations, search, content understanding and ads optimization that shape the future of streaming.

We are seeking a highly skilled Machine Learning Engineer to contribute to transformative projects in video personalization. In this role, you will design and implement advanced algorithms and systems to improve our personalization strategy. As a senior technical expert, you will tackle complex problems in machine learning at scale, collaborating closely with cross-functional teams to develop and optimize machine learning-driven solutions.

What You'll Do:

• Lead the design, development, and implementation of advanced recommendation systems and algorithms for a global audience
• Conduct deep dives into algorithmic components and systems, ensuring that models are optimized for both performance and scalability across multiple regions and product areas
• Build and deploy high-impact robust ML pipelines, including data extraction, feature development, model training, testing, and deployment
• Continuously monitor, evaluate, and optimize the performance of deployed models, ensuring they meet business goals and provide high-quality user experiences.
• Work closely with Product, Engineering, and Data Science teams to align on product requirements, set expectations, and deliver machine learning-driven solutions that improve user engagement

Your Background:

• 8+ years of industry experience building production Machine Learning systems
• MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field
• Experience with deep learning technologies for recommendation systems, including TensorFlow, PyTorch, or similar frameworks
• Proficiency in building and deploying full-stack machine learning pipelines: data extraction, data mining, model training, feature development, testing, and deployment.
• Solid understanding of statistical concepts such as hypothesis testing, regression analysis, and performance evaluation metrics for machine learning.
• Ability to deep dive into individual components and systems, as well as understand the overall architecture of machine learning solutions.

#LI-Hybrid #LI-SC1

Job Summary:

A Senior Partner Engineer, Databricks Alliance, is the principal technical advisor and advocate for the Sigma-Databricks partnership, both internally at Sigma and externally with Databricks. This role requires a deep, current, and comprehensive understanding of both the Sigma and Databricks products and the differentiated value they deliver together to joint customers. The Senior Partner Engineer provides technical thought leadership and strategic guidance across the partnership lifecycle, including: enabling technical sales and solution development, managing high-priority technical engagements, driving enablement for field teams, and contributing to overall revenue growth and customer success.

Responsibilities:

• Strategic Technical Alliance Leadership: Serve as the primary technical leader and advocate for the Sigma Computing/Databricks strategic alliance. Drive the mutual success of joint customers by ensuring seamless technical integration, optimal performance, and maximized utilization of the Databricks platform and Sigma.
• Deepen and Expand Stakeholder Relationships: Cultivate and maintain robust technical relationships with key personnel at Databricks, including Product Management, Partner Leadership, Solution Engineering, and Sales teams, to ensure strategic alignment, drive co-innovation, and facilitate joint account mapping.
• Joint Go-to-Market (GTM) Enablement and Execution: Proactively collaborate with Sigma's GTM teams to identify, qualify, and technically support strategic joint customer opportunities. Develop and champion compelling technical GTM solutions, reference architectures, and partner-facing enablement content (e.g., training, workshops, internal demos).
• Platform Integration and Future-Proofing: Proactively identify and scope high-value joint product opportunities and facilitate the handoff to the Partner Architect team for deeper technical engagement and development.
• Cross-Functional Technical Subject Matter Expert (SME): Act as the internal authority on the Databricks platform, providing expert technical guidance and training to Sigma's Sales Engineering, Product, and Engineering teams on best practices for leveraging Databricks features in conjunction with Sigma. Own the creation and maintenance of technical resources for the field, including deep-dive enablement sessions (e.g., HOLs, workshops).
• Content and Event Technical Leadership: Lead the technical creation of joint thought-leadership content, including webinars, blogs, solution briefs, demo vignettes, and presentations for major industry events (e.g., Data and AI Summit, Data and AI World Tours). Coordinate with Sigma’s Marketing and Demo Engineering teams to ensure high-quality technical representation at all joint GTM activities.
• Advanced Solution Development: Identify, design, and evangelize high-value, industry-specific technical solutions leveraging the combined capabilities of Sigma and Databricks, working with internal teams, Systems Integrator partners, and Databricks Industry Leads and Field CTOs to package these solutions for field consumption.

Qualifications:

• 5+ years of experience in a highly technical customer-facing or partner-focused role, such as Technical Alliance Management, Solution Engineering, Product Management, or Technical Consulting.
• Deep and current hands-on experience with the Databricks Data Intelligence Platform is mandatory. Proven understanding of its core architecture, features, and ecosystem integrations.
• Strong technical background in data analytics, data warehousing, business intelligence, and cloud data platforms.
• Prior Data Engineering and Front-End Software Development experience is preferred.
• Prior experience working with BI and Analytics platforms is required; experience with Sigma Computing is a plus.
• Proven ability to develop and maintain strong, mutually beneficial technical relationships with key stakeholders at major partner organizations (e.g., Product, Engineering, Partner Sales).
• Exceptional communication and presentation skills, with the ability to translate complex technical concepts into clear, compelling business value for both technical and non-technical executive audiences.
• Demonstrated ability to be a self-starter who thrives in a fast-paced, high-growth startup environment and can manage multiple priorities independently.
• Willingness to travel up to 50% of the time for partner and customer engagements, and company/industry events.

The Role

We are looking for an innovative and entrepreneurial Principal Software Engineer to join our Builder Tools engineering organization.  In this role, you will have the opportunity to directly influence, impact and lead the technical strategy and architecture of our next generation internal developer platform in an AI-first SDLC. Your work will elevate developer experience by enabling SoFi engineers with AI enabled development practices and tooling. You will have the opportunity to define and solve challenging problems in a fast-paced, highly collaborative and innovative organization. The ideal candidate will be a thought leader in the Developer Tooling domain, mentor, and team player who is hands-on in driving solutions from inception to implementation, and enabling organizational change and adoption with a strong drive for customer success. 

What You’ll Do:

• Technical leadership - Provide thought leadership for the technical architecture, design, and delivery for AI enabled tools across the SDLC including plan, code, test, build, deploy, observe and remediate.
• Strategic Partnership  - Serve as a key strategic technical advisor to leadership, influencing roadmap, participating in planning sessions, and ensuring alignment with business objectives.
• Innovate - Collaborate with cross-functional teams to drive innovation and advancements in AI assisted developer productivity flows.
• Operational Excellence - Be a subject matter expert, role model practitioner across the developer tooling domain including operational excellence. Drive observability strategy and practices, including SLOs, and guiding teams on critical incident resolution, root-cause analysis and remediation.
• Mentor - Collaborate with engineers across the Platform organization, provide mentorship, and expertise to enhance the overall technical capabilities of teams.
• Continuous Improvement - Contribute to creating a culture of continuous learning, data-driven decisions and improvements. Proactively identify and manage risks.
• Collaborate – Build strong working relationships with coworkers, cross-organizational leaders, including engineering managers and product managers.
• Influence - Be a change agent influencing and scaling the adoption of AI-enabled developer tooling and best practices across the engineering organization.

What You’ll Need:

• Education - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
• Experience - 10+ years of professional software development experience, including 2+ years in a technical leadership role. 
• Domain  Expertise -  Expertise in AI tools (e.g., Claude Code, Windsurf, Cursor), infrastructure (e.g., MCP, AWS Bedrock, RAGs, vector dbs) and agent frameworks (e.g. Langchain, Langgraph, CrewAI)
• Technical Expertise - Experience developing in a cloud environment (AWS), using containers (e.g., Docker, Kubernetes), cloud-native technologies and service meshes (e.g., Istio, Envoy). 
• Innovation - Proven track record devising and launching creative solutions to developer experience challenges.
• Design and Problem solving - Strong understanding of software design principles, and distributed systems architecture.
• Coding Skills - Proven proficiency shipping enterprise applications in one or more programming languages (Go, Python, Java, Kotlin, etc.)
• Communication and Collaboration - Exceptional verbal and written communication, with the ability to articulate complex technical concepts to diverse audiences at varying levels, including executives, cross-functional managers, and engineers.
• Project Leadership - Ability to own, manage and deliver complex projects from scoping through launch. Experience leading Agile development practices.
• Security and Compliance (Preferred) - Familiarity with security standards, compliance (SOC2, PCI, HIPAA) and risk management frameworks relevant to financial and regulated industries.

The Role

SoFi is seeking a Principal Engineer to lead the technical and architectural evolution of our Member Growth platforms — the systems that power member acquisition and engagement for every product across the company. 

Key contributions of this role include:

• Architect agentic and AI-driven systems; define evaluation strategy and drive quality, safety, and compliance of AI workflows in a regulated environment.
• Define and drive long-term architectural direction across Member Growth platforms: campaign automations, communications, marketing data, and web/mobile acquisition.
• Lead cross-organizational platform convergence — building shared primitives that multiple product lines consume while preserving each team’s flexibility.
• Identify and resolve systemic technical problems across teams; drive alignment to deliver on business and strategic goals.
• Raise engineering maturity: design review rigor, operational standards, and mentorship loops that develop senior ICs into technical leaders.
• Collaborate with Product, Marketing, Data Science, Business, Legal, and Compliance to align technology strategy with short and long-term goals.

What You’ll Do

• Architect the next generation of Campaign Automations platform — AI-driven targeting, personalization, and customer journey orchestration at scale.
• Design the unified communications architecture for member engagement at scale with compliance-grade correctness.
• Define the evaluation strategy and drive quality, reliability, safety, and observability of AI-driven workflows in a regulated financial environment.
• Lead cross-organizational platform convergence — shared architectural primitives across organizations with different stacks and competing priorities.
• Establish operational integrity standards: automated verification, reconciliation mechanisms, and self-healing infrastructure that prove these platforms are correct.
• Prototype and ship using AI tools; push the team toward AI-native engineering practices.
• Build engineering culture: rigorous design reviews, clear standards, incident-to-prevention feedback loops, and mentoring senior engineers into technical leaders.

What You’ll Need

• Bachelor’s or Master’s in Computer Science, Software Engineering, or equivalent.
• 10+ years software engineering experience, including 8+ years in technical leadership driving cross-team strategy.
• Deep expertise in event-driven, high-scale distributed systems — failure modes, consistency tradeoffs, reconciliation, and compliance-grade audit trails.
• Proven cross-team technical leadership tied to business goals; exemplary communication and executive-level representation skills.
• Hands-on technical leadership who is willing to roll up your sleeves to design, prototype, and ship critical features in production.
• Proficient in Java, Kotlin, or Go; hands-on with Kafka, Docker, Kubernetes, and Spring Boot or similar.
• Experience with public cloud infrastructure (AWS preferred); strong fundamentals in relational and document databases, microservices, and high-availability design.

Nice To Have

• Experience building marketing, advertising, or communications platforms — multi-tenant or consumer-facing at scale.
• Experience handling data at scale: event processing, storage, and querying for hundreds of millions of events and attributes per day.
• Experience building production AI agents or LLM-powered platforms — orchestration, evals, retrieval/grounding (RAG), and guardrails for regulated environments.
• Experience in financial services or regulated industries where compliance and data integrity are architectural requirements.
• Track record of platform convergence: unifying infrastructure across acquisitions, subsidiaries, or organizations with different technical stacks.

The Role

You will be the technical leader for Digital Identity at SoFi: the platform group that powers identity, authorization, and entitlements for every product and every member across the company. Digital Identity runs Tier-0 infrastructure: the highest criticality rating at SoFi. Every product line, banking, lending, investing, credit cards, crypto depends on these platforms to know who a member is, what they're entitled to, and what they're authorized to do. When these platforms are down, SoFi is down.You'll define the technical strategy for this group. You'll architect solutions for complex, ambiguous problems: multi-person access patterns, cross-organizational platform convergence, and data integrity at financial-services scale.

You'll build the engineering processes and culture that let a lean team operate Tier-0 infrastructure with confidence. And you'll push the boundaries of how we build, leveraging AI to accelerate development, prototype faster, and experiment with approaches that would have been impractical two years ago.

What You'll Own

Platform Technical Strategy: Digital Identity operates multiple Tier-0 platforms spanning identity resolution, entitlement management, and fine-grained authorization. You own the technical strategy across all of them: setting the architectural direction, executing and leading designs, and ensuring the platforms evolve as a coherent system rather than independent services.

Complex Authorization Architecture: SoFi is expanding into scenarios where multiple people interact with shared financial resources: across business, family, and custodial contexts. You'll design the unified platform architecture that handles these patterns at scale: consistent access models, compliance-grade audit trails, and enforcement of regulatory requirements. This is one platform problem with many product surfaces.

Cross-Organization Platform Convergence: SoFi operates and integrates with multiple technology organizations with overlapping identity and authorization infrastructure. You'll lead the architectural vision for convergence: a shared platform primitives that multiple organizations consume while preserving the flexibility each product line needs. This requires navigating competing priorities, different technical stacks, and organizational boundaries.

Operational Excellence & Data Integrity: Tier-0 financial platforms demand more than uptime. You'll architect the verification and reconciliation systems that prove these platforms are correct:  automated integrity checks, drift detection, and self-healing mechanisms. You'll establish the operational processes, incident response standards, and reliability practices that let the team ship with confidence and sleep at night.

Engineering Culture & Team Uplift: You'll raise the bar for how this team builds software. That means establishing rigorous design review processes, defining engineering standards that compound over time, mentoring senior ICs into technical leaders, and creating the feedback loops that turn incidents into prevention. You're not just the best engineer on the team: you're the reason the whole team gets better.

Strategic Investment Identification: You won't just execute on the roadmap handed to you. You'll identify the next set of high-leverage technical investments: where the platforms should go, what capabilities are missing, which emerging patterns (in authorization, in AI, in infrastructure) should be adopted before the business asks for them.

What We're Looking For

Required Qualifications 

• Distributed systems architecture at scale. You've designed and shipped platforms that other engineering teams depend on:  not just consumed services, but built them. You understand the failure modes of event-driven systems, eventual consistency, and cross-service data integrity. You've made hard tradeoffs between consistency, availability, and latency in production.
• Technical leadership with accountability built in. You don't just design systems: you design systems that prove they're correct. Reconciliation mechanisms, audit trails, integrity guarantees, automated verification. You've built infrastructure where "trust but verify" is architecture, not process.
• AI fluency and innovation. You actively use AI to build, prototype, and experiment. You've integrated AI-assisted development into your workflow and can articulate where it accelerates engineering and where it introduces risk. You push teams to adopt AI-native approaches to development not as a novelty, but as a competitive advantage in velocity and experimentation.
• Group-level influence and execution. You've driven technical strategy across multiple teams. You've navigated ambiguity where business goals were clear but the right technical problems to solve were not. You've represented your organization's technical direction to peer groups and senior / executive leadership.
• Engineering culture builder. You've established processes, standards, and practices that made entire teams more effective and not just shipped features yourself. You care about design review rigor, operational readiness, on-call excellence, and mentoring senior engineers into technical leaders.
• Ownership of outcomes, not just systems. You measure your work by what it enabled such as products shipped, risks eliminated, teams unblocked and not by the complexity of what you built.

Preferred Qualifications 

• Experience building identity & authorization platforms especially in multi-tenant or consumer-facing contexts. Familiarity with relationship-based access control models, fine-grained authorization systems, or identity federation infrastructure.
• Experience in financial services or regulated industries where compliance, audit trails, and data integrity are architectural requirements, not afterthoughts.
• Track record of platform convergence: merging or unifying infrastructure across acquisitions, subsidiaries, or organizations with different technical stacks.

What This Isn't

This is not a role for someone who wants to write code in a corner. You'll spend significant time on architecture, cross-team alignment, design reviews, and mentorship. You will write code and drive credibility with your depth but the highest-leverage output is the technical direction you set, the engineering culture you build, and the engineers you develop.

Why This Role?

• Scope. Digital Identity is horizontal infrastructure. Every product at SoFi depends on your platforms. A design decision you make affects millions of members.
• Hard problems. Multi-person financial authorization, cross-org platform convergence, data integrity at Tier-0 scale. These aren't optimizations: they're greenfield architecture for a company-wide platform.
• Visibility. Tier-0 means executives know when you ship and when you don't. Impact is not abstract here.
• Build + Lead. Deep distributed systems work and Group-level technical leadership. You’ll build both muscles, every week. You'll architect systems and build the team's engineering culture in equal measure.
• AI-forward engineering. We're not waiting for the industry to figure out how AI changes platform engineering. You'll help define that for Digital Identity, using AI to move faster, experiment more, and build systems that would have been impractical with traditional approaches alone.

About SoFi

SoFi is a member-first personal finance platform serving millions of members. We offer banking, lending, investing, insurance, and more – all in one app. Our engineering culture values ownership, accountability, and building platforms that scale across product lines rather than bespoke solutions per vertical.

Digital Identity is one of the most critical engineering groups at SoFi. We're a lean, senior team solving company-wide problems at the intersection of security, scale, and member experience.

The Team

Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals.

The industry is going through an unprecedented transformation, and we’re at the forefront. We are currently building SoFi Coach—our most ambitious initiative yet. SoFi Coach is an AI-native, agentic layer that will live across every SoFi product, transforming our platform from a set of financial tools into a proactive personal wealth manager. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, and we're looking for a pioneer to help us build the future of autonomous finance.

The Role

We’re looking for something new for SoFi: a Principal Product Designer (IC6) who makes agentic capabilities happen.

In one sentence — we want you to lead the design and execution of SoFi Coach, turning speculative AI capabilities into validated, agentic experiences that help our members get their money right. You will collaborate with Directors and VPs to influence cross-company strategy while staying deep in the weeds to prove what’s possible.

What You’ll Do

• Lead the SoFi Coach vision: Define the interaction patterns and UX strategy for a conversational interface that proactively manages debt, investments, and wealth optimization.
• Build to inspire: Create functional prototypes and MVPs using AI-native workflows (Claude Code, Cursor, etc.) to demonstrate "magic moments" to stakeholders and engineering partners.
• Act as an "un-invasive innovator": Partner with core engineering and product teams (Lending, Invest, Money) to accelerate their AI roadmaps without creating organizational friction.
• Push the possible: Use your technical savvy to challenge the status quo, pushing engineering teams to achieve higher craft and more ambitious execution in our AI implementations.
• Evolve the craft: Help lead the evolution of SoFi’s internal AI-enabled design workflow, creating skills and agents that benefit the entire design organization.
• Evangelize AI-native design: Contribute the frameworks and "vibe-coding" patterns that will drive AI product development company-wide.

Who You’ll Need

You are as much a technical founder as you are a product designer; at your core you are a problem solver, a craft virtuoso, and an AI-Native Builder. You move with a speed that defies traditional design lifecycles, collapsing the gap between a Figma mock and a functional prototype.

You thrive in high-velocity, high-impact teams, showcasing an entrepreneurial mindset and adaptability born from startup or high-growth environments. You are a power user of the modern AI development stack (Claude Code, Cursor, etc.), and you use these tools to build experiences that were impossible twelve months ago.

You are driven by impact that isn’t just tangible but meaningful. Helping everyday people build healthy money habits resonates with you; you believe that helping a family get out of debt, buy their first home, or optimize their tax strategy is a profound responsibility. That tension between rapid progress and high-stakes responsibility excites you.

• 10+ years of experience as a Product Designer, Technical Founder, and/or Design-Engineer, with a proven track record of driving 0-to-1 initiatives for high-scale consumer products.
• A "builder" portfolio: A public or private collection of functional projects you have personally built or contributed to using code and AI tools.
• Mastery of AI tooling: You are a power user of Claude Code, Cursor, and similar environments for rapid, iterative development.
• Strategic gravitas: Experience influencing cross-functional strategy at the executive level in a complex, fast-moving organization.
• Technical literacy: A strong understanding of software architecture, APIs, and agentic systems to ensure your contributions are both visionary and feasible.

Even Better

• Founded or grew a business or side hustle as a product/design thinker.
• Experience driving impact within a highly-regulated industry (Fintech, Healthtech, etc.).
• Deep experience with Agentic AI architectures, tool-calling logic, and RAG implementations.
• Professional background that blurs the lines between Design and Full-Stack Engineering.

The Role

We are seeking an experienced engineering leader with a proven track record of building customer-facing AI agents to help us create the next-generation financial guidance experience for 10M+ SoFi members.

This role is central to SoFi’s mission of becoming the most trusted guide in helping members Get Their Money Right. As a Principal Engineer, you will define the architecture and technical strategy for our financial guidance agent and lead its implementation across multiple workstreams.

You will work cross-functionally with engineering, product, data science, design, and business teams to build a scalable AI Agent that delivers personalized, trustworthy, and actionable financial guidance at scale.

What You’ll Do

• Define the technical strategy and architecture for AI Agent for Member, and lead cross-team system design and execution.
• Define the evaluation strategy and lead the implementation of systems and processes to measure, monitor, and improve AI agent quality and reliability.
• Drive quality, reliability, observability, safety and compliance of the AI Agent in a regulated environment.
• Partner closely with product, data science, design, and business leaders to translate product vision into scalable systems
• Mentor senior engineers and technical leads, and elevate engineering excellence across the org

What You’ll Need

• 10+ years of software engineering experience, including 2+ years experience building AI Agents or platforms for millions of users.
• Strong experience in building production AI Agents, including orchestration, evals, retrieval/grounding, and guardrails.
• Strong expertise in system architecture, platform design, and cross-org technical strategy
• Proven ability to lead ambiguous, high-impact initiatives across multiple teams
• A highly hands-on technical leader who leads by example and is willing to roll up your sleeves to design, prototype, and ship critical features in production.
• Excellent communication, stakeholder management, and mentoring skills
• Bachelor’s degree in Computer Science or related field, or equivalent practical experience

The Role

Join us in revolutionizing the lending landscape. SoFi is seeking enthusiastic Principal Software Engineers who are ready to lead the technical and strategic evolution of our financial services platform in support of our goals that put our members in control of their financial destiny. Key qualifications of this role include:

• Leading the development and execution of strategic org-wide or company-wide initiatives across multiple product or platform domains.

• Identifying and resolving systemic business, technical, or organizational problems that span multiple organizations across the company.

• Recognition as a subject matter across multiple product or platform domains with the ability to identify and lead the resolution of systemic issues.

• Ability to define the long-term architectural direction across all areas of the platform or across multiple products, aligning stakeholder teams around a shared vision and business goals.

• Ability to drive alignment across divisions to resolve technical and organizational conflicts in order to deliver on SoFi’s business and strategic goals.

• Raises the engineering maturity of the organization by identifying and leading key improvements in the organization's culture and processes that support engineering excellence

• Ability to identify and lead key improvements in systems supporting engineer productivity and velocity.

• Ability to collaborate with partners to create and align technology and company strategy, resulting in plans that address the short and long-term goals of the business.

• Mentors engineers across the organization, is a key contributor in recruiting processes, and helps shape hiring standards.

What You’ll Do

As a widely recognized technical leader across SoFi groups, you will partner across technology and business teams to define and execute the technical vision and strategy for the platform.  Your responsibilities include defining and building consensus around evolutionary roadmaps across the platform, strong individual contributions in coordinating and implementing those plans in stages that deliver distinct customer value, and leading improvements to the engineering efficiency and culture of engineering excellence across the team.  Success in the role will require building and maintaining effective partnerships with Product, Marketing, Operations, Business, Legal, and Compliance teams.  You will be a key leader in those partnerships, responsible for driving alignment and delivering technical solutions that provide outstanding value to our members.
 

What You’ll Need

• Bachelor's or Master's degree in Computer Science, or Software Engineering

• 10+ years as a professional, full-time Software Engineer, or similar relevant work experience.

• 7+ years in a technical leadership role.

• Proven track record of defining and leading cross-team initiatives in support of key business and strategic goals.

• Proven track record of leading initiatives to increase engineering productivity and improve engineering excellence.

• Exemplary communication and documentation skills.

• Proficient coding in Java, Kotlin, or other similar object-oriented programming language.

• Experience with public cloud compute, storage, and infrastructure.

• Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks.

• Deep understanding of relational and document database fundamentals.

• Deep understanding of microservices design principles and architecture.

• Deep understanding of scaling highly-available, mission-critical systems.

• Expert proficiency working with GIT and related CI/CD systems.

• Experience leading and improving Agile methodologies.

Nice To Have

• Experience with AWS technologies – DynamoDB, RDS, Lambda, Kinesis, SQS, S3, and Athena.

• Full-stack engineering experience, or willingness to expand your influence across our entire platform.

We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you.

We are looking for a Director of Machine Learning to lead the Machine Learning function for the Growth organization. This leader will define the long‑term ML vision, strategy and operating model that powers user and engagement growth across Pinterest’s surfaces and entry points.

You will oversee multiple teams of machine learning engineers and managers responsible for core Growth problems such as activation, retention, notifications, SEO, paid acquisition and lifecycle personalization. You’ll combine deep technical expertise with strong people leadership and product instincts to deliver industry‑leading methodologies in recommendation, ranking, experimentation, deep learning and generative AI. As the Director, Machine Learning for Growth, you’ll own the health, performance and evolution of our ML ecosystems across Growth. You’ll ensure our technology can deliver on the business and product requirements necessary to keep Pinterest as an engaging, inspiring platform for everyone. This means:

• Partnering with senior Product, Data Science, and Engineering leadership to set and execute a multi‑year strategy for Pinterest’s Growth systems.
• Defining a unified ML architecture and roadmap for Growth that leverages shared platforms while allowing fast iteration.
• Building, developing and retaining a world‑class team of machine learning leaders and engineers.
• Acting as a visible thought partner and spokesperson for Growth ML to executives and cross‑functional stakeholders.

You’ll also foster a healthy, inclusive community where ML practitioners across Growth can learn best practices, collaborate effectively and understand our technical direction.

What you’ll do:

• Own the ML strategy for Growth
• Define and communicate a clear multi‑year ML vision, technical strategy and investment roadmap for the Growth organization.
• Identify and prioritize the most impactful Growth opportunities where ML can transform user acquisition, activation, engagement depth and retention.
• Establish success metrics and frameworks for measuring the impact and quality of Growth ML systems.
• Lead and grow high‑performing ML teams
• Manage and develop managers and senior/principal ML engineers; grow and scale multiple ML teams supporting different Growth charters.
• Build an inclusive, high‑accountability culture focused on impact, learning and technical excellence.
• Scale your leadership through org‑wide best practices, processes, training and tools for ML development, deployment and experimentation.
• Drive execution on critical Growth initiatives
• Champion and lead large‑scale, cross‑functional initiatives that grow user visitation, activation and engagement depth, from ideation through execution.
• Ensure solid technical plans are in place for major Growth initiatives, including architecture, data strategy, measurement and risk management.
• Partner closely with Product, Engineering, Data Science, Marketing and Sales to align roadmaps and deliver cohesive, end‑to‑end Growth experiences.
• Shape our ML platforms and architecture
• Define a unified ML architecture for Growth, in partnership with central platform teams, that supports rapid experimentation and reliable, scalable production systems.
• Guide investments in foundational capabilities (feature platforms, training/serving infrastructure, experimentation, monitoring) that unlock leverage for all Growth teams.
• Ensure Growth ML systems follow best practices around reliability, performance, privacy and responsible AI.
• Influence across Pinterest
• Act as the primary ML point of contact for Growth with executive leadership and cross‑functional partners for a 125+ member org (and growing).
• Represent Growth ML needs and priorities in company‑wide planning, resource allocation and technical forums.
• Evangelize responsible and quality‑first discovery surfaces that drive user visitations while upholding Pinterest’s values.

What we’re looking for:

• Deep expertise building and operating large‑scale ML systems in production, using modern frameworks (e.g., deep learning, recommendation/ranking systems, reinforcement learning, generative AI).
• Demonstrated success driving Growth or adjacent problem spaces (e.g., activation funnels, notifications, lifecycle marketing, SEO, paid acquisition, or large‑scale consumer engagement).
• Proven track record of leading multiple ML teams or organizations, including managing managers and setting strategy across a broad portfolio of projects.
• Experience defining and executing multi‑year technical strategies and roadmaps, and delivering large, cross‑functional initiatives across multiple organizations.
• Strong product sense and ability to translate ambiguous business questions into well‑structured ML problems and experiments.
• Exceptional written and verbal communication skills, with a proven ability to influence senior leaders and collaborate cross‑functionally.
• Commitment to building responsible, user‑centric ML systems with high quality, fairness and safety standards.
• Degree in Computer Science, Machine Learning, Statistics or a related field, or equivalent practical experience.
• 12+ years of professional experience as a hands‑on engineer and technical leader, including 5+ years in people leadership roles (managing managers and senior ICs).

Nice To Have:

• Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring.
• Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration.

In‑Office Requirement Statement:

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• 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.

Relocation Statement:

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

#LI-REMOTE
#LI-AK7

Your Impact at LILA

Join us in shaping the future of science! We are seeking Sr Principal, and Principal Software Engineers with full stack experience to join our software org, where you’ll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. Our teams span across App, Data, SSR, and LaS with a strong emphasis on Python development for scientific applications. If you thrive in a collaborative, fast-paced environment and bring best practices in git, development workflows, and user-centered design, we want to hear from you!

Our Software Teams

The Application Team (App)- They build the operating system for AI-driven science. Their platform unifies Machine Learning, Life Sciences, Physical Sciences, and Software into one AI-native experience — where a scientist can go from hypothesis to experiment to result in a single conversation. They ship the agents, the integrations, and the interfaces that make that possible.

The Scientific System of Record Team (SSR) - They build the memory layer for Lila's operations. It answers two questions:what did we plan to build? and what actually happened? These systems connect scientific intent to physical reality. Together with the data and automation teams, their systems ensure reproducibility and close the Design-Build-Test-Learn (DBTL) loop.

The Lab as Software Team (LaS)- They act as the physical and virtual execution layer for Lila's AI-driven science. This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments. This team owns the full stack of lab integration: orchestration of labflows, instrument integrations, bi-directional data transfer, and the UI/UX that AI scientists and operators use to interact with the lab.

The Data Platform Team (Data)- They build and support the data systems that underpins Lila's AI Science Factory™. Every experiment run in our labs, every measurement from an instrument, and every signal from our operational systems flows through the platform they build. Their work spans real-time ingestion, large-scale analytical storage, workflow orchestration, and the self-service tools scientists, engineers, and ML teams use to go from raw measurements to discoveries. They build the data backbone of Scientific Superintelligence™, so the science moves faster and each experiment makes the next one smarter.

What You'll Be Building

• Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.
• Database Architecture & Scaling: Develop schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability.
• Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.
• Performance & Reliability: Diagnose and optimize system bottlenecks, ensuring high availability and low-latency performance across large-scale workloads.
• Cloud & Infrastructure: Leverage AWS services, Kubernetes and modern DevOps practices to build and deploy production-grade systems at scale.
• Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.

What You'll Need To Succeed  

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 8-15 years of engineering experience building and deploying large-scale systems in production. You must be strong in either front-end or backend.
• Full Stack Development: Experience developing web apps across the full stack (React, TypeScript, Monorepos like Nx, TailWind, FastAPI, SQL/NoSQL, Python, Pydantic)
• Hands on experience using AI coding assistants to drive productivity is required.
• Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams; able to explain complex ideas to diverse audiences.
• Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.

Bonus Points For

• Cloud & DevOps Knowledge: Hands-on experience with AWS; strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions).
• Experience with ORMs: Experience with and web services for CRUD services (SQLModel, FastAPI, Django).
• Orchestration Systems: Experience with orchestrators tools (Airflow, Prefect, Temporal, Dagster).
• Familiarity with Python for Science: Familiarity with data science and ML libraries (pandas, numpy, scipy, jax, pytorch).
• Domain Background: Exposure to laboratory software or analytics for life sciences, material sciences, or related fields.
• Experience with laboratory devices, robotics, or hardware drivers.

The Role

We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.

This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.

What You Will Do

• Build & Deploy (60%):

Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.

Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.

Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.

Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.

• Customer Engineering (40%):

Serve as the technical face of the company for our most demanding accounts.

Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.

Translate technical constraints into business value for non-technical executives.

Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.

The "Must-Haves"

• Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
• Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
• Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
• Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).

The "Why You" (Soft Skills)

• Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
• Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
• Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.

What will set you apart

• Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.

Tech Stack

• Languages: Python (Expert).
• AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
• Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.

Compensation

232k-260k base + variable + equity

ABOUT THIS JOB

As a Principal Engineer at Opaque Systems, you will play a critical role in shaping the architecture and driving the technical direction of the core OPAQUE platform, with a focus on the confidential computing infrastructure. You’ll collaborate closely with cross-functional teams to design, develop, and scale solutions for confidential AI. This is an opportunity to solve complex technical challenges while making a significant impact on the development of next-generation technologies.

Key Responsibilities

• Lead the design, architecture, and implementation of core software components for Opaque’s confidential computing platform
• Design, implement, and maintain end-to-end attestation services and infrastructure
• Lead integration of TEE technologies (CNCF CoCo, hyperscaler CC offerings) with OPAQUE's platform
• Design and operate multi-cloud CC deployments at the Kubernetes platform layer — runtime classes, TEE node pools, custom admission controllers, and service mesh security for confidential workloads
• Define and enforce cryptographic standards: key derivation, signing schemes, secure channel establishment, and secrets management within TEE boundaries
• Drive code quality and security review standards across the security engineering team — review at the correctness and side-channel level, not just design
• Collaborate with product, engineering, and AI teams to deliver scalable, high-performance, and secure solutions.
• Drive technical excellence across the engineering team, setting best practices for coding, architecture, testing, and deployment.
• Mentor and guide junior engineers, fostering a culture of continuous improvement and technical innovation.
• Work closely with stakeholders to define technical requirements and ensure alignment with business objectives.
• Optimize system performance, scalability, and fault tolerance while ensuring the security and privacy of data in all phases of computation.
• Stay ahead of industry trends and advancements in confidential AI and confidential computing
• Act as a key decision-maker in technical strategies, contributing to both tactical and strategic goals.

Qualifications

• 10+ years of software engineering experience, with a focus on distributed systems, cloud computing, or security.
• Deep hands-on experience in confidential computing / TEE technologies (e.g., CNCF CoCo)
• Fluency in attestation protocols: attestation quote generation and verification, RATS (RFC 9334), EAT/EAR standards
• Systems programming at production scale in Go and/or Rust; kernel modules, ioctl interfaces, or TEE SDK integration code a strong plus
• Cloud-native platform depth — Kubernetes operators, custom admission controllers, runtime classes, and TEE workload orchestration across multiple clouds
• Cryptographic engineering fundamentals: key hierarchies, AEAD schemes, digital signatures, and the ability to reason about threat models at the hardware boundary
• Expertise in system architecture and design, with a strong understanding of scalability, fault tolerance, and performance optimization.
• Proven track record of delivering large-scale, high-performance, and secure software systems.
• Strong communication skills, with the ability to collaborate effectively across technical and non-technical teams.
• Bonus: Track record of open-source contribution or standards engagement: CNCF CoCo, Project Oak, IETF RATS, or equivalent

Within the Ads Delivery team, we try to connect the dots between the aspirations of pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the Pinterest marketplace. You will design and implement systems that improve the ads delivery funnel, experiments that shape the utility function, auction mechanism design, ad allocation and for deriving new insights through analysis of the marketplace dynamics. In short, this is a unique position, where you’ll get the freedom to work to bring together pinners and partners in this unique marketplace.

What you’ll do:

• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
• Define and implement experiments to understand long term Marketplace effects.
• Develop strategies to balance long and short term business objectives.
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.

What we’re looking for:

• Degree in Computer Science, Machine Learning, Statistics or related field.
• 10+ years of professional experience as a hands-on engineer and technical leader leading multiple projects.
• Strong software engineering and mathematical skills with knowledge of statistical methods.
• Hands-on experience with large-scale online e-commerce systems is a plus.
• Background in computational advertising is preferred.
• Nice to Have:
  • Experience using Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration

In-Office Requirement Statement:

• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
• This role will need to be in the office for in-person collaboration 1-2 times/month, and therefore needs to be in a commutable distance from one of the following offices: San Francisco, Palo Alto, Seattle.

Relocation Statement:

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

#LI-HYBRID 

#LI-SM4

Pinterest serves over 600 million users through sophisticated visual and social capabilities which connect inspiration, advertisement, and shopping. Compute Platform provides the underlying compute capabilities to run jobs and processes for all of the systems and workloads needed behind the scenes to create the best experience for our users and advertisers.  This includes distributed processing, data systems, search, experimentation, monetization, AI/ML for ranking and recommendations, GenAI, and internal systems.

We are looking for a Principal Engineer who can lead and scale the consolidation and modernization of this infrastructure under what we call PinCompute, with an emphasis on some of the largest and most challenging stateful workloads, as well as GPU-heavy AI workloads. The scale and scope of the effort will require designing and building around Kubernetes and solving its scaling limitations, handling stateful systems and data-intensive workloads, formalizing mechanisms to stack and bin pack workloads, working with multiple internal customers and giving them migration paths, and working through ambiguous and unforeseen situations which arise from workload requirements, production and operability requirements, and unique multi-tenancy challenges.

What you'll do:

• Solving the challenges of replacing isolated pools of dedicated compute resources with a very large scale shared compute platform, shifting from machine-based designs to container-based designs.
• Working with leads across various platforms, especially stateful and data platforms, to build the right features and migration paths that work for them.
• Owning and driving up utilization on the shared compute platform by designing and implementing workload stacking, optimizing and bin packing, safe oversubscription, etc.
• Work with multiple customers with unique requirements to make sure the platform will address their needs and is not only a viable but a desirable solution for running their workloads.
• Leading a group of engineers around design topics, execution, trade offs, migration paths, observability, performance, and operability for the platform.
• Evolving the platform towards a multi-cloud abstraction layer to enable running workloads across multiple cloud providers.
• Being a role model for setting a high bar for production quality and engineering excellence in delivering a foundational technology which empowers the entire company.
• Working closely with partners around capacity planning, cost visibility, fungibility of virtual machine instance types, and efficiency.
• Putting special focus on the delivery of GPU resources through the platform, to enable and expedite AI workloads.
• Leverage AI tools to increase the velocity and ease of migrations, and create self service solutions for the customers of the platform as needed
• Help the team apply AI to the operational aspects of running the cluster, discovering issues, and investigating and root causing issues.
• Expedite feature development using AI coding tools and be a thought leader on creating the right balance between speed and safety by designing safeguards and layers of defense.

What we’re looking for:

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 12+ years of relevant industry experience with large scale, production distributed systems.
• 5+ years of experience with Kubernetes in production.
• Experience working across SWE and SRE or Production Engineering teams to deliver robust production systems.
• Experience with running distributed data systems and migrating them to Kubernetes is highly preferred.
• Ability to work with cross-functional partners across multiple organizations.
• Passion for automation, reducing toil, and building proper tooling for getting the job done.

In-Office Requirement Statement: 

• We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
• This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. 

Relocation Statement:

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

#LI-REMOTE

#LI-JT1

ABOUT THE ROLE 

This role sits within Anaplan's IT Customer Experience organization and is focused on transforming how Anaplan employees work. You will design, build, and scale AI tools, agents, and capabilities that drive productivity, smarter decision-making, and operational efficiency across our global workforce. 

Anaplan is building its Enterprise AI Center of Excellence (COE) — a one-stop shop for all internal AI at Anaplan — and is looking for an AI Principal Architect to lead it from a technical standpoint. This is a senior, newly created role at the intersection of hands-on enterprise AI engineering, internal system architecture, technical leadership, and workforce enablement. 

The AI Principal Architect will own the technical vision for Anaplan's internal AI — designing the reference architecture for LLMs, agentic AI, and Gemini Enterprise; setting engineering standards; evaluating emerging platforms; and ensuring every employee-facing initiative is built with rigor, scalability, and responsible design. 

This role carries a hybrid profile: deep individual technical contribution combined with team leadership influence. You will mentor engineers, guide architectural decisions, serve as the primary technical escalation point, and contribute a forward-looking perspective to the 2–3 year AI technology roadmap — without necessarily holding formal management authority over all contributors. 

You will report directly to the Director, IT Customer Experience, who co-leads the Enterprise AI COE alongside the Financial Flexibility Lead and a GTM Champion as a 3-in-a-box. You will collaborate closely with Technical/Engineering teams (dotted-line, for agent development and delivery) and the Transformation & Financial Flexibility team (to identify AI-driven cost-saving opportunities). 

KEY RESPONSIBILITIES 

Reference Architecture & Enterprise AI Engineering 

• Own and publish the reference architecture for Anaplan's internal AI — covering LLMs, agentic AI frameworks, Gemini Enterprise integrations, and data pipelines. 

• Architect end-to-end internal enterprise AI solutions designed for the scale, security, and reliability requirements of a global workforce. 

• Set and enforce AI engineering standards, coding practices, code review processes, and technical guardrails across all internal AI projects. 

• Lead hands-on technical design reviews and guide implementation decisions from intake through production deployment. 

• Evaluate, select, and onboard new enterprise AI platforms and tools — providing technical recommendations grounded in internal workforce needs. 

• Design the LLM abstraction layer and multi-model strategy to optimize cost, performance, and flexibility. 

• Own technical debt management, system observability, and scalability planning for Anaplan's internal AI systems. 

AI Platform Governance & Enablement 

• Define and maintain technical evaluation criteria for the AI intake process — assessing feasibility, build complexity, security risk, and integration requirements for employee-facing tools. 

• Ensure all internal AI initiatives pass engineering, security, compliance, and responsible AI review before development begins. 

• Maintain enterprise AI technical policies, engineering standards, and responsible AI guardrails in partnership with Security and Compliance. 

• Translate approved internal use cases into clear technical specifications and hand off to engineering teams with full architectural context. 

• Define enterprise AI data layer and integration architecture across core systems (Salesforce, ServiceNow, Gainsight, Workday). 

• Integrate with ServiceNow AI Control Tower to track all AI use cases, agents, and realized business value. 

• Implement human-in-the-loop, explainability, and auditability frameworks for all decision-impacting AI systems. 

• Partner with Finance to define and measure AI-driven ROI, ensuring alignment with enterprise value targets. 

• Establish full lifecycle management for AI agents, including monitoring, feedback loops, and continuous improvement. 

Technical Team Leadership 

• Provide technical direction, coaching, and mentorship to engineers across the AI Governance & Enablement and AI Operations & Insights teams. 

• Serve as the primary technical escalation point for complex internal AI delivery challenges and architecture decisions. 

• Partner with Technical/Engineering teams (dotted-line) on agent architecture, build quality, and delivery timelines. 

• Help define the technical bar for AI team hiring and contribute to onboarding and skills development programs. 

• Foster a culture of engineering rigor, experimentation, and continuous improvement across the internal AI function. 

AI Operations & Workforce Adoption 

• Oversee the technical deployment and operationalization of AI agents and solutions, ensuring production readiness and stability for Anaplan employees. 

• Drive Gemini Enterprise adoption and lead AI Friday sessions with genuine technical depth. 

• Build and maintain engineering dashboards tracking internal AI system performance, adoption rates, and ROI metrics. 

• Translate engineering decisions into executive-ready business value narratives for the Director, CIO, and Finance audiences. 

Innovation, R&D & Emerging Technology 

• Research and prototype emerging AI/ML techniques, large language models, agent frameworks, and enterprise tooling to identify internal productivity and cost-saving opportunities. 

• Design and lead proof-of-concept pilots that validate novel internal use cases before committing to full engineering investment. 

• Build and maintain the AI innovation pipeline — a living backlog of high-potential experiments. 

• Contribute the technical perspective on where internal AI capabilities should be invested over the next 2–3 years, collaborating with the Director on the roadmap. 

Cross-Functional Technical Partnership 

• Work hand in hand with the Transformation & Financial Flexibility team to identify and technically validate AI-driven cost-saving opportunities in Anaplan's internal operations. 

• Act as technical advisor and AI subject matter expert to business units identifying internal AI use cases. 

• Support the 3-in-a-box COE co-leadership (IT, Finance, GTM) with technical analysis, architecture reviews, and feasibility assessments. 

• Build trusted technical relationships across Engineering, Security, Compliance, Legal, and HR. 

REQUIRED QUALIFICATIONS 

• 7+ years of software or AI/ML engineering experience, with at least 3 years in a technical lead, staff engineer, or principal-level role — ideally with exposure to enterprise IT or internal tooling environments. 

• Deep hands-on expertise across the AI/ML stack: LLMs, retrieval-augmented generation (RAG), agent frameworks, or MLOps pipelines — with experience in enterprise or workforce deployment contexts. 

• Proven experience architecting and deploying enterprise-scale internal AI systems from design through production, including reliability, observability, and performance engineering. 

• Proficiency in Python and enterprise cloud AI platforms (GCP Vertex AI, Azure AI, or AWS SageMaker) and AI orchestration tooling. 

• Hands-on experience with Google Workspace AI and Gemini Enterprise, or equivalent enterprise AI platforms (e.g., Microsoft Copilot, OpenAI Enterprise). 

• Demonstrated ability to provide technical leadership, mentorship, and architectural guidance to engineering teams without formal management authority. 

• Ability to manage competing priorities, dependencies, and delivery timelines across multiple workstreams. 

• Strong business acumen and communication skills — able to translate complex enterprise AI/ML concepts into business value narratives for C-level audiences. 

• Experience in enterprise SaaS environments with complex stakeholder landscapes, security requirements, and compliance obligations. 

PREFERRED QUALIFICATIONS 

• Experience with AI governance frameworks, responsible AI principles, or enterprise AI policy and risk management for internal deployments. 

• Familiarity with ServiceNow or similar ITSM platforms and integration patterns. 

• Background in enterprise change management, internal AI enablement, or large-scale digital transformation programs. 

• Experience working with cross-functional finance or business transformation teams on AI-driven cost optimization. 

• Prior experience in an internal IT or enterprise technology function at a high-growth SaaS company. 
• Enterprise technology function at a high-growth SaaS company. 

ABOUT THE ROLE 

This role sits within Anaplan's IT Customer Experience organization and is focused on transforming how Anaplan employees work. You will design, build, and scale AI tools, agents, and capabilities that drive productivity, smarter decision-making, and operational efficiency across our global workforce. 

Anaplan is building its Enterprise AI Center of Excellence (COE) — a one-stop shop for all internal AI at Anaplan — and is looking for an AI Principal Architect to lead it from a technical standpoint. This is a senior, newly created role at the intersection of hands-on enterprise AI engineering, internal system architecture, technical leadership, and workforce enablement. 

The AI Principal Architect will own the technical vision for Anaplan's internal AI — designing the reference architecture for LLMs, agentic AI, and Gemini Enterprise; setting engineering standards; evaluating emerging platforms; and ensuring every employee-facing initiative is built with rigor, scalability, and responsible design. 

This role carries a hybrid profile: deep individual technical contribution combined with team leadership influence. You will mentor engineers, guide architectural decisions, serve as the primary technical escalation point, and contribute a forward-looking perspective to the 2–3 year AI technology roadmap — without necessarily holding formal management authority over all contributors. 

You will report directly to the Director, IT Customer Experience, who co-leads the Enterprise AI COE alongside the Financial Flexibility Lead and a GTM Champion as a 3-in-a-box. You will collaborate closely with Technical/Engineering teams (dotted-line, for agent development and delivery) and the Transformation & Financial Flexibility team (to identify AI-driven cost-saving opportunities). 

KEY RESPONSIBILITIES 

Reference Architecture & Enterprise AI Engineering 

• Own and publish the reference architecture for Anaplan's internal AI — covering LLMs, agentic AI frameworks, Gemini Enterprise integrations, and data pipelines. 

• Architect end-to-end internal enterprise AI solutions designed for the scale, security, and reliability requirements of a global workforce. 

• Set and enforce AI engineering standards, coding practices, code review processes, and technical guardrails across all internal AI projects. 

• Lead hands-on technical design reviews and guide implementation decisions from intake through production deployment. 

• Evaluate, select, and onboard new enterprise AI platforms and tools — providing technical recommendations grounded in internal workforce needs. 

• Design the LLM abstraction layer and multi-model strategy to optimize cost, performance, and flexibility. 

• Own technical debt management, system observability, and scalability planning for Anaplan's internal AI systems. 

AI Platform Governance & Enablement 

• Define and maintain technical evaluation criteria for the AI intake process — assessing feasibility, build complexity, security risk, and integration requirements for employee-facing tools. 

• Ensure all internal AI initiatives pass engineering, security, compliance, and responsible AI review before development begins. 

• Maintain enterprise AI technical policies, engineering standards, and responsible AI guardrails in partnership with Security and Compliance. 

• Translate approved internal use cases into clear technical specifications and hand off to engineering teams with full architectural context. 

• Define enterprise AI data layer and integration architecture across core systems (Salesforce, ServiceNow, Gainsight, Workday). 

• Integrate with ServiceNow AI Control Tower to track all AI use cases, agents, and realized business value. 

• Implement human-in-the-loop, explainability, and auditability frameworks for all decision-impacting AI systems. 

• Partner with Finance to define and measure AI-driven ROI, ensuring alignment with enterprise value targets. 

• Establish full lifecycle management for AI agents, including monitoring, feedback loops, and continuous improvement. 

Technical Team Leadership 

• Provide technical direction, coaching, and mentorship to engineers across the AI Governance & Enablement and AI Operations & Insights teams. 

• Serve as the primary technical escalation point for complex internal AI delivery challenges and architecture decisions. 

• Partner with Technical/Engineering teams (dotted-line) on agent architecture, build quality, and delivery timelines. 

• Help define the technical bar for AI team hiring and contribute to onboarding and skills development programs. 

• Foster a culture of engineering rigor, experimentation, and continuous improvement across the internal AI function. 

AI Operations & Workforce Adoption 

• Oversee the technical deployment and operationalization of AI agents and solutions, ensuring production readiness and stability for Anaplan employees. 

• Drive Gemini Enterprise adoption and lead AI Friday sessions with genuine technical depth. 

• Build and maintain engineering dashboards tracking internal AI system performance, adoption rates, and ROI metrics. 

• Translate engineering decisions into executive-ready business value narratives for the Director, CIO, and Finance audiences. 

Innovation, R&D & Emerging Technology 

• Research and prototype emerging AI/ML techniques, large language models, agent frameworks, and enterprise tooling to identify internal productivity and cost-saving opportunities. 

• Design and lead proof-of-concept pilots that validate novel internal use cases before committing to full engineering investment. 

• Build and maintain the AI innovation pipeline — a living backlog of high-potential experiments. 

• Contribute the technical perspective on where internal AI capabilities should be invested over the next 2–3 years, collaborating with the Director on the roadmap. 

Cross-Functional Technical Partnership 

• Work hand in hand with the Transformation & Financial Flexibility team to identify and technically validate AI-driven cost-saving opportunities in Anaplan's internal operations. 

• Act as technical advisor and AI subject matter expert to business units identifying internal AI use cases. 

• Support the 3-in-a-box COE co-leadership (IT, Finance, GTM) with technical analysis, architecture reviews, and feasibility assessments. 

• Build trusted technical relationships across Engineering, Security, Compliance, Legal, and HR. 

REQUIRED QUALIFICATIONS 

• 7+ years of software or AI/ML engineering experience, with at least 3 years in a technical lead, staff engineer, or principal-level role — ideally with exposure to enterprise IT or internal tooling environments. 

• Deep hands-on expertise across the AI/ML stack: LLMs, retrieval-augmented generation (RAG), agent frameworks, or MLOps pipelines — with experience in enterprise or workforce deployment contexts. 

• Proven experience architecting and deploying enterprise-scale internal AI systems from design through production, including reliability, observability, and performance engineering. 

• Proficiency in Python and enterprise cloud AI platforms (GCP Vertex AI, Azure AI, or AWS SageMaker) and AI orchestration tooling. 

• Hands-on experience with Google Workspace AI and Gemini Enterprise, or equivalent enterprise AI platforms (e.g., Microsoft Copilot, OpenAI Enterprise). 

• Demonstrated ability to provide technical leadership, mentorship, and architectural guidance to engineering teams without formal management authority. 

• Ability to manage competing priorities, dependencies, and delivery timelines across multiple workstreams. 

• Strong business acumen and communication skills — able to translate complex enterprise AI/ML concepts into business value narratives for C-level audiences. 

• Experience in enterprise SaaS environments with complex stakeholder landscapes, security requirements, and compliance obligations. 

PREFERRED QUALIFICATIONS 

• Experience with AI governance frameworks, responsible AI principles, or enterprise AI policy and risk management for internal deployments. 

• Familiarity with ServiceNow or similar ITSM platforms and integration patterns. 

• Background in enterprise change management, internal AI enablement, or large-scale digital transformation programs. 

• Experience working with cross-functional finance or business transformation teams on AI-driven cost optimization. 

• Prior experience in an internal IT or enterprise technology function at a high-growth SaaS company. 
• Enterprise technology function at a high-growth SaaS company. 

ABOUT THE ROLE 

This role sits within Anaplan's IT Customer Experience organization and is focused on transforming how Anaplan employees work. You will design, build, and scale AI tools, agents, and capabilities that drive productivity, smarter decision-making, and operational efficiency across our global workforce. 

Anaplan is building its Enterprise AI Center of Excellence (COE) — a one-stop shop for all internal AI at Anaplan — and is looking for an AI Principal Architect to lead it from a technical standpoint. This is a senior, newly created role at the intersection of hands-on enterprise AI engineering, internal system architecture, technical leadership, and workforce enablement. 

The AI Principal Architect will own the technical vision for Anaplan's internal AI — designing the reference architecture for LLMs, agentic AI, and Gemini Enterprise; setting engineering standards; evaluating emerging platforms; and ensuring every employee-facing initiative is built with rigor, scalability, and responsible design. 

This role carries a hybrid profile: deep individual technical contribution combined with team leadership influence. You will mentor engineers, guide architectural decisions, serve as the primary technical escalation point, and contribute a forward-looking perspective to the 2–3 year AI technology roadmap — without necessarily holding formal management authority over all contributors. 

You will report directly to the Director, IT Customer Experience, who co-leads the Enterprise AI COE alongside the Financial Flexibility Lead and a GTM Champion as a 3-in-a-box. You will collaborate closely with Technical/Engineering teams (dotted-line, for agent development and delivery) and the Transformation & Financial Flexibility team (to identify AI-driven cost-saving opportunities). 

KEY RESPONSIBILITIES 

Reference Architecture & Enterprise AI Engineering 

• Own and publish the reference architecture for Anaplan's internal AI — covering LLMs, agentic AI frameworks, Gemini Enterprise integrations, and data pipelines. 

• Architect end-to-end internal enterprise AI solutions designed for the scale, security, and reliability requirements of a global workforce. 

• Set and enforce AI engineering standards, coding practices, code review processes, and technical guardrails across all internal AI projects. 

• Lead hands-on technical design reviews and guide implementation decisions from intake through production deployment. 

• Evaluate, select, and onboard new enterprise AI platforms and tools — providing technical recommendations grounded in internal workforce needs. 

• Design the LLM abstraction layer and multi-model strategy to optimize cost, performance, and flexibility. 

• Own technical debt management, system observability, and scalability planning for Anaplan's internal AI systems. 

AI Platform Governance & Enablement 

• Define and maintain technical evaluation criteria for the AI intake process — assessing feasibility, build complexity, security risk, and integration requirements for employee-facing tools. 

• Ensure all internal AI initiatives pass engineering, security, compliance, and responsible AI review before development begins. 

• Maintain enterprise AI technical policies, engineering standards, and responsible AI guardrails in partnership with Security and Compliance. 

• Translate approved internal use cases into clear technical specifications and hand off to engineering teams with full architectural context. 

• Define enterprise AI data layer and integration architecture across core systems (Salesforce, ServiceNow, Gainsight, Workday). 

• Integrate with ServiceNow AI Control Tower to track all AI use cases, agents, and realized business value. 

• Implement human-in-the-loop, explainability, and auditability frameworks for all decision-impacting AI systems. 

• Partner with Finance to define and measure AI-driven ROI, ensuring alignment with enterprise value targets. 

• Establish full lifecycle management for AI agents, including monitoring, feedback loops, and continuous improvement. 

Technical Team Leadership 

• Provide technical direction, coaching, and mentorship to engineers across the AI Governance & Enablement and AI Operations & Insights teams. 

• Serve as the primary technical escalation point for complex internal AI delivery challenges and architecture decisions. 

• Partner with Technical/Engineering teams (dotted-line) on agent architecture, build quality, and delivery timelines. 

• Help define the technical bar for AI team hiring and contribute to onboarding and skills development programs. 

• Foster a culture of engineering rigor, experimentation, and continuous improvement across the internal AI function. 

AI Operations & Workforce Adoption 

• Oversee the technical deployment and operationalization of AI agents and solutions, ensuring production readiness and stability for Anaplan employees. 

• Drive Gemini Enterprise adoption and lead AI Friday sessions with genuine technical depth. 

• Build and maintain engineering dashboards tracking internal AI system performance, adoption rates, and ROI metrics. 

• Translate engineering decisions into executive-ready business value narratives for the Director, CIO, and Finance audiences. 

Innovation, R&D & Emerging Technology 

• Research and prototype emerging AI/ML techniques, large language models, agent frameworks, and enterprise tooling to identify internal productivity and cost-saving opportunities. 

• Design and lead proof-of-concept pilots that validate novel internal use cases before committing to full engineering investment. 

• Build and maintain the AI innovation pipeline — a living backlog of high-potential experiments. 

• Contribute the technical perspective on where internal AI capabilities should be invested over the next 2–3 years, collaborating with the Director on the roadmap. 

Cross-Functional Technical Partnership 

• Work hand in hand with the Transformation & Financial Flexibility team to identify and technically validate AI-driven cost-saving opportunities in Anaplan's internal operations. 

• Act as technical advisor and AI subject matter expert to business units identifying internal AI use cases. 

• Support the 3-in-a-box COE co-leadership (IT, Finance, GTM) with technical analysis, architecture reviews, and feasibility assessments. 

• Build trusted technical relationships across Engineering, Security, Compliance, Legal, and HR. 

REQUIRED QUALIFICATIONS 

• 7+ years of software or AI/ML engineering experience, with at least 3 years in a technical lead, staff engineer, or principal-level role — ideally with exposure to enterprise IT or internal tooling environments. 

• Deep hands-on expertise across the AI/ML stack: LLMs, retrieval-augmented generation (RAG), agent frameworks, or MLOps pipelines — with experience in enterprise or workforce deployment contexts. 

• Proven experience architecting and deploying enterprise-scale internal AI systems from design through production, including reliability, observability, and performance engineering. 

• Proficiency in Python and enterprise cloud AI platforms (GCP Vertex AI, Azure AI, or AWS SageMaker) and AI orchestration tooling. 

• Hands-on experience with Google Workspace AI and Gemini Enterprise, or equivalent enterprise AI platforms (e.g., Microsoft Copilot, OpenAI Enterprise). 

• Demonstrated ability to provide technical leadership, mentorship, and architectural guidance to engineering teams without formal management authority. 

• Ability to manage competing priorities, dependencies, and delivery timelines across multiple workstreams. 

• Strong business acumen and communication skills — able to translate complex enterprise AI/ML concepts into business value narratives for C-level audiences. 

• Experience in enterprise SaaS environments with complex stakeholder landscapes, security requirements, and compliance obligations. 

PREFERRED QUALIFICATIONS 

• Experience with AI governance frameworks, responsible AI principles, or enterprise AI policy and risk management for internal deployments. 

• Familiarity with ServiceNow or similar ITSM platforms and integration patterns. 

• Background in enterprise change management, internal AI enablement, or large-scale digital transformation programs. 

• Experience working with cross-functional finance or business transformation teams on AI-driven cost optimization. 

• Prior experience in an internal IT or enterprise technology function at a high-growth SaaS company. 
• Enterprise technology function at a high-growth SaaS company. 

SingleStore engineers build the real-time data platform powering some of the world’s most demanding applications. Our cloud-native architecture enables high-performance transactional and analytical workloads at scale, and our teams ship production code continuously throughout the year.

We operate in a fast-moving, highly collaborative environment where engineers own their work end-to-end and partner closely across Product, Sales, and Go-To-Market teams to deliver meaningful business impact.

Position Summary

We are seeking a Senior/Principal Software Engineer to join the Engineering team and play a critical role in designing and delivering core capabilities for SingleStore’s. This is a senior technical role with end-to-end ownership of large, release-defining projects at the intersection of distributed systems, cloud infrastructure, and database technology.

As a Software Engineer, you will set technical direction, solve complex system-level problems, and act as a force multiplier across the organization. You will work closely with Product and customer-facing teams to ensure our platform meets the needs of both long-standing enterprise customers and new adopters.

This role is ideal for an engineer who thrives on deep technical challenges, takes pride in building durable systems, and enjoys mentoring others while remaining hands-on.

Note: This role is open across multiple levels. Final leveling (Senior, Staff, or Principal) will be determined based on experience, scope of impact, and demonstrated technical leadership throughout the interview process.

Role and Responsibilities

• Lead technical design and decision-making for large, release-defining projects impacting SingleStore’s cloud platform.
• Design and implement new capabilities across networking, control plane, and managed service infrastructure, with main focus on our billing systems
• Solve complex, mission-critical system problems with solutions that are scalable, maintainable, and resilient.
• Collaborate closely with Product Management to translate customer and business requirements into robust technical solutions.
• Investigate and resolve difficult issues in production and development environments while balancing multiple responsibilities.
• Investigate, debug and fix issues with billing data synchronization.
• Contribute to data visualization dashboards.
• Mentor and guide engineers on system design, coding standards, and architectural best practices, raising the technical bar across the team.

Your Experience

• 6+ years of experience developing and debugging system-level software in Golang or similar language
• Familiarity with distributed systems managed via Kubernetes.
• Demonstrated ability to design and build highly reliable, high-performance system software.
• Experience working in environments where performance, scalability, and reliability are critical.
• Bachelor’s degree in Computer Science or equivalent practical experience.

Preferred Qualifications

• Experience building cloud-native SaaS platforms.
• Experience working with frontend web frameworks like React.
• Background with cloud based metering and billing and generally accepted account practices.

SingleStore delivers our cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. 

Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.

To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. 

For candidates residing in California, please see our California Recruitment Privacy Notice. For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice.

SingleStore engineers build the real-time data platform powering some of the world’s most demanding applications. Our cloud-native architecture enables high-performance transactional and analytical workloads at scale, and our teams ship production code continuously throughout the year.

We operate in a fast-moving, highly collaborative environment where engineers own their work end-to-end and partner closely across Product, Sales, and Go-To-Market teams to deliver meaningful business impact.

Position Summary

We are seeking a Senior/Principal Software Engineer to join the Engineering team and play a critical role in designing and delivering core capabilities for SingleStore’s. This is a senior technical role with end-to-end ownership of large, release-defining projects at the intersection of distributed systems, cloud infrastructure, and database technology.

As a Software Engineer, you will set technical direction, solve complex system-level problems, and act as a force multiplier across the organization. You will work closely with Product and customer-facing teams to ensure our platform meets the needs of both long-standing enterprise customers and new adopters.

This role is ideal for an engineer who thrives on deep technical challenges, takes pride in building durable systems, and enjoys mentoring others while remaining hands-on.

Note: This role is open across multiple levels. Final leveling (Senior, Staff, or Principal) will be determined based on experience, scope of impact, and demonstrated technical leadership throughout the interview process.

Role and Responsibilities

• Lead technical design and decision-making for large, release-defining projects impacting SingleStore’s cloud platform.
• Design and implement new capabilities across networking, control plane, and managed service infrastructure, with main focus on our billing systems
• Solve complex, mission-critical system problems with solutions that are scalable, maintainable, and resilient.
• Collaborate closely with Product Management to translate customer and business requirements into robust technical solutions.
• Investigate and resolve difficult issues in production and development environments while balancing multiple responsibilities.
• Investigate, debug and fix issues with billing data synchronization.
• Contribute to data visualization dashboards.
• Mentor and guide engineers on system design, coding standards, and architectural best practices, raising the technical bar across the team.

Your Experience 

• 6+ years of experience developing and debugging system-level software in Golang or similar language
• Familiarity with distributed systems managed via Kubernetes.
• Demonstrated ability to design and build highly reliable, high-performance system software.
• Experience working in environments where performance, scalability, and reliability are critical.
• Bachelor’s degree in Computer Science or equivalent practical experience.

Preferred Qualifications

• Experience building cloud-native SaaS platforms.
• Experience working with frontend web frameworks like React.
• Background with cloud based metering and billing and generally accepted account practices.

SingleStore delivers our cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. 

Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.

To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. 

For candidates residing in California, please see our California Recruitment Privacy Notice. For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice.

SingleStore engineers build the real-time data platform powering some of the world’s most demanding applications. Our cloud-native architecture enables high-performance transactional and analytical workloads at scale, and our teams ship production code continuously throughout the year.

We operate in a fast-moving, highly collaborative environment where engineers own their work end-to-end and partner closely across Product, Sales, and Go-To-Market teams to deliver meaningful business impact.

Position Summary

We are seeking a Senior Software Engineer to join the Helios team and play a critical role in designing and delivering core capabilities for SingleStore’s cloud-managed service. This is a senior technical leadership role with end-to-end ownership of large, release-defining projects at the intersection of distributed systems, cloud infrastructure, and database technology.

The focus of this role is on cloud based metering and billing for all Helios products and features. You will be responsible for building and maintaining the bookkeeping system and integrations that powers millions in cloud revenue with extreme attention to detail.

As a Software Engineer, you will set technical direction, solve complex system-level problems, and act as a force multiplier across the organization. You will work closely with Product and customer-facing teams to ensure our platform meets the needs of both long-standing enterprise customers and new adopters.

This role is ideal for an engineer who thrives on deep technical challenges, takes pride in building durable systems, and enjoys mentoring others while remaining hands-on.

Note: This role is open across multiple levels. Final leveling (Senior, Staff, or Principal) will be determined based on experience, scope of impact, and demonstrated technical leadership throughout the interview process.

Role and Responsibilities

• Lead technical design and decision-making for large, release-defining projects impacting SingleStore’s cloud platform.
• Design and implement new capabilities across networking, control plane, and managed service infrastructure.
• Solve complex, mission-critical system problems with solutions that are scalable, maintainable, and resilient.
• Collaborate closely with Product Management to translate customer and business requirements into robust technical solutions.
• Investigate and resolve difficult issues in production and development environments while balancing multiple responsibilities.
• Communicate complex technical decisions and trade-offs clearly, including their impact on system performance, reliability, and business outcomes.
• Mentor and guide engineers on system design, coding standards, and architectural best practices, raising the technical bar across the team.
• Participate in customer POCs and technical engagements, helping optimize performance, reliability, and adoption.
• Partner cross-functionally with teams including Sales, Marketing, and G&A to support product delivery and customer success.

Required Skills and Experience

• 4+ years of experience developing and debugging system-level software in Golang or similar language
• Familiarity with distributed systems managed via Kubernetes.
• Demonstrated ability to design and build highly reliable, high-performance system software.
• Experience working in environments where performance, scalability, and reliability are critical.
• Bachelor’s degree in Computer Science or equivalent practical experience.

Preferred Qualifications

• Experience building cloud-native SaaS platforms.
• Experience working with frontend web frameworks like React.
• Background with cloud based metering and billing and generally accepted account practices.

SingleStore delivers our cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. 

Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.

To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. 

SingleStore’s base salary range for this role, if based in California, Colorado, Washington, or New York City is:  $150,000 -  $220,000 USD per year 

For candidates residing in California, please see our California Recruitment Privacy Notice. For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice.

#li-remote #remote-li

SingleStore engineers build the real-time data platform powering some of the world’s most demanding applications. Our cloud-native architecture enables high-performance transactional and analytical workloads at scale, and our teams ship production code continuously throughout the year.

We operate in a fast-moving, highly collaborative environment where engineers own their work end-to-end and partner closely across Product, Sales, and Go-To-Market teams to deliver meaningful business impact.

Position Summary

We are seeking a Senior/Principal Software Engineer to join the Engineering team and play a critical role in designing and delivering core capabilities for SingleStore’s. This is a senior technical role with end-to-end ownership of large, release-defining projects at the intersection of distributed systems, cloud infrastructure, and database technology.

As a Software Engineer, you will set technical direction, solve complex system-level problems, and act as a force multiplier across the organization. You will work closely with Product and customer-facing teams to ensure our platform meets the needs of both long-standing enterprise customers and new adopters.

This role is ideal for an engineer who thrives on deep technical challenges, takes pride in building durable systems, and enjoys mentoring others while remaining hands-on.

Note: This role is open across multiple levels. Final leveling (Senior, Staff, or Principal) will be determined based on experience, scope of impact, and demonstrated technical leadership throughout the interview process.

Role and Responsibilities

• Lead technical design and decision-making for large, release-defining projects impacting SingleStore’s cloud platform.
• Design and implement new capabilities across networking, control plane, and managed service infrastructure, with main focus on our billing systems
• Solve complex, mission-critical system problems with solutions that are scalable, maintainable, and resilient.
• Collaborate closely with Product Management to translate customer and business requirements into robust technical solutions.
• Investigate and resolve difficult issues in production and development environments while balancing multiple responsibilities.
• Investigate, debug and fix issues with billing data synchronization.
• Contribute to data visualization dashboards.
• Mentor and guide engineers on system design, coding standards, and architectural best practices, raising the technical bar across the team.

Your Experience

• 6+ years of experience developing and debugging system-level software in Golang or similar language
• Familiarity with distributed systems managed via Kubernetes.
• Demonstrated ability to design and build highly reliable, high-performance system software.
• Experience working in environments where performance, scalability, and reliability are critical.
• Bachelor’s degree in Computer Science or equivalent practical experience.

Preferred Qualifications

• Experience building cloud-native SaaS platforms.
• Experience working with frontend web frameworks like React.
• Background with cloud based metering and billing and generally accepted account practices.

SingleStore delivers our cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. 

Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.