Key Responsibilities:

• Lead the technical strategy and execution for SoundCloud’s ML systems (e.g., recommendation, ranking, personalization), including model development, deployment, and scaling
• Lead the exploration of advanced modeling techniques including Deep Neural Networks, LLMs, large recommender systems, multi-modal embeddings and transformer-based architectures to create unique and impactful listening experiences
• Define and drive the overall technical direction for ML in SoundCloud including model architecture, feature engineering, training and serving infrastructure at scale, feature stores, pipeline orchestration, and model registry and versioning all aimed at accelerating our ability to bring ML-powered features to market
• Own short- and long-term objectives, ensuring ML investments deliver measurable user and business impact
• Lead, mentor, and grow ML Engineers and Scientists across SoundCloud
• Be a strategic partner to the CTO in bringing an “ML Everywhere” strategy to all surfaces in the product (both Creator and Fan), and helping to lead the charge on AI-native engineering
• Stay current with industry trends and advancements in machine learning, identifying opportunities to apply them at SoundCloud
• Lead the leveraging of agentic workflows and AI-assisted engineering as a force multiplier to work at 10x the speed of traditional methods

Experience and Background:

• 10+ years of experience in ML engineering, plus 3+ years in search or recommendations in an internet scale service with the reach of tens of millions of daily active users. Experience in a music streaming environment is a bonus
• Proven track record of defining technical strategy and driving execution for large-scale ML systems, particularly in recommendation, personalization, or search
• Experience setting technical roadmaps, influencing cross-functional priorities, and balancing business, product, and engineering trade-offs at an organizational level
• Experience leading and scaling teams of ML Engineers and Scientists, including hiring, mentoring, and developing high-performing talent
• Deep expertise in delivering data-driven products and ML solutions at scale on cloud-based platforms, with strong understanding of infrastructure and lifecycle management
• Hands-on familiarity with modern ML frameworks (PyTorch, TensorFlow) and data processing pipelines, combined with strong software engineering foundations
• Thought leadership in ML and data science, with a track record of driving technical innovation and applying emerging industry trends
• Exceptional communication, strategic influence, and cross-functional leadership skills across senior stakeholders and global teams

The salary range for this role is $280,000 - $325,000 annually. The final salary offered will be determined based on relative experience, skills, internal equity, and location. We also offer a generous total rewards program - read more about additional benefits and perks below!

About us:

• We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
• We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
• We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard
• We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities

Benefits:

• Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources
• Robust 401k program
• Employee Equity Plan
• Generous professional development allowance
• Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
• Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
• 16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
• Various snacks, goodies, and 2 free lunches weekly when at the office

Diversity, Equity and Inclusion at SoundCloud

SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.

At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.

About the Role

We are seeking a highly skilled and experienced Principal Engineer to join our Engineering team. As a Principal Engineer, you will be responsible for leading the design, development, and implementation of our brokerage systems. You will work closely with our engineering team and other stakeholders to create scalable, low latency, and highly available trading systems. 

What You’ll Do

• Responsible for the technical architecture, design and delivery of high performance, low-latency brokerage systems using Java/Golang
• Assesses the health and performance of software applications and databases and provides software and technology solutions
• Design, develop, and maintain REST APIs and microservices.
• Work with the Broker Dealer Operations teams to support and enhance the trading and backend system for multiple asset classes like Equities, Options, Mutual Funds etc
• Define specifications and develops components, modifies existing software stack, prepare test data, and prepares functional specifications
• Analyze Service and application performance using various programming
• languages, tools and techniques
• Develop and maintain automated testing frameworks and CI/CD pipelines
• Provide technical leadership and mentorship to the engineering team
• Provide guidance to non-technical staff in using software and hardware systems most effectively and efficiently
• Support applications with an understanding of system integration, test planning, scripting, and troubleshooting
  
  

What You’ll Need

• Bachelor’s degree in Computer Science or related field or equivalent experience
• At least 10 years of experience in Software Engineering with expertise in Java
• Must understand Test Driven Development and how to write effective unit/integration tests
• Strong understanding of CI/CD and automated testing frameworks
• Proficient in developing and maintaining robust REST APIs and implementing sophisticated event-driven architectures with Kafka and Kubernetes
• Background in financial technology or capital markets is required
• Proficient in No SQL, SQL and Stored Procedures such as in Postgres, MySQL
• Experience with Unix, Linux Operating Systems
• Knowledge of Jira, Git, Jenkins
• Experience with a 24x7, highly-available architecture
• Strong experience with Amazon Web Services
• Experience with Scrum and other Agile processes
• Strong communication skills
• Strong analytical and problem-solving skills
  
  Applicants must be authorized to work for any employer in the U.S. DriveWealth is unable to sponsor an employment Visa at this time.

Special Knowledge (Nice to Have, But Not Rqequired)

• Experience with Amazon Web Services
• Experience with Linux and writing scripts to extract and transform data
• Multiple years experience in fin-tech specifically Post Trade, Payment or SaaS

About the Role

We are seeking a Principal Software Engineer to lead the architecture and evolution of our data and machine learning infrastructure. This role will shape the foundation on which data-driven products, analytics, and AI applications are built. You will design systems that enable large-scale data processing, reliable pipelines, and efficient machine learning development—from feature engineering to real-time model serving.

As a principal engineer, you will partner with product, data science, and platform teams to set technical direction, drive adoption of reusable frameworks, and mentor engineers across the organization. You will ensure that both data and ML platforms are scalable, reliable, cost-efficient, and compliant with privacy and governance standards.

The core of the Data Platform is a data lake on AWS S3 with Apache Iceberg as the table format to ensure reliability. Data ingestion is standardized through Confluent Kafka for real-time streaming and Fivetran for ingestion of files and change-data. The transformation layer is decoupled from storage, using Apache Flink for stream processing, AWS Glue (Spark) for core ETL , and dbt/Athena for building analytical data models. The platform serves data through fit-for-purpose data stores, including Amazon DynamoDB for low-latency applications and Google BigQuery as the primary engine for analytics and BI.

You will report to the Sr. Director of Engineering. This role can be remote in the US, with a preference for candidates in the New York City area.

Responsibilities:

• Architect & Build Platform: Design and evolve infrastructure for data ingestion, storage, batch and streaming pipelines, and machine learning workflows

• Enable ML at Scale: Build systems for training, deploying, monitoring, and governing models, including feature stores, registries, and inference platforms

• Reliability & Observability: Ensure end-to-end system reliability, monitoring, and cost transparency across data and ML workloads

• Self-Service Platforms: Deliver frameworks and APIs that enable engineers, analysts, and ML scientists to build and operate solutions independently

• Innovation & Standards: Evaluate and introduce emerging technologies (vector databases, distributed training, orchestration frameworks, LLM stacks) and establish adoption guidelines

• Cross-Functional Leadership: Partner with platform, product, and engineering and ML science leaders to align on strategy and accelerate delivery

• Mentorship & Influence: Guide senior and staff engineers, lead architecture reviews, and raise the technical bar across data and ML domains

• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world
  
  

Basic Qualifications:

• 10+ years of software engineering experience with a focus on distributed systems, data platforms, and ML infrastructure or equivalent

• Proven ability to influence technical direction across multiple teams and mentor senior/staff engineers

• Proven expertise in data processing frameworks and table formats (e.g. Spark, Flink, Iceberg) and orchestration tools (e.g. Airflow, Kubeflow)

• Deep knowledge of ML infrastructure: model training pipelines, feature stores, registries, serving, and monitoring

• Strong programming skills in Python and at least one compiled language like Java or Go

• Experience designing systems with scalability, reliability, and cost-efficiency as first-class concerns

• Cloud platform experience (AWS, GCP), familiarity with Kubernetes and modern data platform architectures

• Familiarity with compliance and governance in data/ML systems (auditability, privacy, explainability)

• Familiarity with the data lakehouse paradigm and medallion architecture

This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables.

#LI-Remote

REQ-018968

Role Summary

Scale is building the infrastructure layer for institutional intelligence — the compounding asset that makes the world's most consequential organizations more capable over time. The Chief of Staff to the VP of Product sits at the center of that work.

This is not a chief of staff role in the traditional sense. This person is not a scheduler, a note-taker, or a communications coordinator. They are an extension of the VP of Product, absorbing context across every workstream, making real prioritization calls, and operating at a level of organized precision that makes the rest of the function run faster.

The right person for this role wants to grow into product leadership and understands that the fastest path there is to operate at close range with someone doing the job. They will be in every room, on every decision, and responsible for ensuring that nothing falls through the cracks, including the principal.

What You'll Do

• Prepare the VP for every significant meeting, external or internal: customer briefings, executive reviews, board-adjacent discussions with the right level of context and the right framing.
• Represent the VP in internal workstreams where her presence isn't required but her perspective is. This means you actually have the perspective, not just her notes.
• Drive follow-through on decisions made in meetings: own the action items, chase closures, and surface blockers before they become problems.
• Build and maintain the operational infrastructure that keeps the product org coordinated. Rhythms, comms, templates, and shared context without it becoming process for its own sake.
• Engage directly with engineering leads, PMs, and go-to-market partners with enough technical and product fluency to move things forward, not just relay information.
• Move people without authority. You will regularly need engineers, PMs, GTM leads, and customers to do things that aren't in their immediate interest to prioritize. You get there by being trusted, well-framed, and well-timed, not by invoking the principal's name.

What We're Looking For

Must-Have Qualifications

• 10 years of experience in product management, technical program management, strategy, or a role with real operational ownership - not coordination.
• Demonstrated record of managing complexity: multiple parallel workstreams, competing stakeholder demands, and ambiguous ownership  and keeping all of it moving without dropping threads.
• Extreme organizational precision. Their systems are legible to others, not just themselves.
• Enough technical fluency to hold a real conversation with a platform engineer. Not deep coding, but genuine comprehension of how systems work: APIs, infrastructure, deployment, architecture at a conceptual level and curiosity to learn.
• The judgment to act on behalf of the principal. 
• Strong, precise written communication. First drafts should be clean. Recaps, briefs, and async updates should require minimal editing.

Octus is seeking a Principal Data Engineer to roll up their sleeves and build scalable, production-grade data pipelines and infrastructure. You'll be a hands-on technical leader — writing code daily, solving hard engineering problems, and helping elevate the team around you through doing. Spanning Snowflake, Databricks, and AWS, you'll be deeply involved in the day-to-day development of the data platform that powers Octus's products, data, and automation initiatives. The ideal candidate is an expert in Python and SQL who thrives in an execution-focused environment and has deep experience building modern data pipelines and lakehouse solutions.

Responsibilities

• Build and maintain end-to-end data pipelines — from raw ingestion through transformation and delivery — across diverse data sources (APIs, web data, internal feeds, etc.).
• Hands-on development of scalable, production-grade pipelines within Databricks, including Delta Lake table management, Workflows, and cluster optimization.
• Build and maintain data models, schemas, and transformation logic in Snowflake, optimizing for performance and reliability.
• Develop and manage Databricks environments including Unity Catalog, Delta Live Tables, and integration patterns that support both internal data consumers and external sharing use cases.
• Build and manage orchestration workflows using AWS services (MWAA/Airflow, Lambda, ECS, SQS, MSK) and Databricks-native orchestration where appropriate.
• Implement and maintain infrastructure as code (IaC) using Terraform, ensuring reproducibility and compliance with cloud standards.
• Establish and enforce best practices in data modeling, schema design, and ETL/ELT processes for high-volume structured and semi-structured data across Snowflake and Databricks.
• Ensure data quality, lineage, and observability through automated testing, monitoring, and alerting across all pipeline layers.
• Collaborate closely with technology leadership to align data platform development with business strategy and product goals.
• Stay at the forefront of industry trends in data engineering, lakehouse architecture, and cloud-native data platforms.

Requirements

• Strong foundation in software engineering principles, including SOLID design, modularity, and scalability.
• Expert proficiency in Databricks, including Delta Lake, Unity Catalog, Delta Live Tables, MLflow, and Databricks Workflows.
• Deep experience with Snowflake, including data modeling, performance optimization, and integration with upstream/downstream pipeline tooling.
• Expert proficiency in Python for data pipeline and automation development.
• Advanced SQL skills with experience optimizing complex queries and data models at scale.
• Proven experience designing and maintaining cloud-native data pipelines on AWS (e.g., MWAA/Airflow, Lambda, ECS, SQS, Glue, S3, Redshift, etc.).
• Experience implementing and managing Terraform or similar IaC frameworks.
• Strong understanding of lakehouse architecture patterns, data ingestion, transformation, and orchestration, including familiarity with ML/AI pipeline integration patterns.
• Familiarity with CI/CD pipelines, automated testing, and modern DevOps practices.
• 8+ years of experience in data engineering or backend development, with a focus on scalable data solutions.
• Demonstrated experience leading data infrastructure projects end-to-end and mentoring senior engineers.
• Familiarity with containerization (Docker) and workflow orchestration best practices.
• Excellent communication, collaboration, and problem-solving skills.

Nice to Have

• Experience with streaming data technologies (Kafka, Kinesis, Flink).
• Exposure to ML/AI pipeline patterns (feature stores, experiment tracking, model serving) and MLOps tooling, particularly in a cross-functional team environment.
• Experience integrating data quality and observability tools.
• Experience with Databricks as a data sharing and collaboration platform (Delta Sharing, Marketplace).
• Familiarity with Claude Code or similar AI-powered developer tools for accelerating pipeline development and code workflows.

At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $175,000 - $220,000

The actual compensation will be at Octus' sole discretion and will be determined by the aforementioned and other relevant factors.

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.

Position Overview

SNHA, A Woolpert Company is seeking a Project Manager for our Mission Critical Project Management team. This position would be aligned with our offices located in Chicago, IL, New York, NY and/or Pittsburgh, PA and would support full-time in-person/hybrid, and remote working arrangements.

We are unable to provide visa sponsorship for this position.  Applicants must already possess work authorization in the country the job is located.

What You Will Do:

• Lead and facilitate the overall cross-functional project team.
• Oversee the quality of deliverables prepared by team members, including, but not limited to, fee plans, work plans, risk mitigation plans, and contracts.
• Resolve issues impacting project objectives.
• Lead or support team in scope and budget/pricing development for proposals and dynamic project planning.
• Support client relationships and business development in support of strategic business plan.
• Act as key point of internal contact for communication. Identify plan vs. actual performance variances.
• Promotes SNHA, A Woolpert Company and parent company Woolpert as an industry leader for mission critical practice and service(s) with new and existing clients
• Project Managers to work with Market Leads in negotiation of project schedule, fee, scope and contract terms for complex, multidiscipline projects.
• Identify, address and resolve any project issues impacting client goals, objectives and/or client satisfaction
• Defines and communicates client needs and expectations
• Ensures continuous stakeholder (client, client’s manager, etc.) communications addressing, resolving and anticipating project issues

What You Will Bring:

• Active Professional Registration (Licensed Architect or Licensed Engineer) is desired.  
• Minimum of 10 years related Architectural, Engineering, or Construction industry experience required, PMP Certification preferred
• Experience in mission-critical or data center environments, or projects of equivalent complexity and scale (approximately 400,000 square feet), are strongly preferred.
• Ideal candidate will have experience with multi-disciplinary projects including mission-critical, such as airports, healthcare facilities, large transportation terminals, semiconductor facilities, or projects of equivalent complexity and scale
• Strong understanding of project management fundamentals and ability to facilitate technical discussions when needed
• Demonstrated leadership skills and ability to negotiate, influence and manage risk
• Be able to effectively communicate in both internal and external relationships for all essential job functions
• Be able to make sound decisions/recommendations based on the evaluation and synthesis of project information and data
• Must be able to travel for local, regional, and national clients and projects

Benefits You Will Love

Certified as a Great Place to Work, Woolpert is one of the fastest-growing architecture, engineering, and geospatial companies in the world. With over 75 offices and countless projects around the globe, you’ll work on meaningful assignments that improve quality of life around the world. In addition to offering competitive pay, we provide employees with a robust set of unique benefits, including:

Freedom to Work program: Set your own schedule and location (as appropriate).
Principal program: Earn the opportunity to become an owner of the firm.
Flexible paid time off/vacation: Take time off when it makes sense for you and your team.
Career development: Explore a wide range of learning and growth opportunities within and across industries.
Health, life, vision, and dental insurance: Cover all your medical bases.
Paid sick time, retirement plan, fitness reimbursement, pet insurance, identity protection, technology stipend, employee assistance program, and more!

#LI-HC1

Position Overview

SNHA, A Woolpert Company is seeking a Project Manager for our Mission Critical Project Management team. This position would be aligned with our offices located in Chicago, IL, New York, NY and/or Pittsburgh, PA and would support full-time in-person/hybrid, and remote working arrangements.

We are unable to provide visa sponsorship for this position.  Applicants must already possess work authorization in the country the job is located.

What You Will Do:

• Contribute to the overall cross-functional project team.
• Assist with the quality of deliverables prepared by team members, including, but not limited to, fee plans, work plans, risk mitigation plans, and contracts.
• Resolve issues impacting project objectives.
• Support team in scope and budget/pricing development for proposals and dynamic project planning.
• Client relationships and business development in support of strategic business plan.
• Act as key point of internal contact for communication. Identify plan vs. actual performance variances.
• Promotes SNHA, A Woolpert Company and parent company Woolpert as an industry leader for mission critical practice and service(s) with new and existing clients.
• Project Managers to work with Market Leads in negotiation of project schedule, fee, scope and contract terms for complex, multidiscipline projects.
• Identify, address and resolve any project issues impacting client goals, objectives and/or client satisfaction.
• Defines and communicates client needs and expectations.
• Ensures continuous stakeholder (client, client’s manager, etc.) communications addressing, resolving and anticipating project issues

What You Will Bring:

• Active Professional Registration (Licensed Architect or Licensed Engineer) is desired
• Minimum of 5 years related Architectural, Engineering, or Construction industry experience required
• PMP Certification preferred
• Experience in mission-critical or data center environments, or projects of equivalent complexity and scale (approximately 400,000 square feet), are strongly preferred.
• Ideal candidate will have experience with multi-disciplinary projects including mission-critical, such as airports, healthcare facilities, large transportation terminals, semiconductor facilities, or projects of equivalent complexity and scale
• Strong understanding of project management fundamentals and ability to facilitate technical discussions when needed
• Demonstrated leadership skills and ability to negotiate, influence and manage risk
• Be able to effectively communicate in both internal and external relationships for all essential job functions
• Be able to make sound decisions/recommendations based on the evaluation and synthesis of project information and data
• Must be able to travel for local, regional, and national clients and projects

Benefits You Will Love

Certified as a Great Place to Work, Woolpert is one of the fastest-growing architecture, engineering, and geospatial companies in the world. With over 75 offices and countless projects around the globe, you’ll work on meaningful assignments that improve quality of life around the world. In addition to offering competitive pay, we provide employees with a robust set of unique benefits, including:

Freedom to Work program: Set your own schedule and location (as appropriate).
Principal program: Earn the opportunity to become an owner of the firm.
Flexible paid time off/vacation: Take time off when it makes sense for you and your team.
Career development: Explore a wide range of learning and growth opportunities within and across industries.
Health, life, vision, and dental insurance: Cover all your medical bases.
Paid sick time, retirement plan, fitness reimbursement, pet insurance, identity protection, technology stipend, employee assistance program, and more!

#LI-HC1

About the Company

Gemini is a global crypto and Web3 platform founded by Cameron and Tyler Winklevoss in 2014, offering a wide range of simple, reliable, and secure crypto products and services to individuals and institutions in over 70 countries. Our mission is to unlock the next era of financial, creative, and personal freedom by providing trusted access to the decentralized future. We envision a world where crypto reshapes the global financial system, internet, and money to create greater choice, independence, and opportunity for all — bridging traditional finance with the emerging cryptoeconomy in a way that is more open, fair, and secure. As a publicly traded company, Gemini is poised to accelerate this vision with greater scale, reach, and impact.

The Department: Data

At Gemini, our Data Team is the engine that powers insight, innovation, and trust across the company. We bring together world-class data engineers, platform engineers, machine learning engineers, analytics engineers, and data scientists — all working in harmony to transform raw information into secure, reliable, and actionable intelligence. From building scalable pipelines and platforms, to enabling cutting-edge machine learning, to ensuring governance and cost efficiency, we deliver the foundation for smarter decisions and breakthrough products. We thrive at the intersection of crypto, technology, and finance, and we’re united by a shared mission: to unlock the full potential of Gemini’s data to drive growth, efficiency, and customer impact.

The Role: Principal Data Engineer

The Data Engineering Team owns the ingestion and transformation of data from production databases, streams, and external data sources into our data warehouse. As a Principal Data Engineer, you will set the technical direction for how data is modeled, processed, and delivered across the organization. You will partner closely with product, analytics, ML, finance, operations, and engineering teams to move, transform, and model data reliably, with observability, resilience, and agility. You’ll lead by example through design excellence, mentoring, and technical leadership, ensuring our data architecture is scalable, governed, and ready for the next generation of analytics and machine learning at Gemini. 

This is a senior individual contributor role — highly technical, strategic, and cross-functional — where you’ll influence the design of data systems that underpin key decisions and customer-facing products across Gemini.

This role is required to be in person twice a week at our New York City, NY office.

Responsibilities:

• Define and drive the long-term vision for data architecture, modeling, and transformation at Gemini
• Establish standards for data reliability, observability, and quality across all pipelines and data products using languages and frameworks such as Python, SQL, Spark, Flink, Beam, or equivalents
• Partner with Staff and Senior Data Engineers, Platform Engineers, and Analytics Engineers to unify how data is produced, stored, and consumed
• Lead large-scale design initiatives that span multiple teams and systems, ensuring maintainability, performance, and security
• Partner with data scientists, ML engineers, analysts, and product teams to understand data requirements, define SLAs, and deliver coherent data products that others can self-serve
• Establish data quality, validation, observability, and monitoring frameworks (data auditing, alerting, anomaly detection, data lineage)
• Investigate and resolve complex production issues: root cause analysis, performance bottlenecks, data integrity, fault tolerance
• Mentor and guide more junior and mid-level data engineers: lead code reviews, design reviews, and best-practice evangelism
• Help recruit and onboard new talent, shaping the future of Gemini’s data engineering discipline
• Stay up to date on new tools, technologies, and patterns in the data and cloud space, bringing proposals and proof-of-concepts when appropriate
• Document data flows, data dictionaries, architecture patterns, and operational runbooks

Minimum Qualifications:

• 10+ years of experience in data engineering (or similar) roles
• Strong experience in ETL/ELT pipeline design, implementation, and optimization
• Deep expertise in Python and SQL writing production-quality, maintainable, testable code
• Experience with large-scale data warehouses (e.g. Databricks, BigQuery, Snowflake)
• Solid grounding in software engineering fundamentals, data structures, and systems thinking
• Hands-on experience in data modeling (dimensional modeling, normalization, schema design)
• Experience building systems with real-time or streaming data (e.g. Kafka, Kinesis, Flink, Spark Streaming), and familiarity with CDC frameworks
• Experience with orchestration / workflow frameworks (e.g. Airflow)
• Familiarity with data governance, lineage, metadata, cataloging, and data quality practices
• Strong cross-functional communication skills; ability to translate between technical and non-technical stakeholders
• Proven experience in recruiting, mentoring, leading design discussions, and influencing data-engineering best practices across teams

Preferred Qualifications:

• Experience with crypto, financial services, trading, markets, or exchange systems
• Experience with blockchain, crypto, Web3 data — e.g. blocks, transactions, contract calls, token transfers, UTXO/account models, on-chain indexing, chain APIs, etc.
• Experience with infrastructure as code, containerization, and CI/CD pipelines
• Hands-on experience managing and optimizing Databricks on AWS

• Competitive starting salary
• A discretionary annual bonus
• Long-term incentive in the form of a new hire equity grant
• Comprehensive health plans
• 401K with company matching
• Paid Parental Leave
• Flexible time off

Salary Range: The base salary range for this role is between $192,500 - $275,000 in the State of New York, the State of California and the State of Washington. This range is not inclusive of our discretionary bonus or equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.

In the United States, we offer a hybrid work approach at our hub offices, balancing the benefits of in-person collaboration with the flexibility of remote work. Expectations may vary by location and role, so candidates are encouraged to connect with their recruiter to learn more about the specific policy for the role. Employees who do not live near one of our hubs are part of our remote workforce.

At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace. If you have a specific need that requires accommodation, please let a member of the People Team know.

#LI-AA1

What You’ll Do:

The Common Services organization at CoreWeave is responsible for the shared platforms, APIs, and foundational services that power our AI cloud products and internal engineering teams. From authentication and authorization to core platform primitives and developer experience tooling, this organization ensures that the rest of CoreWeave can build, ship, and operate reliably at scale.

As Reliability Lead, Common Services, you will establish and lead the Reliability Engineering and production operations practice for this organization. You’ll partner closely with engineering leaders and teams across Common Services to define how we build, release, monitor, and operate critical services—raising the bar on reliability, availability, and operational excellence across the board.

About the Role:

As Reliability Lead, Common Services, you will be responsible for defining the reliability strategy, processes, and standards for the Common Services portfolio and driving consistent, high-quality operational practices across multiple teams. You’ll monitor production incidents within Common Services, and work directly with your partner teams to design systems that are reliable, observable, and supportable. Your day-to-day will blend hands-on technical work and cross-functional leadership to drive continuous improvement of Common Services production operations.

In this role, you will:

• Establish and lead the SRE / production engineering practice for the Common Services organization, including standards for reliability, incident management, and on-call, in partnership with the central Product Engineering organization.
• Develop an Operational Excellence strategy that focuses on not only improving system performance but also monitoring and reducing operational toil
• Partner with engineering and product teams to define SLOs, SLIs, and error budgets for critical Common Services, and ensure these become part of how teams plan and make tradeoffs.
• Own and improve the incident management lifecycle for Common Services, including on-call rotations, escalation paths, incident tooling, post-incident reviews, and follow-through on corrective actions.
• Drive the observability strategy (metrics, logs, traces, dashboards, alerts) for Common Services, ensuring we have actionable visibility into the health, performance, and capacity of key systems.
• Collaborate with engineering leads to design and review architectures for reliability, scalability, resilience, and operability, including failure modes, redundancy, and graceful degradation.
• Lead efforts to automate and harden operational workflows, including deployments, rollbacks, configuration management, change management, and routine maintenance tasks.
• Build strong, trust-based relationships with partner teams and stakeholders, becoming a go-to leader for production readiness and operational risk within Common Services.
• Hire, mentor, and develop SRE and production engineering talent, fostering a culture of continuous improvement, learning from incidents, and humane on-call.
• Partner with other SRE and production engineering leaders across CoreWeave to align on global practices, tools, and reliability goals, representing the needs and constraints of Common Services.

Who You Are:

• 7+ years of experience in Site Reliability Engineering, Production Engineering, or similar roles working on distributed systems or cloud/platform services.
• 2+ years of technical leadership experience (team lead, staff/principal engineer, or people manager) where you drove reliability and operational improvements across multiple services or teams.
• Strong background in Linux-based production environments, containers, and orchestration technologies (e.g., Kubernetes), including debugging complex issues in live systems.
• Hands-on experience with observability stacks (metrics, logging, tracing) and alerting systems, and a track record of designing meaningful SLIs/SLOs and alert strategies.
• Proven experience running on-call rotations and incident response, including leading high-severity incidents and driving high-quality post-incident reviews.
• Demonstrated ability to design for reliability (capacity planning, redundancy, failover, backoff, circuit breaking, graceful degradation, etc.) in large-scale or mission-critical systems.
• Comfortable working with infrastructure-as-code and automation tooling (e.g., Terraform, Ansible, Helm, CI/CD pipelines) to make operations repeatable, auditable, and safe.
• Strong cross-functional communication skills—you can translate between engineering, product, and business stakeholders and influence without relying solely on authority.
• A bias toward data-driven decision making, using production data, capacity signals, and incident trends to inform priorities and investments.

Preferred:

• Background working with GPU workloads, high-performance computing, or latency/throughput-sensitive systems.
• Experience with multi-tenant, multi-region, or highly regulated environments, and the associated reliability considerations.
• Familiarity with service ownership models and strong opinions on how to align ownership, on-call, and accountability in a scalable way.
• Experience mentoring or managing senior engineers and building high-performing teams through coaching, feedback, and clear expectations.

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You care deeply about operational excellence and see reliability as a product feature, not an afterthought.
• You’re excited by the challenge of bringing order and clarity to complex, rapidly evolving systems.
• You’re passionate about building humane, sustainable on-call practices and learning from incidents without blame.
• You enjoy partnering with multiple teams, influencing through context and clarity rather than authority alone.
• You’re curious about how to run large-scale, GPU-intensive workloads reliably and efficiently in production.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

About this Role:

We are seeking a highly experienced and strategic Principal Engineer to lead the architecture, development, and operations of Managed databases for AI-workloads. In this role, you will help shape the vision and direction on how customers and internal stakeholders store and access operational data for AI/ML workloads. Further, the role will define the strategy and lead vertical stack integration of data needs for AI inferencing and Agentic flows. You will have direct access to customers and work closely with engineering stakeholders across CoreWeave products.

What You'll Do:

• Define and drive CoreWeave’s Managed databases technical roadmap and strategy.
• Design and implement advanced database solutions applicable to AI workloads, while ensuring fault tolerance, high-scale and low-latency.
• Build solutions that offer programmatic access to creating, scaling, and modifying databases.
• Champion initiatives to improve reliability, durability, and self-healing capabilities of systems, and assume operational responsibilities.
• Develop operational review practices to assess performance against targets and iterating on those targets.
• Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence.
• Mentor and guide engineering teams on best practices in product engineering, fostering a customer-focused approach to systems design and technical excellence.

Who You Are:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 10+ years of experience in distributed systems, with a focus on reliability and scale. Hands-on technical leader.
• Prior experience with managed databases as a SaaS offering.
• Proven experience building products to address customer needs.
• Prior experience of building AI features in production is a plus.
• Proficiency in Golang or Python.
• Strong understanding of cloud computing infrastructure using Kubernetes, scalable architectures, and automation.
• Excellent analytical and problem-solving skills, with the ability to synthesize problem statements from interactions with customers and design solutions given ambiguous requirements.
• Strong communication and interpersonal skills, able to convey storage engineering strategies and practices to technical and non-technical audiences.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is $227,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do:

We are looking for a highly experienced and strategic Principal Engineer, Observability to lead the architecture, development, and operations of our Observability platform. In this role, you will define how customers monitor, troubleshoot, and operate their AI workloads at scale on CoreWeave.

You will work directly with customers and partner closely with engineering leaders across multiple teams to drive a unified Observability experience across CoreWeave products—spanning metrics, logs, traces, and customer-facing insights.

About the role:

• Lead the Observability strategy and roadmap, ensuring clear alignment with business goals, product direction, and performance/SLA objectives
• Design and implement low-latency, high-scale telemetry pipelines and data stores solutions that power observability across all CoreWeave products
• Build customer-facing experiences—dashboards, alerts, and workflows—that enable rapid troubleshooting and deep insight into AI workloads and platform health
• Drive reliability, durability, and self-healing across the Observability stack, owning key services in production and setting a high bar for operational excellence
• Shape customer experience for visibility by defining standards for metrics, SLOs, and dashboards that expose system performance and reliability in a clear, actionable way
• Analyze production telemetry to identify and prioritize improvements in performance, reliability, and efficiency across the platform
• Act as a trusted advisor to senior leadership, bringing perspective on observability trends and advocating for the right long-term technology investments
• Partner with engineering, infrastructure, and product teams to ensure Observability is deeply integrated into evolving architectures, APIs, and customer features
• Mentor and uplevel engineers across teams, promoting best practices in observability, distributed systems, and customer-focused product engineering

Who You Are:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
• 15+ years of experience building and operating distributed systems at scale, with a strong track record of reliability-focused engineering
• Proven experience leading Observability platform engineering initiatives and delivering products that directly address customer needs
• Strong proficiency in one or more programming languages such as Go, Python, or Rust, and comfort working in large-scale production environments
• Deep understanding of distributed observability systems and telemetry pipelines (e.g., ClickHouse or similar technologies for telemetry at scale)
• Strong understanding of cloud-native infrastructure—Kubernetes, scalable architectures, automation, and modern CI/CD and deployment practices
• Excellent analytical and problem-solving skills, including the ability to synthesize ambiguous customer and system signals into clear problem statements and designs
• Exceptional communication and collaboration skills, able to articulate observability strategies, trade-offs, and best practices to both technical and non-technical stakeholders
• Prior experience building end-to-end Observability solutions (metrics, logs, traces, dashboards, alerting) in production environments

Preferred:

• Experience with modern AI platforms and workloads (e.g., large-scale training/ inference, GPU-based infrastructure, MLOps tooling) is a plus

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Key Responsibilities:

• Jump into highly complex legacy systems to understand not only the current state, but identifying root causes of architectural friction and a path forward
• Transition seamlessly from deep-dive debugging to high-level system design, conceiving and socializing the overall plan for SoundCloud’s API and core infrastructure
• Lead from the trenches by writing foundational, high-performance code that sets the gold standard for engineering excellence
• Leverage agentic workflows and AI-assisted engineering as a force multiplier to map legacy logic and accelerate the modernization of core systems at 10x the speed of traditional methods
• Help establish guardrails, guidelines, and knowledge bases so these agents will act with efficiency and safety for you and the other engineering teams
• Ensure that throughout its evolution, the platform is performant, scalable, reliable, and malleable. The goal is long term stability, reduced risk, and higher velocity, improved visibility, and rapid experimentation. 
• Partner with other senior engineers as we define and build the next generation of SoundCloud’s systems 
• Collaborate with Product, Frontend, Data, Security, and Platform teams to deliver solutions aligned with business and user needs
• Partner with the CTO and other key technical leads in the company to identify the most critical projects

Experience and Background:

• 10+ years of experience with a proven track record of entering "unknown-unknown" environments and bringing architectural order to chaos in high-scale distributed systems
• Deep experience with REST/GraphQL APIs, microservices, caching, databases, and cloud infrastructure (AWS and/or GCP)
• Strong mentoring and team development skills, with ability to influence cross-functional engineering and product teams
• A systems thinker with the heart of a hacker. You must be equally comfortable whiteboarding a 3-year roadmap as you are in a high-pressure war room debugging a production bottleneck
• Proven experience leading 'strike teams' or 'SWAT units' in high-scale environments where you were personally responsible for both the diagnostic and the delivery

The salary range for this role is $240,000 - $280,000 annually. The final salary offered will be determined based on relative experience, skills, internal equity, and location. We also offer a generous total rewards program - read more about additional benefits and perks below!

About us:

• We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London)
• We provide a flexible work culture that offers the opportunity to collaborate and connect in person at our offices as well as accommodating work from home
• We are deeply committed to ensuring diversity, equity and inclusion at all levels of our organization and fostering a community where everyone’s voice, perspective and experience is respected and heard
• We believe a strong team is made by investing in employees through mentorship, workshops and enrichment opportunities

Benefits:

• Comprehensive health benefits including medical, dental, and vision plans, as well as mental health resources
• Robust 401k program
• Employee Equity Plan
• Generous professional development allowance
• Interested in a gym membership, photography course or book? We have a Creativity and Wellness benefit!
• Flexible vacation and public holiday policy where you can take up to 35 days of PTO annually
• 16 paid weeks for all parents (birthing and non-birthing), regardless of gender, to welcome newborns, adopted and foster children
• Various snacks, goodies, and 2 free lunches weekly when at the office

Diversity, Equity and Inclusion at SoundCloud

SoundCloud is for everyone. Diversity and open expression are fundamental to our organization; they help us lead what’s next in music by understanding and empowering our creators and fans, no matter their identity. We acknowledge the challenges in the music industry, and strive to influence an inclusive culture where everyone can contribute respectfully and thrive, especially the historically marginalized communities that many of our creators, fans and SoundClouders identify with. We are dedicated to creating an inclusive environment at SoundCloud for everyone, regardless of gender identity, sexual orientation, race, ethnicity, migration background, national origin, age, disability status, or care-giver status.

At SoundCloud you can find your community or elevate your allyship by joining a Diversity Resource Group. Diversity Resource Groups are employee-organized groups focused on supporting and promoting the interests of a particular underrepresented community in order to build a more inclusive culture at SoundCloud. Anyone can join, whether you share the identity or strive to be an ally.

About Sovrn

Every interesting company solves important problems for other people.  Sovrn is a Software and Data business that helps Open Web businesses be and remain independent.  We help them understand their business better, operate more efficiently, and make & keep more money.

• We believe in the freedom and free-flow of information.
• We believe the Open Web is the largest source of this information.
• We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

• Understand their business better, so they can make better decisions
• Operate their business more efficiently, so they can invest in what matters most
• Make (and Keep) more money, so they control their own destiny

About the Role

Sovrn is a supply-side platform (SSP) built to help publishers grow, protect, and understand their businesses. We operate at the intersection of programmatic advertising infrastructure and publisher monetization — processing hundreds of billions of ad requests daily across a global, high-throughput exchange.

We're looking for a Principal Software Engineer with deep roots in adtech infrastructure and a genuine conviction about what AI-native engineering looks like in practice. This role is backend-focused at its core — you'll work on the systems that power our exchange, from bid request processing and traffic shaping to data pipelines and auction logic. But we're also at an inflection point in how we build software, and we want this person to help lead us through it.

From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.

Languages/components/tools in our stack: Java, Kafka (Redpanda), AWS, Databricks, Datadog, ONYX.

What you'll be doing:

• Own the design and evolution of backend systems that operate at exchange scale — high throughput, low latency, always on
• Lead architectural decisions across auction infrastructure, bid processing, traffic shaping, and supply-side integrations
• Establish and champion AI engineering practices across the team — from prompt engineering and RAG patterns to agentic workflow design and LLM evaluation
• Identify high-leverage opportunities to apply AI in our adtech stack: traffic scoring and filtering, bid shading, yield optimization, anomaly detection, and automated decisioning
• Set standards for how we evaluate, trust, and operate AI-powered systems in production — including observability, fallback behavior, and model governance
• Drive technical standards, design reviews, and engineering best practices across a senior team
• Partner with product, data science, and platform teams to ship end-to-end
• Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it
• Mentor and level up engineers through code review, design collaboration, and hands-on guidance

A successful candidate will have:

• 10+ years of software engineering experience, with a strong backend track record
• 5+ years working specifically in adtech infrastructure — SSP, DSP, exchange, or ad server environments
• Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
• Experience building and operating systems at exchange scale — high QPS, strict latency budgets, fault tolerance
• Demonstrated experience leading AI or agentic engineering efforts in production environments — not just experimentation, but shipped, operated, and iterated on
• Hands-on experience with LLM integration patterns: RAG, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
• Strong distributed systems fundamentals: messaging, caching, service architecture, observability
• Comfort driving technical decisions in ambiguous, fast-moving environments
• A point of view on where AI is and isn't the right tool — and the credibility to make that case

Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Hybrid #LI-Remote

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.

Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking

Compensation and Benefits

The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.

Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.

Recruitment Agencies

Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.

About Sovrn

Every interesting company solves important problems for other people.  Sovrn is a Software and Data business that helps Open Web businesses be and remain independent.  We help them understand their business better, operate more efficiently, and make & keep more money.

• We believe in the freedom and free-flow of information.
• We believe the Open Web is the largest source of this information.
• We believe in helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

• Understand their business better, so they can make better decisions
• Operate their business more efficiently, so they can invest in what matters most
• Make (and Keep) more money, so they control their own destiny

About the Role

Sovrn is a supply-side platform (SSP) built to help publishers grow, protect, and understand their businesses. We operate at the intersection of programmatic advertising infrastructure and publisher monetization — processing hundreds of billions of ad requests daily across a global, high-throughput exchange.

We’re looking for a Principal Software Engineer (Data) with deep roots in adtech data infrastructure and a genuine conviction about what AI-native data engineering looks like in practice. This is a specialized principal-level engineering role — one that carries all the architectural ownership and technical leadership expectations of a Principal Software Engineer, focused on Sovrn’s Data Collective.

From a generative/agentic AI capabilities standpoint, we already use LLMs and agentic tooling across our data stack and, we’re looking for is someone who can help us take that from general adoption to intentional practice — who has strong opinions about where AI creates real leverage in a high-throughput adtech environment, and who can bring the rest of the engineering organization along with them.

Languages/components/tools in our stack: Python, Pyspark, Kafka, Databricks, AWS

What you'll be doing:

Data Platform & Architecture

• Own the design and evolution of data platform systems that operate at exchange scale; high throughput, real-time streaming, and always-on batch pipelines
• Lead architectural decisions across data infrastructure: pipeline design, data modeling, lakehouse architecture, and data services layers
• Specify data platform components and configurations required for pipeline implementation; define pipeline observability to understand and improve performance at massive scale
• Research, implement, and evolve methods to process and democratize data across the organization
• Drive technical standards, design reviews, and engineering best practices across a senior team
• Partner with product, data science, and platform teams to ship end-to-end

AI & Agentic Engineering Leadership

• Establish and champion AI engineering practices across the team, from prompt engineering and RAG patterns to agentic workflow design, LLM evaluation, and progressive implementation of agentic design patterns
• Identify high-leverage opportunities to apply AI in our data stack: intelligent pipeline optimization, anomaly detection, automated data quality, forecasting, and LLM-powered data services
• Lead the evolution of our existing LLM and agentic tooling from passive use to intentional, well-architected integration within our data platform
• Set standards for how we evaluate, trust, and operate AI-powered systems in production, including observability, fallback behavior, and model governance
• Help the broader engineering team build fluency and confidence with AI tooling, not just tolerance of it

Collaboration & Mentorship

• Provide domain expertise across the organization to enable business growth through data services and data models
• Provide counsel to all consumers and stakeholders of data to enable efficient and impactful use of our data assets
• Mentor and level up engineers through code review, design collaboration, and hands-on guidance; foster a culture of innovation and continuous learning
• Operate with high autonomy across ambiguous, high-impact problems

A successful candidate will have:

• 10+ years of software engineering experience, with a strong data engineering and backend track record
• 5+ years working specifically in adtech data infrastructure, SSP, DSP, exchange, or ad server environments
• Deep fluency in the programmatic ecosystem: OpenRTB, bid request/response flows, auction mechanics, supply path optimization, or similar
• Excellent understanding of real-time streaming and batch pipelines, big data, and data lakes; hands-on experience in distributed data processing in the AWS ecosystem
• Strong understanding of second-layer big data platforms such as Snowflake and Databricks, applicable use cases, best practices, implementation, and support considerations
• Strong experience in structured, unstructured, and semi-structured data techniques; metadata management, data lineage, and data governance
• Experience with data security and compliance (PII, CCPA, GDPR, etc.)
• Demonstrated experience leading AI or agentic engineering efforts in production environments; not just experimentation, but shipped, operated, and iterated on
• Hands-on experience with LLM integration patterns: RAG, vector DBs, tool use, multi-step agentic workflows, prompt engineering, and evaluation frameworks
• Ability to clearly document and communicate architectural concepts at multiple levels; ability to lead problem definition, solution designs, and implementation work plans
• Understanding of DevOps and SRE practices
• Comfort driving technical decisions in ambiguous, fast-moving environments
• A point of view on where AI is and isn’t the right too, and the credibility to make that case

Location: This position is based in our Boulder Colorado or New York City office. Applicants need to be able to commute/travel to our Boulder or New York City location. For exceptional candidates we would consider remote locations in these states: AZ, CA, CO, GA, MD, MA, MI, MO, NJ, NY, NC, OK, TX, UT, WA. #LI-Remote, #LI-Hybrid

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what we’re looking for.

Sovrn Core Values: Candid, Customer Empathy, Learning, Scrappy, Second Order Thinking

Compensation and Benefits

The base pay range for this position is $200,000 to $240,000 annually. In addition to the base salary, the total compensation package includes bonus, equity, and benefits. Actual earnings may vary depending on the candidate’s direct experience, skills, industry knowledge, and location.

Sovrn offers a full slate of benefits from competitive salaries, stock options, medical, dental, and vision coverage, short and long-term disability, life insurance, 11 paid holidays, flexible vacation, commuter benefits, a 401(k) plan and match, and a paid parental leave program.

Job Posting

Applications will be accepted until July 1, 2026.

Equal Opportunity Employer

Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law.

Recruitment Agencies

Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.

The Role:

Visa sponsorship is not offered for this role.

Learn More about Value Engineering at Celonis Here

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

Senior Software Engineer 

Dealpath's engineering team is built around technical excellence, collaboration, impact, and execution. As AI fundamentally changes how great software gets built, we're looking for talented engineers with a growth mindset who are excited to work at that frontier — and help us build the future of real estate investment management.

You’re excited about this opportunity because you’ll

• Work as part of a strong, passionate engineering team that takes craft seriously.
• Use AI coding tools (Claude Code, Cursor, and others) as a core part of your daily workflow — directing them, evaluating their output, and iterating quickly to ship great features.
• Spend more time solving real product problems and less time on boilerplate — describing the problem clearly, letting the LLM generate code and tests, then refining until it's right.
• Rapidly build and deploy new product features that directly serve the needs of the world's leading real estate investors.
• Work closely with product and design to shape and prioritize what gets built.
• Collaborate with the quality team to write testable code, fix bugs, and continuously raise the bar.
• Review commits and AI-generated code to uphold standards of quality, security, and maintainability.

We’re excited that you are

• Analytical with solid problem-solving skills and strong CS fundamentals: data structures, system design, and the ability to reason about tradeoffs.
• Comfortable working independently — you take ownership end-to-end, unblock yourself, and drive projects to completion without constant oversight.
• Strong on product sense — you think about the user and the business, not just the implementation.
• Fluent in directing AI tools like Claude Code or Cursor: you describe a problem clearly, generate code and tests, evaluate the output critically, and iterate until it's right.
•  Able to evaluate AI-generated code by the same bar as hand-written code — spotting bugs, edge cases, security gaps, and performance issues before they ship.
• A clear communicator, written and verbal, with the ability to articulate technical tradeoffs to both engineering and non-technical partners.
• Excited to work in a fast-paced startup environment and committed to a great developer and customer experience.

Qualifications

• BS in Software Engineering, Computer Science, or a minimum of 8+  years of industry experience as a software engineer.
• Strong CS fundamentals: data structures, and the ability to reason about software system design — including performance, reliability, and data integrity tradeoffs.
• Hands-on experience with AI-assisted development tools (Cursor, Claude Code, or similar) used in real production work, not just experiments.
• Demonstrated ability to work independently: you take ownership of features end-to-end, navigate ambiguity, and deliver without being managed step-by-step.
• Solid written and verbal communication skills — you can clearly describe a problem to an LLM, a teammate, or a product manager.
• 4+ years building web application back-ends using technologies like Ruby, Flask, or Node.
• 4+ years building web application front-ends with technologies like React, Angular, or Vue.

For bonus points

• You have a builder mindset — you get excited about solving complex engineering challenges, not just implementing specs.
• You are interested in Commercial Real Estate (CRE) or FinTech.
• You have experience integrating LLM APIs or building AI-assisted workflows into production systems. 
• You have worked in a high-growth SaaS company and are comfortable in a codebase that's evolving fast.

The Perks & Culture

• Medical, dental, & vision insurance coverage
• Flexible Spending Account
• Paid Parental Leave
• 401(k)
• Company sponsored commuter benefits
• Flexible time off policy
• Catered lunches and snacks
• Monthly wellness reimbursement

The estimated pay range for this position is currently set between $161,000 - $188,000 and reflects your experience, qualifications, education, and location. This position is also eligible for Dealpath's equity plan. Your actual compensation will be confirmed in writing at the time of offer.

About Dealpath

Dealpath is the world's largest and most trusted AI-powered operating system for real estate investing. To date, the platform has powered more than $10 trillion in transactions, partnering with hundreds of firms, including leading global institutions such as Blackstone, Nuveen, LaSalle, CBRE IM, MetLife, Newmark, Oxford Properties, New York Life, UBS, Manulife, DWS, and Principal.

By bringing together the only private exchange for institutional real estate listings, investment data, and intelligent execution workflows into a single platform, Dealpath enables firms to capture more opportunities, make faster decisions, execute efficiently, and deliver superior returns.

Our company is led by an experienced team and backed by a combination of top tier venture capital firms and strategic industry partners including: Blackstone, Nasdaq, 8VC, JLL Spark, WTI, GreenSoil Investments, LeFrak, Milstein, Bechtel, and Morgan Stanley Expansion Capital.

We value your voice! If you get excited about solving real business challenges and working closely with other smart folks in a winning culture — we'd love to meet you!

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

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

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

About EvolutionIQ: EvolutionIQ’s mission is to deliver state-of-the-art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026!

The Mission: EvolutionIQ is seeking to scale our infrastructure, systems, and people to support an agentic future for the insurance industry. We are looking for a Principal Software Engineer—a pragmatic visionary who will serve as a high-leverage force multiplier across the entire organization.

In this role, you will drive the technical vision for our new agentic products and the growth of our platform. You will solve our most complex technical bottlenecks and serve as the critical bridge between executive strategy and engineering execution. Your mission is to ensure our technical roadmap directly supports our product goals while leveling up the software engineering rigor across our 100+ person organization.

What You’ll Achieve:

• Architect the Agentic Future: Lead the transition from traditional data pipelines to event-driven, agentic systems that handle tens of millions of unstructured documents with world-class stability.
• Bridge the Platform-Product Divide: Act as a critical interface to ensure the Platform team builds generalized, high-utility tools that solve real problems for Product Engineers.
• Accelerate the SDLC: Use first principles thinking to leverage AI and agentic tools to accelerate the entire software development lifecycle—from testing to deployment—ensuring we maintain high throughput as we scale.
• Drive Organizational Influence: Partner with the CTO and EVP of Product and Technology to align technical strategy with business outcomes. You will influence the adoption of modern technologies by building the right environment for teams to succeed.
• Pragmatic Implementation: Rapidly turn ideas into thoughtful designs with multiple options and trade-offs. You will lead the "1 to 10" journey towards iterative, startup-ready progress.

About You:

• The Pragmatic Architect: You have a startup-first mindset. You know when to build for 10x scale and when over-engineering will hinder the company. You value getting stuff done and iterative bridging over theoretical rewrites.
• Product-Minded Engineer: You can translate high-level business needs into technical requirements. You think like a PM, are comfortable writing a PRD, and can effectively push back against stakeholders to ensure technical work delivers actual business value.
• Battle-Tested Leader: You have seen the "1 to 10" scale-up journey. You possess the startup rigor to move fast, combined with the enterprise wisdom to build systems that don't break under massive volume.
• Technically Polyglot: You have a deep software engineering foundation but understand the emerging agentic landscape (embeddings, RAG, retrieval) at a level that commands respect from Staff-level SMEs.
• Expert Communicator: You are an over-communicator by nature. You break down silos and can explain complex technical trade-offs to both junior engineers and executive leadership.

Work-life, Culture & Perks

• Compensation: The base salary range is $280-325K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
• Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
• Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
• Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
• Growth & Training: $1,000/year for each employee for professional development, as well as opportunities for tuition reimbursement.
• Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa.

EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About the role: 

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of  a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. 

Required skills

• 10–12+ years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
• 1+ years of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
• Expert in architecting GenAI applications/systems using various frameworks & cloud services
• Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Experience in driving the engineering team toward a technical roadmap.
• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

• Build the technical roadmap given a business requirement and own the delivery of the same.
• Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. 
• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Education

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.

Salary Range:$200-245K Base + equity

Position Overview

SNHA, A Woolpert Company is seeking a Senior Project Manager for our Mission Critical Project Management team. This position would be aligned with our offices located in Chicago, IL, New York, NY and/or Pittsburgh, PA and would support full-time in-person/hybrid, and remote working arrangements.

We are unable to provide visa sponsorship for this position.  Applicants must already possess work authorization in the country the job is located.

What You Will Do:

• Lead and facilitate the overall cross-functional project team to plan, direct, and coordinate activities in architectural and multidisciplinary projects.
• Oversee the quality of deliverables prepared by team members, including, but not limited to, fee plans, work plans, risk mitigation plans, and contracts.
• Resolve issues impacting project objectives.
• Lead or support team in scope and budget/pricing development for proposals and dynamic project planning.
• Support client relationships and business development in support of strategic business plan.
• Act as key point of internal contact for communication. Identify plan vs. actual performance variances in architecture and multidisciplinary projects.
• Promotes SNHA, A Woolpert Company and parent company Woolpert as an industry leader for mission critical practice and service(s) with new and existing clients
• Project Managers to work with Market Leads in negotiation of project schedule, fee, scope and contract terms for complex, multidiscipline projects.
• Identify, address and resolve any project issues impacting client goals, objectives and/or client satisfaction
• Defines and communicates client needs and expectations
• Ensures continuous stakeholder (client, client’s manager, etc.) communications addressing, resolving and anticipating project issues

What You Will Bring:

• Active Professional Registration (Licensed Architect or Licensed Engineer) is desired.  
• Minimum of 15 years related Architectural, Engineering, or Construction industry experience required, PMP Certification preferred
• Experience in mission-critical, such as airports, healthcare facilities, large transportation terminals, semiconductor facilities, or projects of equivalent complexity and scale (approximately 400,000 square feet), are required.
• Extensive project management experience on data center projects is strongly preferred.
• Strong understanding of project management fundamentals and ability to facilitate technical discussions when needed
• Demonstrated leadership skills and ability to negotiate, influence and manage risk
• Be able to effectively communicate in both internal and external relationships for all essential job functions
• Be able to make sound decisions/recommendations based on the evaluation and synthesis of project information and data
• Must be able to travel for local, regional, and national clients and projects

Benefits You Will Love

Certified as a Great Place to Work, Woolpert is one of the fastest-growing architecture, engineering, and geospatial companies in the world. With over 75 offices and countless projects around the globe, you’ll work on meaningful assignments that improve quality of life around the world. In addition to offering competitive pay, we provide employees with a robust set of unique benefits, including:

• Freedom to Work program: Set your own schedule and location (as appropriate).
• Principal program: Earn the opportunity to become an owner of the firm.
• Flexible paid time off/vacation: Take time off when it makes sense for you and your team.
• Career development: Explore a wide range of learning and growth opportunities within and across industries.
• Health, life, vision, and dental insurance: Cover all your medical bases.
• Paid sick time, retirement plan, fitness reimbursement, pet insurance, identity protection, technology stipend, employee assistance program, and more!

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. 

The Role

We’re seeking a seasoned Senior/Principal Software Engineer to join our dynamic team and drive meaningful business impact across our product capabilities and technical systems. This role is ideal for someone who thrives in autonomy, navigates ambiguity with confidence, and consistently raises the bar for technical excellence and team collaboration.

You’ll be a key contributor in designing scalable systems, shaping technical roadmaps, and mentoring teammates—all while aligning engineering decisions with long-term business goals and customer impact.

Responsibilities

• Work with and learn from a talented team of engineers and product managers located in India, Switzerland and the United States
• Independently drive initiatives that create measurable business value across teams and systems
• Provide input to the technology roadmap; innovate and bring new challenging ideas to life
• Work with team members and other stakeholders to understand requirements, review user feedback, plan development tasks, and prototype new product features
• Architect robust software and microservices aligned with strategic objectives and long-term scalability
• Ensure high standards through code reviews, design critiques, and technical leadership
• Make informed technical choices rooted in deep understanding of business context and customer needs
• Support teammates’ development with empathetic, constructive feedback and coaching
• Build strong relationships across disciplines, identify talent gaps, and foster inclusive team culture

What You Bring

• 7+ years of professional experience in software engineering, ideally within the AdTech domain
• Proven track record of delivering impactful software solutions in Java, Python and PHP
• Hands-on experience with:
• Docker, HCL, GitHub Actions
• Microservices architecture
• OpenFGA, Auth0, RedPanda, AWS
• Mysql
• Strong systems thinking and ability to balance technical depth with business context
• Excellent communication skills and a collaborative mindset
• Passion for mentoring, inclusive culture-building, and driving technical excellence

About SecurityScorecard:

SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. 

Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.”  SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital.

About the Role:

What You Will Own:

Required Qualifications:

• 8 or more years of experience operating at a Staff or Principal level in a hands-on infrastructure or IT engineering role, with a track record of owning systems and functions fully, not just contributing within them
• Expert-level Okta administration, including Lifecycle Management, Workflows, and API integration
• Hands-on experience managing macOS fleets at scale, including MDM tooling and device compliance enforcement
• Strong Google Workspace administration experience in an enterprise environment
• Proficiency in building and maintaining integrations and automations via APIs, scripting, and workflow platforms — with a portfolio of cross-functional tooling that other teams depend on
• Experience with workflow automation platforms such as Zapier, BlinkOps, or equivalent
• Experience owning an IT or SaaS budget, including vendor contract negotiation, renewal management, and license optimization
• Familiarity with endpoint security tooling — CrowdStrike Falcon or equivalent EDR platform experience required
• Experience producing audit evidence and operating within a SOC 2, ISO 27001, or equivalent compliance framework
• Prior experience mentoring or actively developing engineers, with demonstrated impact on their growth and ownership
• Comfort operating in a security-focused environment where access control, auditability, and least-privilege are non-negotiable
• Ability to manage competing priorities and operate independently in a lean, high-trust environment

Preferred Qualifications:

• Prior experience at a cybersecurity company or similarly regulated environment — you understand the cultural weight of security-first infrastructure without needing it explained
• Experience administering and governing AI tools in a corporate environment, including acceptable use policy enforcement and shadow AI controls
• Experience with HashiCorp Vault or equivalent secrets management platform
• Exposure to physical access control systems and corporate network infrastructure
• Experience building automation tooling that serves non-technical stakeholders across functions such as Finance, HR, or GTM
• Familiarity with Atlassian products (Jira and Confluence) at an administrative level
• Exposure to FedRAMP authorization environments and the infrastructure controls they require

Benefits:

Specific to each country, we offer a competitive salary, stock options, Health benefits, and unlimited PTO, parental leave, tuition reimbursements, and much more!

The estimated total compensation range for this position is $160,000 - $195,000 (base plus bonus). Actual compensation for the position is based on a variety of factors, including, but not limited to affordability, skills, qualifications and experience, and may vary from the range. In addition to base salary, employees may also be eligible for annual performance-based incentive compensation awards and equity, among other company benefits. 

SecurityScorecard is committed to Equal Employment Opportunity and embraces diversity. We believe that our team is strengthened through hiring and retaining employees with diverse backgrounds, skill sets, ideas, and perspectives. We make hiring decisions based on merit and do not discriminate based on race, color, religion, national origin, sex or gender (including pregnancy) gender identity or expression (including transgender status), sexual orientation, age, marital, veteran, disability status or any other protected category in accordance with applicable law. 

We also consider qualified applicants regardless of criminal histories, in accordance with applicable law. We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact talentacquisitionoperations@securityscorecard.io.

Any information you submit to SecurityScorecard as part of your application will be processed in accordance with the Company’s privacy policy and applicable law. 

SecurityScorecard does not accept unsolicited resumes from employment agencies.  Please note that we do not provide immigration sponsorship for this position.   #LI-DNI

As a Senior DevOps Engineer, you will be a critical member of our infrastructure team based in New York, providing earlier-hours coverage and support for our cloud-based platform as we scale into a multi-shard environment. You will work closely with software engineers to deploy code at scale, drive SRE practices, and lead infrastructure reliability, observability, and security initiatives.

This is a high-visibility, highly independent role that requires strong ownership. You will be instrumental in expanding our logging, monitoring, and observability tooling, and will also play a key part in setting up our Google Cloud Platform (GCP) infrastructure as we expand our AI capabilities.

This role requires 3 days in-office (Tuesday, Wednesday, Thursday).

What you’ll Do

• Provide infrastructure support and on-call coverage from New York, ensuring east-coast availability during early business hours.
• Manage and scale our multi-shard AWS environment, maintaining high availability, performance, and security.
• Own SRE responsibilities: incident response, reliability engineering, and improving system uptime and resilience.
• Build and expand logging, monitoring, alerting, and observability tooling across our cloud infrastructure.
• Work with engineering teams to ensure new features are deployed quickly, safely, and easily.
• Spearhead network security and compliance initiatives, implementing fine-grained access controls.
• Lead the setup and configuration of GCP infrastructure, including permissions, IAM, and AI platform services (Gemini Enterprise Agent Platform / Vertex AI).
• Design and implement automation and configuration management to streamline deployment processes.

Who you are

• A self-starter comfortable working independently in a remote/New York setting, with strong ownership of your domain.
• Passionate about automation, observability, and building reliable, scalable systems.
• Experienced with SRE practices — you think about reliability, error budgets, and scalability proactively.
• A clear communicator who works well across engineering teams and time zones.
• Excited by multi-shard architectures and the infrastructure challenges that come with them.

Qualifications

• B.S. in Computer Science or equivalent experience.
• 8+ years of DevOps/SRE experience in a production environment.
• Deep experience deploying and managing infrastructure on Amazon Web Services (EC2, S3, RDS, EKS, Opensearch  and related services).
• Strong understanding of networking fundamentals, Linux systems administration, and modern web architectures (HTTP, REST).
• Proficiency in shell scripting and at least one scripting language (Python, Ruby, etc.).
• Hands-on experience building and maintaining logging, monitoring, alerting, and observability systems.

Nice to haves

• Experience with Google Cloud Platform (GCP) — particularly IAM, networking, and managed services.
• Familiarity with Gemini Enterprise Agent Platform or Vertex AI infrastructure setup.
• Experience scaling infrastructure to support AI/ML workloads.
• Database administration experience (PostgreSQL, MySQL, or similar).
• Experience with automation and configuration management tools such as Ansible, Chef, or Puppet.
• Experience with multi-shard or multi-tenant SaaS architectures.

The Perks & Culture:

• Medical, dental, and vision insurance.
• Health Savings Account (HSA) & Flexible Spending Account (FSA) options.
• 401(k) retirement plan.
• Paid Parental Leave.
• Flexible Time Off (FTO) policy.
• Commuter benefits program.
• Monthly wellness reimbursement to support physical and mental well-being.
• Hybrid Work Policy.
• Base salary range: $170,000–$186,000. This position is also eligible for Dealpath's equity plan.
• Your compensation will be based upon several factors including your experience, qualifications, education, location, and the skills assessed in Dealpath's interview process. Your actual compensation will be confirmed in writing at the time of offer.
• Dealpath's compensation ranges are determined by current market data, so compensation data posted on our job posts may change as new market data becomes. 

About Dealpath

Dealpath is the world's largest and most trusted AI-powered operating system for real estate investing. To date, the platform has powered more than $10 trillion in transactions, partnering with hundreds of firms, including leading global institutions such as Blackstone, Nuveen, LaSalle, CBRE IM, MetLife, Newmark, Oxford Properties, New York Life, UBS, Manulife, DWS, and Principal.

By bringing together the only private exchange for institutional real estate listings, investment data, and intelligent execution workflows into a single platform, Dealpath enables firms to capture more opportunities, make faster decisions, execute efficiently, and deliver superior returns.

Our company is led by an experienced team and backed by a combination of top tier venture capital firms and strategic industry partners including: Blackstone, Nasdaq, 8VC, JLL Spark, WTI, GreenSoil Investments, LeFrak, Milstein, Bechtel, and Morgan Stanley Expansion Capital.

We value your voice! If you get excited about solving real business challenges and working closely with other smart folks in a winning culture — we'd love to meet you!

Position Overview

Woolpert is hiring a Program Director for the Mission Critical team. The Program Director must be a licensed Architect or Engineer and is primarily responsible for sales and growth within the Mission Critical practice area through the establishment and improvement of client relationships. This position is also responsible for working across practice areas and service lines to develop business opportunities and ensure services are performed in a manner compatible with the goal of being an industry leader. This position reports to Mission Critical Market Director.  

We are unable to provide visa sponsorship for this position. Applicants must already possess work authorization in the country the job is located.     #LI-SN1

What You Will Do:

Business Development  

• Build and enhance existing client relationships to identify and initiate additional project opportunities within a client base for the service line, practice area and firm. 
• Identify and build new client relationships that match the client and project type focus and overall business strategy of the service line and practice area. 
• Promote SNHA (a Woolpert company) as an industry leader for specified market/practice and service(s) with new and existing clients. 
• Early project feasibility and strategic design input. 
• Collaborate with the MC Market Director and Building Sector Leader to define the EU market sales goals. 

Collaboration and support 

• Mentor and assist project managers in negotiating project schedules, fees, scope and contract terms.  
• Work with Project Managers to identify, address and resolve any project issues impacting client goals, objectives and/or client satisfaction.   
• Define and communicate client needs and expectations. 
• Ensure continuous stakeholder (client, client’s manager, etc.) communications addressing, resolving, and anticipating project issues. 

What You Will Bring:

Qualifications and Experience 

• BA/BS or MA/MS in Architecture, Mechanical Engineering, Civil Engineering, Electrical Engineering or similar field of study required. 
• 15 or more years of related experience in the Mission Critical Datacenter industry
• Current Professional Registration  
• Office 365: Word, Excel, Teams, SharePoint, Outlook, PowerPoint, basic AutoCad and Bluebeam (Essential). 
• Ability to travel within reason to meet the needs and demands of the practice area 

General Aptitude 

• Ability to make sound decisions/recommendations based on the evaluation and synthesis of information and data. 
• Demonstrates an enterprising, innovative, proactive management approach. 
• Possesses high levels of demonstrated leadership ability. 
• Ability to research and define multiple project scopes, schedules, and budgets. 
• Ability to establish and maintain rapport with clients, vendors, management and employees. 
• Possesses strong negotiation and problem-solving skills.  
• Possesses excellent facilitation and/or meeting skills.  
• Possesses excellent presentation and communication (oral and written) skills. 
• Strong understanding of project management and ability to facilitate technical discussions when needed.  
• Strong organizational skills to successfully manage multiple, competing priorities.
• Engaging with good interpersonal skills.

Benefits You Will Love

Certified as a Great Place to Work, Woolpert is one of the fastest-growing architecture, engineering, and geospatial companies in the world. With over 75 offices and countless projects around the globe, you’ll work on meaningful assignments that improve quality of life around the world. In addition to offering competitive pay, we provide employees with a robust set of unique benefits, including:

• Freedom to Work program: Set your own schedule and location (as appropriate).
• Principal program: Earn the opportunity to become an owner of the firm.
• Flexible paid time off/vacation: Take time off when it makes sense for you and your team.
• Career development: Explore a wide range of learning and growth opportunities within and across industries.
• Health, life, vision, and dental insurance: Cover all your medical bases.
• Paid sick time, retirement plan, fitness reimbursement, pet insurance, identity protection, technology stipend, employee assistance program, and more!

The Team:

AlphaSense’s Design team is a strategic driver of product differentiation, shaping how the world’s leading companies make high-stakes decisions with confidence. We believe great UX is not just about usability, it’s about deeply understanding our customers’ workflows and building experiences that feel tailored, intelligent, and indispensable to how they work.

As AlphaSense evolves into an AI-native platform, Design plays a critical role in defining how AI shows up in real workflows, from search to synthesis to decision-making. We partner closely with Product and Engineering to turn complex data and advanced AI capabilities into cohesive, intuitive, and high-quality experiences.

Our team is a global group of craftspeople, systems thinkers, and innovators who care deeply about quality, velocity, and impact. We operate with a strong sense of ownership, a bias toward action, and a commitment to raising the bar for what great product design looks like in an AI-first world.

About the Role:
We are seeking a Principal Design Engineer to play a key role in shaping the future of AlphaSense’s product experience. This is a senior individual contributor role, where you’ll lead through craft, systems thinking, and technical excellence, building AI-powered experiences that feel tailored, intelligent, and essential to our customers’ workflows.

You will operate at the intersection of design, engineering, and product strategy, translating complex, data-rich problems into high-quality, production-ready experiences. You won’t just prototype ideas; you’ll define how they are built, scaled, and experienced in the product.

As a senior member of the Design team, you’ll act as a multiplier—mentoring others, guiding technical and design decisions, and strengthening the connection between user needs, business goals, and engineering realities.

Why this role matters
At AlphaSense, design is a core driver of how we win. As we build an AI-native platform, the quality of our user experience will define how effectively customers can navigate complexity, build conviction, and make decisions.
In this role, you will help define that standard—through the systems you build, the experiences you ship, and the team you help elevate.

What You’ll Do

• Create high-fidelity, coded prototypes and interaction models that bring complex, AI-powered workflows to life and clearly communicate product direction.
• Own high-impact initiatives from concept through production, shipping experiences that reflect strong design thinking, technical rigor, and a deep understanding of customer workflows.
• Lead technical design discussions, make architectural decisions, and guide cross-team implementation efforts.
• Advance AlphaSense’s design system as a core piece of product infrastructure—defining scalable patterns, enabling consistency, and accelerating teams building across AI-native experiences.
• Collaborate closely with product managers, engineers, and other stakeholders to research and evaluate user requirements, translate them into effective designs, and ensure that the final product meets both user and business needs.
• Collaborate with engineering teams during development, advocating for design quality and user experience by championing design fidelity and attention to detail throughout the development lifecycle.

• Act as a senior leader within the Design team, mentoring designers and engineers, raising the bar for craft, and contributing to a strong, collaborative design culture.
• Serve as connective tissue across design, product, and engineering—helping teams navigate tradeoffs between technical constraints, business goals, and user experience to deliver high-quality outcomes.

Who You Are

• 12+ years of experience in product design, design/UX/front-end engineering, design systems, or a related discipline.
• A bachelor’s degree or higher. A degree in design, computer science, information sciences, psychology, or human-computer interaction is preferred.
• Hands-on experience with modern front-end technologies (e.g., HTML/CSS, JavaScript/TypeScript, React) and evolving design systems.
• Experience building AI and agentic experiences, and you are already leveraging AI to speed up and augment your end-to-end design and development process.
• Expertise with modern AI technologies and ability to apply them to design problems (e.g., MCP, Claude Code, Codex, Skills).
• Experience shipping production-ready experiences and influencing technical and design choices across teams.
• Strong understanding of user-centered design principles, end-to-end customer workflows, and the ability to turn new users into habitual users.
• Excellent communication and collaboration skills with both technical and non-technical stakeholders.
• Demonstrated experience in project leadership, mentorship, and providing constructive feedback to foster professional growth.

We're looking for an experienced Senior Product Manager to lead our Issuing platform — the suite of foundational capabilities that determine how cards get issued, how account hierarchies are structured, how credentials are tokenized for digital wallets, and how end-users are onboarded through KYC and KYB flows. This role sits at the heart of Lithic's value proposition, defining the primitives that everything else is built on.

You will own the product vision and execution for critical issuing infrastructure including card lifecycle management, virtual and physical card provisioning, network token orchestration (Apple Pay, Google Pay, Mastercard MDES, Visa VTS), flexible account hierarchy modeling for complex program structures, and compliant KYC/KYB onboarding flows. This person will focus on building the developer-facing APIs and internal tooling that enable customers to run sophisticated card programs while maintaining compliance and scalability.

What You'll Do

Own the Issuing Platform End-to-End

• Define and execute product vision for Lithic's core issuing infrastructure: physical and virtual card issuance and lifecycle, tokenization, account hierarchy, and KYC/KYB onboarding
• Build and evolve the APIs, webhooks, and developer tooling that serve as the primary interface for customers managing card programs

Lead Tokenization and Digital Wallet Strategy

• Drive Lithic's network token strategy across Visa VTS, Mastercard MDES, Apple Pay, and Google Pay
• Define how tokenization integrates with authorization flows, improving approval rates and reducing fraud exposure
• Partner with card networks and OEM wallet providers to stay ahead of evolving token lifecycle APIs and provisioning requirements

Build Flexible Account Hierarchy and Program Modeling

• Evolve Lithic's account hierarchy model to support diverse program structures — corporate hierarchies, spend controls by entity, multi-level card programs
• Enable customers to model complex issuing relationships: parent/child accounts, cost centers, team-level card programs, and cardholder-level controls
• Ensure the API surface is composable and expressive enough to handle both simple and sophisticated program architectures

Define KYC/KYB Onboarding as a Product

• Own the cardholder and business onboarding experience — from API-driven identity verification to manual review workflows
• Partner with Compliance and Risk to ensure onboarding flows meet BSA/AML, OFAC, and sponsor bank requirements without creating unnecessary friction
• Evaluate and manage third-party KYC/KYB vendor integrations, defining when to use Lithic-native decisioning vs. partner solutions
• Drive improvement in onboarding conversion rates while maintaining compliance standards

Champion the Developer and Operator

• Develop deep understanding of the needs of both technical integrators (developers building on the Lithic API) and program operators managing live card programs
• Conduct customer research, shadow onboarding calls, analyze API usage patterns, and review support escalations to inform design decisions
• Balance product simplicity for new integrations with the expressiveness required by sophisticated enterprise customers

What You Bring

Must Have

• 7+ years of product management experience: In fintech or financial services, with a strong track record of shipping operational tooling or B2B infrastructure products
• Issuing or payments infrastructure experience: Proven track record building card issuing, payment processing, or adjacent financial infrastructure products
• Technical fluency: Strong understanding of APIs, data flows, and system integration. Comfortable partnering with engineering teams on complex implementations involving rule engines, workflow automation, and third-party integrations
• Metrics-driven mindset: Track record of defining and improving issuing metrics like activation rates, tokenization success, onboarding conversion, and API uptime
• Cross-functional collaboration: Experience working effectively with operations, compliance, risk, and engineering teams in complex, matrixed organizations

Nice to Have

• Experience working for fintech or payment platforms
• Experience through education or work as an engineer
• Experience with Visa or Mastercard issuing rules, BIN sponsorship, and principal membership programs
• Working familiarity with network token lifecycle (provisioning, replenishment, suspension), digital wallet integrations, and how tokenization intersects with authorization
• Experience owning or contributing to identity verification flows, understanding compliance requirements, and working with vendors like Alloy, Persona, or Socure
• SQL proficiency or data analysis experience

Salary Range

The annual US salary range for this role is $148,000 - $190,000 plus equity. This salary range may be inclusive of several career levels at Lithic and will be narrowed during the interview process based on the candidate’s experience and qualifications.

Candidates must be located in the United States, Canada, Netherlands, Poland, or Czech Republic. We do not offer visa sponsorship or assistance.

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 Team

The Opportunity

The Biohub invites exceptional scientists to apply for a Group Leader (Principal Investigator-equivalent) position. We seek researchers who pursue fundamental questions in immunology, including—though not limited to—experts in systems immunology, immune engineering, and functional or molecular immunology, with a particular emphasis on cellular subtypes associated with immune regulation in cancer and/or neuroinflammation. Ideal candidates will aim to uncover the core principles and dynamic behaviors that govern immune system function in both health and disease. We especially welcome applicants who integrate quantitative, high-throughput, and systems approaches to address broad immunological questions and principles, rather than those focused primarily on tool or method development. The overarching mission is to reveal the fundamental principles governing the function and development of the human immune system, including via regulatory, signaling, and cell-cell molecular interaction network analysis. The goal will be to identify mechanisms that can help reprogram the immune system’s function to monitor organ specific health conditions, modulate cell trafficking, and restore normal immune function in human disease conditions.

The Biohub in New York fosters a vibrant environment where fundamental discovery and cross-disciplinary collaboration are encouraged. We particularly welcome scientists eager to collaborate across biology, computation, and engineering to generate transformative insights into immune biology. The successful candidate will join a highly collaborative environment of both intramural investigators at the Biohub network and extramural investigators at our partner institutes, Columbia University, Yale University and The Rockefeller University. The successful candidate will have access to world-class resources within the Biohub and across partner campuses. Candidates are expected to establish an independent, creative and innovative research program, as well as demonstrate a commitment to collaboration. The Biohub will offer a competitive package with full funding for research personnel, lab operational costs, and essential equipment.

Applicants must hold a Ph.D., M.D., or equivalent degree in immunology or a related field, and have a strong foundation in quantitative or mechanistic approaches to biological research. Applicants should have a record of at least five years of postdoctoral or equivalent research experience demonstrating creativity, independence, and impactful contributions in research aligned with the themes described above.

Applicants are required to provide a cover letter and a 3-page research statement.

What You'll Do

• Lead an innovative, rigorous, and highly collaborative research program aligned with the mission of Biohub, focused on advancing fundamental understanding of the immune system.
• Develop a transformative research vision and provide technical guidance and mentorship to team members.
• Play a key role in our collaborative efforts to engineer immune cells to detect, prevent, and cure organ-specific diseased states by leveraging your expertise in immunology.
• Engage with colleagues throughout the Biohub to uphold our values of scholarly excellence, innovation, open communication, collaboration, partnership, and opportunity.
• Communicate progress and results with colleagues and the leadership team.
• Publish and disseminate impactful findings and the products of your research as preprints (medRxiv, bioRxiv) and/or software repositories (e.g., GitHub).
• Collaborate with the Biohub team to patent and license technologies resulting from your research.

What You'll Bring

• PhD or MD or equivalent degree in immunology or a related field.
• A minimum of 5 years post-doctoral experience with a strong foundation in immunology.
• An innovative research plan aimed at revealing the fundamental principles that govern the immune system. 
• Demonstrated publication track record in top tier journals on topics related to the scientific goals of this position.
• Demonstrated leadership, track record of innovation, and ability to work collaboratively.
• Supervisory or mentoring experience is a plus but not required for early-career applicants, but expected for more senior candidates.
• Demonstrating a creative vision to establish a highly innovative and impactful research program.
• Outstanding interpersonal and communication skills.
• Demonstrated commitment to open science and highly aligned with the mission and values of Biohub.

Compensation

The New York City, NY base pay range for a new hire in this role is $153,000.00 - $185,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

This position may be eligible to participate in Biohub's discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with Biohub's total rewards philosophy and may vary by role.

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

Interviews will begin starting April 15th 2026 and will continue until the position has been filled.

#LI-Hybrid 

Hi, we're Oscar. We're hiring a Senior Security Engineer 1, GRC to join our Security Team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

The Principal GRC Engineer designs and operates the systems that enable continuous security assurance, deep risk visibility, and scalable regulatory compliance. Rather than managing documentation or preparing for audits, this role engineers the infrastructure that allows the organization to demonstrate security and compliance continuously through automation, telemetry, and self-evidencing controls.

Operating at the intersection of security engineering, platform engineering, risk management, and regulatory assurance, you will embed governance and control validation directly into how systems are built and operated. By connecting controls, operational telemetry, engineering workflows, and risk signals, you will surface patterns and relationships that traditional GRC programs cannot see, creating a feedback loop where security intelligence continuously informs engineering guardrails and platform architecture.

You will report into the Sr. Manager GRC.

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. 

Pay Transparency: The base pay for this role is: $163,944 per year - $215,176 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.

Responsibilities:

• Design systems that continuously measure and validate security controls through operational telemetry, automated evidence generation, and control health monitoring.
• Build automation and orchestration across security tools, cloud platforms, and engineering systems to eliminate manual compliance processes and reduce audit overhead.
• Translate governance expectations into machine-enforceable guardrails embedded within infrastructure platforms, CI/CD pipelines, and engineering workflows.
• Apply automation, orchestration, and AI-assisted capabilities to scale governance workflows, enabling intelligent analysis and adaptive control systems.
• Architect control and telemetry pipelines where operational systems produce the evidence required for regulatory assurance and audit readiness.
• Compliance with all applicable laws and regulations 
• Other duties as assigned 

Requirements:

• 4+ years experience in Technology related field. 
• 4+ years experience in Security Engineering.

Bonus points:

• Familiarity with industry standards and compliance frameworks (such as SOC, SOX., NIST, HIPAA) and experience in ensuring organizational adherence to these standards.
• Certifications such as CISSP, CISM, CISA, CEH, or vendor-specific certifications.
• Proficiency in managing security projects, including planning, execution, and successful delivery within timelines and budgets.
• 4+ years of experience in Security Engineering, DevSecOps, or Site Reliability Engineering (SRE), with at least 3 years specifically focused on GRC automation or internal security tooling.

Lantern is looking for a Principal Engineer to join our fast-growing Member Experience team. In this role, you will lead the technical direction and ownership of our core member-facing platforms, including our web application, mobile app, and AI-driven chat features. You will be instrumental in architecting scalable solutions that enhance how our members interact with Lantern's services.

Location: Hybrid - at least 3 days/wk in one of our offices:  Dallas, TX (preferred) / Chicago/Evanston / New York / Washington, DC

Current Tech Stack:

Web Platform: Angular and TypeScript, with an emphasis on scalable front-end architecture, reusable components, and strong member experience.
Mobile Platform: React Native for member-facing mobile experiences.
Backend and APIs: .NET / C# services that power core member workflows and integrations.
Styling and UI: Tailwind CSS and NativeWind for consistent, modern interface development.
Cloud Infrastructure: Microsoft Azure for cloud services, hosting, integration, and operational support.

Responsibilities:

• Platform Ownership: Lead the development and end-to-end ownership of member-facing web, mobile, and AI chatbot experiences.
• Architectural Leadership: Define and maintain technical standards for front-end architecture, shared patterns, performance, accessibility, and long-term maintainability.
• Cross-Platform Integration: Drive a pragmatic strategy for reusable business logic, design consistency, and seamless experiences across web and mobile platforms where it adds value.
• Backend and Cloud Collaboration: Partner closely with engineers working in .NET / C# and Microsoft Azure to deliver secure, reliable, observable, and scalable solutions.
• AI and Member Experience: Help shape AI-enabled chat and support capabilities that improve navigation, engagement, and service for Lantern members.
• Mentorship: Act as a technical pillar for the engineering organization by mentoring engineers, leading design reviews, and guiding complex implementation decisions.

Requirements:

• Work Experience: Extensive years of professional software engineering experience, preferably with at least 2+ years operating at a Staff, Principal, or equivalent technical leadership level in product-focused environments.
• Front-End Expertise: Deep expertise in TypeScript, React, and modern front-end architecture, with the ability to operate effectively in environments that also include Angular.
• Mobile Expertise: Proven experience building and supporting production-grade applications using React Native.
• Backend and Cloud Fluency: Strong experience partnering with backend teams working in .NET / C# or Node.js and building solutions that run on Microsoft Azure.
• Design Systems and UI: Hands-on familiarity with Tailwind CSS and/or NativeWind, reusable component patterns, and high-quality user experience implementation.
• Preferred Skills: Experience building or integrating AI / LLM-powered product features such as chat, guided workflows, copilots, or search-driven experiences.
• Domain and Collaboration: Excellent communication skills and the ability to influence across engineering, product, design, and business stakeholders.
• Education: Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.

Strong Candidates Will:

• Be Product-Minded: Understand the member and business impact behind technical decisions, not just the implementation details.
• Balance Strategy and Execution: Move comfortably between architecture, hands-on problem solving, and delivery support.
• Create Clarity: Bring structure to ambiguous problems, align stakeholders, and move important work forward with sound judgment.
• Lead with Ownership: Raise the bar for quality, collaboration, and engineering excellence across the team.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Short & Long Term Disability
• Life Insurance
• 401k with company match
• Paid Time Off
• Paid Parental Leave

Why we're hiring:

As a Senior Talent Acquisition Delivery Partner, Product Engineering, you will be a pivotal member of this elite team, taking on complex and critical engineering leadership searches. You will not only be instrumental in sourcing, attracting, and hiring top‑tier product engineers but will also play a significant role in establishing best practices, mentoring junior team members, and directly influencing our overall talent strategy and employer brand for engineers. This role offers a unique opportunity to help architect recruitment processes and culture from the ground up.

This is an advanced end‑to‑end recruitment role where you will operate as a specialist to the Product Engineering business. You will be responsible for the full lifecycle of talent acquisition, focusing on niche product engineering roles, from strategic sourcing and candidate engagement through to offer negotiation and onboarding preparation.

Beyond direct recruitment, you will significantly contribute to and help influence the overall talent strategy for WPP Data, Tech Solutions, identifying market trends and shaping our approach to attracting world‑class engineering talent

What you'll be doing:

Strategic Partnership & Influence:
Proactively collaborate with Product Engineering hiring managers and senior leaders to deeply understand their technical roadmaps, strategic objectives, and long‑term talent needs. Act as a trusted TA SME, providing proactive market insights, competitive intelligence, and help TA leadership in the strategic recommendations on talent acquisition strategies.

Full‑Cycle Recruitment for Critical Roles:
Delivery of the entire recruitment process for highly specialised, senior, and level Product Engineering roles (e.g., Principal Engineers, Architects, Engineering Managers, Staff Engineers, Senior DevOps/SRE, Data Science Leads, Technical Product Leaders), from initial brief to successful hire.

Advanced Sourcing & Talent Mapping:
Develop and execute sophisticated, multi‑channel sourcing strategies, including proactive talent mapping, to identify and engage highly passive and in‑demand technical candidates. Leverage platforms such as LinkedIn Recruiter, GitHub, Stack Overflow, niche tech communities, industry events, executive search networks, and other creative channels, often mentoring others on best practice.

Exceptional Candidate Experience:
Deliver a best‑in‑class, high‑touch candidate experience for technical talent, acting as a premier brand ambassador for WPP. Ensure clear, empathetic, and professional communication at every stage, setting the standard for the team.

Market Intelligence & Employer Branding Leadership:
Proactively gather and synthesise actionable market intelligence on talent availability, compensation benchmarks, and competitor activity to inform and shape hiring strategies. Take a leading role in developing and promoting the WPP Data, Tech Solutions employer brand within the product engineering community through strategic content, events, and partnerships.

What you'll need:

• Proven Experience (8+ years): Significant hands-on experience in full-cycle Talent Acquisition, with a dedicated focus on recruiting Product Engineering talent in fast-paced, high-growth, and complex enterprise or agency-like environments.
• Domain Expertise: Understanding of modern software development methodologies (Agile, Scrum, Kanban) and the product development lifecycle.
• Technical Acumen: Ability to speak confidently about and understand various programming languages (e.g., Python, JavaScript, TypeScript, NodeJS, .Net), cloud platforms (AWS, Azure, GCP), microservices architectures, data technologies, DevOps tools, and similar development frameworks. You don't need to be an engineer, but you must "get" engineering.
• Complex Environment Experience: Demonstrated ability to navigate and succeed within large, matrixed organizations, managing multiple stakeholders and competing priorities. Experience within a global or multi-brand environment is highly advantageous.
• "Builder" Mindset: A proactive, self-starter attitude with experience contributing to the setup or scaling of recruitment functions, processes, or teams from scratch. Comfort with ambiguity and a desire to shape the future.
• Strategic Sourcing Mastery: Expert-level proficiency in direct sourcing techniques and tools, with a track record of identifying and engaging passive, in-demand technical talent.
• AI & Technology‑Led Recruitment Mindset:Experience applying AI‑enabled sourcing approaches and recruitment technologies to improve efficiency, quality of hire, and candidate engagement, with a clear understanding of where automation adds value and where human judgement remains critical.
• Stakeholder Management: Exceptional interpersonal and communication skills, with the ability to build strong, credible relationships with hiring managers, leadership, and candidates at all levels.
• Data & Metrics Orientation: Proficient in using Applicant Tracking Systems (ATS - e.g., Greenhouse, Workday) and recruitment analytics to drive insights and improve performance.
• Influence & Negotiation: Strong persuasion, negotiation, and closing skills.
• D&I Advocate: A genuine commitment to fostering an inclusive hiring process and

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid #LI-DNP

The Role

As a Principal Security Engineer, you will partner closely with engineering teams to design and implement secure development practices, integrate security into our CI/CD pipeline, and lead security and design reviews.

You’ll bring deep expertise in DevSecOps, application security, hands-on experience securing web applications and APIs, and a strong understanding of modern development workflows. This is a unique opportunity to shape the future of our security program while working in a high-ownership, high-impact environment.

What you will do

• Architect and integrate security tooling directly into CI/CD pipelines to automate the detection and prevention of vulnerabilities, ensuring "shift-left" security at scale.
• Lead threat modeling and secure design reviews for web applications, APIs, and cloud services.
• Oversee the end-to-end product vulnerability lifecycle, from issue triage, prioritization, remediation support, with clear risk communication.
• Drive secure coding standards, develop playbooks, and provide hand-on training and mentorship to instill a security-first mindset across the organization.
• Design and scale secure development practices by collaborating cross-functionally with engineering teams throughout the entire software lifecycle.
• Engage with customers during security reviews

What you bring to the table

• 10+ years in security, with a focus on DevSecOps and security design reviews
• Hands-on experience with secure coding, OWASP Top 10, threat modeling, and SDLC integration
• Experience with GitHub/GitLab, CI/CD, IaC, and containerized environments
• Experience deploying and working with SAST tooling (e.g. Semgrep, Snyk)
• Experience developing in Python and Go.
• Track record of balancing pragmatism and security rigor in a fast-paced setting
• Strong communication skills

Nice to Have Skills

• Understanding of AI security fundamentals and how application security and AI security intersect
• Experience securing cloud infrastructure
• Participation in bug bounty programs and managing security disclosure
• Familiarity with the BSIMM framework
• Experience in cloud security including identity and access management and cloud-native services.

What we offer

Build what actually matters

Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long-term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our New York office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.

UK Benefits:

Equity options; 10% pension employer contribution; 25 days holiday plus public holidays; private health insurance; enhanced parental leave; free lunch onsite

US Benefits:

🚀 Equity options - share meaningfully in the company you’re helping to build.

💰 5% contribution to 401(k) - build long-term security with a strong retirement plan.

🍽️ Free team lunch 1x/week - good food, great company, and space to connect.

🏥 Private health insurance – comprehensive cover for you, offering total peace of mind.

👶 Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

☀️ 20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

📈 Personal development – dedicated support for learning, development, and leveling up over time.

💪 Gympass / Wellhub (subsidized) – for you and up to 3 family members, supporting both physical and mental wellbeing.

💳 Flexible Spending Account (FSA) – set aside pre-tax dollars for eligible healthcare expenses.

🔎 Watch this space, we’re continuing to build this as we grow…

Salary for this position in the USA is from $200,000 to $300,000

The Role

Akoya is seeking a Principal Software Engineer (Frontend) to lead the next generation of our user experiences and frontend architecture. This role is ideal for an experienced engineer who brings a high bar for design quality, a deep mastery of modern JavaScript and React, and the ability to drive technical strategy across complex products. You combine impeccable attention to detail with strong communication skills and a passion for building elegant, scalable, and intuitive user interfaces that directly empower our customers.

As a Principal Engineer, you will:

• Lead the design and implementation of Akoya’s core frontend architecture, setting standards for code quality, performance, accessibility, and maintainability.
• Drive the evolution and modernization of existing frontend systems, ensuring legacy components remain reliable while guiding their transition toward more scalable, performant, and maintainable patterns.
• Write clean, well-structured, and well-documented code in React, TypeScript/JavaScript, and modern frontend tooling.
• Partner closely with product managers, designers, and backend teams to define requirements, shape features, and deliver polished, high-quality user experiences.
• Debug and resolve complex production issues across the frontend stack, delivering reliable and resilient interfaces.
• Elevate the engineering organization via mentorship, architectural guidance, and code review, enabling teams to deliver at a high level.
• Champion frontend best practices—including performance optimization, component system design, and UX consistency—across the organization.

Qualifications

Not all applicants will have skills that match a job description exactly. Akoya values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or has not followed a traditional path, do not let that stop you from considering Akoya. We are always looking for people who will bring something new to the table!

Required Experience/skills

• 10+ years of professional frontend engineering experience, building and maintaining production web applications at scale.
• Expert-level proficiency in React and modern JavaScript/TypeScript, including state management patterns, hooks, component architecture, and performance tuning.
• Demonstrated experience designing large-scale, modular frontend systems (design systems, component libraries, multi-app architectures, microfrontends, etc.).
• Strong understanding of HTML5, CSS3, responsive design, accessibility standards (WCAG), and web performance best practices.
• Proven ability to lead technical projects autonomously, drive architectural decisions, and communicate complex concepts clearly.
• A strong sense of customer empathy and a track record of delivering intuitive, high-quality user experiences.
• Experience collaborating deeply with product, design, and backend teams to define and deliver cross-functional initiatives.

Preferred Experience/skills

• Experience with frontend build and performance tooling (Webpack, Vite, Babel).
• Background working with design systems or UI component libraries (e.g., Material UI), and partnering with design teams on UX strategy.
• Experience with testing frameworks (Jest, Testing Library, Cypress, Playwright).
• Familiarity with cloud-based environments, CI/CD pipelines, and production observability tools.
• Understanding of backend API design and integration patterns (REST, GraphQL).
• Experience operating within AWS or similar cloud environments.
• Experience with state management in React, such as React Context, custom hooks, or Redux/Redux Toolkit.

Akoya is an equal-opportunity employer.

This remote position is only available to individuals living in the greater Boston, MA, New York City, NY and Raleigh, NC areas. Candidates who do not live within these areas will not be considered for this role.

About the Role

The Data & Analytics team is dedicated to building innovative data products that provide actionable insights, empowering our partners to succeed. We focus on curating and maintaining key data sources and statistics that serve both internal and external stakeholders.

What You'll Do

Advanced Engineering & Coding

• End-to-End Ownership: Own the full lifecycle of data products, from initial conceptualization and architecture through to production deployment, optimization, and maintenance.
• Core Development: Design and code complex dbt models and data transformation logic for high-volume financial datasets (e.g., trade transactions, stock ledgers, and clearing/settlement records).
• Python Automation: Write production-grade Python scripts for advanced data processing, anomaly detection, and custom orchestration logic that SQL cannot handle alone.
• Performance Engineering: Take ownership of the "hardest problems" regarding query performance. Refactor legacy code and optimize incremental loading strategies to reduce costs and latency at scale.

Technical Architecture & Standards

• CI/CD & DevOps: Own the technical implementation of our data deployment reporting pipelines (Git, dbt Cloud), ensuring robust version control and seamless integration.
• Data Quality as Code: Engineer automated testing frameworks and validation suites (using dbt tests/Python) to ensure data integrity for critical business layers.

Leadership & Cross-Functional Impact

• Technical Project Leadership: Act as the hands-on lead for major initiatives. Scope, design, and manage complex data projects while remaining active in the codebase to ensure high-quality delivery.
• Cross-Functional Partnership: Partner directly with stakeholders across Product, Finance, Operations, Risk, and Trading to translate domain-specific requirements into robust data products and reporting solutions.
• Mentorship & Guidance: Act as the "go-to" technical resource for the team. Conduct thorough code reviews and help senior and junior engineers solve blockers through pair programming and architectural guidance.

What You’ll Need

• 8+ years of professional experience in analytics engineering or data engineering, with a proven track record of building and scaling analytical data ecosystems.
• Expert proficiency in SQL, with experience optimizing complex queries and data models at scale.
• Advanced proficiency in Python for data manipulation (Pandas/Polars/Spark) and interaction with APIs/AWS services.
• Experience using Databricks for analytics workloads, including building and optimizing data models using Databricks SQL and dbt.
• Experience with dbt materializations, macros, and package management.
• Experience architecting data models for FinTech and Capital Markets, including trade lifecycles, clearing/settlement, risk models, and financial reporting.
• AI-Assisted Engineering: Proficiency in leveraging AI tools (e.g., GitHub Copilot,or similar LLMs) to accelerate code delivery, automate documentation, and optimize engineering workflows.
• Proven ability to build data solutions that are reusable and modular, rather than one-off scripts.
• Experience treating data as software by implementing unit testing, CI/CD, comprehensive documentation, and SLA monitoring.
• Ability to independently diagnose and resolve complex errors or issues within distributed systems (Spark/Databricks).
• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field.

Special Knowledge (Nice to Have, But Not Required)

• Experience implementing Airflow or similar orchestrators.
• Experience with Sigma Computing (from a data modeling perspective).
• Experience building Data Apps within Databricks.
• Experience using AI/LLM tools to enable faster, smarter analytics workflows.

Work Authorization Requirement:

Applicants must be legally authorized to work in the United States on a full-time basis without the need for current or future employer sponsorship.  The company does not offer visa sponsorship, transfers, or immigration support for this role.

The Opportunity

We are looking for a Key Account Director to lead growth within a set of Postman’s most important enterprise accounts. This role is part of a new strategic go-to-market motion designed to deepen our engagement with large enterprises, expand our footprint, and deliver the full value of the Postman platform.

You will be paired with a pod that includes a Principal Solutions Engineer and a Field CTO, forming a high-caliber account team focused on building long-term, value-based relationships. Together, you’ll engage senior technology leaders, uncover complex challenges, and drive adoption of Postman’s enterprise and platform solutions at scale.

This is not a traditional “low-hanging fruit” sales role—this is about strategic account expansion, multi-threaded enterprise engagement, and solution selling.

Location: We require sellers to in the office on the days they are not visiting customers. The Boston office is located at Two International Place, 90 Oliver Street, 5th Floor, Suite #510, Boston, MA 02110.

What You’ll Do

• Own and grow a portfolio of strategic enterprise accounts (e.g., Fortune 500, cloud-first companies, large-scale developer organizations).
• Deeply engage with senior buyers—CIOs, CTOs, VPs of Engineering, Platform, Security, and Collaboration—to position Postman as a critical platform solution.
• Drive multi-threaded sales campaigns that expand existing usage and convert massive developer adoption (tens of thousands of users) into enterprise-wide value.
• Lead complex solution sales cycles across collaboration, security, API governance, and emerging AI-enabled workflows.
• Identify customer pain points and design tailored value propositions that demonstrate ROI and impact at scale.
• Orchestrate cross-functional engagement with Customer Success, Product, and Marketing to maximize customer outcomes.
• Track, forecast, and report on account progress, pipeline health, and business results.
• Be a thought partner to your accounts, staying ahead of industry trends like agentic AI, workflow automation, and cloud-native development.
• Partner with relevant stakeholders to drive account strategy and expansion.

About You

• 10–15 years of enterprise sales experience, with a proven track record in strategic account management and expansion.
• Experience selling technical and platform products (developer tools, SaaS platforms, cloud infrastructure, or security solutions).
• Demonstrated success in solution selling—engaging with senior technology leaders and driving multi-million dollar expansion deals.
• History of working long cycles and successfully growing accounts over time.
• Ability to navigate large, complex organizations with thousands of users and multiple stakeholders.
• Collaborative mindset with experience working closely with technical teams (solutions engineers, architects, CTOs).
• Deep understanding of enterprise buyer personas (security, collaboration, platform, developer productivity).
• Curiosity and fluency in emerging technologies, particularly AI/agentic AI, and how they can automate workflows and deliver customer value.
• Strong executive presence, relationship-building skills, and the ability to influence at the C-suite level.

Why Join Us

• Be part of an innovative sales model at one of the fastest-growing developer platforms in the world.
• Partner with world-class colleagues in a pod structure designed to maximize customer impact.
• Work with some of the largest and most innovative technology companies on the planet.
• Play a key role in shaping how Postman goes deeper into enterprise accounts and accelerates platform adoption.

The reasonably estimated OTE for this role is $320,000- $420,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

The Opportunity

We are looking for a Strategic Account Director to lead growth within a set of Postman’s most important enterprise accounts. This role is part of a new strategic go-to-market motion designed to deepen our engagement with large enterprises, expand our footprint, and deliver the full value of the Postman platform.

You will be paired with a pod that includes a Principal Solutions Engineer and a Field CTO, forming a high-caliber account team focused on building long-term, value-based relationships. Together, you’ll engage senior technology leaders, uncover complex challenges, and drive adoption of Postman’s enterprise and platform solutions at scale.

This is not a traditional “low-hanging fruit” sales role—this is about strategic account expansion, multi-threaded enterprise engagement, and solution selling.

Location: We require sellers to in the office (located in the Empire State Building) on the days they are not visiting customers.

What You’ll Do

• Own and grow a portfolio of strategic enterprise accounts (e.g., Fortune 500, cloud-first companies, large-scale developer organizations).
• Deeply engage with senior buyers—CIOs, CTOs, VPs of Engineering, Platform, Security, and Collaboration—to position Postman as a critical platform solution.
• Drive multi-threaded sales campaigns that expand existing usage and convert massive developer adoption (tens of thousands of users) into enterprise-wide value.
• Lead complex solution sales cycles across collaboration, security, API governance, and emerging AI-enabled workflows.
• Identify customer pain points and design tailored value propositions that demonstrate ROI and impact at scale.
• Orchestrate cross-functional engagement with Customer Success, Product, and Marketing to maximize customer outcomes.
• Track, forecast, and report on account progress, pipeline health, and business results.
• Be a thought partner to your accounts, staying ahead of industry trends like agentic AI, workflow automation, and cloud-native development.
• Partner with relevant stakeholders to drive account strategy and expansion.

About You

• 10–15 years of enterprise sales experience, with a proven track record in strategic account management and expansion.
• Experience selling technical and platform products (developer tools, SaaS platforms, cloud infrastructure, or security solutions).
• Demonstrated success in solution selling—engaging with senior technology leaders and driving multi-million dollar expansion deals.
• History of working long cycles and successfully growing accounts over time.
• Ability to navigate large, complex organizations with thousands of users and multiple stakeholders.
• Collaborative mindset with experience working closely with technical teams (solutions engineers, architects, CTOs).
• Deep understanding of enterprise buyer personas (security, collaboration, platform, developer productivity).
• Curiosity and fluency in emerging technologies, particularly AI/agentic AI, and how they can automate workflows and deliver customer value.
• Strong executive presence, relationship-building skills, and the ability to influence at the C-suite level.

Why Join Us

• Be part of an innovative sales model at one of the fastest-growing developer platforms in the world.
• Partner with world-class colleagues in a pod structure designed to maximize customer impact.
• Work with some of the largest and most innovative technology companies on the planet.
• Play a key role in shaping how Postman goes deeper into enterprise accounts and accelerates platform adoption.

The reasonably estimated OTE for this role is $320,000- $420,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

About The Role

As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won’t just build and deploy — you’ll drive the strategy, architecture, and execution of end-to-end systems, working directly with client.

This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate.

**Please note - We are always looking to connect with talented individuals for this role. This posting is part of our ongoing effort to build a strong pipeline of candidates and may not correspond to an immediate opening. Candidates who move forward in the process may be considered for current and future opportunities as they arise.

What You’ll Do

• Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
• Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
• Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
• Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
• Build shared infrastructure, reusable components, and internal playbooks to level-up the team
• Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible

What We Need

• 10+ years of software engineering experience, including significant time spent building data, ML, or backend systems
• Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
• Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
• Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
• Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
• Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
• Experience building usable systems from messy data and ambiguous requirements
• Excellent communication and client-facing skills; you’ve led conversations with technical and non-technical stakeholders alike
• Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
• Be willing to be on-call for our customers when situations arise
• Ability to travel roughly 25–50% of the time, sometimes short-notice trips—primarily across North America with occasional international roll-outs—to work directly on-site with clients
• Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience

What’s In It For You

Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.

For this position, the annual salary ranges by location are:

• Tier 1:  $250,000 - $366,000
• Tier 2:  $227,000 - $333,000

P-1125

Summary

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.

Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has  a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. 

The impact you will have:

• Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services
• Attract top talent from across the industry.
• Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven
• Represent Databricks at academic and industry conferences & events

What we look for:

• 9+ years of experience in Data Security or related areas  and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus.
• 15+ years of experience building large scale distributed systems with high availability
• Leadership skills and experience to lead across functional and organizational lines
• Strong communication skills to explain and evangelize Data Security to senior leaders across the company
• Bias to action and passion for delivering high-quality solutions
• MS or Ph.D. in Computer Science or related fields

About the Role

We're looking for a Staff Software Engineer to set technical direction at the intersection of engineering and research on the Claude Code team. In this role, you'll partner directly with Anthropic's researchers and engineering leadership to shape how we measure, understand, and improve Claude's coding capabilities. You'll architect the systems, tooling, and evaluation infrastructure that determine how quickly our research can move—and you'll be accountable for the technical decisions that ripple across the team and beyond. This is a senior individual contributor role for someone who has already built and owned systems at significant scale, and who is ready to operate as a technical leader: driving architecture, mentoring engineers, and influencing the direction of Claude Code itself.

Responsibilities

• Set technical direction for evaluation systems, research infrastructure, and internal tooling across the Claude Code team

• Architect eval frameworks that measure model capabilities across diverse coding tasks and scale with our research roadmap

• Lead the design of infrastructure that enables researchers to run experiments at scale, and make the foundational tradeoffs that shape how the team operates for years

• Identify the highest-leverage engineering investments—often before anyone has asked for them—and drive them to completion

• Serve as a senior technical bridge between product and research, using strong product intuition to influence which capabilities we prioritize and how we measure progress against them

• Mentor and raise the bar for other engineers on the team; review designs, unblock peers, and model the engineering standards we want to scale

• Partner with research leads to translate ambiguous research questions into durable engineering solutions

• Own critical systems end-to-end, from architecture through production reliability, and take responsibility for their long-term health

You may be a good fit if you:

• Have 10+ years of software engineering experience, with a track record of operating as a Staff or Principal engineer (or equivalent) at a high-caliber organization

• Have architected and owned complex, high-stakes systems—pipelines, infrastructure, or platforms that orchestrate many components, handle significant state and logic, and serve multiple teams

• Have a history of setting technical direction that others follow—through design docs, architectural decisions, or technical strategy that shaped how a team or org operates

• Thrive in high-intensity environments with fast iteration cycles, and have the judgment to know when to move fast and when to invest in durability

• Take full ownership of ambiguous, open-ended problems and drive them to completion with minimal direction

• Are a power user of agentic coding tools with deep intuition about model capabilities and limitations

• Can dive into unfamiliar technical domains—ML systems, research workflows, novel infrastructure—and get to the frontier quickly

• Care deeply about correctness and reliability, and have raised engineering standards on teams you've been part of

• Are energized by working at the boundary between engineering and AI research, and by the prospect of influencing both

Strong candidates may also have experience with:

• Designing or scaling eval/evaluation frameworks for ML systems

• Reinforcement learning infrastructure or training systems

• Leading technical initiatives in high-performance, demanding environments—trading firms, quant funds, frontier research labs, or fast-moving startups where intensity and technical excellence are the norm

• Research computing, scientific infrastructure, or developer platforms at scale

• A strong quantitative foundation (math, physics, or related fields) 

• Expertise in Python and TypeScript

At Rockstar Games, we create world-class entertainment experiences.

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar is looking for a passionate Principal Data Engineer, Data Architecture to provide cross-team oversight and alignment as we continue to scale our data platform.

The ideal candidate will be skilled in bridging between data engineering and other partner teams, guiding the design and implementation of data pipelines and streaming systems while reinforcing best practices and engineering standards. The Principal Data Engineer, Data Architecture will partner closely with platform, data science, and other services teams to strength our engineering culture and ensure our data solutions are consistent, reliable and future-ready.

This is a full-time, in-office position based out of Rockstar's newly renovated game development studio in Andover, MA.

WHAT WE DO

• The Rockstar Data Engineering team provides insights and actionable results to a wide variety of teams across the organization in support of their decision making.
• We work with petabyte-scale data in Azure and Databricks, building both real-time and batch pipelines that power analytics, machine learning, and player experience improvements.

RESPONSIBILITIES

• Architect and guide the implementation of real-time streaming and batch data pipelines in data platform. Assure platform architecture aligns with strategic business goals.
• Act as a bridge between data engineering teams and the larger data organization, aligning technical solutions with strategic platform goals.  Partner with platform engineers, data scientists, and analytics teams to enable reliable, high-quality data for downstream use cases.
• Review and validate data engineering solutions designed by team members and partner teams to ensure scalability, reliability, cost efficiency, and compliance with enterprise standards.
• Define and maintain best practices for data engineering across pipelines, streaming systems, and orchestration.
• Evaluate emerging technologies, patterns, and frameworks in data engineering, proposing adoption where they bring measurable value.

REQUIREMENTS

• 10+ years in software engineering, including 3+ years in an architect or principal-level role in data adjacent domain.
• Ability to balance practical delivery with long-term architectural vision.
• Excellent communication and influence skills, able to provide constructive feedback and drive alignment across teams without direct authority.
• Strong software engineering background in data platforms or data platform adjacent applications.
• Experience mentoring and guiding engineers, with a focus on code quality, testing, and best practices.
• Proven track record designing real-time and batch data pipelines at enterprise scale.
• Strong understanding of distributed data systems, data modeling, and data governance.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience with Databricks and Azure. 
• Strong understanding of Data Governance, Data Privacy, and role-based access control. 
• Experience working in the video game industry. 
• Avid gamer with a passion for Rockstar Games titles.

ADDITIONAL INFORMATION

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.                             

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

At Rockstar Games, we create world-class entertainment experiences.

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar is looking for a passionate Principal Data Engineer, Data Architecture to provide cross-team oversight and alignment as we continue to scale our data platform.

The ideal candidate will be skilled in bridging between data engineering and other partner teams, guiding the design and implementation of data pipelines and streaming systems while reinforcing best practices and engineering standards. The Principal Data Engineer, Data Architecture will partner closely with platform, data science, and other services teams to strength our engineering culture and ensure our data solutions are consistent, reliable and future-ready.

This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan.

WHAT WE DO

• The Rockstar Data Engineering team provides insights and actionable results to a wide variety of teams across the organization in support of their decision making.
• We work with petabyte-scale data in Azure and Databricks, building both real-time and batch pipelines that power analytics, machine learning, and player experience improvements.

RESPONSIBILITIES

• Architect and guide the implementation of real-time streaming and batch data pipelines in data platform. Assure platform architecture aligns with strategic business goals.
• Act as a bridge between data engineering teams and the larger data organization, aligning technical solutions with strategic platform goals.  Partner with platform engineers, data scientists, and analytics teams to enable reliable, high-quality data for downstream use cases.
• Review and validate data engineering solutions designed by team members and partner teams to ensure scalability, reliability, cost efficiency, and compliance with enterprise standards.
• Define and maintain best practices for data engineering across pipelines, streaming systems, and orchestration.
• Evaluate emerging technologies, patterns, and frameworks in data engineering, proposing adoption where they bring measurable value.

REQUIREMENTS

• 10+ years in software engineering, including 3+ years in an architect or principal-level role in data adjacent domain.
• Ability to balance practical delivery with long-term architectural vision.
• Excellent communication and influence skills, able to provide constructive feedback and drive alignment across teams without direct authority.
• Strong software engineering background in data platforms or data platform adjacent applications.
• Experience mentoring and guiding engineers, with a focus on code quality, testing, and best practices.
• Proven track record designing real-time and batch data pipelines at enterprise scale.
• Strong understanding of distributed data systems, data modeling, and data governance.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience with Databricks and Azure. 
• Strong understanding of Data Governance, Data Privacy, and role-based access control. 
• Experience working in the video game industry. 
• Avid gamer with a passion for Rockstar Games titles.

ADDITIONAL INFORMATION

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.                             

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

At Rockstar Games, we create world-class entertainment experiences. 

Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry.

Rockstar is on the lookout for a passionate Associate Principal Linux Systems Engineer who is skilled at building and supporting Linux environments that are highly redundant and scalable.

This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan. 

WHAT WE DO

• 24x7 Linux operations of our online games, features, and services.
• Hands-on support to the operations of online and development environments.
• Build and plan infrastructure for upcoming releases.

RESPONSIBILITIES

• Hands-on maintenance and administration of Linux based systems.
• Perform patching and support server migrations as needed.
• Develop standard operating procedures to ensure high availability.
• Perform routine system maintenance when needed to resolve issues.
• Support root cause analysis efforts across multiple infrastructure layers.
• Ensure a highly available production environment particularly during system maintenances.
• Administer monitoring services such as Check_MK, Splunk, Grafana and Graphite.
• Provide timely and creative solutions to difficult problems.

REQUIREMENTS

• Bachelor’s Degree in Computer Science or related field, IT certifications, or equivalent experience.
• 10+ years’ experience in a Linux environment using related technologies and standards such as DHCP, DNS, LDAP, Kerberos, CIFS/SMB.
• In-depth hands-on experience with RHEL or CentOS as well as configuration management experience with either Chef, Puppet or Ansible.
• Experience administering systems in a high traffic, multi-system, public facing environment.
• Experience configuring and maintaining Apache servers.
• Experience administering one of the following: Elasticsearch, Cassandra, Mongo, Hadoop (Hive, HDFS, Impala, Oozie), MySQL or PostgreSQL.
• Possess a thorough understanding of network protocols and standards such as TCP/IP, UDP, HTTP/S and SSL/PKI.
• Experience working with major CDN providers.
• Experience scripting in one of the following languages: Bash, Python, PHP, or Perl.
• Experience with REST API automation.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience supporting online game development and production environments.
• General Cisco IOS administration experience for adding removing VLANS and LACP bonds.
• Knowledge of PowerShell.

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.

Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.

#LI-BW1