FEQ327R76

Solutions Engineer

At Databricks, our core values drive everything we do; a culture of proactiveness and a customer-first mindset fuels our mission to create a unified platform that makes data science and analytics accessible to all. This role is part of our programmatic effort to develop promising field engineers—offering a launchpad for the next generation of data leaders. We aim to build leaders who will empower our customers to make informed decisions that propel their businesses forward. With our Data Intelligence Platform, we make it easy to turn insights into action while encouraging creativity, experimentation, and continuous improvement. You’ll play a key role in this mission, building upon your emerging technical skills in the area of solutions engineering, learn how to apply them in the Databricks platform and show customers how to tackle real-world data challenges.  Not just telling them what's possible, but building working prototypes and demos that prove it. You’ll join a collaborative, customer-obsessed team that thrives on innovation to help customers reach their goals. Come help us change how the world works with data—and shape your future while you're at it!

This will be an in-office role and candidates must be based in our New York City (Midtown location) office. Relocation assistance will not be provided.

Recent graduate?: We’d love for you to explore our current internship openings on our careers page and submit your application for our roles designed for new college graduates.

The impact you will have:

• Form successful relationships with customers throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple areas of architecture, design, and implementation to lead to the successful adoption of the Databricks Lakehouse platform.
• Adopt a builder-first approach: move quickly from customer problem to working prototype by writing code, building demos, and creating reusable assets that accelerate customer outcomes. Use AI tools to increase your productivity and drive innovation.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• The ideal candidate has 2+ years of technical experience in a customer-facing solutions engineering role.
• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent experience through work experience
• Demonstrates a builder mindset: preference for hands-on prototyping and learning-by-doing, with comfort using AI-assisted development tools to move faster
• Hands-on experience with Python, Java, or Scala, and proficiency in SQLExperience with Big Data technologies (Ex: Spark, Hadoop, Kafka) and architectures is a plus
• Aptitude to interact with customers confidently and professionally
• Can meet expectations for technical training and role-specific outcomes within 6 months of hire

More About Databricks

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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

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

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.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto and remote locations.

What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and support exactly-once processing as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success.

What you'll do

You'll help define and deliver the next generation of Stripe's Flink-first stream compute infrastructure—driving innovation to meet extremely high availability targets at global scale. Partnering with infrastructure engineers, adjacent platform teams, and the product orgs that depend on Flink every day, you'll set a long-term technical direction that scales with Stripe's growth while enabling reliable, efficient operations for years to come. You'll work on the hardest problems in operating Flink in production—state management, exactly-once processing, performance isolation, and automated recovery—so teams across Stripe can confidently build stateful stream processing applications on top of it.

Responsibilities

• Design, build, and operate stream compute infrastructure with Apache Flink at the center, alongside technologies like Kafka, Temporal, and AWS services
• Partner with product and platform teams across Stripe to understand requirements, unblock Flink adoption, and improve how stream processing infrastructure is used end-to-end
• Define and implement operational best practices (e.g., shuffle sharding, cellular architecture, load shedding, automated state recovery) to improve resilience and reliability at scale
• Drive fleet-level automation and standardization ("pets" to "cattle") through self-service workflows, safer rollouts, and self-healing systems that reduce manual operations
• Lead initiatives that raise the bar on Flink availability and state durability (e.g., multi-region strategies, disaster recovery readiness, operational readiness reviews, incident learning)
• Evaluate and productionize Flink ecosystem capabilities (e.g., SQL, connectors, state backends) to improve developer experience and scalability without compromising reliability
• Work closely with the open source community to identify opportunities for adopting new open source features as well as contribute back to OSS

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• This is a Staff-level role - that typically means 10+ years of experience building, operating, and evolving large-scale production systems
• Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments
• Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot
• Experience developing, maintaining and debugging distributed systems built with open source tools
• Experience building and scaling infrastructure as a product
• Strong software engineering skills and a passion for Big Data Distributed Systems
• Ability to write high quality code (in programming languages like Go, Java, Scala, etc)
• Comfortable operating with high autonomy and ownership
• Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed
• Strong written and verbal communication skills, including the ability to produce clear technical documentation

Preferred qualifications

• Experience operating streaming infrastructure as a platform (e.g., Flink clusters, Kafka, Pulsar) for internal customers at scale
• Deep hands-on experience authoring, optimizing, and operating real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production
• Experience building or operating control planes for managing large-scale infrastructure
• Open source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc)

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification has become core economic infrastructure for online businesses — enabling them to digitally verify their users' identities for fraud prevention, regulatory compliance, and trust and safety purposes.

At Stripe, we're building something more ambitious than a verification product. Our vision is to build the world's most trusted store of verified identities — a single, global, reusable, risk-scored representation of every individual who interacts with Stripe and beyond. This Identity Store becomes a platform with compounding network effects: more verifications enrich the store; a richer store produces better fraud signals; better signals mean lower friction for trusted users; lower friction drives more adoption.

Our product today serves millions of verifications per month for customers like OpenAI, Shopify, and WhatNot, and powers identity verification across multiple internal Stripe products including Fraud, Link, Connect, and Crypto. The problems ahead — adversarial AI and deepfake defense, networked identity infrastructure, progressive verification platforms, and low friction KYC APIs — sit at the frontier of what's possible in identity engineering.

What you’ll do

As a Staff Engineer on the Identity team, you will own the technical direction of one of Stripe's most strategically important product areas. This is not a role defined by task execution — it's a role defined by technical judgment, architectural influence, and the ability to turn an ambitious vision into a reliable, scalable system.

Responsibilities

• Own technical strategy — Define the architecture for Identity's core systems (Identity Store, headless verification platform, fraud detection infrastructure), make build-vs-buy-vs-partner decisions, and surface technical risks before they become customer-facing failures
• Lead 0-1 platform development — Architect net-new systems including the Identity Store, Networked Identity platform, and advanced fraud detection pipeline (behavioral biometrics, deepfake discriminators, adversarial training). Drive the evolution from a hosted-UI product to a headless-API and embedded-components platform
• Drive cross-functional alignment — Be the primary technical voice in roadmap and resourcing discussions. Partner with ML, product, legal, and engineering leads across Risk, Fraud, Link, Connect, and Crypto to ensure Identity's abstractions serve the full breadth of Stripe's product surface
• Raise the technical bar — Set engineering standards across ML, backend, mobile, and front-end; lead design reviews; and mentor senior engineers on the judgment needed to operate a high-stakes, externally-facing product
• Operate with ownership — Be accountable for reliability, scalability, and security of the systems you design — including the observability and alerting that catch model drift and fraud pattern shifts before customers do

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role.
• Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building internal or external developer products). 
• Proven track record of delivering pragmatic solutions that accelerate business growth 
• Ability to adjust conversations from high-level discussions to detailed coding 
• Thrives on a high level of autonomy and responsibility 
• Clear and persuasive writing and in-person communication 
• Strong problem-solving skills, critical thinking, determination, and a growth mindset 
• Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high level of psychological safety for all team members and partner
• Has experience in a range of software languages and frameworks. Examples of what we work with include:
• Languages: primarily Ruby and Typescript, but also Python, Scala, Java, Go, and SQL (Spark and Trino dialects)
• Frameworks: React, GraphQL Kafka, Protobuf, Airflow, Bazel, Temporal, 
• Others: Mongo, Splunk, Prometheus

Preferred qualifications

• Experience with identity verification, fraud detection, or trust and safety systems — especially systems with adversarial inputs at scale
• Familiarity with ML systems in production: model serving, training pipelines, observability, drift detection, and the feedback loops that keep models accurate under adversarial conditions
• Experience building platform products with multiple consumer types — internal platform teams and external developers — where API backward compatibility and abstraction quality are first-class concerns
• Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly
• Exposure to the technical stack we work with: primarily Ruby and TypeScript on the backend and web, Python for ML and data pipelines, with infrastructure spanning Kafka, Temporal, Protobuf, React, and distributed data stores
• Experience navigating ambiguity in a fast-moving organization — you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge

Why Stripe Identity

• The market is at an inflection point. The global identity verification market is growing at ~15% CAGR, from $12.5B in 2024 to $21.8B by 2028. Competitors have more features today — but none of them have Stripe's moat: payments signals, fraud network, consumer graph, and KYC data spanning the full financial ecosystem. We're building to win the next decade, not the last one.
• The problems are genuinely hard. Adversarial ML against deepfakes and face swaps. Distributed identity graph architecture with real-time freshness requirements. Progressive verification APIs that minimize friction without sacrificing fraud detection accuracy. These are unsolved problems — not just at Stripe, but in the industry.
• You'll work on systems that matter immediately. The verifications we run protect real users from real fraud. When our recall improves by 10 points, that's millions of dollars in prevented fraud losses for customers who rely on us. When our mobile SDK completion rate rises, thousands more legitimate users successfully onboard each month.
• The team is small enough that your judgment shapes the architecture. This isn't a role where you inherit decisions made five years ago. It's a role where the decisions you make in 2026 are the ones the team will build on through 2029.

About the Role

We are looking for a software engineer to join our Streaming Systems team, working on the high-throughput systems that collect, forward, and perform real time computation on billions of behavioral events from our customers’ 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 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 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 and comfort with distributed systems and high-scale systems or the ability and desire to build this experience quickly. This experience can take different forms.

Some useful, but not necessary, experience:

• Experience with streaming systems like Kafka, Kinesis, Pulsar, Warpstream
• Experience with high RPS, low p99 latency systems

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.

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

WHO WE ARE

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that unifies identity, intelligence, and omnichannel activation into a single platform – powered by trillions of consumer signals and one of the industry’s largest proprietary databases. Our enterprise clients use the Zeta Marketing Platform (ZMP) to personalize experiences at the individual level across every channel. 

THE ROLE

Our Vertical Applications team builds web applications that bring the power of ZMP to specific industries – Healthcare, Political, Retail, and more. Every vertical comes with its own fascinating challenges: unique compliance requirements, distinct data models, and workflows that genuinely matter to the people using them. It’s the kind of work where you get to learn new domains, solve real problems, and see your applications make a tangible impact. 

You’ll own applications end-to-end: partner with product owners to define the problem, architect the backend, integrate with Zeta’s core platform, build the frontend, ship to production, and ensure operational excellence. We value clean, simple architectures, test-first development, and continuous delivery. AI-assisted development with tools like Cursor, Claude Code, Gemini and Codex is embedded in our everyday workflow, and we’re excited about what agentic engineering unlocks for both development velocity and software quality. 

What You’ll Do 

• Own vertical web applications from idea to production – working closely with product owners, designing the architecture, building it, shipping it, and running it. 

• Architect backend services (Python, Java, Ruby, Node.js) with a focus on simplicity and reusability across verticals, so good patterns compound over time. 

• Build polished frontend experiences in React/TypeScript/Ant Design System that connect seamlessly with backend APIs (REST, Thrift). 

• Ship continuously and confidently through CI/CD, with observability, resilience and reliability built in from the start. 

• Use AI-assisted development tools as a natural part of your workflow to move faster while keeping quality high. 

• Weave AI/LLM capabilities into vertical applications, opening up new possibilities for each domain. 

• Collaborate across teams – mentor fellow engineers, lead technical initiatives, and bring clarity to complex decisions for both technical and non-technical audiences. 

What We’re Looking For 

10+ years of software engineering with a history of owning and operating the systems you build. You’re deeply proficient in at least two of Python, Java, Ruby, or Node.js, with solid React/TypeScript skills on the frontend. Continuous delivery, test-driven development, agile and shift-left are things you genuinely practice – not just checkboxes on a process document. 

You’re comfortable building and operating scalable, distributed, high performant systems and navigating multi-tenant, compliant environments. You’re already using AI-assisted coding tools (Cursor, Claude Code, Gemini, Codex, or similar) and you’re curious about pushing those workflows further.  

You’re a strong communicator who enjoys working directly with product owners, proposing architectures, building consensus across teams, and then making it happen. You’re energized by learning new domains and collaborating with people who care about their craft. 

Nice to Have 

• MarTech or AdTech experience (DSPs, bid stream processing, data-intensive platforms). 

• Domain knowledge in Healthcare, Political, or Retail verticals. 

Tech Stack 

Why You’ll Love It Here 

• Interesting problems across diverse verticals – Healthcare, Political, Retail – on a platform processing trillions of consumer signals. You’ll never be bored. 

• AI-native engineering culture – agentic development isn’t a side experiment, it’s how we build. You’ll be at the forefront of how software teams work in the future. 

• Real ownership and autonomy. We trust our engineers to make great decisions and give them the space to do it. 

• Collaborative, low-ego team that genuinely enjoys working together and learning from each other. 
• Public company (NYSE: ZETA) with strong growth, competitive compensation, equity, and comprehensive benefits. 

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical, dental, and vision coverage
• Employee Equity
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $200,000 - $220,000, depending on location and experience. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

#LI-YW1

WHO WE ARE  

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI.

Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world.  To learn more, go to www.zetaglobal.com.

THE ROLE

Senior Software Engineer wanted in New York, NY to Design, develop and own the distributed systems CRM platform. Collaborate with fellow Engineers and Product Managers to develop a roadmap and subsequent projects to build the next-generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touchpoints, driving return on marketing investment. Work on the design, development, and delivery of the company’s complex marketing technology platform involving both database and interactive technologies.

• Understand business requirements, designing, and implementing core components for a real-world marketing automation platform.
• Design, implement and maintain application code to satisfy product requirements.
• Proactively identify and address project risks stemming from product gaps.
• Ensure timely delivery of high-quality product updates and features through rigorous code reviews and unit tests.
• Research, propose and implement cost-effective solutions to address business challenges.
• Create robust functional and technical documentation about product features and platform integrations.
• Verify that client solutions are implemented in the most optimal and compliant manner and recommend changes for improvements.
• Ensure client team communication is handled promptly.
• Use experience developing scalable, robust software platforms using Java, Ruby, Python, J2EE technology or equivalent OO paradigm.
• Use knowledge of ETL, Business Intelligence, and Campaign Management tools and applications.
• Use experience in utilizing SOAP and RESTful APIs, MySQL, and other databases.
• Use Kafka, Elastic Search, NoSQL databases such as Aerospike, Thrift, CI, and AWS.
• Use experience working on data/ETL pipelines

Option to telecommute.

Bachelor’s degree in Electrical and Computer Engineering or Computer Science plus 5 years of experience required in the job offered or similar occupation.

Salary expectations: $189,592/yr

Send resume to: S Arvelo, Zeta Global Corp., 3 Park Avenue, 33rd Floor, New York, NY 10016.

BENEFITS & PERKS 

• Unlimited PTO 
• Excellent medical, dental, and vision coverage 
• Employee Equity and Stock Purchase Plan 
• Employee Discounts, Virtual Wellness Classes, and Pet Insurance 

And more!!  

PEOPLE & CULTURE AT ZETA 

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS! 

https://zetaglobal.com/press/?cat=press-releases 

Quant Library Developer, Macro Technology.

A Career with Point72’s TECHNOLOGY TEAM

As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications.

As a member of Point72’s Technology team, we encourage and support your professional development from day one, helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity; all while delivering real business impact for our multi-billion-dollar global business.

What you’ll do

• Design, build, and extend core C# analytics services, APIs, and libraries used across the Macro business.
• Develop and operate high-performance distributed systems with strong guarantees around correctness, latency, and scalability.
• Build real-time and historical analytics services supporting pricing, risk, and global market data workflows.
• Design and maintain time-aware (historical and real-time) data models and services, ensuring consistency across analytics use cases.
• Develop and integrate derived data pipelines and datasets used in research, backtesting, and production analytics.
• Contribute to API design, data modeling, and system architecture for shared analytics platforms.
• Integrate analytics services with batch and streaming data pipelines across research and trading workflows.
• Partner closely with quants and portfolio managers to translate investment requirements into robust platform capabilities.
• Contribute to system reliability through testing, monitoring, and operational best practices.
• Participate in code reviews and technical discussions to improve design, performance, and maintainability.

What’s REQUIRED

• 3–10 years of experience developing production-quality backend software in C#, with a strong focus on distributed systems and APIs (REST/gRPC).
• Proven experience designing, deploying, and supporting backend services or platforms in cloud or hybrid environments .
• Strong understanding of distributed system design, including data modeling, consistency, and time-series or event-driven architectures.
• Hands-on experience with streaming and messaging systems, such as Kafka, and building scalable data pipelines with derived data generation and persistence.
• Familiarity with containerized environments, such as Kubernetes, and modern data and storage technologies.
• Solid grasp of SDLC best practices, including testing, code coverage, monitoring, and operational support in production systems.
• Experience with Python and exposure to C++, particularly in performance- or analytics-oriented contexts.
• Awareness of financial markets and instruments, including rates, FX, and derivatives, and how pricing and risk analytics are applied.
• Strong communication and collaboration skills, with the ability to work closely with investment professionals.
• Commitment to the highest ethical standards.

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

• Fully paid health care benefits
• Generous parental and family leave policies
• Volunteer opportunities
• Support for employee-led affinity groups representing women, people of color and the LGBT+ community
• Mental and physical wellness programs
• Tuition assistance
• A 401(k) savings program with an employer match and more

About Point72

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.

The annual base salary range for this role is $245,000-$300,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Atlas Stream Processing enables developers to continuously process streaming data alongside critical application data stored in their database. It builds on MongoDB’s integrated developer data platform, so developers can stand up a stream processor and database with just a few API calls and lines of code, all fully managed. Our product is quickly gaining traction, and we are adding core features that you will contribute to and own.

The team owns the C++ stream processing engine that powers Atlas Stream Processing, built on top of MongoDB's Aggregation Framework. The team operates like a startup within the company, a small group with real autonomy, responsible for everything from the core execution engine and stream processing stages. We’re looking for a Senior Software Engineer to design, build, and evolve this execution engine.

We're looking to speak with candidates in the New York City area for our hybrid working model.

Position Expectations

• Design, build, and deliver core components of the system in collaboration with other stakeholders
• Help shape architecture, development practices, and escalation policies as the teams and the product grow
• Mentor fellow engineers and assume ownership and accountability of projects

Qualifications

• Strong background in database internals or building core components for data processing systems (including query execution, storage engines, autotuning, and workload optimization)
• 5+ years of experience in building database services, distributed systems, and/or foundational cloud services at scale
• Proven success in designing, writing, testing, debugging, performance tuning, possessing a strong grip on the foundational material of computer science, and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases
• Good verbal and written technical communication skills, desire to collaborate with colleagues, mentor fellow engineers, and assume project ownership and accountability
• Track record of identifying problems, implementing solutions, and delivering complex projects in distributed systems or databases
• Strong sense of ownership, accountability, and pride

Nice to have

• Hands‑on modern C++ experience in performance‑sensitive systems
• Background with stream processing or query engines. Exposure to systems such as Flink, Spark, Beam, Kafka Streams, or database query engines

About MongoDB

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

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

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

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

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

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

Req ID: 1273396626

The opportunity

At Unity, we are building a world-class ad-tech ecosystem that connects billions of users with the creators and experiences they love. The Advertiser Growth team is the engine of this mission, ensuring that as our marketplace expands, advertisers have the intelligent tools, robust infrastructure, and rigorous experimentation frameworks needed to scale their impact.
In 2026, our roadmap is defined by three transformative pillars: Foundation, Smart, and Intelligence. This role is unique in its technical breadth, sitting at the intersection of financial execution, creative innovation, and marketplace science. You will architect the GenAI systems that build high-performing creatives, design the pacing algorithms that manage multi-million dollar budgets, ensure our billing pipelines handle massive scale with zero-fault tolerance, and build the experimentation infrastructure that allows us to scientifically evolve the marketplace. This is a high-stakes role where your technical leadership directly governs Unity’s financial integrity and the long-term growth of our ecosystem.

What you'll be doing

• Next-Gen budget pacing: Design and optimize sophisticated pacing controllers (PID, probabilistic forecasting) to smooth advertiser spend across diverse time zones and traffic spikes, ensuring optimal delivery and marketplace stability.
• Creative GenAI infrastructure: Lead the backend integration of Generative AI models (Diffusion, LLMs) to automate the creation of high-performing image and video assets tailored to specific campaign goals and formats.
• Marketplace experimentation engine: Build and scale the infrastructure for high-velocity experimentation, including A/B testing, switchback tests, and long-term holdouts to measure the impact of marketplace changes on advertiser ROI and platform health.
• High-Scale billing reliability: Architect and maintain high-throughput billing pipelines that process billions of events with 100% accuracy, bridging the gap between real-time ad delivery and mission-critical financial reconciliation.
• Scientific optimization: Analyze complex financial and marketplace datasets to refine the trade-off between spend velocity and advertiser performance, using experimentation results to tune pacing and billing logic.

What we're looking for

• Advanced degree in computer science or relevant engineering-related field or equivalent experience.
• 4+ years of software engineering experience, including 1+ year working on ads delivery systems.
• Extensive experience building and operating large-scale, low-latency backend systems using languages like Java, Go, or Scala.
• Deep familiarity with building or maintaining budget control systems, feedback loops, or spend-prediction algorithms.
• Proven experience building or scaling experimentation platforms, with a deep understanding of variance reduction, interference/network effects, and metric design in a marketplace context.
• A track record of working on "mission-critical" pipelines (like billing, payments, or clearinghouses) where data precision, idempotency, and fault tolerance are paramount.
• Experience or strong technical interest in building the backend workflows required to serve, scale, and store Generative AI models for creative asset generation.
• Proficiency with real-time stream processing (Kafka, Flink, or Spark) specifically applied to event-based charging and real-time performance feedback.
• A proven ability to lead complex, multi-quarter technical roadmaps and mentor senior engineers in a high-growth environment.

You might also have

• Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security.

Additional information

• Relocation support is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-AR1

The opportunity

At Unity, we are building a world-class ad-tech ecosystem that connects billions of users with the creators and experiences they love. The Advertiser Growth team is the engine of this mission, ensuring that as our marketplace expands, advertisers have the intelligent tools, robust infrastructure, and rigorous experimentation frameworks needed to scale their impact.
In 2026, our roadmap is defined by three transformative pillars: Foundation, Smart, and Intelligence. This role is unique in its technical breadth, sitting at the intersection of financial execution, creative innovation, and marketplace science. You will architect the GenAI systems that build high-performing creatives, design the pacing algorithms that manage multi-million dollar budgets, ensure our billing pipelines handle massive scale with zero-fault tolerance, and build the experimentation infrastructure that allows us to scientifically evolve the marketplace. This is a high-stakes role where your technical leadership directly governs Unity’s financial integrity and the long-term growth of our ecosystem.

What you'll be doing

• Next-Gen budget pacing: Design and optimize sophisticated pacing controllers (PID, probabilistic forecasting) to smooth advertiser spend across diverse time zones and traffic spikes, ensuring optimal delivery and marketplace stability.
• Creative GenAI infrastructure: Lead the backend integration of Generative AI models (Diffusion, LLMs) to automate the creation of high-performing image and video assets tailored to specific campaign goals and formats.
• Marketplace experimentation engine: Build and scale the infrastructure for high-velocity experimentation, including A/B testing, switchback tests, and long-term holdouts to measure the impact of marketplace changes on advertiser ROI and platform health.
• High-Scale billing reliability: Architect and maintain high-throughput billing pipelines that process billions of events with 100% accuracy, bridging the gap between real-time ad delivery and mission-critical financial reconciliation.
• Scientific optimization: Analyze complex financial and marketplace datasets to refine the trade-off between spend velocity and advertiser performance, using experimentation results to tune pacing and billing logic.

What we're looking for

• Advanced degree in computer science or relevant engineering-related field or equivalent experience.
• 4+ years of software engineering experience, including 1+ year working on ads delivery systems.
• Extensive experience building and operating large-scale, low-latency backend systems using languages like Java, Go, or Scala.
• Deep familiarity with building or maintaining budget control systems, feedback loops, or spend-prediction algorithms.
• Proven experience building or scaling experimentation platforms, with a deep understanding of variance reduction, interference/network effects, and metric design in a marketplace context.
• A track record of working on "mission-critical" pipelines (like billing, payments, or clearinghouses) where data precision, idempotency, and fault tolerance are paramount.
• Experience or strong technical interest in building the backend workflows required to serve, scale, and store Generative AI models for creative asset generation.
• Proficiency with real-time stream processing (Kafka, Flink, or Spark) specifically applied to event-based charging and real-time performance feedback.
• A proven ability to lead complex, multi-quarter technical roadmaps and mentor senior engineers in a high-growth environment.

You might also have

• Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security.

Additional information

• Relocation support is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-AR1

The opportunity

At Unity, we are building a world-class ad-tech ecosystem that connects billions of users with the creators and experiences they love. The Advertiser Growth team is the engine of this mission, ensuring that as our marketplace expands, advertisers have the intelligent tools, robust infrastructure, and rigorous experimentation frameworks needed to scale their impact.
In 2026, our roadmap is defined by three transformative pillars: Foundation, Smart, and Intelligence. This role is unique in its technical breadth, sitting at the intersection of financial execution, creative innovation, and marketplace science. You will architect the GenAI systems that build high-performing creatives, design the pacing algorithms that manage multi-million dollar budgets, ensure our billing pipelines handle massive scale with zero-fault tolerance, and build the experimentation infrastructure that allows us to scientifically evolve the marketplace. This is a high-stakes role where your technical leadership directly governs Unity’s financial integrity and the long-term growth of our ecosystem.

What you'll be doing

• Next-Gen budget pacing: Design and optimize sophisticated pacing controllers (PID, probabilistic forecasting) to smooth advertiser spend across diverse time zones and traffic spikes, ensuring optimal delivery and marketplace stability.
• Creative GenAI infrastructure: Lead the backend integration of Generative AI models (Diffusion, LLMs) to automate the creation of high-performing image and video assets tailored to specific campaign goals and formats.
• Marketplace experimentation engine: Build and scale the infrastructure for high-velocity experimentation, including A/B testing, switchback tests, and long-term holdouts to measure the impact of marketplace changes on advertiser ROI and platform health.
• High-Scale billing reliability: Architect and maintain high-throughput billing pipelines that process billions of events with 100% accuracy, bridging the gap between real-time ad delivery and mission-critical financial reconciliation.
• Scientific optimization: Analyze complex financial and marketplace datasets to refine the trade-off between spend velocity and advertiser performance, using experimentation results to tune pacing and billing logic.

What we're looking for

• Advanced degree in computer science or relevant engineering-related field or equivalent experience.
• 4+ years of software engineering experience, including 1+ year working on ads delivery systems.
• Extensive experience building and operating large-scale, low-latency backend systems using languages like Java, Go, or Scala.
• Deep familiarity with building or maintaining budget control systems, feedback loops, or spend-prediction algorithms.
• Proven experience building or scaling experimentation platforms, with a deep understanding of variance reduction, interference/network effects, and metric design in a marketplace context.
• A track record of working on "mission-critical" pipelines (like billing, payments, or clearinghouses) where data precision, idempotency, and fault tolerance are paramount.
• Experience or strong technical interest in building the backend workflows required to serve, scale, and store Generative AI models for creative asset generation.
• Proficiency with real-time stream processing (Kafka, Flink, or Spark) specifically applied to event-based charging and real-time performance feedback.
• A proven ability to lead complex, multi-quarter technical roadmaps and mentor senior engineers in a high-growth environment.

You might also have

• Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security.

Additional information

• Relocation support is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-AR1

The opportunity
At Unity, we are building a world-class ad-tech ecosystem that connects billions of users with the creators and experiences they love. The Advertiser Growth team is the engine of this mission, ensuring that as our marketplace expands, advertisers have the intelligent tools, robust infrastructure, and rigorous experimentation frameworks needed to scale their impact.

In 2026, our roadmap is defined by three transformative pillars: Foundation, Smart, and Intelligence. This role is unique in its technical breadth, sitting at the intersection of financial execution, creative innovation, and marketplace science. You will architect the GenAI systems that build high-performing creatives, design the pacing algorithms that manage multi-million dollar budgets, ensure our billing pipelines handle massive scale with zero-fault tolerance, and build the experimentation infrastructure that allows us to scientifically evolve the marketplace. This is a high-stakes role where your technical leadership directly governs Unity’s financial integrity and the long-term growth of our ecosystem.

What you'll be doing

• Next-Gen budget pacing: Design and optimize sophisticated pacing controllers (PID, probabilistic forecasting) to smooth advertiser spend across diverse time zones and traffic spikes, ensuring optimal delivery and marketplace stability.
• Creative GenAI infrastructure: Lead the backend integration of Generative AI models (Diffusion, LLMs) to automate the creation of high-performing image and video assets tailored to specific campaign goals and formats.
• Marketplace experimentation engine: Build and scale the infrastructure for high-velocity experimentation, including A/B testing, switchback tests, and long-term holdouts to measure the impact of marketplace changes on advertiser ROI and platform health.
• High-Scale billing reliability: Architect and maintain high-throughput billing pipelines that process billions of events with 100% accuracy, bridging the gap between real-time ad delivery and mission-critical financial reconciliation.
• Scientific optimization: Analyze complex financial and marketplace datasets to refine the trade-off between spend velocity and advertiser performance, using experimentation results to tune pacing and billing logic.

What we're looking for

• Advanced degree in computer science or relevant engineering-related field or equivalent experience.
• 6+ years of software engineering experience, including 3+ years working on ads delivery systems.
• Extensive experience building and operating large-scale, low-latency backend systems using languages like Java, Go, or Scala.
• Deep familiarity with building or maintaining budget control systems, feedback loops, or spend-prediction algorithms.
• Proven experience building or scaling experimentation platforms, with a deep understanding of variance reduction, interference/network effects, and metric design in a marketplace context.
• A track record of working on "mission-critical" pipelines (like billing, payments, or clearinghouses) where data precision, idempotency, and fault tolerance are paramount.
• Experience or strong technical interest in building the backend workflows required to serve, scale, and store Generative AI models for creative asset generation.
• Proficiency with real-time stream processing (Kafka, Flink, or Spark) specifically applied to event-based charging and real-time performance feedback.
• A proven ability to lead complex, multi-quarter technical roadmaps and mentor senior engineers in a high-growth environment.

You might also have

• Experience embracing AI as a strategic advantage in engineering, following established best practices for code quality and security.

Additional information

• Relocation support is not available for this position

Life at Unity

Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, disability, gender, or any other protected status in accordance with applicable law. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-AR1

This is Hybrid role (3 days in office /2 days remote)

About your Team:

The Enterprise Architecture organization is looking for a Data Engineer to join the team and help build the next generation of data infrastructure and AI-enabled workflows. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data lake platforms, and analytics solutions that support enterprise-wide AI initiatives and advanced analytics capabilities. You will partner closely with internal development teams and IT leadership to architect data solutions that meet diverse use-cases across the organization. This role offers the opportunity to work with cutting-edge data technologies, AI knowledge bases, and cloud-native data platforms as we scale our data operations. Your work will focus on delivering robust, well-documented data solutions and establishing best practices for data engineering across the enterprise.

 What will be your responsibilities within IBKR: 

· Design, build, and maintain scalable data crawlers and ETL/ELT pipelines to ingest data from various sources including enterprise collaboration tools, web applications, and internal databases

· Develop and manage data lake platform infrastructure including S3-based storage, Iceberg tables, AWS Glue data catalog, and cloud data warehouse solutions for analytics workloads

· Build and optimize real-time streaming data pipelines using Kafka for event-driven analytics and data processing

· Create and maintain data transformation pipelines to clean, curate, and prepare data for analytics and AI/ML applications, supporting multiple data formats including structured, semi-structured, and unstructured data (text, images, audio, video)

· Develop Python-based applications for data ingestion, processing, and integration supporting Gen AI RAG workflows and knowledge base systems

· Collaborate with internal development teams, data scientists, and stakeholders to understand requirements, architect appropriate data solutions, and create comprehensive technical documentation

· Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and data quality

· Write clean, maintainable, well-tested code following software engineering and data engineering best practices

· Create comprehensive technical documentation for data pipelines, architectures, and platform capabilities

 What required skill’s you need:

· 6+ years of hands-on data engineering experience with modern data stack technologies

· Strong experience with AWS cloud services, particularly: S3, AWS Glue, Athena, EMR, Lambda

· Proficiency in Python for data processing, ETL, and application development

· Experience with PySpark on EMR for large-scale data processing

· Strong SQL skills for data analysis and transformation

· Experience building and maintaining ETL/ELT pipelines at scale

· Experience with Kafka for streaming data pipelines and real-time data processing

· Knowledge of data lake architectures and modern table formats (e.g., Iceberg)

· Experience with CI/CD practices using Git, version control systems, and containerization (Docker)

· Understanding of data modeling, data warehousing concepts, and analytics best practices

· Exceptional problem-solving and analytical skills

· Excellent collaboration and communication (verbal and written) skills

· Self-motivated with ability to work independently and manage multiple priorities

· Willingness and enthusiasm to learn AI/ML technologies, stay current with emerging data engineering trends

 To be successful in this position, you will have the following:

• Self-motivated and able to handle tasks with minimal supervision.
• Superb analytical and problem-solving skills.
• Excellent collaboration and communication (Verbal and written) skills.
• Outstanding organizational and time management skills.

Company Benefits & Perks

What We’re Looking For

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

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

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

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

What You’ll Do

Observability Platform & Productization

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

Telemetry & Data Pipelines

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

Alerting, Reliability & Insights

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

Systems & Infrastructure Engineering

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

Cross-Functional Collaboration

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

What You’ll Need

Required Qualifications

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

Ideal Experience

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

Compensation

Who You Are:

Working as part of the derivatives engineering team, you are an expert on data pipelining and API development. You have knowledge surrounding common derivatives pricing frameworks and inputs for different tradable assets, and how these inputs are derived. You also have experience with working with various backend technologies and have a detailed working knowledge of core software engineering concepts, such as garbage collection, asynchronous processing, and data structures. You have experience in using mathematical and financial libraries (i.e. SciPy, NumPy, QuantLib) in software engineering applications. You are also familiar with building deployment processes for applications, including unit testing, integration testing, and deployment to a cloud provider (EC2, Kubernetes). You have a curiosity for learning new technologies and expanding your expertise across business lines and technology stacks.

As a team member, you will also work on production support issues and be involved in improvements on CI/CD automation and DevOps. 

Knowledge of the following is an advantage:

• Python, Go, Java
• Derivatives Pricing Models (SABR, SVI)
• Kafka, AWS SQS, or MQ
• Relational and non-relational Databases (Postgres, SQL Server, Databricks)
• Time series databases
• Spark
• FastAPI, Pydantic
• Jenkins
• AWS
• Caching Strategies and Implementations
• In-Memory Data Management
• Experience with Docker

What You’ll Do:

• Work closely with the Derivatives trading desk in optimizing their trading and risk management tools, as well as building reusable derivatives pricing libraries and algorithms
• Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
• Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.

What We’re Looking For: 

• 6+ years of professional experience working in software development
• Experience with building data pipelines, APIs, and reporting tools
• Experience in Financial Technology
• Strong knowledge of data structures, their implementations, and optimization techniques
• University degree in computer science, physics, engineering, or equivalent programming experience

Bonus Points: 

• Experience with LLM Finetuning and RAG Optimization
• Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support
• Experience in quantitative trading

What We Offer:

• Competitive base salary and discretionary bonus
• Hybrid/Flexible Working Arrangements 
• Flexible Time Off (paid)
• 3% 401(k) company contribution
• Company-paid health and protective benefits for employees, partners, and other dependents
• Generous paid Parental Leave
• Competitive family planning benefits for US employees 
• Opportunities to learn about the Crypto industry
• Smart, entrepreneurial, and fun colleagues
• Free daily snacks and weekly breakfasts/lunches 
• Employee Resource Groups
• Free coaching and counseling sessions through Headspace

Apply now and join us on our mission to engineer a new economic paradigm.

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 Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale. 

About the role:

As a Senior/Lead Forward Deployed Engineer (SFDE) at Parloa, you’ll be on the front lines of enterprise AI adoption - delivering cutting-edge technology into some of the most complex environments in the world. Your mission: lead end-to-end deployment projects from an engineering perspective - not just implementing what exists, but engineering what’s required to make it succeed at enterprise scale.

FDEs are our in-field product engineers. You will build what doesn’t yet exist, adapt architecture to enterprise realities, and engineer integrations across systems and APIs to make deployments successful. Your work is hands-on and code-first - you’ll be building, debugging, and engineering solutions directly in the field. What you ship not only makes deployments succeed, it also defines how customers experience Parloa and shapes what our product becomes.

This is not about maintenance. This is about engineering what makes it work in production, under real-world enterprise constraints, at speed and scale

Areas of ownership:

• Own deployment engineering projects: Lead the technical execution (incl. product engineering) of Parloa’s deployments inside large, complex enterprise environments
• Design for scale and resilience: Architect deployment solutions that meet enterprise-grade requirements for performance, reliability, and security
• Engineer solutions where none exist: Build custom extensions, integrations, and configurations to close product gaps and meet enterprise requirements
• Work across systems & stacks: Operate at the intersection of backend engineering, DevOps, and data engineering to ensure seamless delivery
• Partner with enterprise teams: Collaborate directly with customer engineering organizations to overcome constraints and deliver measurable outcomes
• Guide and mentor others: Collaborate with and provide technical guidance to more junior in-field engineers
• Influence at senior levels: Engage with enterprise architects and senior technical stakeholders, discussing solutions and architectures in depth to ensure alignment and credibility
• Debug under pressure: Rapidly unblock issues in mission-critical environments and ensure customer success.
• Shape the product: Act as the feedback loop between the field and our core engineering teams - turning deployment learnings into platform evolution
• Deliver long-term impact: Work closely with Deployment Strategists to ensure scalable architectures and durable customer value

Our Technology Stack: Python,TypeScript, Node.js, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, MCP

Who you are:

• 7+ years of professional experience in software engineering, systems integration, DevOps, or data engineering roles with direct customer impact
• Proven track record of leading deep technical deployments and integrations in large-scale enterprise environments
• Strong technical depth across backend engineering, infrastructure-as-code, Kubernetes/cloud platforms, APIs, and databases - with proven experience in systems design and the ability to go hands-on in production systems
• Ability to operate independently in ambiguous, high-responsibility settings, especially when deploying live to enterprise systems
• A builder’s mindset with bias for action, creativity under pressure, and an obsession with making things work in the real world
• Degree in Computer Science, Engineering, or related technical field
• Strong plus: Experience building or integrating AI/LLM-powered systems (e.g., embedding agent workflows, vector databases, prompt orchestration)

Our recruiting process:

TA Screen → Hiring Manager Call → Technical Interview → Bar Raiser

Salary ranges include OTE

Why Parloa?

We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.

At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.

We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.

Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.

FEQ227R170

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales team,s and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 6+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

FEQ227R295

While candidates in the listed location(s) are encouraged to apply for this role, exceptionally well-qualified candidates in other East Coast locations will also be considered.

Mission

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and AI. As a member of our team, you will exercise and grow your expertise in those areas, using open source projects such as Apache Spark™, Delta Lake, and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales teams and partners, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In this process, you will build relationships with our customers, identify and cultivate champions, and establish yourself as a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at Databricks.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications
• Build and present reference architectures, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for:

• 4+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java, or R
• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers is a positive differentiator 
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

About the Role
The Onsite Customer Growth team builds the features that help Attentive’s customers grow directly on their websites. Our mission is to accelerate list growth and improve conversion by delivering creative, high performing onsite experiences powered by strong engineering and intelligent AI driven optimization.

What You’ll Accomplish

• Lead, mentor, and grow a high performing engineering team responsible for building the backend systems powering onsite customer growth products
• Set the technical vision and roadmap for backend services, APIs, and data driven systems that power personalized onsite experiences at scale
• Partner closely with AI, data, and product teams to develop intelligent capabilities that improve performance and user experience
• Ensure the reliability, scalability, and performance of the systems that support customer growth and real time user interactions
• Drive best practices in design discussions, code reviews, architecture decision making, and operational excellence
• Foster a learning oriented team culture that encourages collaboration, curiosity, ownership, and continuous improvement
• Own delivery of key product initiatives, balancing long term platform investments with near term business objectives
• Promote clean, maintainable, well tested code and high engineering standards across the team

Your Expertise

• 7+ years of professional backend software engineering experience, including at least two years managing or leading engineers
• Strong proficiency in one or more modern programming languages such as Java, or Typescript
• Experience designing and operating distributed systems, APIs, and microservice architectures at scale
• Hands on familiarity with cloud platforms such as AWS and containerization technologies such as Docker or Kubernetes
• Deep understanding of databases, messaging systems, or streaming technologies such as PostgreSQL, Redis, or Kafka
• Track record of building reliable, scalable, high throughput systems that support customer facing products
• Demonstrated ability to coach and develop engineers, drive team alignment, and create an inclusive, collaborative engineering environment
• Strong communication and cross functional partnership skills, with the ability to work effectively with AI, data, product, and design teams
• A mindset rooted in ownership, curiosity, and a passion for building meaningful systems that drive measurable customer impact

What We Use

• Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
• Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
• Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, AirFlow, Postgres, and Redis, hosted via AWS
• Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
• Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $193,000 - $250,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

#LI-MN1

By applying for this position, your data will be processed as per Attentive's Privacy Policy.

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

About the Role, Mission or Department Overview

The New AI Products and Platforms mission is a central hub for new, high-ambition AI opportunities and services at The Times. We are hiring a Senior Software Engineer to help build the backend services and infrastructure that will form our internal AI Platform.

This platform will enable teams across the company to build, deploy, and manage applications that use large language models (LLMs) to advance our journalism and our business. You will report to the Director of AI Platforms and work with a team of engineers, designers, product and project managers, data scientists, and newsroom stakeholders to make investments in AI possible across The Times.

This is a hybrid position based in our New York City headquarters. You can typically expect to come into the office two days per week.

Responsibilities:

• Design, build, and maintain scalable and reliable backend services and APIs for a central platform used by teams building AI applications across our journalism and our business.

• Take ownership of core platform components and integrations, including systems for prompt and workflow management, evaluation and tracing, and monitoring for cost, usage, and performance.

• Build and operate vector database and retrieval infrastructure to support search and AI-powered discovery experiences.

• Design and develop retrieval-augmented generation (RAG) pipelines and agentic workflows that connect our content, data, and AI models.

• Build orchestration layers for multi-step AI workflows, managing the coordination of LLM calls, retrieval, and business logic.

• Develop the infrastructure that enables teams to create and manage their AI applications, complete with metadata, observability, and access controls.

• Architect and implement data pipelines and storage solutions to support our AI systems.

• Write high-quality, maintainable, and well-tested code, primarily in backend languages like Python or Go.

• Ensure a high degree of code quality, security, and system observability.

• Collaborate with editorial, product, ML, and data teams to translate requirements into platform capabilities.

• Review code written by other software engineers on the team and provide feedback.

• Contribute to and advocate for robust testing strategies to ensure service reliability.

• Be a mentor to other software engineers to enable their growth.

• 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:

• 5+ years of software engineering experience, with a strong focus on backend development.

• 5+ years of experience in one or more backend programming languages such as Python or Go.

• 5+ years of experience designing, building, and operating distributed systems and APIs at scale.

• 1+ years of experience building applications with Large Language Models (LLMs) and familiarity with the surrounding ecosystem (e.g., orchestration, retrieval-augmented generation).

Preferred Qualifications:

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-Hybrid

REQ-019837

About the Role

The New York Times is looking for a Senior Data Engineer to join the Customer-Facing Data Products team to develop real-time data pipelines and APIs that process events and serve aggregated data for customer-facing use cases. You will report to the Engineering Manager for the Customer-Facing Data Products team and build widely reusable solutions to help partner teams solve our most important real-time needs, including behavioral and targeting use cases.

This is a hybrid role based in our New York City headquarters.

Responsibilities:

Basic Qualifications:

• 5+ years of full-time data engineering experience shipping real-time solutions with‬‭ event-driven architectures and stream-processing frameworks
• Experience with cloud native architectures (AWS preferred), including service offerings and tools
• Understanding of modern API design principles and technologies, including REST,‬‭ GraphQL, and gRPC for data serving
• Programming fluency with Python
• Experience using version control and CI/CD tools, such as Github Actions and Drone

Preferred Qualifications:

• Experience developing streaming pipelines with Apache Kafka, Apache Flink, or Spark‬‭ Streaming
• Experience building APIs using Python frameworks (FastAPI, Flask)
• Experience with SQL
• Understanding of modern data platforms including data lakehouse‬‭ and medallion architectures
• Experience collaborating with product and partners to meet shared goals
  
  

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

#LI-Hybrid

REQ-020049

About the Role, Mission or Department Overview

The New York Times is looking for a Lead Data Taxonomist to serve as the architect and steward of our enterprise-wide event taxonomy. The New York Times is home to multiple products across News, Games, Cooking, Wirecutter, and The Athletic with billions of monthly events. Therefore, the need for a unified, governed, and high-quality data language is critical. In a long-term effort, it will dramatically improve data quality at the New York Times and power real-time recommendation engines, personalization algorithms, and future AI initiatives.

You will be responsible for New York Times' global event data catalog and taxonomy. You will sit at the intersection of Product, Data Platform, and Analytics, capturing every interaction — from a Wordle guess to a subscriber payflow — through a standardized, semantic lens. You will report to our Executive Director, Data & Insights.

Responsibilities:

• You will develop and maintain a multi-domain enterprise taxonomy that includes Behavioral, Commerce, Messaging, User, Session, and other key data domains. This taxonomy will be transferable across all NYT products and codebases.

• You will establish and enforce global events, event properties, standard property values, required fields, acceptable value types, and naming conventions. You will own the definition and lifecycle of global events that track the user journey across the entire NYT ecosystem.

• You will be the final authority for the taxonomy, approving or rejecting all pull requests and proposals for new events, properties, or changes to the existing taxonomy.

• You will oversee the enterprise event catalog, ensuring it serves as a high-fidelity source of truth with accurate business logic and metadata.

• You will define and monitor domain-specific KPIs for data quality, security, and integration, solving for systemic issues.

• You will iterate with engineers to improve instrumentation capabilities in service of data products

• You will collaborate with engineers to align the taxonomy with Kafka infrastructure and with Analytics Engineering to ensure data is designed to flow effortlessly downstream and to help develop our larger New York Times ontology

• You will facilitate and provide oversight for data councils concerning events and metrics

• You will provide support and training to product and analytics teams to improve and evolve event tracking

• You will advocate for information architecture best practices and master data management (MDM) principles across the organization.

• 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:

• 7+ years in Data Taxonomy, Data Ontology, Data Architecture, Technical Product Management, or Digital Analytics Implementation.

• 5+ years of developing taxonomies and information architecture for front-end and back-end use cases

• 5+ years of experience with event-cataloging software (e.g., Avo, Iteratively, Segment Protocols, or proprietary internal tools).

• Experience managing complex, global event taxonomies for large, multi-product organizations

• Expertise with JSON, YAML, and other data modeling languages and tools

• Mastery of SQL, Python, and other data wrangling tools and languages

• Experience enforcing standards in high-growth, decentralized engineering environments

• Applied knowledge of industry-leading data governance, quality, and data management practices and tools

Preferred Qualifications:

• Proficiency with GCP, AWS, or other big data environments

• Background in subscription or media industries with complex data

• Familiarity with Data Contracts and their implementation within a CI/CD workflow.

• Master's degree in Library Science, Information Management, or Computer Science.

REQ-019811 

At Squarespace, we empower millions of creators—from artists to entrepreneurs—to build a brand and transact with their customers in an impactful and beautiful online presence. The journey for every single one of these customers begins with a single step: securing a domain. This is a hybrid role working from our New York City office 3 days per week.

Domains teams that we are hiring for:

• Domains Email: This team is the engine behind one of our high-growth product categories, serving as a critical pillar in our mission to help entrepreneurs succeed. We are selling more than just a service; we are building the indispensable communication hub that allows millions of users to manage their professional identity.

You'll Get To...

• Design, develop, and maintain scalable and performant backend services and APIs , using Java.
• Lead technical design discussions, propose solutions, and make informed architectural decisions that align with our overall strategy.
• Collaborate with product managers, frontend engineers, and other stakeholders to translate product requirements into technical specifications and deliver impactful product experiences.
• Set a standard of technical excellence through RFC reviews and the code review process
• Mentor junior engineers, share knowledge, and foster a culture of technical excellence within the team.

Who We're Looking For

• 7+ years of backend software development, building scalable and distributed systems in cloud environments (e.g. GCP, AWS)
• 4+ years of development experience in Java and Spring
• Experience with relational or NoSQL databases such as CockroachDB, MongoDB
• Familiarity with queuing or streaming technologies such as Kafka, Pub/Sub, AMQP
• Nice to have, but not required: Understanding of how a domain works (DNS, TLDs, domain registration processes, WHOIS, etc.).

Your team and manager will:

• Provide opportunities that align with your interests, career growth, and the growth of the company
• Create an inclusive environment that's psychologically safe and encourages learning
• Work with you to build a personalized career growth plan with clear expectations and milestones
• Plan regular team outings to have fun outside the office

Benefits & Perks

• A choice between medical plans with an option for 100% covered premiums
• Fertility and adoption benefits
• Access to supplemental insurance plans for additional coverage
• Headspace mindfulness app subscription
• Global Employee Assistance Program
• Retirement benefits with employer match
• Flexible paid time off
• 12 weeks paid parental leave and family care leave
• Pretax commuter benefit
• Education reimbursement
• Employee donation match to community organizations
• 7 Global Employee Resource Groups (ERGs)
• Dog-friendly workplace
• Free lunch and snacks
• Private rooftop
• Hack week twice per year

Cash Compensation Range: $128,500 – $231,500 USD

The base salary for this position will vary based on job-related criteria including relevant skills, experience, and location, among other factors.

In addition to the cash compensation above (which includes base salary and, where applicable for eligible roles, may include overtime pay), Squarespace employees are eligible to be granted an option to purchase our common stock. Sales positions generally offer a competitive On Target Earnings (OTE) incentive structure in addition to base salary.

About Squarespace

Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of customers in more than 200 countries and territories with all the tools they need to create an online presence, build an audience, monetize, and scale their business. Our suite of products range from websites, domains, ecommerce, and marketing tools, as well as tools for scheduling with Acuity and creating and managing social media presence with Bio Sites and Unfold. Our team of more than 1,700 is headquartered in New York City, with offices in Dublin, Ireland, and Aveiro, Portugal. For more information about our company, visit https://www.squarespace.com/about/careers.

Our Commitment

Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customer base, but we also strive for the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace.

About the Position

Bluefish AI is looking for a Senior Backend Engineer to own the data platform infrastructure that powers our AI marketing platform; building the systems that reliably move and process data at scale.

This role sits within the Data Engineering team and focuses on building scalable, observable, and resilient systems that handle production data. You will work closely with data engineers and product teams to level up data pipelines and ensure data acquisition scales with the business. This is an exciting opportunity to shape the future of AI‑driven technologies and make meaningful contributions to real‑world applications.

This role is based in our NYC office and follows a hybrid working policy with 3 days in office.

What You’ll Be Doing

• Design and build production-grade backend services and pipelines that carry data reliably from ingestion to downstream consumers.
• Design and operate data exchange interfaces for external customers: APIs, exports, and delivery mechanisms that meet reliability, security, and contractual requirements.
• Make architectural decisions balancing cost, reliability, and throughput across distributed systems.
• Build resilient infrastructure with smart retries, backoff strategies, dead-letter handling, and failure recovery.
• Participate in end-to-end observability: structured logging, metrics, alerting, and on-call.
• Collaborate cross-functionally to integrate new data sources and serve evolving platform needs.
• Set technical direction and raise the bar on code quality, testing, and system design.

Qualifications

• 5+ years building and operating production backend or data platform systems.
• Strong distributed systems fundamentals: event-driven architectures, async processing, message queues.
• Experience with AWS: SQS/SNS, Kafka, Lambda, ECS, S3, and EventBridge.
• SQL and NoSQL database experience (PostgreSQL, DynamoDB).
• Experience designing systems with robust error handling, idempotency, and reliable delivery guarantees.
• Comfortable working across languages; our stack is Python and TypeScript and you'll be expected to be productive in both.
• Experience mentoring mid/junior engineers and raising the technical bar across a team.

Nice to Have

• Experience with pipeline orchestrations.
• Background in web scraping or data acquisition at scale.
• Familiarity with vector databases or ML-adjacent infrastructure (embeddings, inference endpoints).
• Experience with big data, especially with AI/ML platforms and use-cases.
• Infrastructure as Code experience (Terraform).
• Ability to partner with product, AI, BI, and data science teams as a technical thought partner, translating business and analytical needs into data platform decisions.
• Experience working across time zones in distributed teams, with a track record of defining collaboration rhythms (communication standards, documentation practices, and ceremonies) that keep geographically dispersed teams aligned.

About Bluefish:

Bluefish believes that AI represents the next major chapter of the internet – and that consumers will increasingly use AI to consume information and media online. On this new AI internet, brands will need new tools and technologies to tell their stories to consumers online – and a new marketing ecosystem will be created around AI. Bluefish is building the platform that helps brands engage consumers on this new AI channel, with powerful enterprise tools to manage AI brand safety and engage consumers with thoughtful and personalized AI marketing experiences. 

The Bluefish team is a tight-knit group of mar-tech industry veterans who previously helped build foundational ad-tech platforms now owned by Meta and Microsoft. Bluefish, the leading AI marketing platform for the Fortune 500, recently announced a $43 million Series B growth financing co-led by Threshold Ventures and NEA with participation from multiple enterprise investors including Amex Ventures, TIAA Ventures, Salesforce Ventures, and continued participation from Bloomberg Beta. We are a globally distributed team, with business operations based in New York City and engineering based in Europe and New York.  

Why Bluefish & Our Values:

• Unique opportunity to join on the ground floor of a fast-moving startup building at the center of AI 
• Tackle challenging and abstract problems while disrupting the $300BN legacy mar-tech industry 
• Join an experienced high-performing team where you will have immediate ownership and impact 
• Experience a true meritocracy with significant career growth upside as the business scales 

Our Values:

• Demonstrated grit and resourcefulness - you find creative solutions, adapt quickly, and aren’t afraid to roll up your sleeves in a fast-paced, evolving environment.
• Thoughtful and strategic thinker with the ability to anticipate needs, ask the right questions, and deliver insights that truly drive value.
• Proven ability to collaborate across functions and roles, fostering open communication and shared ownership of outcomes.
• Commitment to craftsmanship - you take pride in delivering high-quality work, paying attention to the small details while keeping the big picture in mind.
• Self-starter with a proactive mindset and a strong sense of accountability - able to drive projects forward independently while staying aligned with team goals.
• Comfortable navigating ambiguity and learning new tools, processes, or technologies to get the job done.

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.

The Application Framework team at Octus owns the foundational platform — APIs, SDKs, and shared services — that powers application development across the organization. We're looking for a Software Engineer who enjoys solving platform problems, shipping high-quality code, and making other engineers more productive. AI is central to how we work — our team uses AI tooling throughout the entire development lifecycle, from design through code review. This isn't experimental or optional. If you're excited about building with AI as a core part of your workflow, you'll fit right in.

Build & Ship

• Contribute to projects and shared SDKs from design through production, making pragmatic tradeoffs between speed and quality
• Contribute to shared SDKs and libraries used across the organization
• Write meaningful tests — unit, integration, and contract — that give confidence to ship
• Grow toward owning larger initiatives independently over time

Collaborate & Learn

• Participate in code reviews, giving and receiving feedback that improves quality
• Collaborate with teammates through pairing, design discussions, and knowledge sharing
• Contribute to technical discussions, architecture decisions, and sprint planning

Operate & Support

• Help monitor, troubleshoot, and improve production systems in distributed environments
• Investigate and resolve technical issues systematically
• Maintain technical documentation — architecture, API specs, runbooks, and coding guidelines

Required Qualifications

• Comfortable using AI tools (e.g., copilots, code generation, AI-assisted review) as a primary part of your daily engineering workflow — not as a novelty, but as a default
• 3+ years in software engineering, with experience building backend systems, APIs, or SDKs
• Strong backend fundamentals — willing to pick up any language quickly, and go deep on C#
• Experience working with cloud-based systems (AWS preferred)
• Solid understanding of relational databases (PostgreSQL or similar)
• Familiarity with distributed systems and event-driven patterns (Kafka, RabbitMQ, or similar)

Preferred Qualifications

• Experience with multiple backend languages (C#, Python, PHP)
• Exposure to both PostgreSQL and MySQL
• Experience with caching layers (Redis or equivalent)
• Experience with CI/CD pipelines and infrastructure as code
• Interest in building internal developer tools or platforms

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 base salary range estimate for this position is $150,000 - $175,500. This position is also eligible for an annual discretionary bonus.

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

#LI-Hybrid

P15407_3389736

The Opportunity

Auth0’s platform is the front door for thousands of customers and millions of users. On the Platform Engineering team, we build the resilient foundations that enable customers to rely on Auth0 for always-on authentication and authorization services.

As the Senior Manager of Data Streaming Services, you will lead the evolution of our streaming data backbone across a multi-cloud footprint. You will oversee multiple engineering teams dedicated to making data streaming seamless, reliable, and high-performance. This is a "manager of managers" role requiring a blend of strategic foresight, execution rigor, and technical grit. You will set the vision for our streaming services, mentor high-performing teams, and take accountability for our service uptime guarantees.

What you’ll achieve

• Lead a world-class team of teams. Oversee data streaming infrastructure and services that power our global platform across AWS and Azure.
• Own roadmap and execution. Partner with product and stakeholder teams to define the team's strategy and prioritized roadmap.
• Drive engineering excellence. Set high standards of quality, reliability, and operational robustness, championing best practices in software development, from code reviews to observability and incident management.
• Lead an automation-first culture. Reduce operational friction and ensure infrastructure is self-healing and code-defined. Draw efficiency from AI-assisted development.
• Act as a technical leader. Lead response on incidents for services under ownership and help teams navigate complex distributed systems failures.

What you’ll bring

• Proven engineering leadership, building and leading teams of teams. Experience coaching Staff+ engineers and engineering managers.
• Strong technical and architectural acumen. Background in building scalable, distributed systems. Comfortable participating in and guiding technical discussions.
• Strong project management skills. Expertise in creating technical roadmaps, prioritizing effectively in an agile environment, and managing complex project dependencies.
• Collaborative leadership style, adapted to remote ways of working. Excellent written and verbal communication skills to build strong relationships with stakeholders and inspire others.

Bonus Points

• Experience developing data-intensive applications in a modern programming language such as go, node.js, or Java.
• Experience with databases such as PostgreSQL and MongoDB.
• Experience with distributed streaming platforms like Kafka.
• Familiarity with concepts in the IAM (Identity and Access Management) domain.
• Experience with cloud providers (AWS, Azure), container technologies such as Kubernetes and Docker, and observability tools such as Datadog.
• Experience building reliable, high-availability platforms for enterprise SaaS applications.

#LI-Hybrid

P15407_3389736

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

While previous experience in the trading and finance industry is beneficial, we’re looking for talented software engineers with or without industry-specific expertise. We are open to remote workers for this role with the correct set of skils.

UP (Unified Platform) consolidates data and technologies into a comprehensive solution, accelerating time to market. Optimizing decision-making and research, our platform simplifies implementing new ideas, enhancing our competitive edge.

UP - PI (Platform Infrastructure) Writes and operates systems that accelerate other development teams. They provide managed services to technologists across all of DRW, helping domain experts focus on their business-critical goals. They create software to connect people, projects, and information, preventing silos and opacity.

For the appropriate candidate, we are open to remote employees for this role.

Expectations:

• Write, maintain, operate and improve managed infrastructure services for technologists firm-wide
• Design and communicate standards for how centrally managed services can be used
• Support internal technologists with triage, education, and consulting
• Write, maintain, operate, and improve bespoke applications for internal use, focused on visibility and integration across teams.
• Enable other teams to focus on business domains.
• Influence outcomes through dozens of software teams.
• Broadcast contagious passion for developer experience.
• Consolidate diverse and redundant approaches to common problems.

Desirable Experience:

• Three or more years of high impact contributions in Software Engineering, DevOps, SRE, Platform Engineering or adjacent roles
• Expertise in operating infrastructure at scale
• Expertise in Kubernetes, Apache Airflow, Kafka, Redis
• Proficiency in at least one of Python, Go, Java, Ruby
• Comfort deploying software to the cloud and on-premises
• Proven success in elevating standards for non-functional requirements like security, observability, reliability, and speed of delivery
• Informed perspective about AI Agents as development tools
• Record of accomplishment of enhancing the capabilities of other engineers and teams

The annual base salary range for this position is $100k to $175k depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-SK1] 

The Role: 

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

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

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

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

Qualifications:

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

Preferred Skills (Nice-to-Have)

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

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

The Role: 

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

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

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

Responsibilities:

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

Qualifications:

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

Preferred Skills (Nice-to-Have)

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

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

The Role: 

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

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

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

Responsibilities:

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

Qualifications:

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

Preferred Skills (Nice-to-Have)

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

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

About the Role:

We're looking for an experienced engineer with deep expertise in distributed data systems to shape the future of Gusto's storage layer. You'll manage complex migrations, architect high-scale systems, and set standards for automation, resiliency, and security. This is a high-impact role where you'll implement distributed database solutions that enable Gusto's continued growth and scale.

About the Team:

The Datastores Infrastructure Engineering team designs, builds, and operates the data platforms that power Gusto's product: MySQL, Postgres, Redis, Kafka, and S3. We ensure our infrastructure is consistent, reliable, and ready to support Gusto's growing needs. As we transition to self-hosted distributed databases, the team is focused on reducing blast radius, improving operational resilience, and enabling sustainable scale.

Here’s what you’ll do day-to-day:

• Architect, deploy, and own the full lifecycle of distributed database systems (TiDB) on Kubernetes at scale, ensuring high availability, data consistency, and operational excellence
• Coordinate complex, zero-downtime migrations from monolithic to distributed architectures, including vertical sharding to isolate Product Services
• Define and drive efficiency improvements across the storage infrastructure through query optimization, caching strategies, and workload management
• Define standards and build reliable automation to ensure data consistency, integrity, and security across distributed systems
• Continuously improve operational excellence by reducing on-call burden through sustainable, long-term solutions
• Partner with product engineering teams and technical collaborators to enable rapid and reliable product development
• Mentor engineers across the Datastores Infrastructure team on best practices for operating complex, self-hosted distributed systems, actively developing our collective operational expertise

Here’s what we're looking for:

• 12+ years of software engineering experience building and scaling large-scale infrastructure systems
• Hands-on experience building and operating distributed databases on Kubernetes (strongly preferred: TiDB; alternatively: CockroachDB, Vitess, Citus, or similar solutions)
• Deep expertise in distributed data systems including horizontal sharding, partitioning strategies, and distributed transaction management
• Proven experience coordinating complex, zero-downtime migrations affecting production systems at scale
• 5+ years of AWS experience with RDS, Aurora, caching systems (Redis/ValKey), streaming platforms (Kafka), and infrastructure optimization at scale
• Strong communication skills with the ability to simplify technical complexity and collaborate on technical direction across teams
• Curiosity and ability to operate in an AI-native environment, leveraging AI tooling to enhance infrastructure operations, driving improvements in  query optimization, performance evaluation, and infrastructure automation
• Bonus: Experience with service extraction and vertical sharding from monolithic architectures
• Bonus: Experience working with Ruby on Rails or similar MVC frameworks at scale

Our cash compensation amount for this role is targeted at $200,000-$230,000 /yr in Denver & most remote locations, and $230,000-$270,000 /yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

The Role

Our commercial segment — companies with up to 250 employees — is predominantly developer- and engineer-led. These buyers don't respond to decks and discovery scripts. They respond to someone who speaks their language, understands their architecture, and can help them think through a real problem. That's who we're hiring.

As a Commercial Account Executive at ClickHouse, you'll own the full sales cycle for inbound, product-led, and self-serve accounts in this segment. You'll engage with data engineers, platform teams, and technical founders at the moment they're evaluating ClickHouse for a real use case — and your job is to help them succeed, faster. The best deals in this segment don't feel like sales. They feel like an engineering consultation that ends in a contract.

Our commercial customers include companies like Circle, Flashbots, Blockworks, Cypress.io, Kit, Whop, Coframe, Shaped, and janitorai — developer-first products that chose ClickHouse because they needed something that could handle billions of events without slowing down their users. The best deals in this segment don't feel like sales. They feel like an engineering consultation that ends in a contract.

This is a role for technically strong people who are ready to own a number. Prior closing experience is not required — but technical credibility is non-negotiable.

What You Will Be Doing

• Own the full sales cycle from inbound lead to close for accounts in the sub-250 employee segment, with a focus on speed, technical depth, and conversion quality.
• Engage directly with data engineers, platform architects, and technical founders to understand their use cases, data volumes, query patterns, and infrastructure requirements — and map those to ClickHouse capabilities.
• Troubleshoot schema design questions, ingestion patterns, and integration challenges during the evaluation process; serve as a trusted technical advisor rather than a traditional sales rep.
• Identify expansion opportunities within the existing self-serve and product-led customer base; convert usage signals into meaningful commercial relationships.
• Partner with Solutions Engineers on more complex evaluations, and advocate for customer needs internally with Product and Engineering.
• Maintain rigorous pipeline hygiene — documenting technical context, decision criteria, stakeholders, and next steps in Salesforce so nothing falls through the cracks.
• Contribute to playbooks, technical objection handling guides, and onboarding materials that help the team scale what's working.
• Participate in developer community events, technical meetups, and online forums where our users naturally gather.

What You Bring

• A technical foundation that earns respect in engineering conversations — built through experience as a data engineer, solutions engineer/architect, software engineer, or similar role.
• Comfort with the modern data stack: columnar databases, streaming ingestion (Kafka, Kinesis), cloud infrastructure, and SQL-heavy analytics workflows. Hands-on experience with ClickHouse, DuckDB, Druid, Pinot, BigQuery, Snowflake, or similar is a strong plus.
• Some customer-facing experience — whether in pre-sales, technical account management, solutions engineering, or a customer-success capacity. You've navigated technical conversations with real stakes before.
• An instinct for moving quickly. This segment runs on short cycles. You know how to drive urgency without being pushy, and how to remove technical blockers that stall deals.
• Strong written and verbal communication. You can simplify complex concepts without dumbing them down, and you write clearly enough that your emails actually get responses from engineers.
• Curiosity about the business side of technology. You're interested in understanding why companies buy, not just what they're building.
• Ownership mentality. You're comfortable operating with autonomy, making judgment calls without a playbook, and learning from what doesn't work.

Why This Role Is Different

Most AE roles are execution roles. This one is a craft role. You'll build deep product knowledge, learn how high-growth companies architect for scale, and develop commercial skills in an environment where your technical instincts are your biggest competitive advantage. For the right person, this is a rare opportunity to bridge two worlds — and get paid competitively to do it.

About the Role:

We are looking for a Senior Software Engineer to architect, build, and maintain the data infrastructure at Gusto.  As part of the Data Platform team, you will collaborate closely with Data Science, Business Intelligence, and analysts across Gusto teams to help them achieve their goals. 

The Data Platform position is a software development role with knowledge of data architectures and data delivery. The ideal candidate is passionate about developing software, working with data, and

Here’s what you’ll do day-to-day:

• Architect, build, and refine our infrastructure and tools that enable other teams to work with data.
• Efficiently handle vast amounts of clickstream, database, and third party application data, processing in batch and real-time
• Take full ownership of the solutions you build, working with stakeholders to develop requirements, implement solutions, monitor production, and troubleshoot problems that arise.
• Work as part of a team. We value team players who share their knowledge and like collaborating with others.

Here’s what we're looking for:

• • At least 7 years of software engineering experience.
  • Experience building solutions in the cloud, AWS preferred (Redshift, MSK, EMR).
  • Experience with OLAP databases (Clickhouse)
  • Experience building data pipelines at scale, Airflow and Python preferred.
  • Experience with streaming systems desired (Kafka, Kinesis, or similar).
  • Ability to turn vague requirements into clear deliverables with minimal guidance.
  • Experience building and maintaining a modern data stack in production.

Our cash compensation amount for this role is targeted at $163,000-$204,000/year in Denver, $178,000-$223,000/year in Los Angeles, and $197,000-$247,000/year for San Francisco, New York, and Seattle. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 38 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.

We’re looking for a Data Engineer II to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Data Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform- one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. 

A brief highlight of our tech stack:

• SQL / Python / Looker / Snowflake / dbt

What you'll do:

• Build a scalable data system in which Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner 
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• Develop and maintain data pipelines to collect, clean, and transform data (owning end to end data product from ingestion to visualization)
• Develop and implement data analytics models
• Partner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems
• Have a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR

What you're great at:

• 4+ years of data engineering experience
• Working with cloud-based application development, and be fluent in at least a few of: 
• Cloud services providers like AWS
• Data pipeline orchestration tools like Airflow, Dagster, Luigi, etc
• Big data tools like Spark, Kafka, Snowflake, Databricks, etc
• Collaboration, integration, and deployment tools like Github, Argo, and Jenkins 
• Data visualization tool like Looker, Tableau, etc
• Articulating technical concepts to a mixed audience of technical and non-technical stakeholders
• Collaborating and mentoring less experienced members of the team
• Comfort with ambiguity 
• Curiosity about technology, believe in constant learning, and ability to be autonomous to figure out what's important

How You’ll be Rewarded:

At CLEAR, we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members motivated by our mission of making experiences safer and easier. Our offices are bright and energetic with an open concept and plenty of conference rooms and casual co-working spaces. We also offer catered lunches every day and have fully stocked kitchens. Outside of the office, we invest in your well-being and learning & development with stipends and reimbursement programs. 

We offer holistic total rewards, including comprehensive healthcare plans, family-building benefits (fertility and adoption/surrogacy support), flexible time off, annual wellness stipend, free OneMedical memberships for you and your dependents, a CLEAR Plus membership, and a 401(k) retirement plan with employer match. The total compensation range for this role is $180,000-$220,000, depending on levels of skills and experience.

This range represents the combined base salary and new hire equity package (in Restricted Stock Units) for this position at CLEAR. Additionally, this role will be eligible for refresh equity grants as part of our ongoing compensation program. Actual compensation will vary based on factors including, but not limited to, location, education, skills, experience, and performance. All stock based compensation will be subject to the terms and conditions of applicable agreements.

CLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.

We are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.

#LI-Onsite

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

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: Staff Data Engineer

The Data team is responsible for designing and operating the data infrastructure that powers insight, reporting, analytics, and machine learning across the business. As a Staff Data Engineer, you will lead architectural initiatives, mentor others, and build high-scale systems that impact the entire 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.

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

Responsibilities:

• Lead the architecture, design, and implementation of data infrastructure and pipelines, spanning both batch and real-time / streaming workloads
• Build and maintain scalable, efficient, and reliable ETL/ELT pipelines using languages and frameworks such as Python, SQL, Spark, Flink, Beam, or equivalents
• Work on real-time or near-real-time data solutions (e.g. CDC, streaming, micro-batch) for use cases that require timely data
• 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
• 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:

• 8+ 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 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 pay
• 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 $168,000 - $240,000 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

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: Customer Support (Ledger Operations)

As a team within the Support group, the team is data driven and customer-centric. Team members work closely with data scientists, engineers, product managers, and corporate operational stakeholders to reconcile data. Projects range from the very urgent, short sprint to redesigning long-term solutions to improve scalability and automation. Ledger Operations primary goal is to ensure high quality, scalable data reconciliation with proactive monitoring and reducing delays for reactive corrections. This team is responsible for building the “next generation” of reconciliation tools to maintain and expand Gemini’s internal reconciliation processes. 

The Role: Senior Ledger Operations Engineer

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

Responsibilities:

• Build and maintain API adapters for Gemini trade data
• Design and optimize data pipelines for ledger operations
• Automate ETL (Extract, Transform, Load) processes
• Optimize SQL queries and database performance
• Contribute to the next generation of ledger reconciliation processes and reporting
• Collaborate with third-party vendors, Data Analytics team, and Cryptocore engineers
• Support data processing for the blockchain reconciliation project
• Develop and maintain data adapters for real-time data processing
• Create and implement data validation processes
• Develop customized reporting solutions
• Investigate and identify root causes of exception reports

Minimum Qualifications:

• 5+years implementing a reconciliation system while improving existing data pipelines
• Experience building real-time data solutions, data-lake and data warehousing technologies
• Experience building and integrating web analytics solutions
• Advanced SQL skills is a must
• Experience with gRPC, Websocket and REST API 
• Experience and expertise in Databricks, Spark/PySpark, Kafka streaming, Apache Flink, Airflow, Hadoop etc.
• Skilled in programming languages Python, Scala, Rust or Go
• Experience with one or more MPP databases(Redshift, Timescale,  StarRock)
• Able to identify gaps in existing reconciliation processes
• Extensive ETL and database experience with financial transaction systems for (banking systems, exchange systems)
• Experience with Datadog, cloudwatch or other alert monitoring systems

Preferred Qualifications:

• Financial certifications are not required, but encouraged. Understanding the regulatory landscape in traditional financial markets will lend well as the digital asset space evolves
• Financial Reporting Requirements for publicly traded companies

• Competitive starting pay
• 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 $126,000 - $180,000 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

The Team:

The Engineering Foundation team is a newly formed team responsible for ensuring the overall architecture supports the company’s rapid growth and provides an excellent experience for all CookUnity users.

We’re undertaking a large re-architecture of many systems across the engineering stack, and we’ll shape (and build) the future frameworks, technologies, and patterns for the rest of the engineering org to leverage.

The Role:

This is a rare opportunity to work at a rapid growth scaleup company and build on an entirely net new system to set the engineering foundation and principles across the org.

As a Staff Data Engineer on the Engineering Foundation team, you’ll play a critical role in defining the direction for the future of CookUnity’s data engineering architecture. You will design & build net new data pipelines and systems that form the future base of our B2C data engineering stack, and set in place best practices and patterns for the entire CookUnity data engineering org to adopt.

We’re looking for someone excited about the prospect of taking an existing product that’s growing rapidly and helping to rebuild key components of our system. This will help set CookUnity up to scale gracefully for our next years of rapid growth, reduce overall system complexity, enable greater product experimentation, and enable product teams to build incredible features faster.

Responsibilities:

• Design and build net new resilient batch and real-time data pipelines that power critical products and drive rapid business growth.
• Design and build data pipelines facilitating the migration from existing disparate data models and data sources, into new data models and databases in production.
• Champion data reliability and performance by implementing proactive monitoring and quality-first engineering practices.
• Optimize data models to support fast, efficient decision-making across high-impact product and business use cases.
• Partner closely with product, engineering, and data science teams to quickly translate evolving business needs into scalable, production-ready data solutions.
• Shape the future of data engineering at scale, helping define the long-term roadmap and setting best practices as we grow.
• Coach and level up teammates, fostering a culture of learning, ownership, and continuous improvement.
• Demonstrate strong self-direction and thrive in environments with high ambiguity, making sound decisions even when clear solutions are not readily apparent.

Qualifications:

• 7+ years of relevant industry experience.
• Proficient in Java, Scala, or Python, with deep expertise in data processing tech and in writing complex SQL queries.
• Proven track record of driving innovation within highly technical, distributed teams. You have driven complex projects to completion and are motivated by solving high-impact problems and building for the best user UX.
• Proven track record in designing, building, and operating robust distributed data platforms (e.g., Snowflake, Spark, Flink, Kafka), and handling large data sets.
• Demonstrable experience of building, productionalizing, and optimizing real-time and batch data pipelines.

Preferred Requirements:

• Experience designing data architectures to power a variety of use cases, including enabling experimentation
• Be opinionated on engineering best practices and help contribute to our strong engineering culture.
• Experience with cloud-native technologies (Kubernetes, containers, etc).
• Past experience working in a rapid growth company or an early stage startup environment.
• A passion for food!

Benefits:

💸 Get paid in USD

🗺 Work remotely: design the life that you want

⛱ Enjoy 15 days of vacation each year from the start date

🎄 16 fully paid Argentinean holidays

🩺 Healthcare Benefit: Monthly stipend to use in your preferred healthcare provider

🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical

🐣 Paid Family leave

🕯 Compassionate Leave: 3-5 days each time the need arises

🧘🏽‍♀️ Customize the benefits that suit your needs! Access a range of perks tailored to you, including learning opportunities, wellness memberships, delivery apps, and more through our comprehensive benefit platform

🧑‍🏫 Personalized English coach

Learn More About CookUnity:

We believe great leadership starts with alignment on vision, values, and ways of working. To give you deeper insight into who we are and what we’re looking for, we invite you to explore: CookUnity's Leadership Principles – The values and behaviors that guide how we operate, collaborate, and scale.

We hope this provides valuable insight into our culture and product vision. If this excites you, we’d love to connect!

About the Role

As the Director, Data & Analytics Engineering, you will lead a team of Data and Analytics Engineers building the data foundation of the Charlie Health Operating Model, an AI-first model where the warehouse is no longer a passive reporting layer, but the substrate of our World  Model: a continuously updated, causal representation of every patient, provider, payor, and operational signal in our ecosystem.

You will own the pipelines, schemas, and storage systems that fuel both human and machine consumers, powering our 1,600+ dbt models, our real-time Intelligence Layer, and the agentic systems composing interventions on top of it. You will push us beyond Snowflake batch cycles into event-driven signal graphs that detect drift the moment a cohort's trajectory diverges from baseline, and you will architect the semantic retrieval surfaces that make our long-form clinical and operational artifacts AI-ready.

This is a hands-on, Player-Coach leadership role. You will set the technical vision, run sprint ceremonies and roadmap planning, mentor ICs and a Data Engineering Manager, support DRIs running cross-cutting 90-day missions, and stay close enough to the code to make sharp architectural calls and unblock the team. You will partner with leaders across ML, Data Science, BizOps, Product, and Engineering and own the shape of the data model architecture that the next decade of Charlie Health is built on.

We're a team of passionate, forward-thinking professionals eager to take on the behavioral health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the idea that the distance between identifying an operational friction and shipping a clinical intervention should be measured in days rather than months, apply today.

Responsibilities

• Own the warehouse and pipeline architecture that powers the Charlie Health World Model, the causal, continuously updated representation of our ecosystem that fuels reporting, product analytics, and the agentic Intelligence Layer
• Drive the long-term roadmap for AI-ready data: real-time signal graphs beyond batch cycles, schema-validated event flows, and semantic retrieval surfaces for transcripts, notes, and other long-form artifacts
• Define and execute a vision for scalable data model architecture in Snowflake, evolving 1,600+ existing dbt models toward extensible, well-governed, agent-consumable patterns
• Partner with Machine Learning, Data Science, Engineering, Product, and BizOps to align data initiatives with company priorities and unlock new opportunities, particularly the agentic capabilities riding on top of the World Model
• Lead execution end-to-end: sprint ceremonies, roadmap planning, and prioritization, with the discipline to keep a growing team shipping high-quality, reliable solutions on schedule
• Oversee data integrity, documentation, testing, monitoring, and provenance across systems so that stakeholders, human and agent, can trust and self-serve on our data
• Guide and contribute to architecture and design decisions across our stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau), and resolve critical technical issues as a hands-on technical leader
• Own the data infrastructure that powers company-wide KPI reporting, ad hoc analysis, product analytics, and dashboard development, ensuring the underlying models, pipelines, and semantic layer enable downstream teams to deliver clear, accurate insights as business questions evolve
• Drive reliability, scalability, observability, security, and cost-efficiency improvements across the data stack, including the PHI gatekeeping and HITRUST-aligned patterns that govern signal ingestion
• Identify bottlenecks and implement improvements to team workflows, tools, and development practices
• Manage and mentor a growing team of Data and Analytics Engineers and one Data Engineering Manager. Operate as a Player-Coach: focus on craft, mentorship, high-leverage code review, and supporting DRIs running 90-day cross-cutting missions
• Establish metrics that track progress, communicate priorities, and demonstrate business impact
• Define and maintain data governance standards and proactively manage stakeholder expectations to drive scalable, trusted data use

Requirements

• 10+ years of data or analytics engineering experience, with 4+ years managing and mentoring data and analytics engineers, with a focus on execution and delivery
• Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization across multiple workstreams
• Hands-on background building and maintaining ELT pipelines using SQL, dbt, and OLAP databases like Snowflake
• Proficiency in Python (preferred) or another language strong enough to guide and review technical work
• Experience with workflow orchestration tools like Dagster, Airflow, or Prefect
• Skilled at building scalable reporting solutions in Tableau or Hex and enabling self-serve analytics across the organization
• Strong data modeling, provenance, and governance skills to support extensible, trusted, and consistent reporting and patterns
• Track record of improving team processes, optimizing workflows, and delivering measurable impact
• Effective cross-functional partner with Machine Learning, Data Science, Product and Engineering, aligning data work with business goals
• Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders
• Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions
• Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture
• This role requires 4 days per week in our NYC office (Flatiron District)

Nice to Haves

• Familiarity with healthcare data standards (HIPAA, FHIR, HITRUST)
• Experience with AWS cloud technologies
• Experience working in a startup environment
• Exposure to event-driven architectures (EventBridge, Kafka, CloudEvents) and JSON Schema registries
• Familiarity with vector stores (Pgvector, Pinecone) and patterns for semantic retrieval over operational data
• Experience supporting ML or agentic AI workloads as a data consumer — designing schemas, features, or context surfaces that downstream models and agents rely on
• Awareness of LLMOps tooling and what it takes to keep AI systems observable and PHI-safe

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

Additional Information

The total target base compensation for this role will be between $250,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.  #LI-HYBRID

About the Role

As the Director, Data & Analytics Engineering, you will lead a team of Data and Analytics Engineers building the data foundation of the Charlie Health Operating Model, an AI-first model where the warehouse is no longer a passive reporting layer, but the substrate of our World  Model: a continuously updated, causal representation of every patient, provider, payor, and operational signal in our ecosystem.

You will own the pipelines, schemas, and storage systems that fuel both human and machine consumers, powering our 1,600+ dbt models, our real-time Intelligence Layer, and the agentic systems composing interventions on top of it. You will push us beyond Snowflake batch cycles into event-driven signal graphs that detect drift the moment a cohort's trajectory diverges from baseline, and you will architect the semantic retrieval surfaces that make our long-form clinical and operational artifacts AI-ready.

This is a hands-on, Player-Coach leadership role. You will set the technical vision, run sprint ceremonies and roadmap planning, mentor ICs and a Data Engineering Manager, support DRIs running cross-cutting 90-day missions, and stay close enough to the code to make sharp architectural calls and unblock the team. You will partner with leaders across ML, Data Science, BizOps, Product, and Engineering and own the shape of the data model architecture that the next decade of Charlie Health is built on.

We're a team of passionate, forward-thinking professionals eager to take on the behavioral health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the idea that the distance between identifying an operational friction and shipping a clinical intervention should be measured in days rather than months, apply today.

Responsibilities

• Own the warehouse and pipeline architecture that powers the Charlie Health World Model, the causal, continuously updated representation of our ecosystem that fuels reporting, product analytics, and the agentic Intelligence Layer
• Drive the long-term roadmap for AI-ready data: real-time signal graphs beyond batch cycles, schema-validated event flows, and semantic retrieval surfaces for transcripts, notes, and other long-form artifacts
• Define and execute a vision for scalable data model architecture in Snowflake, evolving 1,600+ existing dbt models toward extensible, well-governed, agent-consumable patterns
• Partner with Machine Learning, Data Science, Engineering, Product, and BizOps to align data initiatives with company priorities and unlock new opportunities, particularly the agentic capabilities riding on top of the World Model
• Lead execution end-to-end: sprint ceremonies, roadmap planning, and prioritization, with the discipline to keep a growing team shipping high-quality, reliable solutions on schedule
• Oversee data integrity, documentation, testing, monitoring, and provenance across systems so that stakeholders, human and agent, can trust and self-serve on our data
• Guide and contribute to architecture and design decisions across our stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau), and resolve critical technical issues as a hands-on technical leader
• Own the data infrastructure that powers company-wide KPI reporting, ad hoc analysis, product analytics, and dashboard development, ensuring the underlying models, pipelines, and semantic layer enable downstream teams to deliver clear, accurate insights as business questions evolve
• Drive reliability, scalability, observability, security, and cost-efficiency improvements across the data stack, including the PHI gatekeeping and HITRUST-aligned patterns that govern signal ingestion
• Identify bottlenecks and implement improvements to team workflows, tools, and development practices
• Manage and mentor a growing team of Data and Analytics Engineers and one Data Engineering Manager. Operate as a Player-Coach: focus on craft, mentorship, high-leverage code review, and supporting DRIs running 90-day cross-cutting missions
• Establish metrics that track progress, communicate priorities, and demonstrate business impact
• Define and maintain data governance standards and proactively manage stakeholder expectations to drive scalable, trusted data use

Requirements

• 10+ years of data or analytics engineering experience, with 4+ years managing and mentoring data and analytics engineers, with a focus on execution and delivery
• Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization across multiple workstreams
• Hands-on background building and maintaining ELT pipelines using SQL, dbt, and OLAP databases like Snowflake
• Proficiency in Python (preferred) or another language strong enough to guide and review technical work
• Experience with workflow orchestration tools like Dagster, Airflow, or Prefect
• Skilled at building scalable reporting solutions in Tableau or Hex and enabling self-serve analytics across the organization
• Strong data modeling, provenance, and governance skills to support extensible, trusted, and consistent reporting and patterns
• Track record of improving team processes, optimizing workflows, and delivering measurable impact
• Effective cross-functional partner with Machine Learning, Data Science, Product and Engineering, aligning data work with business goals
• Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders
• Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions
• Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture
• This role requires 4 days per week in our NYC office (Flatiron District)

Nice to Haves

• Familiarity with healthcare data standards (HIPAA, FHIR, HITRUST)
• Experience with AWS cloud technologies
• Experience working in a startup environment
• Exposure to event-driven architectures (EventBridge, Kafka, CloudEvents) and JSON Schema registries
• Familiarity with vector stores (Pgvector, Pinecone) and patterns for semantic retrieval over operational data
• Experience supporting ML or agentic AI workloads as a data consumer — designing schemas, features, or context surfaces that downstream models and agents rely on
• Awareness of LLMOps tooling and what it takes to keep AI systems observable and PHI-safe

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

Additional Information

The total target base compensation for this role will be between $250,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.  #LI-HYBRID

The Role:

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

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

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

Responsibilities:

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

 Qualifications:

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

Preferred Qualifications:  

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

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

The Role:

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

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

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

Responsibilities:

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

 Qualifications:

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

Preferred Qualifications:  

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

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

The Role:

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

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

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

Responsibilities:

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

 Qualifications:

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

Preferred Qualifications:  

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

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

The Role: 

The Role: 

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

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

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

Responsibilities:

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

 Qualifications:

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

Preferred Qualifications:  

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

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