About Scale

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.

About Data Engine

Our Generative AI Data Engine powers the world’s most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

Our Approach 

As part of the interview process, you’ll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale’s AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale.

Responsibilities:

• Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers
• Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal
• Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions
• Own core systems critical to our contributor platform, with direct impact on Scale’s GenAI data pipeline and business outcomes
• Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency
• Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence
• Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements

Requirements:

• 5+ years of software engineering experience, ideally in high-growth, product-focused environments
• Proven track record of shipping production systems at scale
• Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability.
• Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling
• Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal
• Strong product sense and ability to translate ambiguous problems into technical solutions
• Comfortable working in a fast-paced, high-ownership environment with a bias toward execution
• Excited to join a dynamic hybrid team based in San Francisco or New York City

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition.

At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems.  You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.

You will:

• Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements.
• Collaborate with cross-functional teams to define, design, and deliver new features.
• Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades.
• Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.
• Provide technical leadership, including: upholding and upleveling engineering standards across the organization, mentoring junior engineers. 

Ideally you’d have:

• 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems.
• Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.).
• Show a track record of mentoring and leading teams in successful projects.
• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
• Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings.
• Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems.
• Experience driving cross functional collaboration and communication at an organizational or broader level. 

Nice to haves:

• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).
• Experience with performance tuning and cost optimizations of cloud based data platforms. 
• Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs.  
• Experience scaling products at hyper-growth startups.
• Excitement to work with AI technologies.

About Lineate

Lineate is a US-based international software development company with over two decades of experience.

From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.

We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.

Our expertise falls into three main categories:

• Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
• Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
• Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
• Our goal is not just to build technology, but to build the future operating model for our clients.

Responsibilities

• Design, develop, and maintain scalable backend services using Java and Python
• Build and optimize data processing pipelines and APIs for high-performance applications
• Collaborate with cross-functional teams to deliver reliable and efficient solutions
• Improve system performance, scalability, and reliability
• Work with large datasets to support search, recommendation, or ML-driven features
• Contribute to architecture decisions and technical design
• Write clean, maintainable, and well-documented code

Requirements (Must-have)

• 6+ years of commercial software development experience
• Strong hands-on experience with both Java and Python (primarily PySpark code)
• Experience in designing, developing, and optimizing scalable data processing pipelines and backend APIs for high-performance applications
• Solid understanding of backend development principles and system design
• Experience working with APIs, microservices, and distributed systems

Nice-to-have

• Databricks OR AWS EMR OR Hadoop
• Search technologies experience, such as:

Lexical search (e.g., Solr, Elasticsearch)

Semantic search, vector search, or RAG-based systems

Search relevance tuning and optimization

• Machine Learning experience, especially in:

Recommendation systems

User behavior prediction (e.g., click-through rate prediction, relevance estimation)

Practical ML application in production systems

We offer:

• B2B contract with our US office
• NY working hours (at least 6 hours overlap)

About Lineate

Lineate is a US-based international software development company with over two decades of experience.

From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.

We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.

Our expertise falls into three main categories:

• Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
• Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
• Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
• Our goal is not just to build technology, but to build the future operating model for our clients.

Responsibilities

• Design, develop, and maintain scalable backend services using Java and Python
• Build and optimize data processing pipelines and APIs for high-performance applications
• Collaborate with cross-functional teams to deliver reliable and efficient solutions
• Improve system performance, scalability, and reliability
• Work with large datasets to support search, recommendation, or ML-driven features
• Contribute to architecture decisions and technical design
• Write clean, maintainable, and well-documented code

Requirements (Must-have)

• 6+ years of commercial software development experience
• Strong hands-on experience with both Java and Python (primarily PySpark code)
• Experience in designing, developing, and optimizing scalable data processing pipelines and backend APIs for high-performance applications
• Solid understanding of backend development principles and system design
• Experience working with APIs, microservices, and distributed systems

Nice-to-have

• Databricks OR AWS EMR OR Hadoop
• Search technologies experience, such as:

Lexical search (e.g., Solr, Elasticsearch)

Semantic search, vector search, or RAG-based systems

Search relevance tuning and optimization

• Machine Learning experience, especially in:

Recommendation systems

User behavior prediction (e.g., click-through rate prediction, relevance estimation)

Practical ML application in production systems

We offer:

• B2B contract with our US office
• NY working hours (at least 6 hours overlap)

About the role:

We are looking for an Engineering Manager to join our Provider Directory team. You will be leading a development team owning client-facing web UX, backend APIs, and data pipelines. You will collaborate closely with talented product, data, and design teams to build AI enhanced data ingestion systems and new product experiences.

Where you will work:

This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.

What you will do:

• Provide technical oversight and drive new features with a focus on Garner’s strategic mission
• Build a high-performance team by mentoring, providing feedback, and hiring
• Continuously strive for quality while maintaining speed of delivery
• Collaborate across disciplines by identifying bottlenecks and risks, proposing mitigation, and communicating tradeoffs
• Protect our users’ privacy and security through best practices

The ideal candidate has:

• 6+ years of hands-on engineering experience, with a track record of translating ambiguous business requirements into scalable solutions and new product features
• 2+ years of managing engineering teams, with a proven ability to inspire, motivate, mentor, and retain top engineering talent
• Familiarity with web application development, API design and cloud infrastructure like AWS
• Strong sense of ownership and proactive problem-solving mindset
• A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success
• Experience working in a rapidly evolving startup environment 
• A desire to be a part of our mission to improve the U.S. healthcare system
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Technologies we use: 

• Python, TypeScript, React, NodeJS, Kubernetes, Istio, Postgres, ElasticSearch, NATS, AWS, Terraform 

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

Compensation Transparency:

The target salary range for this position is $251,000 - $275,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.

About the role:

We are seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. This role will report to our VP, Engineering. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. 

Where you will work:

This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. 

What you will do:

• Build, optimize, and maintain data pipelines that power our business
• Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
• Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies
• Protect our users’ privacy and security through best practices

The ideal candidate has:

• 4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)
• Expertise in SQL, job experience, and demonstrated strength with Python
• Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
• Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), datalakes (especially Iceberg), data warehouses (especially Snowflake)
• Expertise with SQL tuning, Spark development, medallion and event-driven architectures. 
• Familiarity with healthcare or insurance
• Familiarity with data security and HIPAA compliance
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Technologies we use: 

• Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

Compensation Transparency:

The target salary range for this position is $180,000.00 - $220,000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.

About the role:

We are seeking an exceptional Engineering Manager to join and lead the team responsible for the systems that generate Garner’s national healthcare provider rankings. This role reports to the VP of Health Intelligence Engineering. The ideal candidate for this role should have a high sense of ownership, be comfortable mentoring engineers of all levels, have experience with distributed systems, and be able to reliably deliver complex technical solutions. 

Where you will work:

This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.

What you will do:

• Provide technical leadership and deliver new features aligned with Garner’s strategic objectives
• Own and manage the core systems responsible for generating provider rankings
• Maintain high standards of quality while driving efficient, timely delivery
• Balance the development of new capabilities with the need to scale and optimize existing systems
• Collaborate across disciplines by identifying bottlenecks and risks, proposing mitigation, and communicating tradeoffs
• Champion user data privacy and security across all data initiatives 
• Foster a high-performing, collaborative team culture through hands-on leadership, mentorship, and talent development

The ideal candidate has:

• 5+ years of hands-on engineering experience, with a focus on Big Data and distributed systems
• 1+ years of managing engineering teams, with a track record of building and mentoring high performing teams
• Expertise with batch data processing frameworks such as Hadoop, Spark, EMR, etc. 
• Proficiency with Big Data technologies such as Argo, Apache iceberg, AWS glue, Spark, Metaflow, DBT, and Soda
• Exhibits strong ownership and a proactive mindset, with a proven ability to translate complex business needs into scalable, actionable technical roadmaps
• Demonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational success
• Preference for managing healthcare data standards (e.g. HIPAA, EDI)
• A desire to be a part of our mission to improve the U.S. healthcare system
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Technologies we use: 

• Python, TypeScript, React, NodeJS, Kubernetes, Istio, Postgres, ElasticSearch, NATS, AWS, Terraform

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

Compensation Transparency:

The target salary range for this position is: $239,000 - $275,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.

About the role:

We are seeking an exceptional Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You’ll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance – e.g., answering questions like, how do we know which providers deliver better surgical outcomes or what data concepts do we need to build out to improve our analysis. Your work will directly impact our member recommendations and provider-facing data products.

Where you will work:

This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. 

What you will do:

• Partner with data scientists and clinical experts to shape how we define provider performance metrics, apply statistical rules, and model provider behavior
• Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors
• Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates.
• Design scalable data pipelines that ingest, clean, and enrich healthcare provider data.
• Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions.

The ideal candidate has:

• 2-5 years professional experience in data science, product analytics, and/or healthcare
• A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders
• Strong Python and SQL skills
• A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success
• Experience working in a rapidly evolving startup environment
• A desire to be a part of our mission to improve the U.S. healthcare system
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Technologies we use: 

• Python, TypeScript, React, NodeJS, Kubernetes, Istio, Postgres, ElasticSearch, NATS, AWS, Terraform

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.

Compensation Transparency:

The target salary range for this position is $160,000 - $185,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.

About the role:

We are seeking an exceptional Data Engineer II to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. 

Where you will work:

This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.

What you will do:

• Build, optimize, and maintain data pipelines that power our business
• Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
• Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies
• Protect our users’ privacy and security through best practices

The ideal candidate has:

• 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality).
• Expertise in SQL and Python
• Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
• Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake)
• Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry.
• Familiarity with healthcare or insurance
• Familiarity with data security and HIPPA compliance
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Technologies we use:

Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.

Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.

Compensation Transparency:

The target salary range for this position is $125,000-$165,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.

What You’ll Do:

Join CoreWeave’s Observability team, responsible for building the systems that give our customers and internal teams unparalleled visibility into complex AI workloads. Our team empowers engineers to understand, troubleshoot, and optimize high-performance infrastructure at massive scale.

About the role:
As a Senior Software Engineer on the Observability team, you will design, build, and maintain core observability infrastructure spanning metrics, logging, tracing, and telemetry pipelines. Your day-to-day will involve developing highly reliable and scalable systems, collaborating with internal engineering teams to embed observability best practices, and tackling performance and reliability challenges across clusters of thousands of GPUs. You’ll also contribute to platform strategy and participate in on-call rotations to ensure critical production systems remain robust and operational.

Who You Are:

• 5+ years of experience in software or infrastructure engineering with a focus on designing, building, and operating large-scale distributed systems in production.
• Proficient in Go or Python with experience writing clean, testable, and resilient production code.
• Hands-on experience with Kubernetes, containerization, and microservices architectures in production environments.
• Proven ability to design and deliver scalable, robust systems with high-quality code, automated testing, and progressive release strategies.
• Skilled in decomposing complex problems in distributed architectures into manageable, well-scoped work.
• Familiar with Helm and YAML-based configurations for deploying and managing services, including templating, automation, and infrastructure-as-code practices.
• Experience participating in on-call rotations for critical production systems.
• Bachelor’s degree in Computer Science, Electrical Engineering, Mathematics, or related field.

Preferred:

• Experience designing, operating, or scaling logging, metrics, or tracing platforms (e.g., Loki, ClickHouse, Elasticsearch, Prometheus, VictoriaMetrics, Grafana, Thanos).
• Familiarity with data streaming systems for observability pipelines (e.g., Kafka, Kafka Connect).
• Experience automating infrastructure provisioning using tools like Terraform.
• Knowledge of OpenTelemetry for unified telemetry collection and instrumentation.
• Exposure to modern AI workloads and GPU-based infrastructure, including large-scale training and inference.

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

• You love building systems that provide deep visibility into complex, high-scale environments.
• You’re curious about observability, telemetry, and platform performance at massive scale.
• You’re an expert in distributed systems and engineering resilient, scalable software.

Why CoreWeave?

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

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

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

The base salary range for this role is $139,000 to $220,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze and query in real-time billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, low latency, internet-scale footprint and operability. 

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do:

• Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments
• Write in Go, Java Rust or C++, amongst other languages
• Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components
• Own meaningful parts of our service, have an impact, grow with the company
  
  

Who You Are:

• 6+ years of experience
• You have a BS/MS/PhD in a scientific field or equivalent experience
• You have significant backend programming experience in one or more languages (Go, Java, Rust, C++) 
• You have been exposed to working on problems (high durability / low latency /…)
• You can get down to the low-level when needed
• You care about simple designs and performance
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output.
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products.

This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. 

Benefits and Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-LB1

Elastic is expanding its Sales Development team to support the explosive adoption of our offerings. Companies like Netflix, Lyft, Facebook, The New York Times, and Tinder (yeah, that Tinder) are looking to Elastic to help solve their big data problems. As a Sales Development Representative (SDR), you will play a critical role in the success of our sales organization by proactively identifying, nurturing, and creating new opportunities. Unlike most Sales Development organizations, we care about the quality of the interactions you have with our users more than the quantity of calls you make in a day. At Elastic, you will work with current users to understand their use case and help them navigate their Elastic journey.

We provide office space for in-person trainings, collaboration, and team building which is used by SDRs on average of 1-2 days per week depending on tenure, team, and preference. The in-person collaboration helps our SDRs to build stronger relationships and develop in a more collaborative and supportive environment.

What is The Role:

As an SDR organization, we spend most of our time finding new business to expand Elastic's presence in all market segments. Your responsibilities will include: 

• Collaborate with sales, marketing and our partner team to develop new strategies to build our sales pipeline and grow our business
• Balance the reactive work of responding to interested users with a creative and proactive approach to identify new opportunities
• Use Salesforce, Outreach, LinkedIn, and other prospecting tools to research accounts, identify key contacts and craft targeted messaging
• Learn our technology and effectively communicate our value proposition with a technical audience. Work to understand their goals and challenges to better understand how we can help

What You Bring:

There isn’t a cookie-cutter mold for who we hire, but there are some common qualities each member of our high-performing team possesses:  

• 0-1 years of SaaS sales experience 
• Willing to be in the New York City office a few days a week
• Open to feedback, genuinely curious and constantly looking for ways to learn and improve
• Genuine love of technology, with the ability to learn and communicate complex technical concepts - Don’t worry, we’ll give you a lot of resources!
• Not afraid to pick up the phone - this is the path to success!
• Hitting your monthly targets by being results oriented and focussed on achieving, through self discipline, creativity and passion
• Wanting to be a part of something bigger than yourself

Location: Remote 

Position Summary: 

Our Scalability team as a Senior Scalability Engineer focused on observability platform development and engineering productivity. In this role, you will define, own, and build Judi Health's organization-wide observability strategy, tooling, and platform products. Beyond maintaining infrastructure, you'll architect and develop a custom observability platform that gives engineering teams powerful, fast, and cost-effective visibility into every layer of our infrastructure—from application logs and metrics to distributed traces. You'll build production-grade internal products using React/TypeScript frontends with Python and Rust backends, creating tools that fundamentally improve how engineers at Judi Health debug, monitor, and optimize their systems. Working closely with leadership and cross-functional teams, your work will be foundational to platform stability, performance optimization, and developer productivity across our rapidly growing healthcare platform. 

Position Responsibilities: 

In this role, you'll own the observability infrastructure that powers our engineering organization. You will:  

• Architect observability platform: Design, implement, and maintain the LGTM stack (Loki, Grafana, Tempo, Mimir/Prometheus) as the primary observability platform across all engineering teams, making architectural decisions that balance cost, performance, and developer experience.
• Build internal observability products: Design and develop production-grade internal platform products with React/TypeScript frontends and Python/Rust backends that provide engineers with powerful log search, metrics visualization, and trace analysis capabilities.
• Develop custom log indexing systems: Architect and build high-performance log indexing solutions using Rust that process logs and provide sub-second search across billions of log lines at a fraction of the cost.
• Integrate SQL analytics for logs: Design and implement solutions leveraging AWS Athena or similar SQL query engines (DuckDB, ClickHouse) for ad-hoc log analysis and historical queries, enabling engineers to run complex SQL queries over S3-based log data for deep investigations and trend analysis. 
• Create advanced query interfaces: Build sophisticated web interfaces that allow engineers to query logs, metrics, and traces with features like saved queries, query templates, correlation analysis, and pattern detection, supporting both full-text search and SQL-based analytics. 
• Balance cloud-native and open-source: Architect solutions that thoughtfully leverage both AWS-managed services (CloudWatch, Athena, Kinesis) and open-source tooling (LGTM stack, Quickwit) to optimize for cost, performance, and operational flexibility based on use case requirements. 
• Integrate AWS observability: Design seamless integration between AWS CloudWatch Logs/Metrics and our custom observability platform, providing unified visibility across managed and self-hosted infrastructure. 
• Build intelligent alerting: Develop smart dashboards, monitors, and alerting systems that reduce noise, detect anomalies, and help teams respond to incidents quickly. 
• Partner with engineering teams: Work directly with product teams to integrate observability into their services, establish logging and metrics standards, and instrument code effectively, serving as the observability subject matter expert. 
• Enable performance optimization: Provide the observability foundation that allows the Scalability team to identify performance bottlenecks, track optimization impact, and measure platform stability with data-driven insights. 
• Establish observability standards: Define and document comprehensive observability standards including structured logging patterns, metric naming conventions, trace instrumentation, dashboard design principles, and query best practices. 
• Drive platform adoption: Lead workshops, create documentation, and build self-service tooling that democratizes observability across engineering, making it easy for teams to adopt best practices. 
• Demonstrate technical leadership: Mentor engineers on observability practices, lead architecture reviews for instrumentation approaches, and represent the Scalability team in cross-functional planning. 
• Work in an Agile/Scrum environment to continually deliver value to stakeholders and clients. 
• Code of Conduct: Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. 

Required Qualifications: 

• 10+ years of software engineering or infrastructure engineering experience with demonstrated progression into technical leadership roles. 
• Several years of experience leading technical initiatives, building platform products, or serving as a subject matter expert on observability infrastructure. 
• Strong experience with React/TypeScript for frontend development and Python (Flask/SQLAlchemy) for backend services. 
• LGTM stack expertise: Deep production experience with Loki, Grafana, Tempo, and Prometheus/Mimir for logs, metrics, and distributed tracing at scale. 
• AWS observability: Extensive experience with AWS CloudWatch Logs and Metrics, including custom metrics, log insights, dashboard creation, and integration patterns. 
• SQL analytics for logs: Production experience with SQL-based log analytics using AWS Athena, DuckDB, or similar query engines for analyzing structured and semi-structured data at scale. 
• Cloud-native and open-source balance: Demonstrated ability to architect solutions leveraging both managed cloud services and open-source tooling, understanding trade-offs between operational overhead, cost, flexibility, and vendor lock-in. 
• Search and indexing experience: Hands-on experience building or operating search systems using OpenSearch, Elasticsearch, Lucene, Tantivy, or similar search and analytics engines. 
• Performance-critical systems: Experience building high-performance systems that process large volumes of data efficiently (millions of log lines, high-cardinality metrics). 
• Systems thinking: Deep understanding of distributed systems, microservices architectures, and the complex observability challenges they present. 
• Data at scale: Proven track record handling high-volume structured and unstructured logging data, identifying patterns, and building efficient search/query solutions that perform well under load. 
• Product mindset: Ability to build internal platform products that engineers love to use, with attention to UX, performance, and reliability. 

Preferred Qualifications: 

• Rust development experience: Production experience with Rust for building high-performance data processing, indexing, or search systems. Strong interest in learning Rust is acceptable if combined with systems programming experience in C/C++/Go. 
• Infrastructure as code: Experience with Terraform for managing observability infrastructure and AWS resources. 
• Additional observability platforms: Experience architecting or operating Datadog, New Relic, Splunk, or other enterprise observability platforms. 
• Advanced query languages: Deep expertise with PromQL, LogQL, SQL optimization, and query optimization for high-cardinality data. 
• Columnar storage formats: Experience with Parquet, ORC, or other columnar storage formats for efficient log storage and analytics on S3. 
• Incident management: Experience designing incident response workflows, postmortem processes, and SLO/SLI frameworks that drive reliability improvements. 
• Cost optimization: Track record of reducing observability costs while maintaining or improving capabilities (e.g., CloudWatch → S3/custom indexing migration). 
• Data pipelines: Experience with streaming data pipelines, ETL processes, or real-time data processing. 
• Distributed tracing: Deep knowledge of OpenTelemetry, Jaeger, Zipkin, or distributed tracing architectures. 
• Git expertise and experience working in a mono repository. 
• Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. 
• Experience building developer tools or internal platforms that improve engineering productivity. 

This range represents the low and high end of the anticipated base salary range for the NY - based position. The actual base salary will depend on several factors such as: experience, knowledge, and skills, and if the location of the job changes. 

Nothing in this position description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. 

THE POSITION
Our roster has an opening with your name on it

At FanDuel, data is the heartbeat of our organization. As a Staff Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will own critical production ML systems across real-time personalization, delivering billions of recommendations per day, and search, powering high-scale, low-latency discovery experiences for customers across our sportsbook and gaming products. You will tackle complex, still-evolving challenges in ranking, relevance, retrieval, and online decisioning to provide our business with insight and our customers with world-class personalized experiences. Every click our users make, every bet, every touchdown, every fumble, and every play is fair game for us to turn into a stream of knowledge. Your expertise will be used here to make better and faster decisions – outpacing our competition.

Collaboration is at the core of your role. You’ll be the linchpin between engineering teams working downstream to build out our online application and upstream to land necessary data for feature engineering. You’ll also be working with Data Scientists and Analysts to productionize, analyze, and validate AI powered insights. You will be asked to help organize, model, and present our data as a coherent product and offer it to our stakeholders, providing a common information framework that allows FanDuel to intelligently react to what is happening on the field and in the marketplace.

We are looking for Staff Machine Learning Engineer who may be looking to make the move to a big data environment. If this describes you, read on – we want to hear from you!

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

• Designing and implementing intelligent search systems incorporating typeahead search, vector search and ML personalization signals to optimize relevance and user experience, with end-to-end ownership from ideation to production
• Building and scaling multi-layer serving architectures for ML and GenAI/LLM models, making key architectural decisions in ambiguous problem spaces
• Driving the design and evolution of platform capabilities (e.g. CLI, SDK, Infra Automation, Platform Applications) to streamline ML and GenAI/LLM application development and deployment lifecycle across teams
• Contributing to technical strategy and influencing adoption of ML and GenAI/LLM platform solutions across partner engineering teams
• Applying best practices in data security, privacy (e.g. GDPR, CCPA), governance, and data testing frameworks to ensure reliable and compliant data products
• Owning the continuous integration and delivery of production-grade data and ML systems with a focus on scalability, reliability, and cost-efficiency
• An inclusive culture that expects excellence and prioritizes your growth as an engineer and your well-being as a person
• Advance your career within well-defined, skill-based tracks, either as an individual contributor or as a manager – both providing equal opportunities for compensation and advancement
• Operate as part of an autonomous team with end-to-end ownership of key components of our data and ML platform architecture
• Set engineering standards and mentor junior engineers, elevating team practices in system design, reliability, automation, data quality, and operational excellence
  
  

THE STATS
What we're looking for in our next teammate

Required Qualifications

• 7+ years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)
• 4+ years of experience designing and building scalable software architectures, including systems supporting ML, Search or LLM workloads
• 2+ years of experience implementing vector search, semantic search, or embedding-based retrieval systems (RAG workflows) for production ML or AI applications with vector store such as AWS OpenSearch, Elasticsearch, etc
• 2+ years of experience building platform components and frameworks improving ML/AI development and deployment efficiency
• 1+ years of experience driving technical direction, making architectural trade-offs, and influencing engineering decisions across teams
• 1+ years of experience collaborating cross-functionally, working with leadership and influencing and driving partner teams to adopt platform capabilities and best practices
• 1+ years of experience conducting design reviews and setting engineering standards within a team
• Experience with data and streaming technologies (e.g., Spark, Flink, Kafka, Airflow, Terraform)
• Experience working in cloud environments such as AWS, GCP, or Azure
• Experience designing and building data pipelines for production ML and GenAI/LLM systems
• Strong understanding of data structures, distributed systems, and software engineering principles
• Demonstrated ability to independently own and deliver complex technical projects end-to-end in ambiguous environments
• Ability to communicate technical concepts and insights effectively through dashboards, data models, or design artifacts
• Track record of mentoring engineers and elevating team-wide engineering practices and technical quality

Preferred Qualifications

• 1+ years of experience working with typeahead / autocomplete systems and integrating ML signals into query understanding or ranking workflows
• 1+ years of experience combining outputs from multiple retrieval systems (e.g., vector search + typeahead + personalization models) to improve relevance
• 1+ years of experience deploying ML and GenAI/LLM models under constraints of scalability, correctness, and maintainability in production environments
  • Hands-on experience with ML frameworks (Scikit-learn, PyTorch, TensorFlow, etc.) and familiarity with LLM frameworks
  • Hands-on experience with ML and GenAI/LLM platforms (e.g., SageMaker, Bedrock, Databricks, etc.)
    
    

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $159,000 - $208,950 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid

THE POSITION
Our roster has an opening with your name on it

At FanDuel, data is the heartbeat of our organization. As a Staff Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will own critical production ML systems across real-time personalization, delivering billions of recommendations per day, and search, powering high-scale, low-latency discovery experiences for customers across our sportsbook and gaming products. You will tackle complex, still-evolving challenges in ranking, relevance, retrieval, and online decisioning to provide our business with insight and our customers with world-class personalized experiences. Every click our users make, every bet, every touchdown, every fumble, and every play is fair game for us to turn into a stream of knowledge. Your expertise will be used here to make better and faster decisions – outpacing our competition.

Collaboration is at the core of your role. You’ll be the linchpin between engineering teams working downstream to build out our online application and upstream to land necessary data for feature engineering. You’ll also be working with Data Scientists and Analysts to productionize, analyze, and validate AI powered insights. You will be asked to help organize, model, and present our data as a coherent product and offer it to our stakeholders, providing a common information framework that allows FanDuel to intelligently react to what is happening on the field and in the marketplace.

We are looking for Staff Machine Learning Engineer who may be looking to make the move to a big data environment. If this describes you, read on – we want to hear from you!

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

THE GAME PLAN
Everyone on our team has a part to play

• Designing and implementing intelligent search systems incorporating typeahead search, vector search and ML personalization signals to optimize relevance and user experience, with end-to-end ownership from ideation to production
• Building and scaling multi-layer serving architectures for ML and GenAI/LLM models, making key architectural decisions in ambiguous problem spaces
• Driving the design and evolution of platform capabilities (e.g. CLI, SDK, Infra Automation, Platform Applications) to streamline ML and GenAI/LLM application development and deployment lifecycle across teams
• Contributing to technical strategy and influencing adoption of ML and GenAI/LLM platform solutions across partner engineering teams
• Applying best practices in data security, privacy (e.g. GDPR, CCPA), governance, and data testing frameworks to ensure reliable and compliant data products
• Owning the continuous integration and delivery of production-grade data and ML systems with a focus on scalability, reliability, and cost-efficiency
• An inclusive culture that expects excellence and prioritizes your growth as an engineer and your well-being as a person
• Advance your career within well-defined, skill-based tracks, either as an individual contributor or as a manager – both providing equal opportunities for compensation and advancement
• Operate as part of an autonomous team with end-to-end ownership of key components of our data and ML platform architecture
• Set engineering standards and mentor junior engineers, elevating team practices in system design, reliability, automation, data quality, and operational excellence
  
  

THE STATS
What we're looking for in our next teammate

Required Qualifications

• 7+ years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)
• 4+ years of experience designing and building scalable software architectures, including systems supporting ML, Search or LLM workloads
• 2+ years of experience implementing vector search, semantic search, or embedding-based retrieval systems (RAG workflows) for production ML or AI applications with vector store such as AWS OpenSearch, Elasticsearch, etc
• 2+ years of experience building platform components and frameworks improving ML/AI development and deployment efficiency
• 1+ years of experience driving technical direction, making architectural trade-offs, and influencing engineering decisions across teams
• 1+ years of experience collaborating cross-functionally, working with leadership and influencing and driving partner teams to adopt platform capabilities and best practices
• 1+ years of experience conducting design reviews and setting engineering standards within a team
• Experience with data and streaming technologies (e.g., Spark, Flink, Kafka, Airflow, Terraform)
• Experience working in cloud environments such as AWS, GCP, or Azure
• Experience designing and building data pipelines for production ML and GenAI/LLM systems
• Strong understanding of data structures, distributed systems, and software engineering principles
• Demonstrated ability to independently own and deliver complex technical projects end-to-end in ambiguous environments
• Ability to communicate technical concepts and insights effectively through dashboards, data models, or design artifacts
• Track record of mentoring engineers and elevating team-wide engineering practices and technical quality

Preferred Qualifications

• 1+ years of experience working with typeahead / autocomplete systems and integrating ML signals into query understanding or ranking workflows
• 1+ years of experience combining outputs from multiple retrieval systems (e.g., vector search + typeahead + personalization models) to improve relevance
• 1+ years of experience deploying ML and GenAI/LLM models under constraints of scalability, correctness, and maintainability in production environments
  • Hands-on experience with ML frameworks (Scikit-learn, PyTorch, TensorFlow, etc.) and familiarity with LLM frameworks
  • Hands-on experience with ML and GenAI/LLM platforms (e.g., SageMaker, Bedrock, Databricks, etc.)
    
    

ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.  

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).

PLAYER BENEFITS
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.

The applicable salary range for this position is $159,000 - $208,950 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

#LI-Hybrid

Who You Are

Not only do you have broad and deep knowledge of software development technologies, but you are also deeply curious about how knowledge flows through complex organizations. You enjoy designing systems that make information easier to structure, store, retrieve, and reuse across teams and tools.

You have a strong sense of empathy for both technical and non-technical collaborators and are able to translate complex system designs into concepts that content designers, product managers, and business stakeholders can understand.

You are particularly excited about the emerging intersection of AI systems, structured knowledge, and modern content infrastructure. You enjoy building foundational systems that enable others—engineers, designers, support teams, and AI tools—to work more effectively.

In this role, you will partner closely with content strategists, designers, and product teams to build the infrastructure that powers Justworks’ internal knowledge systems and AI capabilities. This work includes designing systems that store structured knowledge, expose it through APIs, and enable downstream tools—including AI assistants—to retrieve reliable context.

Your Success Profile

What You Will Work On

• Design and build the foundational infrastructure that enables structured knowledge to be stored, versioned, and retrieved across the organization
• Partner with Content Design, Product, and Engineering teams to translate knowledge architecture (taxonomy, content models, decision tables, and policy relationships) into technical systems
• Stand up and configure a headless CMS platform that implements the organization’s knowledge operating model, translating content models, taxonomy, and governance structures defined by Content Design into scalable technical systems
• Develop APIs and services that expose structured knowledge to internal tools, AI assistants, and future product experiences
• Build and maintain integrations between knowledge storage systems and AI tooling, including retrieval pipelines and experimentation with RAG-based architectures
• Prototype using lightweight tooling (e.g., Git-based content repositories, markdown workflows, and developer-friendly authoring environments)
• Collaborate with engineers and designers to identify opportunities where structured knowledge can improve product development workflows and AI capabilities
• Evaluate and recommend technology approaches for knowledge storage and delivery (e.g., headless CMS platforms, structured content repositories, search infrastructure)
• Establish scalable patterns for content versioning, governance workflows, and structured metadata management
• Work with cross-functional stakeholders to ensure the system supports internal enablement needs such as SOPs, policies, decision trees, and operational guidance
• Continuously iterate on the architecture as the organization’s knowledge systems mature and new use cases emerge

How You Will Do Your Work

As a Senior Engineer working on foundational systems, how results are achieved is paramount for your success and ultimately for our success as an organization.

In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies:

• Systems thinking – the ability to understand complex systems and design infrastructure that supports multiple teams, workflows, and downstream consumers.
• Good judgment – exercising critical thinking when evaluating architectural decisions, balancing long-term platform goals with pragmatic iteration.
• Resourcefulness – taking a pragmatic, experimental approach to building early versions of systems while designing for future scalability.
• Teamwork and communication – collaborating closely with engineers, content designers, and non-technical stakeholders to translate business knowledge into technical systems.
• Curiosity and technical exploration – staying engaged with emerging approaches to knowledge infrastructure, AI tooling, retrieval systems, and structured content architectures.
• Skills and knowledge – the capacity to actively learn and apply new technologies and architectural patterns that improve how knowledge flows across the organization.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

• Camaraderie – Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness – Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit – You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity – Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example.
• Simplicity – Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Technologies Used

Technologies may evolve as the platform matures, but current systems across the Justworks engineering organization include:

• Golang, Ruby on Rails, Javascript
• MySQL, Redis, ElasticSearch
• Kafka, Temporal
• AWS infrastructure
• Git and GitHub workflows
• Docker, Kubernetes
• Terraform
• CircleCI
• DataDog

Experience with the following areas is also helpful for this role:

• Headless CMS platforms (e.g., Contentful, Sanity, Strapi)
• Git-based content workflows and markdown repositories
• Knowledge retrieval systems and RAG architectures
• Search and indexing systems
• API-driven content platforms 

Qualifications

• 7+ years of experience as a software engineer building production systems
• Strong experience designing APIs and backend services that support multiple downstream consumers
• Experience working with structured content systems, CMS platforms, or knowledge management infrastructure
• Experience leading the technical implementation of complex systems and coordinating work across multiple engineers, including delegating implementation tasks and guiding architectural decisions
• Experience designing or integrating systems that support information retrieval or search
• Familiarity with modern AI tooling and experience integrating LLM-based workflows with structured knowledge sources
• Experience designing systems that model relationships between entities, policies, or domain concepts
• Strong collaboration skills and ability to work closely with non-engineering partners such as content strategists, designers, and product managers
• Ability to operate autonomously in ambiguous problem spaces and design pragmatic early-stage solutions

The base wage range for this position based in our New York City Office is targeted at $167,500.00 to $235,000.00 per year.

What is The Role

As a SLED Sr. Solutions Architect at Elastic you will serve as a technical authority and trusted advisor to our sales team, customers, partners and community. You will understand and solve our customer’s business issues with the Elastic Stack, engage the regional Elastic community through events and programs, and enable sales through our Partners. A successful SA at Elastic will be focused on excellence; taking the initiative to improve both themselves and the team through continuous learning and questioning the status quo.

What You Will Be Doing

• Serving as the technical point of contact for your accounts and account managers in your assigned territory.
• Building a comprehensive understanding of customers’ goals and objectives, and articulating how our offerings address their needs.
• Creating and owning value based relationships at all levels in customer organizations.
• Actively participating in all phases of planning and execution for your territory, from initial discovery to the technical win.
• Developing and maintaining a deep understanding of the Elastic products and solutions to demonstrate the value of our offerings in sales meetings, and at events such as meetups and conferences.
• Advising the sales team on effective ways of positioning Elastic products, solutions and services.
• Onboarding, educating and enabling our partners, and supporting them in sales cycles.
• Crafting collateral, contributing to programs and collaborating with other Elasticians to meet individual client needs.
• Being the voice of the customer and community to communicate needs, gaps, and improvements to our engineering and leadership teams.
• Deepening both your sales and technical skills through education while taking advantage of all the professional development opportunities provided by Elastic.

What You Bring

• 6+ years of experience in specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
• Implementation experience with SaaS platforms using web technologies (TCP/IP, HTTP, HTML, JavaScript, RESTful APIs), particularly cloud-based, high-performance solutions.
• A track record of success in a technical presales role-- enough experience selling and implementing technology to earn your customer’s trust.
• A demonstrable ability to articulate and sell the benefits of modern platforms, software and technologies.
• A real passion for being curious and a continuous learner. You are someone that invests in yourself as much as you invest in your professional relationships.
• A history of successful customer relations where you developed an understanding of what made a difference, and devised architectures that helped meet a goal, tackle a problem, or outpace competitors.
• An ability to influence. Have you more than once convinced a team you worked for, of an idea, technology, or architectural pattern?
• The ability to inspire groups, both large and small.
• A willingness to travel 40% within region, as well as occasionally internationally.
• Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field AND 3+ years of proven experience in technology solutions, practice development, architecture, consulting, and/or cloud/infrastructure technologies.
• Professional experience in architecting/operating solutions built on one or more cloud service providers like AWS, Azure, or GCP.
• Experience with cloud solutions, virtual platforms, software development, and operational management practices.
• US CITIZENSHIP REQUIRED

#LI-AM2

What is The Role:

Elastic is searching for an Account Executive to expand our Pursuit customer accounts. Our Account Executives are individual contributors, focused on building new business and growing the Elastic footprint and ensuring our customers are successfully leveraging Elastic cloud solutions across their organization. Are you ready to help users tackle their hardest problems through the power of search? If so, we’d love to hear from you!

What You Will Be Doing:

• Breaking in, building relationships and awareness, to create the demand and new business revenue for Elastic solutions within new accounts.
• Uncovering new and diverse use cases for Search, Security, and Observability to solve key business initiatives in their organizations.
• Working thoughtfully with customers to identify new business opportunities, managing through the sales cycle and closing complex transactions.
• Building a robust pipeline and a long term business plan through community, customer and partner ecosystems to achieve significant Elastic growth within your accounts.
• Delivering against monthly, quarterly annual revenue targets for New Business SaaS subscriptions and Professional Services contracts while maintaining the existing customer base. 
• Collaborating across Elastic business functions to ensure a seamless customer experience

What You Bring:

• A track-record of success hunting to sell SaaS subscriptions and professional services into net-new complex accounts, demonstrated by overachievement of quota and strong customer references
• A deep understanding and preferably experience selling into the ecosystem we live in, including Enterprise Search, Logging, Security, APM and Cloud
• The ability to build relationships and credibility with both IT and LOB executives.
• Predictability and accurate forecasting capabilities using SFDC
• An appreciation for the Open Source go-to-market model and the community of users who rely on our solutions every single day
• Previous experience selling into the accounts included in this territory

Bonus Points:

• Previous experience selling in an Open-Source model

What is The Role

Elastic is a search company that powers enterprise search, observability, and security solutions built on one technology stack that can be deployed anywhere. From finding documents to monitoring infrastructure to hunting for threats, Elastic makes data usable in real time and at scale. Thousands of organizations worldwide, including Barclays, Cisco, eBay, Fairfax, ING, Goldman Sachs, Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia, and Verizon, use Elastic to power mission-critical systems. Founded in 2012, Elastic is a distributed company with Elasticians around the globe. Learn more at elastic.co

Are you looking to make a real impact and play a meaningful role in the growth of our company?

As a SLED Solutions Architect at Elastic you will serve as a technical authority and trusted advisor to our sales team, customers, partners and community. You will understand and solve our customer’s business issues with the Elastic Stack, engage the regional Elastic community through events and programs, and enable sales through our Partners. A successful SA at Elastic will be focused on excellence; taking the initiative to improve both themselves and the team through continuous learning and questioning the status quo.

What You Will Be Doing

• Serving as the technical point of contact for your accounts and account managers in your assigned territory.
• Building a comprehensive understanding of customers’ goals and objectives, and articulating how our offerings address their needs.
• Creating and owning value based relationships at all levels in customer organizations.
• Actively participating in all phases of planning and execution for your territory, from initial discovery to the technical win.
• Developing and maintaining a deep understanding of the Elastic products and solutions to demonstrate the value of our offerings in sales meetings, and at events such as meetups and conferences.
• Advising the sales team on effective ways of positioning Elastic products, solutions and services.
• Onboarding, educating and enabling our partners, and supporting them in sales cycles.
• Crafting collateral, contributing to programs and collaborating with other Elasticians to meet individual client needs.
• Being the voice of the customer and community to communicate needs, gaps, and improvements to our engineering and leadership teams.
• Deepening both your sales and technical skills through education while taking advantage of all the professional development opportunities provided by Elastic.

What You Bring

• A track record of success in a technical presales role-- enough experience selling and implementing technology to earn your customer’s trust.
• A demonstrable ability to articulate and sell the benefits of modern platforms, software and technologies.
• A real passion for being curious and a continuous learner. You are someone that invests in yourself as much as you invest in your professional relationships.
• A history of successful customer relations where you developed an understanding of what made a difference, and devised architectures that helped meet a goal, tackle a problem, or outpace competitors.
• An ability to influence. Have you more than once convinced a team you worked for, of an idea, technology, or architectural pattern?
• The ability to inspire groups, both large and small.
• A willingness to travel 40% within region, as well as occasionally internationally.

#LI-AM2

What is The Role:

Elastic is searching for an Enterprise Account Executive to expand our Enterprise Pursuit customer accounts. Our Enterprise Account Executives are individual contributors, focused on building new business and growing the Elastic footprint and ensuring our customers are successfully leveraging Elastic cloud solutions across their organization. Are you ready to help users tackle their hardest problems through the power of search? If so, we’d love to hear from you!

What You Will Be Doing:

• Breaking in, building relationships and awareness, to create the demand and new business revenue for Elastic solutions within new Enterprise accounts.
• Uncovering new and diverse use cases for Search, Security, and Observability to solve key business initiatives in their organizations.
• Working thoughtfully with customers to identify new business opportunities, managing through the sales cycle and closing complex transactions.
• Building a robust pipeline and a long term business plan through community, customer and partner ecosystems to achieve significant Elastic growth within your accounts.
• Delivering against monthly, quarterly annual revenue targets for New Business SaaS subscriptions and Professional Services contracts while maintaining the existing customer base. 
• Collaborating across Elastic business functions to ensure a seamless customer experience

What You Bring:

• A track-record of success hunting to sell SaaS subscriptions and professional services into net-new complex accounts, demonstrated by overachievement of quota and strong customer references
• A deep understanding and preferably experience selling into the ecosystem we live in, including Enterprise Search, Logging, Security, APM and Cloud
• The ability to build relationships and credibility with both IT and LOB executives.
• Predictability and accurate forecasting capabilities using SFDC
• An appreciation for the Open Source go-to-market model and the community of users who rely on our solutions every single day
• Previous experience selling into the Enterprise accounts included in this territory

Bonus Points:

• Previous experience selling in an Open-Source model

What Is The Role
Elastic, the Search AI company, is looking for a high-energy Enterprise Account Executive to drive net-new revenue and expansion within strategic Enterprise accounts. You’ll be the owner of a defined territory where you’ll build your own pipeline, tell the Elastic Search AI story, and close complex, multi-stakeholder deals in a consumption-based model. This role sits at the intersection of sales execution, technical fluency, and cross-functional collaboration—and is critical to our growth in the Enterprise segment.

What You Will Be Doing

• Own your territory & build pipeline: Develop and execute a proactive outbound cadence (email, call, social) that generates ≥50 % of your booked opportunities.

• Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals.

• Value storytelling & demos: Craft and deliver tailored narratives and live demos that map Elastic’s Search, Observability, and Security capabilities to measurable business outcomes.

• Mutual deal strategy & forecast accuracy: Collaborate with customers to build formal close plans and keep your CRM up-to-date, maintaining ≥90 % forecast accuracy within ±10 %.

• Executive negotiation & closing: Lead high-stakes contract and pricing discussions—defend your value, structure give/get trades, and land multi-year consumption commitments.

• Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures.

• Cross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes.

What You Bring

• Proven SaaS quota‐carrying success: 5+ years closing complex Enterprise deals, consistently overachieving targets in a consumption-based or usage-model environment.

• Expert discovery & qualification skills: Demonstrated ability to apply MEDDPICC or equivalent frameworks to drive disciplined pipeline and eliminate low-probability deals.

• Compelling value storytellers: Track record of delivering executive-level presentations and demos that tie product capabilities to real dollars saved, revenue gained, or risk mitigated.

• Strong negotiation chops: History of landing multi-year, high-ACV contracts while protecting margin and securing executive stakeholder buy-in.

• Technical & cloud fluency: Comfortable discussing a broad range of technical topics including observability, security, vector/traditional search, and cloud cost optimization.

• Collaborative mindset & coachability: A learner who partners effectively with internal teams, incorporates feedback, and embodies Elastic’s values of community and openness.

• Open Source enthusiasm: Genuine appreciation for open-source communities and the Elastic model—bonus if you’ve sold or advocated in an OSS context.

Bonus Points

• Prior experience at an open-source or developer‐centric infrastructure company.

• Familiarity with observability (logs, metrics, traces) or security analytics (SIEM/XDR) use cases.

If you’re driven to build your own pipeline, master complex deal cycles, and help customers unlock the power of Search AI, we’d love to talk. Apply today!

About the Team:

As part of our Search team, you'll own a critical platform that directly impacts how customers discover insights. This isn't just about maintaining a search system – it's about building the next generation of information retrieval at scale. You'll work with modern technologies (including hybrid lexical/vector search), but more importantly, you'll apply your distributed systems expertise to solve fascinating scale challenges.

The best part? You'll join a team of smart engineers who are eager to learn. Your experience in building bulletproof systems will directly elevate the entire team's capabilities.

About the Role: 

AlphaSense is seeking an experienced engineer to work on the search platform that powers market intelligence across billions of documents. You'll tackle the challenge of building distributed systems that handle hundreds of queries per second with millisecond latency, while establishing engineering excellence that ensures reliability for our enterprise customers.

This role is perfect for a seasoned engineer who loves challenges and has a track record of building robust, high-performance systems. While search experience is valuable, we believe great engineers can master new domains – what matters most is your ability to build systems that scale and don't break.

Who You Are:

• 5+ years building and operating distributed systems in production
• Experience with large-scale data platforms or high-throughput systems
• Expertise in distributed systems fundamentals: sharding, replication, consistency, partition tolerance
• Strong performance optimization skills - you can profile, diagnose, and fix bottlenecks across the stack
• Experience with data pipeline architecture, real-time processing, or database internals
• Excellence in building observable systems with comprehensive monitoring and alerting

Preferred:

• Experience with search platforms (Vespa, Elasticsearch, Solr) or similar large-scale data systems
• Experience with Kubernetes, CRDs, and infrastructure as code 
• Background in information retrieval, ranking systems, or recommendation engines
• Familiarity with hybrid search approaches (lexical and vector)
• Experience with JVM-based systems and tuning
• Knowledge of modern engineering practices from high-growth companies

What You’ll Do: 

• Scale Distributed Systems: Architect and optimize infrastructure handling billions of documents and hundreds of queries per second
• Lead Platform Evolution: Drive the migration from legacy systems to modern architecture, ensuring zero downtime and improved performance
• Build Engineering Excellence: Establish comprehensive monitoring, testing, and deployment practices that catch issues before customers do
• Optimize Performance: Profile and tune systems from the infrastructure to the application level, balancing cost and performance

Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale—up to millions of wet lab experiments weekly—and massive computational scale—owning and operating one of the most powerful supercomputers in the world—Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine.

In this role, you will:

• Build, scale, and operate in a validated data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform with petabyte scale data, and maintaining a GxP-compliant data platform for clinical data. These platforms allow our users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions of compounds, cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion’s drug discovery.
• Engineer Data Integrity and Traceability: You will ensure data flows with integrity in the validated environment by building the automated audit trails and lineage required by 21 CFR Part 11 making our datasets in the clinical datalake queryable and relatable for regulatory questions. Additionally, you'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet.
• Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion.

The Team You’ll Join

• You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines.

Nice to Haves: Experience in a regulated environment (Fintech, Medicine, Nuclear Industry, etc.), Experience with Search (Elasticsearch), Vector/Graph databases, or deep experience scaling within the GCP ecosystem is a significant plus.

Working Location & Compensation:

This is an office-based, hybrid role in our London office. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-EP1

Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale—up to millions of wet lab experiments weekly—and massive computational scale—owning and operating one of the most powerful supercomputers in the world—Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine.

In this role, you will:

• Build, scale, and operate in a validated data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform with petabyte scale data, and maintaining a GxP-compliant data platform for clinical data. These platforms allow our users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions of compounds, cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion’s drug discovery.
• Engineer Data Integrity and Traceability: You will ensure data flows with integrity in the validated environment by building the automated audit trails and lineage required by 21 CFR Part 11 making our datasets in the clinical datalake queryable and relatable for regulatory questions. Additionally, you'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet.
• Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion.

The Team You’ll Join

• You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines.

Nice to Haves: Experience in a regulated environment (Fintech, Medicine, Nuclear Industry, etc.), Experience with Search (Elasticsearch), Vector/Graph databases, or deep experience scaling within the GCP ecosystem is a significant plus.

Working Location & Compensation:

This is an office-based, hybrid position at either of our US offices located in Salt Lake City, Utah or New York City, New York. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is $142,500 - $220,500. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-EP1

SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry.

We’re building an awesome entertainment ecosystem where fans have effortless access to incredible live experiences, while sports teams, venues, and shows have unprecedented access to their audiences – because everyone should expect more from the ticketing industry.

Open roles for new graduates

We are looking for the best and brightest Spring/Summer 2026 college graduates to help us make live entertainment even better! Experience is preferred, but not required – in fact, we look forward to supporting you by teaching you new technologies and mentoring you in software development craft as a member of our world-class engineering team. 

We have roles open in the following technologies: 

• Backend (Python, Go, C#)
• Frontend Web (Typescript + React)
• Mobile (Kotlin, Swift)
• Platform (AWS, Docker, Python, Go)

What you'll do

• Solve unique and challenging customer problems
• Work with leading-edge tech in the cloud or on web and mobile
• Help scale our software as we grow our booming business
• Take on the challenges of building software for a many-sided marketplace
• Empower decision-making at a rapidly growing data-driven company 
• Run experiments and evaluate new technologies that will determine the future of our business for years to come
• Build performant, beautiful, inclusive user interfaces that delight our users and enhance our brand

What you have

• You are a college student graduating in the Spring/Summer of 2026, ideally in computer science or a related degree
• Experience in building software. We'll be interested in hearing about what you've built and how you built it
• Problem solving abilities, adept at handling technical challenges. SeatGeek engineers create custom solutions to unique ticketing problems, including venue mapping, inventory tracking, and event matching. We'll be excited to hear about the problems you've solved
• Passion for software craftsmanship and product. You hold yourself and your code to a high standard
• Commitment to your teammates. You enjoy working with a diverse group of people with different experiences and take pride in mentoring and learning from others

Our stack

You do not need experience with all of these, but we thought you might be curious. What we care about is your experience, skills, and approach to problem-solving. Tools can be learned.

• Languages: Python, Go, C#+.NET Core, React+Typescript, Swift, Kotlin
• Datastores: Postgres, Redis, Elasticsearch
• Cloud: AWS
• Version control: Gitlab

Perks

• Equity stake
• Discretionary annual bonus
• Flexible work environment, allowing you to work as many days a week in the office as you’d like or 100% remotely
• A WFH stipend to support your home office setup
• Unlimited PTO
• Eligible for the SG discretionary annual bonus based on individual and company performance
• Up to 16 weeks of fully-paid family leave 
• 401(k) matching 
• Student loan matching program
• Health, vision, dental, and life insurance
• Up to $25k towards family building, reproductive health services and Gender-affirming care
• $500 per year for wellness expenses
• Subscriptions to Headspace (meditation), Headspace Care (therapy), and One Medical
• $120 per month to spend on tickets to live events
• Annual subscription to Spotify, Apple Music, or Amazon music

 **Please note you are expected to come into the SeatGeek New York City Office at least 3 days a week**

The salary range for this role is $110,000-$130,000 USD. This role is equity eligible. In addition, you may receive a discretionary annual bonus based on individual and company performance. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, certifications, and specific location.

SeatGeek is committed to providing equal employment opportunities to all employees and applicants for employment regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings. Come join us!

To review our candidate privacy notice, click here.

#LI-Remote

About the Role

Schonfeld Strategic Advisors is seeking an experienced AI Data Engineer to join our Data Engineering team. In this role, you will be responsible for designing, building, and maintaining robust data pipelines that power SchonAI, our firm's internal AI platform. You will work at the intersection of data engineering and AI, ensuring that high-quality, timely, and relevant data flows seamlessly to our AI systems to support investment professionals across the firm.

Key Responsibilities

Data Pipeline Development

• Design and build scalable, reliable data pipelines to ingest, transform, and deliver structured and unstructured data to SchonAI using Prefect.
• Develop ETL/ELT processes for diverse data sources including market data, research documents, internal databases, and third-party APIs.
• Implement real-time and batch data processing workflows to meet varying latency requirements.
• Ensure data quality, consistency, and integrity across all pipelines.

AI Data Infrastructure

• Build and maintain data infrastructure optimized for AI/ML workloads, including vector databases and semantic search systems.
• Design data schemas and storage solutions that support efficient retrieval and processing for LLM applications.
• Implement data versioning, lineage tracking, and observability for AI training and inference pipelines.
• Optimize data delivery for low-latency AI interactions and high-throughput batch processing.

Integration & Collaboration

• Partner with AI engineers, software developers, and data scientists to understand data requirements.
• Integrate with existing firm systems including risk platforms, trading systems, portfolio management tools, and research databases.
• Collaborate with infrastructure teams on cloud architecture, security, and compliance requirements.
• Work closely with business stakeholders to prioritize data sources and pipeline enhancements.

Data Governance & Security

• Implement appropriate data access controls, encryption, and compliance measures.
• Ensure adherence to data governance policies and regulatory requirements.
• Monitor and maintain data pipeline performance, reliability, and cost efficiency.
• Document data flows, transformations, and dependencies.

Required Qualifications

Technical Skills

• Programming: Strong proficiency in Python; experience with SQL and at least one other language (e.g. Java, Scala, Go, Rust)
• Data Engineering: 5+ years of experience building production data pipelines using tools like Apache Airflow, Prefect, Dagster, or similar
• Big Data Technologies: Hands-on experience with distributed computing frameworks (Spark, Flink) and modern data platforms
• Cloud Platforms: Proficiency with AWS services (S3, Kubernetes) or equivalent GCP services
• Databases: Experience with both SQL (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB, Elasticsearch)
• AI/ML Data: Understanding of data requirements for ML/AI systems, including experience with vector databases (Pinecone, Weaviate, Qdrant) and embedding pipelines

Preferred Experience

• Experience building data pipelines for LLM applications or RAG (Retrieval Augmented Generation) systems
• Familiarity with financial data sources (market data, fundamental data, alternative data)
• Knowledge of data streaming technologies (Kafka, Kinesis, Pub/Sub)
• Experience of Analytics/Warehouse/OLAP DB (BigQ, SingleStore, RedShift, ClickHouse)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Understanding of MLOps practices and tools
• Experience with data quality frameworks (Great Expectations, Deequ)

 Professional Skills

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related technical field
• Strong problem-solving skills and attention to detail
• Excellent communication skills with ability to translate technical concepts for non-technical stakeholders
• Experience working in fast-paced, collaborative environments
• Self-motivated with ability to manage multiple priorities

Who we are  
Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for our investors. We leverage both internal and external portfolio manager teams around the world, seeking to capitalize on inefficiencies and opportunities within the markets. We draw from decades of experience and a significant investment in proprietary technology, infrastructure and risk analytics to invest across four main strategies: Quant, Tactical, Fundamental Equity and Discretionary Macro & Fixed Income.

Our Culture
At Schonfeld, we’ll invest in you. Attracting and retaining top talent is at the heart of what we do, because we believe that exceptional outcomes begin with exceptional people. We foster a culture where talent is empowered to continually learn, innovate and pursue ambitious goals. We are teamwork-oriented, collaborative and encourage ideas—at all levels—to be shared. As an organization committed to investing in our people, we provide learning and educational offerings and opportunities to make an impact. We encourage community through internal networks, external partnerships and service initiatives that promote inclusion and purpose beyond the firm’s walls.

The base pay for this role is expected to be between $225k and $275k. The expected base pay range is based on information at the time this post was generated. This role may also be eligible for other forms of compensation such as a performance bonus and a competitive benefits package. Actual compensation for the successful candidate will be determined based on a variety of factors such as skills, qualifications, and experience.

#LI-PW1

The Opportunity

This is a critical and exciting time at Enigma. Our customers consistently tell us that our data products create tremendous value and are deeply aligned with their most important workflows. As demand grows, we have an urgent opportunity to improve both the intelligence of our data and the systems through which customers access it.

We are looking for an experienced Senior Machine Learning Engineer to join our Match Team and help shape the next generation of Enigma’s customer-facing data products.

In this role, you will combine advanced statistical and machine learning research with the engineering systems required to power fast, relevant, and reliable search experiences at scale. This is a uniquely high-impact role sitting at the intersection of information retrieval, ranking systems, semantic search, distributed systems, and customer data delivery.

The Role

At the core of Enigma’s product is our data, which makes both data science and delivery systems central to what we build.

As a Senior ML Engineer on the Match Team, you will lead efforts that improve the relevance, latency, and scalability of our customer-facing data products. You’ll work across the full lifecycle: framing retrieval and ranking problems, developing models and experimentation strategies, evaluating results using real-world signals, and implementing high-throughput search and retrieval systems.

This role is ideal for someone who is excited by both hard ranking/search problems and the systems challenges of turning those solutions into low-latency, production-grade retrieval systems.

What You'll Do

• Develop innovative solutions to complex problems in information retrieval, ranking, semantic search, query understanding, and recommendation systems
• Build and optimize low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems using Python, Typesense, and AWS
• Evaluate and evolve our search technology stack, driving technical design decisions across indexing strategies, retrieval architecture, and system performance tradeoffs
• Lead end-to-end work from research design through experimentation, productionization, and customer-facing delivery
• Design evaluation frameworks for measuring relevance, precision/recall, ranking quality, and user engagement signals
• Improve query understanding via techniques like embedding models, vector search, hybrid retrieval, and query rewriting
• Detect and investigate anomalies in search performance, ranking behavior, and data freshness, tracing issues to root cause
• Partner closely with Product, Engineering, and client stakeholders to improve search experience and discoverability
• Mentor teammates and help raise the bar for experimentation rigor, system design, and operational excellence

What Makes This Role Exciting?

• Impact: At Enigma, data science and machine learning aren’t just used to make product decisions; they are the product. Your work will directly shape how customers find, explore, and trust our data.
• Technical Challenge: This role spans some of the hardest challenges in search relevance, large-scale retrieval systems, ranking models, APIs, and distributed systems. If you like a technical challenge, this role is for you.
• Ownership: You’ll have meaningful autonomy to shape both research direction and the production systems that power it, including having a strong voice in our tooling and vendor ecosystem.
• Customer Proximity: Your work will directly influence how sophisticated customers integrate Enigma data into critical workflows and decision-making systems.

Our Ideal Candidate

• Brings 5+ years of experience across machine learning, software engineering, data science, or data-intensive product systems
• Has strong programming proficiency in Python and experience operating within cloud environments (AWS preferred)
• Demonstrated applied, production-level expertise in two or more of the following technical domains: information retrieval, ranking systems, NLP/embedding models, or distributed systems.
• Has experience designing, fine-tuning, and operating high-scale backend systems, APIs, or data delivery platforms
• Brings strong judgment in ambiguous environments where relevance signals and ground truth are noisy or implicit
• Effectively communicates technical concepts and tradeoffs to technical and non-technical audiences
• Thrives in highly collaborative environments with strong ownership and fast iteration cycles
• Has an advanced degree in a quantitative discipline or equivalent deep industry experience

Bonus Points If You

• Have deep experience with our core stack (Typesense, Python, AWS) or similar retrieval infrastructure (Elasticsearch, OpenSearch, FAISS)
• Have built customer-facing search or recommendation systems or APIs
• Have worked on query understanding, embeddings, LLM-powered retrieval, or hybrid search systems
• Have mentored senior engineers or data scientists and raised the technical bar across disciplines

About Us

At Enigma, we’re building the single, most reliable source of data on businesses to power the future of financial services. By engineering better data from hundreds of public and third-party sources, we aim to tell the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive. Our core values – generosity, curiosity, ingenuity, & drive – guide everything we do, from how we make our most important product decisions to how we work with and support one another on a daily basis. We’re a team of curious, driven individuals with diverse backgrounds and skills, but we’re all passionate about engineering deeper understanding through data—together. If this resonates, we would love to hear from you!

We are proud to be an equal opportunity workplace and an affirmative action employer. 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.

Salary Range: $160,000-$210,000

A note on salary ranges: we pride ourselves on paying competitively for our size and industry. Salary is one piece of a total Enigma compensation package that includes additional benefits and opportunities. All of our compensation packages include equity because we believe 100% of Enigma employees should have the option to purchase ownership in the company and benefit from the value we’re creating together.

Iterable is leveling up.

Iterable is building the next generation of customer engagement, one where AI doesn’t just assist, it acts. Our platform is evolving into an AI-native system powered by Nova, enabling teams to translate goals into intelligent, real-time customer experiences across every channel. This isn’t about layering AI onto legacy tools; it’s about re-architecting how data, decisioning, and execution come together to create adaptive, agentic journeys at scale.

Ready to move beyond pipelines and build intelligence-ready data systems? 

We are looking for a Senior Product Manager to define how data moves, lives, and performs across Iterable. You’ll own the vision and roadmap for the full lifecycle of user and event data, from ingestion to intelligent storage to governed, high-performance access.

You’ll shape the systems that power both messaging surfaces and Nova AI experiences, ensuring data is fast, reliable, and ready for real-time decisioning. 

Every campaign launched, every journey orchestrated, every model activated, it all depends on the foundations you build.

How you will make an impact:

• Own the end-to-end user data platform charter: define how user and event data moves from APIs and pipelines into storage, through schema and lifecycle management, and out through query surfaces used by sends, journeys, and AI features—staying focused on core user data infrastructure, not analytics UI or external integrations.
• Make ingestion and identity reliable at scale: evolve ingestion APIs and pipelines with clear SLOs, prioritization, and fair-usage limits, and drive a clear identity model so we can safely move users from anonymous to known without duplicates or data loss.
• Modernize storage, schemas, and guardrails: lead ES8 and user-store roadmaps, retention and cost work, and turn schema management into a first-class product (field removal, usage heatmaps, structural guardrails) so customers can keep only the data that matters.
• Enable Nova and product teams with better data: partner with AI/ML and application teams to define what “AI-ready” means, evolve a centralized query layer with guardrails, and own platform metrics (SLOs, incidents, ES cost, schema health, query coverage) that show the impact of your roadmap.

In this role, you'll get to:

• Work at the heart of Iterable’s data plane—where decisions about ingestion, storage, schema, and queries shape everything built on top of it.
• Make concrete tradeoffs between flexibility and guardrails: when to allow arbitrary payloads vs. when to insist on structure, how much history to keep online, and which queries are too risky to run.
• Partner closely with senior engineering leaders on long-horizon decisions about search/index strategy, user stores, SLOs, and cost posture.
• Spend time with customers’ data and engineering teams to understand how they actually model users and events today—and reflect that reality in a cleaner, more powerful user data platform.

We are looking for people who have:

• 5+ years of product management experience in B2B SaaS, focused on backend, platform, or data infrastructure products.
• Hands-on experience with user and event data systems—for example: ingestion pipelines, identity/alias models, event stores, or large search/document databases (e.g., Elasticsearch).
• Strong instincts around APIs and schemas: you’re comfortable reading JSON payloads, thinking through nesting vs. flattening, and managing breaking changes over time.
• Familiarity with distributed systems and data infra (Kafka/Pulsar, Redis, relational or NoSQL stores, or search engines) and the tradeoffs around performance, reliability, and cost.
• Experience collaborating with AI/ML or data science teams on the data side—feature availability, data quality, semantics—enough to know what really blocks good models and agent behavior.
• Strong analytical skills (including SQL) and a habit of using data to drive prioritization and validate impact.
• Clear, direct communication; you can explain a data or infra decision to both senior engineers and non-technical stakeholders without jargon for its own sake.

Bonus points:

• You’ve worked on a core user-data or messaging platform where profiles, events, and identity resolution were central concepts.
• You’ve shipped guardrails or cost controls for shared infrastructure (rate limits, query limits, SLOs, or similar).
• You’ve been part of a major search / storage modernization (e.g., ES migrations, index redesigns, or retention changes).
• Background in computer science, data engineering, or a related field that lets you go deep with engineering when needed.

Perks & Benefits:

• Paid parental leave
• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $138,500 - $213,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

In the time it takes you to read this job description, RapidSOS will have handled ~1,380 emergencies.

At RapidSOS, we are committed to using technology to build a safer, stronger future and working together to save lives. We’re in an exciting phase of growth, welcoming new members from across the globe to our mission-driven, ambitious, and inclusive team. Our work is founded on our values of elevating purpose, inventing tomorrow, delivering with urgency, serving with integrity, and winning together, all of which support a company culture where people can innovate, collaborate, grow, and, above all, make an impact. 

RapidSOS is ​​the leading public safety AI company that unlocks mission-critical intelligence for first responders and security teams – enabling faster, smarter and more accurate emergency response. Real-time data from the world’s largest safety network of 700M+ devices, 200+ global enterprises, and 23,000+ federal, state and local agencies fuels the RapidSOS HARMONY AI engine that delivers this intelligence to those who need it most. Learn more at www.RapidSOS.com.

What this role is about:
Are you excited to work on systems where reliability directly impacts real-world outcomes? At RapidSOS, we build technology that powers emergency response, ensuring critical data gets to the right place at the right time. When these systems degrade or fail, the impact is real and reliability isn’t a background function. It’s fundamental to how our product shows up in critical moments.

We’re seeking a Senior Site Reliability Engineer to own the performance and stability of services that operate at scale in real-world, high-stakes environments. You’ll work across infrastructure-as-code, container orchestration, CI/CD pipelines, and service-level application code, identifying and resolving issues at their root cause while proactively shaping how systems are built to improve reliability from the start. You’ll go beyond surface-level fixes, digging into everything from service behavior in Kubernetes to application-level decisions that impact performance, cost, and reliability. You’ll collaborate closely with engineering teams to improve how our systems are built, observed, and operated. Along the way, you’ll help shape how we approach reliability as a discipline—closing visibility gaps, improving resilience, and ensuring our platform performs when it matters most.

What you’ll do: 

• Own performance and reliability outcomes: Ownership of how application-level decisions create system-level impact, including connection pooling, database architecture, traffic routing patterns, and memory allocation. Collaboration with engineering teams that own specific domains, partnering directly to improve reliability and performance across their systems.
• Design for system resilience: Responsibility for strengthening reliability through proactive design decisions, including safer deployment patterns, failover strategies, and redundancy approaches that improve system behavior under stress.
• Build observability into system behavior: Proactively instrument services with structured logging, metrics, and alerting so systems are easier to understand and debug. The focus is on creating clear signals from production behavior before issues escalate.
• Own incidents from signal to resolution: Ownership of production issues from first signal through resolution, including investigation across infrastructure and application layers, root cause identification, and implementation of fixes that restore stability and strengthen system behavior long term.
• Work across the stack without a permission slip: You’ll work across infrastructure-as-code, container orchestration, CI/CD pipelines, and service-level application code. When issues come up, you don’t wait for a handoff—ownership is taken directly and driven through to resolution.

What we’re looking for in our ideal candidate: 

• 5+ years of professional engineering experience with deep expertise in Python 
• Real cloud infrastructure experience with AWS: networking, managed databases, cost implications of traffic routing decisions, IAM, DNS-based routing and failover
• Hands-on kubernetes experience with containerized workloads in production across EKS, ECS, or Fargate, you can read events, understand resource limits, know when to drain vs. delete a node, and understand the tradeoffs between orchestration models
• Strong understanding of distributed systems and how they fail, including resource exhaustion, replication lag, queue backpressure, and other common failure modes
• Experience operating high-throughput messaging systems (RabbitMQ, Kafka, AWS SNS / SQS, etc.)  and the infrastructure around them, including infrastructure-as-code (e.g., Terraform) and CI/CD pipelines, with an emphasis on improving reliability and scalability
• Experience building or improving observability through logging, metrics, and alerting
• Demonstrable experience in using AI to safely and securely enhance velocity, improve reliability and recoverability of services
• Strong communication and interpersonal skills; is a team player with a positive attitude 
• Highly self-motivated; ability to adapt and learn quickly in a fast-paced environment with a strong sense of ownership
• Strong proficiency in coding best practices – ability to write clean, maintainable, and testable code 
• Demonstrated expertise in problem solving – comfortable working across both infrastructure and application layers to diagnose and resolve issues at the source
• Ability and willingness to collaborate in-person a few times per quarter, or as needed

Nice-to-have experience (but not required!):

• Experience supporting production systems in an on-call or similar capacity where reliability matters
• Experience with observability and GitOps tooling; hands-on with Datadog (APM, alerting), Elasticsearch/OpenSearch, and ArgoCD-based GitOps deployments; comfortable modernizing legacy CI/CD pipelines (e.g., Concourse, Jenkins) toward cloud-native approaches

What we offer: 

• The chance to work with a passionate team on solving one of the largest challenges globally 
• Competitive salary and benefits and equity participation 
• A dynamic, flexible and fun start-up work environment with a highly talented team

If you're curious to learn more about RapidSOS, you can check out https://rapidsos.com/blog/ 

Starting pay for a successful applicant will depend on a variety of job-related factors, which may include experience, relevant skills, training, education, location, business needs, or market demands. The salary range for this role is $160,000 - $195,000. This role will also be eligible to receive equity options. #LI-Remote

About Loop 

Loop is on a mission to streamline the movement of money between shippers, carriers, and brokers to unlock margin and increase liquidity in the supply chain.

Today, logistics payments are a big black box that unnecessarily drains thousands, if not millions, of dollars. Legacy services do not meet the market's needs. Transportation teams need a solution that unlocks insights from their complex datasets, rather than drowning them in manual workflows.

Loop harnesses AI expertise with deep logistics industry knowledge to deliver automated audits, streamlined resolutions, expedited payments, and most importantly actionable insights. All so that shippers and 3PLs can improve spend visibility, eliminate unnecessary costs, and optimize their transportation spend. Loop’s customers see a 4% reduction in costs and an 80% boost in back-office productivity.

Loop is a customer-obsessed company that sees the complexity in the supply chain as an opportunity rather than a challenge. Our foundational AI capitalizes on the messiness in the system to maximize outcomes for our customers.

Investors include Founders Fund, 8VC, Susa Ventures, Flexport, and 50 industry-leading angel investors. Our team brings subject matter expertise and experience from companies like Uber, Google, Flexport, Meta, Samsara, Intuit, and Rakuten – as well as traditional logistics companies like CH Robinson.

About You
As a full-stack engineer, you will work closely with founders and customers to understand and solve their logistics billing and payment pain points. You will help define the product and ship features that directly impact our customers. You will face and solve many complex technical challenges while you receive guidance and feedback from the team. You will shape the Loop DNA and define how we grow as a company.

Responsibilities

• Work cross-functionally with product, design, and sales to understand requirements and ship thoughtful solutions.
• Write high-quality code optimized for extensibility.
• Engage in code reviews to maintain a high bar of engineering excellence.
• Lead discussions and documentation to communicate and arrive at the best technical design.
• Work across different component boundaries, from frontend to backend, and even infrastructure layers.
• Promote better practices and share technical knowledge across the team.
• Help grow Loop through deliberate feedback on product, process, and culture.

Qualifications

• Willing to work in the NYC office three days a week
• Two years of software engineering experience.
• Experience with TypeScript and tools such as GraphQL, Relay, React, and Node.js.
• Experience working at early-stage companies where you shipped products end-to-end and wore many hats.

Under the Hood

• Infrastructure: AWS, CDK, Fargate ECS
• Backend: TypeScript, Node.js, Prisma, NestJS, PostgreSQL, Kafka, Redis, Elasticsearch, GraphQL
• Frontend: TypeScript, React, Relay, Ant Design, Vite, GraphQL

Compensation

• Base pay 120k - 190k

Benefits & Perks

• Premium Medical, Dental, and Vision Insurance plans
• Insurance premiums covered 100% for you
• Unlimited PTO
• Fireside chats with industry leading keynote speakers
• Generous professional development budget to feed your curiosity
• Physical and Mental fitness subsidies for yoga, meditation, gym, or ski memberships

Why you should join Loop? 

#LI-LOOP

About Headway

Headway's mission is to build a new mental health care system that everyone can access. We've built technology that takes the hardest parts of mental healthcare — finding the right provider, navigating insurance, managing payments — and makes them simple. We're now one of the fastest-growing companies in healthcare, with more than 200,000 patients finding care through Headway and thousands of therapists using our platform to grow their practices.

About Patient Core Experience at Headway

The Patient Core Experience team owns how patients find the right therapist on Headway. From search through the first several sessions, our four engineering pods — Onboarding, Profiles + Checkout, Ranking + Relevance, and Activation — build the systems that make great therapeutic matches happen.

We operate a three-sided marketplace (patients, providers, payers) with real complexity and massive impact. We're evolving from a provider directory into an intelligent matching platform that uses communication style, data-backed expertise signals, and patient-reported outcomes to connect people with therapists who are genuinely right for them.

Principles that guide us:

• Matching quality is the foundation of therapeutic outcomes — we obsess over getting patients to the right provider
• We ship fast and learn fast, but we protect patient trust above all else
• We build for the whole marketplace: patients, providers, and payers
• ML powers our systems, but empathy drives our product

The Problems You'll Solve

This role exists because we have hard, specific challenges that need senior engineering leadership to crack. Here's what your first year looks like:

Build an ML-powered matching system from the ground up. Our current matching is largely filter-based. We need to move to ML-powered ranking that incorporates provider communication style, expertise signals, and patient outcome data — without degrading the patient experience during the transition. You'll define the technical strategy for how we get there and own the execution across multiple pods.

Rearchitect team topology as the product evolves. We have four pods today, but the boundaries between ranking, activation, and onboarding will shift as we move toward intelligent matching. You'll need to evolve team structure, ownership boundaries, and technical interfaces as the product changes shape. This includes scaling the org from ~18 to ~25+ engineers while maintaining velocity and quality.

Close the gap between engineering output and patient outcomes. We have patient funnel metrics (intake-to-match, match-to-book, book-to-retained) but engineering doesn't yet co-own them tightly enough with Product and Data. You'll establish the operating model where engineering, product, and data science jointly own these metrics in a true triad — not one where engineering is an execution arm.

Define how your teams build software in the AI era. This isn't about adding a bullet point on AI tooling. You'll set concrete standards for how your ~30 engineers use AI-assisted development — how it changes code review, testing strategy, onboarding, and potentially team composition. You'll also own the AI/ML strategy for the product itself: where we use ML models vs. heuristics, how we handle explainability in a healthcare context, and how we build patient trust in AI-driven recommendations.

Key Responsibilities

• Set engineering strategy for the core patient experience in partnership with Product and Data Science leadership
• Lead 3 Engineering Managers; scale the org from ~18 to ~30+ engineers over the next 18 months
• Co-own patient funnel metrics with your Product and Data counterparts — not just deliver against them
• Drive delivery of ML-powered ranking, reimagined patient onboarding, and patient activation systems
• Build an engineering culture with clear standards for velocity, quality, and technical excellence — starting with honest assessment of where we fall short today

What You Bring

Required experience:

• 10+ years of software engineering experience, 5+ years managing engineering managers
• Led engineering for a consumer or marketplace product where search, matching, ranking, or personalization was core to the business
• Scaled an engineering org through a high-growth phase (25+ to 50+) while maintaining velocity and quality
• Technically strong enough to make sound architecture calls on ranking/ML systems, marketplace infrastructure, and consumer-facing surfaces — you don't write code daily, but you can review a system design and spot the problems
• Experience shipping ML-powered product features (search ranking, recommendations, personalization) at consumer scale
• Track record of moving business metrics (conversion, retention, engagement) through engineering-product partnership, not just delivering features on time
• Comfort working in a regulated industry where you can't just ship fast — you need to reason about bias, explainability, and patient safety in ML systems
• Practiced perspective on AI-augmented engineering workflows — you've led teams through adoption of AI development tools and have opinions on what changes and what doesn't

Nice-to-have:

• Healthcare experience or other regulated industries where data sensitivity and clinical consequences raise the stakes
• Experience with marketplace dynamics (supply/demand balancing, multi-sided incentive design)
• Experience building LLM-based product features (conversational interfaces, intelligent triage, AI-assisted workflows)
• Experience rethinking team structure or hiring profiles in response to AI productivity gains

Our Stack

Our platform runs on Python (Django/FastAPI) and TypeScript/React on the frontend. Elasticsearch powers search and ranking. PostgreSQL and Redis handle data storage and caching. We use dbt and Snowflake for data pipelines, Temporal for workflow orchestration, and custom ML models for matching. Everything runs on AWS.

You won't be writing code daily, but you'll need to engage deeply enough with these systems to make sound technical and organizational decisions.

You'll Love This Role If You Want To

• Solve a genuinely hard problem at the intersection of ML, marketplace dynamics, and healthcare — where getting matching right has real clinical consequences
• Shape an engineering org during a foundational transition, with high autonomy and strong executive support
• Co-own patient outcomes, not just engineering output
• Work at a company where the mission isn't marketing copy — patients are actually getting access to therapy they couldn't get before

Compensation and Benefits:

The expected base pay range for this position is $264,000 to $330,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

DEPARTMENT

Platform Engineering

Who You Are

Not only do you have the broad, extensive knowledge of core software development technologies, but you also have a high level of empathy and the interpersonal skills to work cross-functionally in an organization. You can grasp and communicate complex concepts to both technical and non-technical audiences. Being able to see the bigger picture, you bring people together to effectively prioritize, craft, and achieve plans. 

As an Engineering Manager at Justworks, you will help build and oversee a team of software engineers as a player-coach. You are responsible for coordinating projects, setting priorities, and motivating engineers to create and maintain features for our customers. The role involves a mix of hands-on coding and a strong technical background, with a passion for mentoring and growing teams.

Your Success Profile

What You Will Work On

• Work with the Engineers, Design, and Product Managers to prioritize, schedule and execute projects so we can quickly develop and ship new features
• Partner with Product to define and execute the team’s long-term strategy and quarterly roadmap, including setting goals and measuring progress/success towards them
• Communicate and coordinate with other teams (inside and outside of engineering) to understand the requirements and opportunities for improvement
• Mentor engineers to help them grow their technical skills by fostering a culture of  technical excellence, innovation and continuous learning 
• Provide guidance, both technical and non-technical, to direct reports
• Attract, hire, develop, and retain a high-performing team of engineers
• Help drive sound technical decision-making and lead technical conversations with other teams across Justworks
• Instill a sense of empathy in the team for our internal stakeholders to create better user experiences with an eye towards making workflows easier and more efficient
• Performs other related duties as assigned

How You Will Do Your Work

As an Engineering Manager, how results are achieved is paramount for your success and ultimately result in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies:

Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.

Resourcefulness - taking a can-do approach, even in the face of obstacles and constraints by assessing what’s in front of you and effectively and efficiently optimizing what you have, whether it's working on something new or thinking about how to do something better.

Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking.

Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

• Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. 
• Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

• 7+ years of experience as a software engineer working on production web applications
• Minimum of 1 year of experience managing a team of engineers
• Demonstrable experience prioritizing, crafting, and achieving plans
• Strong communication skills with ability to grasp and explain complex concepts to both technical and non-technical people
• High levels of empathy and interpersonal skills
• Solid understanding of core web development technologies. i.e. Data structures, data stores, algorithms, distributed systems and common patterns around these frameworks

Technologies Used

• Golang, Ruby on Rails, Javascript, MySQL, Kafka, Temporal, AWS, Git, Memcache, Redis, ElasticSearch, Docker, Terraform, Kubernetes, CircleCI, DataDog

The base wage range for this position based in our New York City Office is targeted at $192,500.00 - $211,750.00 per year.

#LI-DG2 #LI-Hybrid

Who You Are

You are self-driven and like to work with others to remove roadblocks. You are curious, and love to explore and learn new technologies. You have demonstrated the ability to build, deploy and maintain large-scale, complex applications. You care more about solutions and impacting the customer experience than using a particular tool or framework.

Your Success Profile

What You Will Work On

• Independently own larged-scoped projects from initial discovery through launch with a focus on outcomes and customer impact
• Collaborate with a cross functional team to find solutions to customer challenges
• Improve the performance, reliability, and scalability of our existing systems
• Promote engineering excellence through technical leadership, knowledge-sharing and mentorship
• Add capabilities to our high-volume, fault-tolerant processing infrastructure
• Enhance our testing, monitoring and continuous deployment infrastructure
• Keep extremely sensitive data compartmentalized and secure

How You Will Do Your Work

As a Software Engineer, how results are achieved is paramount for your success and ultimately result in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies:

Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.

Resourcefulness - taking a can-do approach, even in the face of obstacles and constraints by assessing what’s in front of you and effectively and efficiently optimizing what you have, whether it's working on something new or thinking about how to do something better.

Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking.

Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

• Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. 
• Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

• Minimum 1 year of professional development experience
• Proficiency in server-side languages like Python, Java, Node.js, or Ruby (Go experience is a plus)
• Solid SQL skills and understanding of database fundamentals
• Experience with cloud platforms, preferably AWS (basic deployment and monitoring)
• Interest in helping junior developers and contributing to team knowledge sharing
• Experience collaborating with designers and product managers on feature development

Technologies Used

• Golang, Ruby on Rails, Javascript, MySQL, Kafka, AWS, Git, Memcache, Redis, ElasticSearch, Docker, Terraform, Kubernetes, CircleCI, DataDog

The base wage range for this position based in our New York City Office is targeted at $115,000.00 to $160,000.00 per year.

#LI-AJ #LI-Hybrid 

Who You Are

You are self-driven and like to work with others to remove roadblocks. You are curious, and love to explore and learn new technologies. You have demonstrated the ability to build, deploy and maintain large-scale, complex applications. You care more about solutions and impacting the customer experience than using a particular tool or framework.

Your Success Profile

What You Will Work On

• Independently own larged-scoped projects from initial discovery through launch with a focus on outcomes and customer impact
• Collaborate with a cross functional team to find solutions to customer challenges
• Improve the performance, reliability, and scalability of our existing systems
• Promote engineering excellence through technical leadership, knowledge-sharing and mentorship
• Add capabilities to our high-volume, fault-tolerant processing infrastructure
• Enhance our testing, monitoring and continuous deployment infrastructure
• Keep extremely sensitive data compartmentalized and secure

How You Will Do Your Work

As a Senior Software Engineer, how results are achieved is paramount for your success and ultimately result in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies:

Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.

Resourcefulness - taking a can-do approach, even in the face of obstacles and constraints by assessing what’s in front of you and effectively and efficiently optimizing what you have, whether it's working on something new or thinking about how to do something better.

Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking.

Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

• Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. 
• Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

• Minimum of 5 years of professional hands-on experience
• Mastery of modern server side languages, Golang is a plus but not required
• Proficiency with SQL
• Proficiency with cloud infrastructure management, preferably AWS
• Experience supporting and mentoring other engineers and acting as a “force multiplier”
• Experience working closely with designers and product managers

Technologies Used

• Golang, Ruby on Rails, Javascript, MySQL, Kafka, AWS, Git, Memcache, Redis, ElasticSearch, Docker, Terraform, Kubernetes, CircleCI, DataDog

The base wage range for this position based in our New York City Office is targeted at $167,500.00 to $235,000.00 per year.

#LI-AD1 #LI-Hybrid #LI-JS1

Who You Are

Not only do you have the broad, extensive knowledge of core software development technologies, but you also have a high level of empathy and the interpersonal skills to work cross-functionally in an organization. You can grasp and communicate complex concepts to both technical and non-technical audiences. Being able to see the bigger picture, you bring people together to effectively prioritize, craft, and achieve plans. 

As an Engineering Manager at Justworks, you will help build and oversee a team of software engineers as a player-coach. You are responsible for coordinating projects, setting priorities, and motivating engineers to create and maintain features for our customers. The role involves a mix of hands-on coding and a strong technical background, with a passion for mentoring and growing teams.

What You Will Work On

As Engineering Manager for Workforce Payments, you will lead the team that builds the core computation layer powering Justworks’ payroll, money movement, and tax calculation products, ensuring our customers can confidently and accurately pay their workforce.

This team is mission-critical, operating at the heart of our platform's financial accuracy and compliance. You will lead technical decision-making and be expected to take initiative in identifying projects that will enable us to meet key business goals, such as scaling our tax and money movement capabilities, improving the integrity of our financial ledger, and developing robust platform interfaces for payroll data. We’re looking for people who have a passion for solving real-world, complex financial problems and will thrive building a growing team focused on reliability and precision.

• Work with the Engineers, Design, and Product Managers to prioritize, schedule and execute projects so we can quickly develop and ship new features
• Partner with Product to define and execute the team’s long-term strategy and quarterly roadmap, including setting goals and measuring progress/success towards them
• Communicate and coordinate with other teams (inside and outside of engineering) to understand the requirements and opportunities for improvement
• Mentor engineers to help them grow their technical skills by fostering a culture of technical excellence, innovation and continuous learning 
• Provide guidance, both technical and non-technical, to direct reports
• Attract, hire, develop, and retain a high-performing team of engineers
• Help drive sound technical decision-making and lead technical conversations with other teams across Justworks
• Instill a sense of empathy in the team for our internal stakeholders to create better user experiences with an eye towards making workflows easier and more efficient
• Perform other related duties as assigned

How You Will Do Your Work

As an Engineering Manager, how results are achieved is paramount for your success and ultimately result in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies:

Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.

Resourcefulness - taking a can-do approach, even in the face of obstacles and constraints by assessing what’s in front of you and effectively and efficiently optimizing what you have, whether it's working on something new or thinking about how to do something better.

Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking.

Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

• Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. 
• Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

• 7+ years of experience as a software engineer working on production web applications
• Minimum of 1 year of experience managing a team of engineers
• Demonstrable experience prioritizing, crafting, and achieving plans
• Strong communication skills with ability to grasp and explain complex concepts to both technical and non-technical people
• High levels of empathy and interpersonal skills
• Solid understanding of core web development technologies. i.e. Data structures, data stores, algorithms, distributed systems and common patterns around these frameworks

Technologies Used

• Golang, Ruby on Rails, Javascript, MySQL, Kafka, AWS, Git, Memcache, Redis, ElasticSearch, Docker, Terraform, Kubernetes, CircleCI, DataDog

The base wage range for this position based in our New York City Office is targeted at $205,000.00 to $261,500.00 per year.

Who You Are

Not only do you have the broad, extensive knowledge of core software development technologies, but you also have a high level of empathy and the interpersonal skills to work cross-functionally in an organization. You can grasp and communicate complex concepts to both technical and non-technical audiences. Being able to see the bigger picture, you bring people together to effectively prioritize, craft, and achieve plans. 

As an Engineering Manager at Justworks, you will help build and oversee a team of software engineers as a player-coach. You are responsible for coordinating projects, setting priorities, and motivating engineers to create and maintain features for our customers. The role involves a mix of hands-on coding and a strong technical background, with a passion for mentoring and growing teams.

What You Will Work On

The International (INTL) team at Justworks is responsible for building a set of cutting-edge payroll and hiring products that help small, ambitious businesses expand their talent base globally. By helping these companies navigate international employment practices and taking care of regulatory burden, they make it possible for these businesses to grow and thrive, and for talented professionals everywhere to gain access to better employment opportunities.

• Work with the Engineers, Design, and Product Managers to prioritize, schedule and execute projects so we can quickly develop and ship new features
• Partner with Product to define and execute the team’s long-term strategy and quarterly roadmap, including setting goals and measuring progress/success towards them
• Communicate and coordinate with other teams (inside and outside of engineering) to understand the requirements and opportunities for improvement
• Mentor engineers to help them grow their technical skills by fostering a culture of technical excellence, innovation and continuous learning 
• Provide guidance, both technical and non-technical, to direct reports
• Attract, hire, develop, and retain a high-performing team of engineers
• Help drive sound technical decision-making and lead technical conversations with other teams across Justworks
• Instill a sense of empathy in the team for our internal stakeholders to create better user experiences with an eye towards making workflows easier and more efficient
• Perform other related duties as assigned

How You Will Do Your Work

As an Engineering Manager, how results are achieved is paramount for your success and ultimately result in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies:

Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.

Resourcefulness - taking a can-do approach, even in the face of obstacles and constraints by assessing what’s in front of you and effectively and efficiently optimizing what you have, whether it's working on something new or thinking about how to do something better.

Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking.

Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

• Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. 
• Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

• 7+ years of experience as a software engineer working on production web applications
• Minimum of 1 year of experience managing a team of engineers
• Demonstrable experience prioritizing, crafting, and achieving plans
• Strong communication skills with ability to grasp and explain complex concepts to both technical and non-technical people
• High levels of empathy and interpersonal skills
• Solid understanding of core web development technologies. i.e. Data structures, data stores, algorithms, distributed systems and common patterns around these frameworks

Technologies Used

• Golang, Ruby on Rails, Javascript, MySQL, Kafka, AWS, Git, Memcache, Redis, ElasticSearch, Docker, Terraform, Kubernetes, CircleCI, DataDog

The base wage range for this position based in our New York City Office is targeted at $205,000.00 to $261,500.00 per year.

Who You Are

Not only do you have the broad, extensive knowledge of core software development technologies, but you also have a high level of empathy and the interpersonal skills to work cross-functionally in an organization. You can grasp and communicate complex concepts to both technical and non-technical audiences. Being able to see the bigger picture, you bring people together to effectively prioritize, craft, and achieve plans. 

As an Engineering Manager at Justworks, you will help build and oversee a team of software engineers as a player-coach. You are responsible for coordinating projects, setting priorities, and motivating engineers to create and maintain features for our customers. The role involves a mix of hands-on coding and a strong technical background, with a passion for mentoring and growing teams.

What You Will Work On

The Advisors & Integrations team is a critical part of the growing Justworks ecosystem. They are responsible for managing a set of difficult, detailed integrations with third-party systems, and for maintaining the external, production-grade API that gives our customers and partners secure and stable access to their data and the broader set of Justworks platform capabilities.

• Work with the Engineers, Design, and Product Managers to prioritize, schedule and execute projects so we can quickly develop and ship new features
• Partner with Product to define and execute the team’s long-term strategy and quarterly roadmap, including setting goals and measuring progress/success towards them
• Communicate and coordinate with other teams (inside and outside of engineering) to understand the requirements and opportunities for improvement
• Mentor engineers to help them grow their technical skills by fostering a culture of technical excellence, innovation and continuous learning 
• Provide guidance, both technical and non-technical, to direct reports
• Attract, hire, develop, and retain a high-performing team of engineers
• Help drive sound technical decision-making and lead technical conversations with other teams across Justworks
• Instill a sense of empathy in the team for our internal stakeholders to create better user experiences with an eye towards making workflows easier and more efficient
• Perform other related duties as assigned

How You Will Do Your Work

As an Engineering Manager, how results are achieved is paramount for your success and ultimately result in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies:

Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.

Resourcefulness - taking a can-do approach, even in the face of obstacles and constraints by assessing what’s in front of you and effectively and efficiently optimizing what you have, whether it's working on something new or thinking about how to do something better.

Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking.

Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

• Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. 
• Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

• 7+ years of experience as a software engineer working on production web applications
• Minimum of 1 year of experience managing a team of engineers
• Demonstrable experience prioritizing, crafting, and achieving plans
• Strong communication skills with ability to grasp and explain complex concepts to both technical and non-technical people
• High levels of empathy and interpersonal skills
• Solid understanding of core web development technologies. i.e. Data structures, data stores, algorithms, distributed systems and common patterns around these frameworks

Technologies Used

• Golang, Ruby on Rails, Javascript, MySQL, Kafka, AWS, Git, Memcache, Redis, ElasticSearch, Docker, Terraform, Kubernetes, CircleCI, DataDog

The base wage range for this position based in our New York City Office is targeted at $205,000.00 to $261,500.00 per year.

Who You Are

Not only do you have the broad, extensive knowledge of core software development technologies, but you also have a high level of empathy and the interpersonal skills to work cross-functionally in an organization. You can grasp and communicate complex concepts to both technical and non-technical audiences. Being able to see the bigger picture, you bring people together to effectively prioritize, craft, and achieve plans. 

As an Engineering Manager at Justworks, you will help build and oversee a team of software engineers as a player-coach. You are responsible for coordinating projects, setting priorities, and motivating engineers to create and maintain features for our customers. The role involves a mix of hands-on coding and a strong technical background, with a passion for mentoring and growing teams.

Your Success Profile

What You Will Work On

• Work with the Engineers, Design, and Product Managers to prioritize, schedule and execute projects so we can quickly develop and ship new features
• Partner with Product to define and execute the team’s long-term strategy and quarterly roadmap, including setting goals and measuring progress/success towards them
• Communicate and coordinate with other teams (inside and outside of engineering) to understand the requirements and opportunities for improvement
• Mentor engineers to help them grow their technical skills by fostering a culture of technical excellence, innovation and continuous learning 
• Provide guidance, both technical and non-technical, to direct reports
• Attract, hire, develop, and retain a high-performing team of engineers
• Help drive sound technical decision-making and lead technical conversations with other teams across Justworks
• Instill a sense of empathy in the team for our internal stakeholders to create better user experiences with an eye towards making workflows easier and more efficient
• Performs other related duties as assigned

How You Will Do Your Work

As an Engineering Manager, how results are achieved is paramount for your success and ultimately result in our success as an organization. In this role, your foundational knowledge, skills, abilities and personal attributes are anchored in the following competencies:

Good judgment - the exercise of critical thinking, analyzing and assessing problems and implications, identifying patterns, making connections of underlying issues, understanding risks and developing mitigation strategies, and taking ownership of the outcome.

Resourcefulness - taking a can-do approach, even in the face of obstacles and constraints by assessing what’s in front of you and effectively and efficiently optimizing what you have, whether it's working on something new or thinking about how to do something better.

Teamwork and communication - putting our collective best together through documentation, collaboration, relationship-building, listening, empathy, recruiting, and evangelism.Influence and leadership - fostering a community of knowledge-sharing, collaboration, mentorship, and forward-thinking.

Skills and knowledge - the capacity to actively learn and apply specific domain knowledge, know-how, and best practices to continually enhance and improve.

In addition, all Justworkers focus on aligning their behaviors to our core values known as COGIS. It stands for:

• Camaraderie - Day to day you can be seen working together toward a higher purpose. You like to have fun. You’re an active listener, treat people respectfully, and have a strong desire to know and help others.
• Openness - Your default is to be open. You're willing to share information, understand other perspectives, and consider new possibilities. You’re curious, ask open questions, and are receptive to thoughts and feedback from others.
• Grit - You demonstrate grit by having the courage to commit and persevere. You’re committed, earnest, and dive in to get the job done well with a positive attitude.
• Integrity - Simply put, do what you say and say what you'll do. You’re honest and forthright, have a strong moral compass, and strive to match your words with your actions while leading by example. 
• Simplicity - Be like Einstein: “Everything should be made as simple as possible, but no simpler.”

Qualifications

• 7+ years of experience as a software engineer working on production web applications
• Minimum of 1 year of experience managing a team of engineers
• Demonstrable experience prioritizing, crafting, and achieving plans
• Strong communication skills with ability to grasp and explain complex concepts to both technical and non-technical people
• High levels of empathy and interpersonal skills
• Solid understanding of core web development technologies. i.e. Data structures, data stores, algorithms, distributed systems and common patterns around these frameworks

Technologies Used

• Golang, Ruby on Rails, Javascript, MySQL, Kafka, AWS, Git, Memcache, Redis, ElasticSearch, Docker, Terraform, Kubernetes, CircleCI, DataDog

The base wage range for this position based in our New York City Office is targeted at $205,000.00 to $261,500.00 per year.

#LI-AJ1

#LI-Hybrid

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

What It’s Like to Work at YipitData:

YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals.

From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

• Ownership That Matters: You’ll lead high-impact projects with real business outcomes
• Rapid Growth: We compress years of learning into months
• Merit Over Titles: Trust and responsibility are earned through execution, not tenure
• Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention

If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.

About The Role:

We are looking for a highly skilled Data Engineering Manager to join our Data Engineering team and play a central role in building and scaling our vendor universe—the database of companies we track and analyze. Reporting directly to the Senior Director of Data Engineering, this role demands technical leadership, independence, and the ability to deliver under tight deadlines in a fast-paced environment.

As a Data Engineering Manager, you will design and maintain large-scale data pipelines, define best practices for ETL, and integrate emerging technologies to keep our platform on the cutting edge. You’ll work cross-functionally to deliver reliable, efficient, and scalable data solutions while contributing hands-on expertise in Databricks, Airflow, PySpark, and SQL.

What You’ll Do

• Own the design, build, and optimization of end-to-end data pipelines that power our vendor universe.
• Establish and enforce best practices in data modeling, orchestration, and system reliability.
• Collaborate with product, engineering, and business stakeholders to translate requirements into robust, scalable data solutions.
• Work extensively with Databricks and Airflow for large-scale data processing and orchestration.
• Troubleshoot and resolve complex pipeline issues to ensure reliability and performance.
• Contribute to the team’s technical strategy, helping drive improvements in scalability, performance, and efficiency.
• Lead, mentor, and support engineers through challenges, code reviews, and project execution.

What We’re Looking For

• 6+ years of professional experience in Data Engineering or equivalent technical roles (e.g., data architecture, big data development, or ETL engineering).
• 2+ years of managerial experience, including mentoring, team leadership, and supporting delivery.
• Strong expertise in SQL and distributed data systems.
• Proficiency with PySpark and Databricks for processing and scaling large datasets.
• Hands-on experience with Airflow for pipeline orchestration (Dagster/dbt a plus).
• Proven track record of delivering in fast-paced, deadline-driven environments with minimal oversight.
• Strong problem-solving skills and ability to translate business needs into scalable technical solutions.
• Excellent communication and collaboration skills with both technical and non-technical stakeholders.

Nice to Have

• Experience leveraging AI/ML models, vector search, or Elasticsearch to enhance data pipelines.
• Familiarity with Django or similar web frameworks to support data-driven applications.

This is a remote-friendly opportunity that can sit in NYC (where our headquarter is located), one of our office hubs (Austin, Miami, Denver or Mountain View,), or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. 

As Our Data Engineering Manager You Will:

• Working with product team to bring an idea to reality
• Leveraging cutting edge technologies to solve complex data problems
• Helping to lead a team through different data models and architectural decisions

You Are Likely To Succeed If:

• Experience leveraging AI/ML models, vector search, or Elasticsearch to enhance data pipelines.
• Experience building a reliable and efficient data pipelines
• Ability to meet tight deadlines in a fast paced environment

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary

• We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
• The annual salary for this position is anticipated to be up between $190,000~ $230,000, with a variable target up to 15% The compensation package also includes equity. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. We also have office hubs in Austin, Miami, and Mountain View. If the remote work is performed outside of these offices, income may be subject to New York State tax withholding.

Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.

Job Applicant Privacy Notice

About Sony Music Entertainment

At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time.
Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship.
Sony Music Entertainment is a member of the Sony family of global companies.

Sony Music Product, Design, Engineering and Global Operations (PDEGO) is looking for a Lead Software Engineer to join our Content Product development team.

What you'll do:

• Work with a cross-functional team to build products that empower artists and record labels across the globe
• Contribute to all tiers of our architecture to produce high quality, robust user experiences
• Write clean, tested, maintainable code
• Work closely with product management to understand client requirements
• Design, communicate and execute a vision in collaboration with your team and other teams across the technology organization
• Participate in re-architecture, refinement and technical design of various systems
• Mentor more junior engineers and contribute to a culture of continuous learning

Who you are:

• Seeking 15+ years of software engineering experience in the following areas:
• Experience implementing distributed systems
• Experience in a scripting language (we use Python and JavaScript)
• Experience building frontend applications (we use TypeScript, React, and GraphQL)
• Experience with various database technologies and query languages (we use Neo4j, Kafka,MySQL, Snowflake, Elasticsearch, and more)
• Familiar with low-latency techniques to help improve page load time and reliability
• Experience with microservices, APIs, and related standards such as REST, HTTP, and OAuth
• Comfortable with AWS Cloud technologies
• Experience using log analysis to investigate bugs and performance issues
• Experience writing unit and integration tests
• Experience working in an agile team

The Ideal Candidate 

• Can mobilize teams around a vision and help lead execution of that vision
• Experience with data modeling and schema design of real-world use cases
• Defines best practices and standards within the team and helps build tooling to make those easy to follow
• Proactive problem solving
• Experience optimizing tables, schemas and data structures
• Ability to determine sensible KPIs and optimize against them

What we give you:

• You join an inclusive, collaborative and global community where you have the opportunity to channel your passion every day  
• A modern office environment designed to foster productivity, creativity, and teamwork empowering you to bring your best 
• An attractive and comprehensive benefits package including medical, dental, vision, life & disability coverage, and 401K + employer matching 
• Voluntary benefits like company-paid identity theft protection and resources for pets, mental health and meditation resources, industry-leading fertility coverage, fully paid leave for childbirth or bonding, fully paid leave for caregivers, programs for loved ones with developmental disabilities and neurodiversity, subsidized back-up child and elder care, and reimbursement for adoption, surrogacy, tuition, and student loans 
• Investment in your professional growth and development enabling you to thrive in our vibrant community.  
• The space to accelerate progress, positively disrupt, and create what happens next  
• Time off for a winter recess

Sony Music is committed to providing equal employment opportunity for all persons regardless of age, disability, national origin, race, color, religion, sex, sexual orientation, gender, gender identity or expression, pregnancy, veteran or military status, marital and civil partnership/union status, alienage or citizenship status, creed, genetic information or any other status protected by applicable federal, state, or local law.

The Search & Recommendations team builds the search platforms and infrastructure used across Figma. Our team is responsible for providing Figma AI agents with the most relevant context from across the Figma ecosystem—from design system assets to code—in order to complete tasks with high quality and low latency. And, our team maintains features critical to every designer’s workflow, including visual, asset, and file search. We’re an inter-disciplinary team that works across the stack, from training reranking models to managing our feature store platform to keeping our search infrastructure reliable as we scale.

We’re looking for a seasoned engineering leader to support & grow our team, define & execute on our technical strategy, and collaborate with teams across engineering to build cutting-edge AI features.

This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:

• Support a team of engineers with skillsets ranging from infrastructure to model development, including hiring and career development.
• Partner with our product engineering, infrastructure, data science, and product management teams to deliver cutting-edge Figma AI features.
• Own the team’s technical strategy, roadmap, and goals.
• Roll up your sleeves as needed to get involved with the technical details and improve execution efficiency.
• Grow your career within an engaged and creative engineering community.
• Build an inclusive, diverse team and culture through hiring, community events, and programs in partnership with teams across Figma.

We’d love to hear from you if you have:

• 4+ years of engineering management experience leading high-performing, fast-moving teams, ideally in the AI space.
• 8+ years of total engineering experience, ideally reaching a staff engineering level as an individual contributor.
• Prior experience building search, recommendation, or AI systems as an engineering manager or individual contributor.
• A proven track record of motivating, mentoring, and guiding experienced AI engineering leads.

While it’s not required, it’s an added plus if you also have:

• Expertise in building and maintaining systems built on top of OpenSearch or ElasticSearch.
• Experience working with LLMs at production scale.

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

How you will make an impact:

Engineering at Iterable is responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive to non-technical users is extremely important. Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

One of our core values is Growth Mindset and Iterable is a company where everyone can continuously learn. If this is an idea that excites you, please do apply as we value applicants for the skills they bring beyond a job description

Team Description? 

How you will make a difference:

As a Senior Software Engineer working on the User Data Infrastructure team, you will:

• Design and develop software for a highly scalable and reliable multi-tenant system
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Enhance observability of data at ingestion, query, and storage layers
• Improve automation of our Elasticsearch cluster management system

We are looking for people who have :

• Relevant industry experience building production-ready, scalable applications
• Proficiency  in at least one programming language (ideally Scala and/or Java)
• Experience with Elasticsearch
• Experience with NoSQL and SQL databases  
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala, Java
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Kafka, AWS, Pulsar
• Other Relevant Technologies: Docker / Kubernetes

Bonus Points

• Experience working with large code base
• Experience with functional programming and the JVM

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

As a Software Engineer II at Iterable, you'll independently develop, maintain, and deliver moderate-complexity projects on your team. You'll be working with the Delivery team which builds and maintains the pipeline responsible to getting messages to end users on time. Ultimately, we help enable our customers to provide relevant, timely, and joyful experiences to their own users.

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You are recognized as a subject matter expert in a particular focus area and consistently demonstrate high-quality, on-time delivery. You take ownership of the full lifecycle of your code — from design through production monitoring and maintenance. One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You'll get to:

• Execute on core work with minimal guidance in a way that increases team velocity while maintaining high quality
• Break down projects into milestones, provide accurate cost estimates, and proactively keep stakeholders informed
• Architect and develop solutions on a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Write well-structured, maintainable, documented, and tested code with an eye toward future reuse and modularization
• Diagnose and fix tricky bugs, prevent incidents through appropriate testing, and maintain a track record of drama-free deploys
• Provide in-depth code reviews and contribute to design reviews with respectful, effective communication
• Recognize potential scalability issues, bring them to the Architecture Support Group (ASG), and participate in remediation
• Collaborate actively to unblock teammates, give and receive hard feedback with respect and empathy, and solicit input from people of diverse backgrounds
• Participate in recruiting and develop effective interviewing skills

We are looking for people who have:

• 3+ years of relevant software development experience
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience building production-ready, scalable web applications
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems
• Strong interpersonal skills and the ability to collaborate in a highly remote/distributed environment
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning — always improving yourself and the team around you
• Willingness to take on-call responsibilities
• Fluency in English (verbal and written)

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis, CRDB
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points:

• Experience with end-to-end, integration, and performance testing
• Exposure to enterprise systems

Perks & Benefits:

• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $114,500 - $188,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

How you will make an impact:

As a Senior Software Engineer at Iterable, you'll be responsible for the core platform used by our growing customer base. Making this platform easy to use and attractive for non-technical users is extremely important. 

Our Engineering team works closely with Product, Design, Infrastructure, and SRE to bring next-generation marketing solutions to our massively scalable platform. We believe in building an Engineering culture guided by our company values which you can learn more about here.

You will be working with the Analytics Application team that provides accurate and actionable insights to our customers so that they can establish a clear understanding of the effectiveness of their marketing efforts. Ultimately, we help enable our customers to provide the most relevant and joyful experiences to their own users.

One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.

You’ll get to:

• Own the backend of the product with a huge amount of autonomy
• Architect and develop solutions to scale a complex platform that reaches millions of users
• Collaborate with frontend, backend, product, and design to conceptualize and build new product features
• Provide direction for your team and guide standards across the Engineering organization
• Improve Engineering processes, tooling, and efficiency
• Mentor and guide team members 

We are looking for people who have:

• Relevant industry experience building production-ready, scalable web applications
• Proficiency in at least one modern programming language (ideally Scala and/or Java)
• Experience with Elasticsearch and/or other relevant technologies such as Postgres and data pipeline systems. 
• Ability to facilitate discussions within your team and cross-functionally
• A desire to be part of a values-driven Engineering team
• Passion for learning -- always improving yourself and the team around you

Our Technology Stack:

• Programming Language: Scala
• Databases: Elasticsearch, Postgres, Redis
• Infrastructure: Pulsar, Kafka, AWS
• Other Relevant Technologies: Docker / Kubernetes, React

Bonus Points

• Experience with large-scale performance testing 
• Experience with data processing and advanced methodologies
• Experience with functional programming and the JVM
• Experience using AI IDEs or workflows

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

About the Role:

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

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

As an Engineering Manager, Machine Learning (ML) Operations in the Technology & Engineering division, you will be responsible for leading and managing PitchBook’s MLOps team. The team is responsible for enabling PitchBook’s Machine Learning teams and practitioners by providing tools and golden paths that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC). Your team’s work will support projects in a variety of domains, including Generative AI (GenAI), Large Language Models (LLMs), Natural Language Processing (NLP), Classification, and Regression. Your role will be critical in driving AI (Artificial Intelligence) innovations across the organization.

Primary Job Responsibilities:

• Lead the MLOps team direction and execution (operations, processes, practices, and standards), working closely with engineering leadership and product management to craft roadmaps, define KPIs, and achieve success criteria
• Ensure effective communication and coordination across geographically dispersed teams. Oversee the enablement of scalable solutions that meet high standards of reliability and efficiency
• Champion the adoption and integration of ML best practices at PitchBook, fostering a culture of innovation and experimentation to drive the development of high-quality AI products
• Serve as a force multiplier by removing roadblocks, implementing process improvements, providing frequent and actionable feedback to team members, and building practices for ideation and innovation
• Bridge the gap between business/product needs and execution, including building and delivering on group-level objectives and key results, identifying resource needs, and building execution plans for initiatives
• Ensure MLOps roadmap items are delivered on time and have exceptional quality
• Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities
• Describe technical content in intuitive ways for a variety of audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with executive stakeholders
• Establish and drive a culture founded on creating belonging, psychological safety, candor, connection, cooperation, and fun
• Understand how to apply agile, lean, and principles of fast flow to team efficiency and productivity 
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Data Science, or a related field
• 3+ years of experience in an engineering leadership role, managing globally distributed teams
• 6+ years of experience in hands-on development of Machine Learning algorithms
• 6+ years of experience in hands-on deployment of Machine Learning services
• 6+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance
• 6+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
• Experience with at least 70%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, and KubeFlow
• Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement
• Experience in cloud-native delivery with a deep practical understanding of containerization technologies such as Kubernetes and Docker, and the ability to manage these across different regions
• Proficiency in GitOps and creation/management of CI/CD pipelines
• Demonstrated experience building and using SQL/NoSQL databases
• Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools
• Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context
• Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions
• Ability to be a team player who can also work independently
• Experience working across multiple development teams is a plus
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily 
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

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

Emotional Health 

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

Social Health 

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

Financial Health 

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

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

Compensation

• Annual base salary: $240,000-$300,000
• Target annual bonus percentage: 15%

Working Conditions:

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

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

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

#LI-TK1

#LI-Onsite

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

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

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

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

WHAT WE DO

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

RESPONSIBILITIES

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

REQUIREMENTS

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

PLUSES

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

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

HOW TO APPLY

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

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

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

#LI-BW1

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

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

Rockstar Games is seeking a passionate and experienced Senior Web Engineer with a focus on the “back of the frontend” to join our online development team. This role will involve a deep understanding of how high-profile frontends are delivered, secured and integrated via services and APIs with less focus on the presentation. 

The successful candidate will be working on innovative technology with an internationally established team, while having great attention to detail, being a strong collaborator and have outstanding communication and interpersonal skills.

We are looking for someone who is passionate about games, eager for new challenges, and ready to continue our legacy of creating the greatest games in the world. 

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

WHAT WE DO 

• The Rockstar Games Online Services team creates connected experiences that are found across our game franchises.
• We architect and maintain high-impact features to support the development of the Rockstar community and websites.
• We create innovative in-game experiences, including user-generated content.
• We build services and tools that support our consumer-facing experiences and our internal business needs. 

RESPONSIBILITIES 

• Development of accessible front-end components and applications using React.
• Integrating front-end applications with Next.js and ASP.NET Core (C#).
• Develop comprehensive test suites.
• Web performance optimization.
• Collaboration with other Rockstar technology teams across our worldwide studios. 

REQUIREMENTS

• A degree in computer science or 5+ years of experience in professional web development.
• 5+ years of experience using React.
• 5+ years of experience using Node.js or C#. 
• Extensive experience in accessible web development.
• Ability to effectively facilitate communication with teams in various locations worldwide.
• Experience with automated testing, shared code, and source control, preferably Git.
• Knowledge of Agile, software development, and web-security best practices.
• Passion for web technologies and a desire to remain up to date with the latest technologies.  

PLUSES 

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

• Experience working on high-traffic, responsive websites and applications.
• Experience with Next.js SSR/ISR.
• Exposure to Elasticsearch/OpenSearch.
• Exposure to observability tools.
• Knowledge of Rockstar’s game titles and passion for playing video games. 

HOW TO APPLY

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

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

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

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

Rockstar Games is seeking a passionate and experienced Senior Web Engineer with a focus on the “back of the frontend” to join our online development team. This role will involve a deep understanding of how high-profile frontends are delivered, secured and integrated via services and APIs with less focus on the presentation. 

The successful candidate will be working on innovative technology with an internationally established team, while having great attention to detail, being a strong collaborator and have outstanding communication and interpersonal skills.

We are looking for someone who is passionate about games, eager for new challenges, and ready to continue our legacy of creating the greatest games in the world. 

This is a full-time, in-office position based out of Rockstar’s unique game development studio in Oakville, ON. 

WHAT WE DO 

• The Rockstar Games Online Services team creates connected experiences that are found across our game franchises.
• We architect and maintain high-impact features to support the development of the Rockstar community and websites.
• We create innovative in-game experiences, including user-generated content.
• We build services and tools that support our consumer-facing experiences and our internal business needs. 

RESPONSIBILITIES 

• Development of accessible front-end components and applications using React.
• Integrating front-end applications with Next.js and ASP.NET Core (C#).
• Develop comprehensive test suites.
• Web performance optimization.
• Collaboration with other Rockstar technology teams across our worldwide studios. 

REQUIREMENTS

• A degree in computer science or 5+ years of experience in professional web development.
• 5+ years of experience using React.
• 5+ years of experience using Node.js or C#. 
• Extensive experience in accessible web development.
• Ability to effectively facilitate communication with teams in various locations worldwide.
• Experience with automated testing, shared code, and source control, preferably Git.
• Knowledge of Agile, software development, and web-security best practices.
• Passion for web technologies and a desire to remain up to date with the latest technologies.  

PLUSES 

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

• Experience working on high-traffic, responsive websites and applications.
• Experience with Next.js SSR/ISR.
• Exposure to Elasticsearch/OpenSearch.
• Exposure to observability tools.
• Knowledge of Rockstar’s game titles and passion for playing video games. 

HOW TO APPLY

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

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

For those based in Toronto, Rockstar will provide accommodations to job applicants and employees as long as such accommodations do not pose an undue hardship on Rockstar, and consistent with its obligations under the Human Rights Code and the Accessibility for Ontarians with Disabilities Act.

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

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

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

Rockstar Games is seeking a passionate and experienced Senior Web Engineer with a focus on the “back of the frontend” to join our online development team. This role will involve a deep understanding of how high-profile frontends are delivered, secured and integrated via services and APIs with less focus on the presentation. 

The successful candidate will be working on innovative technology with an internationally established team, while having great attention to detail, being a strong collaborator and have outstanding communication and interpersonal skills.

We are looking for someone who is passionate about games, eager for new challenges, and ready to continue our legacy of creating the greatest games in the world. 

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

WHAT WE DO 

• The Rockstar Games Online Services team creates connected experiences that are found across our game franchises.
• We architect and maintain high-impact features to support the development of the Rockstar community and websites.
• We create innovative in-game experiences, including user-generated content.
• We build services and tools that support our consumer-facing experiences and our internal business needs. 

RESPONSIBILITIES 

• Development of accessible front-end components and applications using React.
• Integrating front-end applications with Next.js and ASP.NET Core (C#).
• Develop comprehensive test suites.
• Web performance optimization.
• Collaboration with other Rockstar technology teams across our worldwide studios. 

REQUIREMENTS

• A degree in computer science or 5+ years of experience in professional web development.
• 5+ years of experience using React.
• 5+ years of experience using Node.js or C#. 
• Extensive experience in accessible web development.
• Ability to effectively facilitate communication with teams in various locations worldwide.
• Experience with automated testing, shared code, and source control, preferably Git.
• Knowledge of Agile, software development, and web-security best practices.
• Passion for web technologies and a desire to remain up to date with the latest technologies.  

PLUSES 

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

• Experience working on high-traffic, responsive websites and applications.
• Experience with Next.js SSR/ISR.
• Exposure to Elasticsearch/OpenSearch.
• Exposure to observability tools.
• Knowledge of Rockstar’s game titles and passion for playing video games. 

HOW TO APPLY

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

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

About the Role:

As a Senior Engineering Manager in the Search & Listings (S&L) organization, you will lead a team at the center of a real estate technology platform that simplifies the process of finding, buying, and selling homes. S&L encompasses bringing in property and listing data from hundreds of sources nationwide, cleaning the data and making them accessible across our customer platform, and building rich experiences for agents and consumers to search, track, share, and explore the properties and listings. Our tools are foundational in enabling the entire Compass platform as a place which enables agents to work more efficiently, putting time back in their hands to grow their businesses.

Your role oversees critical products and services which are foundational to our agent workflows, including both the agent and consumer facing real estate search experience. Given its central position within the Compass platform and its integration with numerous core products, this role requires a seasoned manager who maintains the highest operational standards while also being skilled in facilitating essential discussions with stakeholders across various functions and organizations. Your role will involve working on projects that impact the highest priorities of our technology roadmap and the business, as well as responsibility for managing a large infrastructure footprint with excellence in resilience and cost-efficiency, all while collaborating cross-functionally with multiple teams. Engineering managers influence teams outside of their own organization and deliver results that move the needle at the organizational level and impact company-wide goals. You will be responsible for managing a highly talented and energetic set of developers for delivering critical roadmap features. You will help develop and grow a strong and efficient team that can Own, Innovate and Move Fast while building a culture of collaboration and trust. The role will require you to work with Product Managers, Designers and Staff Engineers to identify and deliver the right long term solution for our customers.

You will play a valuable role in setting the north star, standards and operational excellence for the compass platform and engineering team.

Responsibilities:

• Lead, mentor, and grow an organization of talented managers and engineers. 
• Participate in setting the organization’s goals, develop its roadmap with the organization, and represent core Search teams interacting with senior leaders across the company.
• Provide guidance and support in career development, skill enhancement, and performance management for team members.
• Oversee the entire software development lifecycle, from requirements gathering to deployment, ensuring timely delivery of high-quality software solutions.
• Collaborate with cross-functional teams to align technical solutions with business goals.
• Collaborate with the technical team and product management to drive innovation, maintain code quality, and ensure adherence to software development best practices.
• Work closely with senior leadership and other stakeholders to define, execute, and report on the software development strategy in alignment with the company's overall goals.
• Identify and implement process improvements to enhance team efficiency and project delivery.
• Collaborate with other engineering leaders to champion and evangelize a technical vision for engineering at Compass. 
• Be a connector across engineering teams to drive sound technical and architecture decisions that help effectively scale our products, considering short and long-term risks.

Requirements:

• 10+ years of experience in software development and at least 7+ years of which are management experience.
• Bachelor's degree in Computer Science, Engineering, or a related field.
• A highly technical, hands-on technical leader and an effective people manager with experience directly leading teams and other managers.
• Experience in designing, developing, and maintaining web applications, distributed backend systems or data platforms.
• Experience with technologies such as Java, AWS, ElasticSearch, Kafka, AWS, Python, Typescript, React.
• Strong leadership and interpersonal skills with the ability to motivate and inspire a team.
• Proven track record of using agile principles with multiple teams and products to meet project goals and deliver high quality products.
• Excellent communication skills, utilized to collaborate both within Engineering and across all functions of the company to drive engineering initiatives.
• Excellent mentoring and review skills to help engineers make technical and career progress.
• Exceptional focus on customers by building products that are stable and reliable.

Compensation: The base pay range for this position is $167,000-$252,200 annually; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Bonuses and restricted stock units may be provided as part of the compensation package, in addition to a full range of benefits. Base pay is based on market location. Minimum wage for the position will always be met.