SLSQ327R1

As an Account Executive - Enterprise Hunter, your primary mission will be to identify, acquire, and grow new business opportunities across multiple industries. This role is focused on securing new logos and driving revenue growth by targeting Enterprise accounts across the Public Sector. You are a proactive "hunter" who thrives on building relationships, navigating complex sales cycles, and closing high-value deals. You will work closely with cross-functional teams to deliver tailored solutions that address client needs and establish long-term partnerships. You will report to the Sales Director, Public Sector.

The impact you will have:

• Secure new Enterprise accounts across multiple customers, creating a strong foundation for long-term partnerships.
• Develop and execute a focused strategy for identifying and winning high-potential accounts in untapped markets.
• Identify and close quick wins while managing longer, complex sales cycles.
• Plan, document, and drive the growth of Databricks usage in newly won accounts to maximize customer impact.
• Establish essential C-Level relationships, including Engineering, Platform, Architecture, and Data Science roles, who will, in turn, be your industry advocates.
• Use a solution-based approach to selling and creating value for customers.
• Develop a deep and detailed understanding of the customer's business.
• Provide leadership to the customer, important staff, and technical teams.
• Identify all important data use cases and buying centers in an opportunity, to increase the impact of Databricks in an organization.
• Orchestrate and use Databricks teams and ecosystem partners to maximize your impact on your sales motions.

What we look for:

• 5+ years of experience selling multi-million dollar complex software deals to the region's recognizable organizations within the Public Sector segment.
• Knowledge of segment priorities, buying processes, buying cycles, decision-making process, and the ecosystem.
• Background in selling usage-based PaaS/ SaaS solutions, or other Data/ AI/ML technologies.
• 5+ years of experience in sales methodologies and processes, e.g. account planning, MEDDPICC, value selling, and Command of the Message.
• 5+ years of experience in hunting in a greenfield space while also consulting with existing accounts to expand further use.
• Build customer champions and collaborative teams to support the implementation of the expansion plan.
• Understanding of how to develop a clear partner strategy and manage it successfully.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. 

The Corporate Systems team focuses on maintaining secure, reliable systems that support employees across the company. This team works closely with Security, IT, and Engineering partners to manage identity systems, endpoint devices, and cloud infrastructure. The goal is to ensure systems are scalable, dependable, and prepared to address evolving security risks.

As an Application Engineer, you will manage and improve systems that support identity, device management, and cloud infrastructure. You will build automation to streamline account and device lifecycle processes, respond to technical issues, and contribute to engineering standards through code reviews and documentation. You will also use AI-assisted tools to enhance development workflows and improve efficiency.

This role is based in our Menlo Park, CA office(s), with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• You manage endpoint devices, identity systems, Okta, Google Cloud infrastructure, and Google Workspace to maintain secure and reliable operations
• You design and build tools based on internal requirements to improve system functionality and efficiency
• You develop automation for device, account, and identity lifecycle management processes
• You support engineering teams by troubleshooting system issues and resolving escalations
• You review write and code, write clear documentation, and follow established engineering practices

What you bring

• You have experience as a Systems, Site Reliability, Infrastructure, or related engineer, typically with 5+ years in similar environments
• You have hands-on experience managing macOS or Windows devices using modern endpoint management tools
• You are familiar with AI-assisted development tools such as Claude Code or Gemini
• You have experience coding or scripting in languages such as Python, Swift, Go, Bash, or PowerShell
• You approach problems methodically, work well independently or with others, and focus on improving employee-facing systems

What we offer

• Challenging, high-impact work to grow your career.
• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
• Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
• Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

The Capacity Modeling team ensures Affirm can safely handle forecasted traffic—especially during peak sales events—by translating demand forecasts into concrete, testable capacity plans. They build and maintain statistical capacity models that map traffic inputs (e.g., checkout volume, app opens, batch/job activity) to resource outputs (CPU, memory, connections) and then convert those forecasts into recommended capacity settings such as pod counts, HPA ranges, and/or infrastructure sizing changes across regions and environments.
 

The coverage of infrastructure resources includes not only Compute but also infrastructure such as ElasticCache, DynamoDB, AuroraDB, and more.

What You'll Do

• You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
• You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
• You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
• You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts.
• You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
• You will help develop talent on your team by providing feedback and guidance, and leading by example.
  
  

What We Look For

• You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
• You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. 
• You have experience supporting scale up and down of large scale sales event such as Prime Day, Black Friday Cyber Monday, or other sales holidays
• You have tuned autoscaling, CPU/Memory, and multi-threading for compute type workloads.
• You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
• You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
• Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
• You have strong verbal and written communication skills that support effective collaboration with our global engineering team.

#LI Remote 

The Capacity Modeling team ensures Affirm can safely handle forecasted traffic—especially during peak sales events—by translating demand forecasts into concrete, testable capacity plans. They build and maintain statistical capacity models that map traffic inputs (e.g., checkout volume, app opens, batch/job activity) to resource outputs (CPU, memory, connections) and then convert those forecasts into recommended capacity settings such as pod counts, HPA ranges, and/or infrastructure sizing changes across regions and environments.
 

The coverage of infrastructure resources includes not only Compute but also infrastructure such as ElasticCache, DynamoDB, AuroraDB, and more.

What You'll Do

• You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
• You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
• You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
• You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, policies, testing and alerting in place to support “keep the lights on” & on-call efforts.
• You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
• You will help develop talent on your team by providing feedback and guidance, and leading by example.
  
  

What We Look For

• You have 8+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin.
• You have an extensive track record of developing highly available distributed systems using technologies like AWS, MySQL, Spark and Kubernetes. 
• You have experience supporting scale up and down of large scale sales event such as Prime Day, Black Friday Cyber Monday, or other sales holidays
• You have tuned autoscaling, CPU/Memory, and multi-threading for compute type workloads.
• You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
• You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
• Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
• You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
• This position requires either equivalent practical experience or a Bachelor’s degree in a related field.

Base Pay Grade - P

Equity Grade - 13

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

USA base pay range (CA, WA, NY, NJ, CT) per year: $225,000 - $275,000
USA base pay range (all other U.S. states) per year: $200,000 - $250,000

 #LI-Remote

About AlayaCare 

At AlayaCare, we’re more than just a fast-growing SaaS company, we’re a team of people passionate about transforming home healthcare. Our cloud-based platform empowers care providers around the world to deliver better outcomes for their clients.   

With 550+ employees across Canada, the US, Australia, and Brazil, we’re united by a shared mission and a strong culture of transparency, growth, and human connection. Whether you're early in your career or a seasoned expert, AlayaCare offers the opportunity to grow your impact, your skills, and your career.

About the Role

We are seeking a Staff Data Developer to join our Data & Intelligence division. Reporting to the Director of Data Engineering, you will design and implement scalable, complex data pipelines and infrastructure to power our data products.

As a senior member of the team, you’ll collaborate closely with data scientists, software engineers, and product managers to enhance the reliability and performance of our data systems, while influencing the enterprise-wide data architecture. You will also mentor junior engineers and drive best practices in data engineering.

What You’ll Do

• Design, develop, and maintain scalable, cost-effective, and reliable data pipelines for structured and unstructured data.
• Translate business needs into technical requirements and ensure alignment with product and customer success teams.
• Architect and implement data storage solutions (data lakes, warehouses, real-time processing systems) and supporting cloud infrastructure.
• Optimize pipelines for performance, scalability, cost-efficiency, and automation.
• Ensure data quality, integrity, and security across all systems.
• Evaluate and adopt new tools, technologies, and processes.
• Partner with DevOps and engineering teams for seamless deployment, monitoring, and troubleshooting.
• Document workflows and processes for knowledge sharing and maintainability.
• Stay current on industry trends in data engineering, ML, and cloud computing.
• Provide mentorship and technical leadership to junior engineers.

What You Bring to the Team

• 5+ years of hands-on experience with data software development.
• Experience with AlayaCare’s stack (Python, PHP, Vue.JS, AWS).
• Bachelor’s or advanced degree in computer science, mathematics, or related fields.
• Strong skills in DBT, SQL, Python, Snowflake, Iceberg, Spark, and AWS (ECS, S3, Aurora, RDS).
• Experience with streaming technologies such as Kafka, Kinesis, and Flink.
• Familiarity with Docker and Kubernetes.
• Expertise in dimensional data modeling and semantic layer design.
• Strong collaboration, communication, and problem-solving skills.
• Experience in Agile development methodologies.
• Mindset encouraging transparency, accountability, and trust.
• Experience in healthcare, home health, or medical devices is an asset.
• Familiarity with data governance concepts & tools is an asset.
• Bilingual in French and English is an asset.

Why Join AlayaCare?  

Work With Purpose  

At AlayaCare, you’ll help build technology that empowers care providers and improves outcomes for patients and families. Every line of code and every customer interaction contributes to making care more connected, accessible, and human.  

Grow in a High-Trust Culture  

We believe in transparency, feedback, and assuming positive intent. Here, you’ll feel safe to share your ideas and career goals, and be supported to achieve them through mentorship, career mobility, and a promote-from-within philosophy.  

Balance That Works for You  

We value flexibility and well-being. From “Wellness Fridays” to volunteer time off, to flexible vacation, we make sure you have the space to recharge, contribute to your community, and live your best life.  

Benefits That Matter  

• Equity in a well-funded, scaling company.  
• Comprehensive health benefits, telemedicine, and lifestyle spending accounts.  
• Parental leave top-up and family support programs.  

Inclusive by Design  

We celebrate diverse perspectives and foster belonging through our DEIB initiatives. Employee-led events, summits, and social activities, both in-person and virtual, create meaningful connections across our global teams.  

Location and Work Model

This role is based in Montreal. At AlayaCare, our hybrid model includes 2 set in-office collaboration days/week, and it is expected that team members are present in the office on those days to foster connection, innovation, and teamwork.  

Ready to Join Us?  

Apply today and be part of a company that makes a real difference in the future of home and community care. Not the right role for you? Share this posting with someone who might be a great fit.  

AlayaCare uses AI tools during our hiring process to support fair, consistent, and objective decision-making. Some initial screening steps may be automated to help identify qualified candidates. If your application is declined automatically, you may request a human review.  

We’re committed to creating a workplace where everyone belongs. If you require accommodation during the application process, please reach out to talentacquisitionteam@alayacare.com. 

About the team + role 

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

At Robinhood, Developer Productivity is the backbone that enables every engineer to deliver exceptional software; faster, safer, and at scale. We design and build the systems, platforms, and experiences that make software development seamless and reliable across the company.

We believe infrastructure should be invisible when working perfectly, intuitive, resilient, and empowering. Our mission is to eliminate friction, enhance feedback loops, and drive developer productivity through operational excellence, intelligent automation, and world-class tooling.

We’re looking for a Senior Staff Software Developer to lead the evolution of our developer experience and AI-powered engineering ecosystem. In this role, you’ll operate as a technical leader and architect across the organization, shaping strategy, defining standards, and driving large-scale initiatives that improve developer velocity, system reliability, and engineering quality.

You’ll work at the intersection of developer tooling, platform infrastructure, and AI-assisted development, pioneering how Robinhood engineers build, test, deploy, and operate software.

This role is based in our Toronto office(s), with in-person attendance expected at least 3 days per week. 

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

Technical Leadership & Architecture

• Architect and build scalable systems that enable fast, reliable delivery of full-stack applications, with a strong focus on enhancing the overall developer experience
• Set technical direction and standards for developer infrastructure across build systems, CI/CD, testing, and local development
• Lead design reviews, operational readiness, and post-incident analysis for critical developer platforms
• Leveraging AI to power the next generation development workflow

Developer Experience & Productivity

• Identify and eliminate friction across the software development lifecycle
• Build and evolve developer tooling including CLIs, configuration systems, and local/remote development environments
• Drive improvements in build systems, test automation, and deployment workflows
• Champion best practices in code quality, observability, and operational excellence

AI Tooling & Intelligent Automation

• Lead adoption of AI-assisted development tools (e.g., Copilot, Claude) across engineering teams
• Design and implement agentic workflows for development and operations (e.g., automated code generation, incident triage, root cause analysis)
• Evaluate and integrate AI agents for anomaly detection, alert correlation, and automated remediation
• Establish best practices for safe, secure, and effective use of AI in software development

Cloud, Infrastructure & Platform Systems

• Design and operate services on AWS with strong attention to scalability, cost efficiency, and security
• Lead Kubernetes-based platform improvements, including developer workflows for containerized environments
• Drive Infrastructure as Code (Terraform) strategy and adoption across environments
• Build and optimize CI/CD pipelines (e.g., Harness, Jenkins, CircleCI) with a focus on reliability and speed

Reliability & Operations

• Own non-functional requirements including availability, scalability, latency, and security
• Ensure systems are observable through metrics, logs, and alerting
• Lead incident response, postmortems, and continuous improvement efforts
• Reduce operational toil through automation and platform improvements

Cross-Functional Leadership

• Partner with Product, Platform, and SRE teams to align on long-term technical strategy
• Lead large-scale, cross-functional initiatives spanning multiple engineering teams
• Mentor senior engineers and raise the technical bar across the organization
• Contribute to a strong engineering culture centered on ownership, quality, and continuous improvement

What you bring 

• 10+ years of software engineering experience, including 3+ years operating at Staff or Senior Staff level
• Deep expertise in developer infrastructure (CI/CD, build systems, testing frameworks, dev environments, observability)
• Strong backend engineering skills with proficiency in Go, Python, or TypeScript/JavaScript
• Proven track record of leading complex, cross-functional platform initiatives at scale
• Exceptional system design skills, with a focus on reliability, scalability, and performance

Infrastructure & Platform Experience

• Experience with cloud-native technologies (Kubernetes, Docker, service discovery, distributed systems)
• Strong understanding of CI/CD systems (e.g., CircleCI, Jenkins, Harness) and release orchestration
• Experience building internal developer platforms, CLIs (preferably in Go), and productivity tooling
• Familiarity with Infrastructure as Code (Terraform) and cloud platforms like GCP

AI & Emerging Tooling

• Experience leveraging AI-assisted development tools in production environments
• Interest or experience in applying AI to developer productivity, incident management, or automation
• Ability to evaluate and safely integrate AI systems into engineering workflows

Leadership & Influence

• Strong technical leadership with the ability to influence across teams and organizational boundaries
• Excellent communication skills, with experience driving alignment across engineering and product stakeholders
• Passion for developer experience and enabling other engineers to do their best work

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces. 
• Monthly commuter stipend to help offset in-office commuting costs

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.

We are hiring an Engineering Manager for our Processing team to lead Lithic's next phase of growth.

The Processing team builds and maintains the real-time interfaces between Lithic and external payment networks. Every card authorization, clearing message, and settlement file flows through systems this team owns. The team manages both online and batch transaction flows across Mastercard, Visa, and Amex, along with transaction enrichment, disputes processing, and network compliance. The systems we maintain have strict latency and uptime requirements, because they sit on the critical path for every card transaction. The team also manages the physical network peering with card network partners, so infrastructure and networking expertise are important. The team primarily uses Java, Python, and Kotlin on AWS.

What You'll Do:

• Ensure high reliability, low latency, and correctness for Lithic's transaction processing interfaces and related services
• Lead delivery of new capabilities across authorization, clearing/settlement, disputes, and network integration surfaces
• Own and evolve the infrastructure supporting physical network peering with card network partners, ensuring connectivity, failover, and capacity meet reliability requirements
• Raise the bar on operational excellence: observability, incident response, on-call readiness, and pragmatic reliability improvements
• Own initiatives from planning to launch, keeping stakeholders informed and aligned along the way
• Partner closely with Product and cross-functional stakeholders to clarify requirements early and keep engineering time focused on the highest-impact work
• Lead efforts to improve systems, processes, and documentation so new team members can ramp quickly
• Participate in and help evolve the team's on-call rotation

What You Bring

• Experience managing and growing engineers, including coaching, feedback, and hiring
• Strong technical judgment and system design skills, especially for low-latency, high-availability systems, with solid networking and infrastructure knowledge
• Comfort staying close to the work — this is a player-coach role where the manager can unblock, review designs, and occasionally contribute hands-on when needed
• Experience shipping and operating production services with strict uptime and latency requirements
• Experience with or interest in network infrastructure — peering, connectivity, failover, and capacity planning for external partner integrations
• Experience with or interest in learning payment processing — card network protocols, authorization flows, clearing/settlement, or similar domains
• Experience with Java, Python, or Kotlin and AWS (or closely related stacks), and an ability to ramp quickly where the stack is unfamiliar
• Strong cross-functional communication skills and an ability to keep teams aligned under time pressure
• Growth mindset and continuous desire to learn and improve
• An interest in fintech and payments is preferred

The annual Canadian salary range for this role is CA$232,000 - $333,000 plus equity. This salary range is inclusive of several career levels at Lithic and will be narrowed during the interview process based on the candidate's experience and qualifications. This is a remote position. We do not offer visa sponsorship or assistance.

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The opportunity

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

What you'll be doing

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

What we're looking for

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

Additional information

• Relocation support is not available for this position

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

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

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

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

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

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

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

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

#SEN #LI-AR1

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Data Scientist to join our growing Ads Data Science team. As a Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve our understanding of the dynamics that drive the success of our advertising platform, and identify opportunities to accelerate that success. You will work closely with stakeholders across product, engineering, sales, marketing, and data to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Develop ML models & DS methods to for improved anomaly detection, prediction, pattern recognition
• Communicate findings and recommendations to stakeholders across the organization
• Collaborate with product, engineering, sales, and marketing partners to define product and program requirements and translate them into data science solutions
• Stay up-to-date on the latest advancements in machine learning and data science

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 3+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 2+ years of industry experience in applied science or data science roles
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills
• Passion for Reddit and the online advertising industry

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.

Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.

About the Ads Data Science Team:

The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. 

We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.

Responsibilities:

• Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
• Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
• Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
• Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition 
• Communicate findings and recommendations to stakeholders across the organization
• Stay up-to-date on the latest advancements in machine learning and data science
• Mentor and guide junior data scientists on the team

Qualifications:

• Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
• For M.S. holders: 5+ years of industry experience in applied science or data science roles
• For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
• Platform experience and a deep understanding of the ads ecosystem
• Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
• Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
• Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
• Experience with SQL and relational databases
• Excellent communication and presentation skills
• Passion for Reddit and the online advertising industry

Bonus Points:

• Experience with online advertising and ad tech
• Experience with causal inference and A/B testing
• Contributions to open-source projects or publications in relevant conferences or journals

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

#LI-Remote

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The People Systems team builds and operates the technology that supports Robinhood’s employees across their entire lifecycle. The team focuses on Workday and connected systems, ensuring reliable operations, strong data quality, and scalable solutions for a growing global workforce. You will work closely with partners across HR, Engineering, Finance, and Legal to deliver systems that support hiring, onboarding, payroll, and compliance.

As a People Systems Manager, you will lead the design, development, and operation of Robinhood’s People Systems ecosystem with Workday as the foundation. You will contribute directly to system configuration, integrations, and architecture while guiding a team of engineers and analysts. This role also focuses on applying AI tools and automation to reduce manual processes, improve data accuracy, and enhance employee support. You will help define how AI is applied within People Systems to improve efficiency and scalability!

This role is based in our Menlo Park, CA office, with in-person attendance expected 5 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Own and evolve Robinhood's core People Systems with Workday as the foundation — driving configuration, integrations, Extend development, and architectural decisions.
• Lead as a hands-on technical manager: you write, review, and ship alongside your team rather than delegating from a distance.
• Actively use AI-assisted development tools (e.g. Cursor, Claude Code, GitHub Copilot) to accelerate delivery — and set the standard for AI-augmented workflows on your team.
• Design and build AI-powered automations and agents that reduce manual HR operations, improve data quality, and enhance the employee experience.
• Build and maintain integrations across the People tech stack — deep ownership of EIB-based integrations required, Workday Studio experience strongly preferred.
• Prototype and productionize AI capabilities embedded in HR workflows (e.g. intelligent routing, document processing, conversational HR interfaces).
• Drive major initiatives including vendor and worker management systems, Workday enhancements, and Workday Extend investments.
• Support international growth and M&A by enabling scalable People systems for new geographies.
• Establish a long-term People Systems roadmap that is AI-first — not AI-curious — balancing near-term operational needs with a bold future-state architecture.
• Maintain a high bar for data quality, security, privacy, and compliance across all People systems.
• Lead and grow a distributed team of FTEs and contractors, building strong technical ownership and accountability.

What you bring

• 7+ years of progressive People Systems or HRIS experience, including 2+ years managing technical teams.
• 4+ years of hands-on Workday experience with strong technical depth across Core HCM, integrations, and Extend.
• Demonstrated use of AI coding tools such as Cursor, Claude Code, or GitHub Copilot — we'll ask you to walk us through projects where these tools changed how you work.
• Proven experience building AI agents, automations, or LLM-powered workflows — side projects, internal tools, and production systems all count.
• Deep experience building and supporting Workday integrations; EIB required, Workday Studio strongly preferred.
• Familiarity with Greenhouse and/or Ashby.
• Strong cross-functional partnership skills across HR, Engineering, Finance, and Legal.
• Ability to operate in fast-paced, ambiguous environments — you make decisions with incomplete information and iterate quickly.
• A portfolio or track record of shipped AI projects: describe what you built, what tools you used, and what impact it had.
• Strong analytical and problem-solving skills with a bias toward action and measurable outcomes.

Leadership expectations

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
• Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
• Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.

What we offer

• Challenging, high-impact work to grow your career.
• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
• Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
• Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The People Tech & Systems team’s mission is to deliver scalable, intuitive, and secure technology that empowers Robinhood’s people and fuels business growth. Sitting at the intersection of operations, systems, and innovation, the team ensures employees and teams have the tools they need to thrive.

As a People Systems Manager, you will lead the development and operation of Robinhood’s HR and Payroll systems, owning both strategy and execution. You’ll act as a player-coach—balancing hands-on systems work with leading and growing a team—while driving impactful, reliable solutions that support the company’s people and processes at scale.

This role is based in our Toronto, Canada office(s), with in-person attendance expected at least 5 days per week. 

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Lead and evolve Robinhood’s core People Systems, with a strong focus on Workday across functional and technical domains
• Act as a hands-on technical leader, driving configuration, integrations, and solution design while guiding execution across your team
• Manage and develop a distributed team of full-time employees and contractors, fostering ownership, accountability, and growth
• Partner cross-functionally with HR, Recruiting, Compensation, Finance, and Engineering to deliver scalable and reliable solutions
• Design, build, and maintain integrations within the People tech stack, with deep ownership of EIB-based integrations and preferred use of Workday Studio
• Drive initiatives such as worker/vendor system implementations, Workday enhancements, and Workday Extend investments
• Support global expansion and M&A through scalable People systems architecture
• Collaborate with AI engineering teams to shape AI-enabled capabilities across HR platforms
• Lead change management efforts to ensure successful adoption of new tools and processes
• Build and maintain a long-term roadmap balancing operational excellence and future innovation
• Uphold high standards for data quality, security, privacy, and compliance

What you bring

• 7+ years of progressive People Systems or HRIS experience, including 2+ years in people management
• 4+ years of hands-on Workday experience, with strong expertise in Core HCM
• Proven experience with Workday integrations, including EIBs (required) and Workday Studio (strongly preferred)
• Familiarity with recruiting tools such as Greenhouse and/or Ashby
• Strong project management and cross-functional collaboration skills
• Comfort navigating ambiguity in fast-paced, high-growth environments
• Curiosity and practical interest in AI, automation, and emerging HR technologies
• Strong analytical and problem-solving abilities with high attention to detail and a proactive mindset

Leadership expectations

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
• Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
• Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces. 
• Monthly commuter stipend to help offset in-office commuting costs

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.

Join us in building the future of finance

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team and role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Margin team’s mission is to build and scale systems that power lending products, enabling customers to responsibly access leverage while maintaining strong risk controls and regulatory compliance. The team partners closely with product, risk, legal, and data teams to deliver reliable and transparent margin experiences for millions of users!

As an Engineering Manager, you will lead a team responsible for designing and operating critical margin infrastructure, including lending systems, risk evaluation pipelines, and account health monitoring. You will guide technical direction, support engineers in delivering high-quality systems, and ensure services meet performance, reliability, and compliance standards. You will work closely with cross-functional partners to prioritize work, translate business needs into engineering plans, and deliver measurable improvements to system stability and customer outcomes.

This role is based in our New York, NY office, with in-person attendance expected at least 5 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you'll do

• Lead and support a team of engineers building margin and lending systems, including setting goals, providing feedback, and supporting career growth
• Define and execute technical plans that improve system reliability, latency, and scalability for margin-related services
• Partner with product, risk, legal, and data teams to deliver features that meet regulatory requirements and improve customer experience
• Establish clear engineering processes, including code reviews, incident response practices, and system monitoring standards
• Use metrics such as system uptime, latency, and error rates to guide prioritization and track improvements

What you bring

• You have experience managing and developing engineering teams, including hiring, coaching, and performance management
• You have strong technical expertise in distributed systems, backend services, or financial systems
• You have experience building or supporting systems that require high reliability, data accuracy, and regulatory awareness
• You are comfortable using data and metrics to inform decisions and improve system performance
• You communicate clearly with both technical and non-technical partners and align teams around shared goals

Leadership expectations

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
• Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
• Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

As the Engineering Manager for the Margin team, you will be at the forefront of innovation for Robinhood's essential suite of Margin offerings. This highly dynamic role involves collaboration with product, data, and other engineering teams. The features delivered by this team are among the highest leverage within the company, directly contributing to generating $100s of millions in revenue.

This role is based in our Toronto office, with in-person attendance expected at least 5 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Lead and empower your team: Provide technical and strategic leadership, mentoring engineers, and nurturing a culture of collaboration and innovation.
• Drive product excellence: Work closely with product managers, designers, and other teams to define and implement a roadmap for seamless payment experiences.
• Develop new features: Build and optimize solutions for global markets, ensuring they are intuitive and reliable.
• Promote standard methodologies in engineering: Ensure high-quality code, scalability, and security in all deliverables.

What you bring

• Technical expertise: You possess a strong skillset in either backend or frontend development.
• Strong product sense: You understand user needs and can translate business goals into elegant technical solutions.
• Leadership experience: Proven ability to lead engineering teams, drive complex projects, and deliver impactful results in a fast-paced environment.
• Collaborative approach: You excel in working with diverse teams and can influence collaborators across fields.
• Global perspective: Experience in building solutions for international users is a strong plus.

Leadership expectations

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Drive high performance by setting clear, focused goals, giving real-time feedback, stretching top talent, and scaling impact through focus, innovation, and tech.
• Hire and retain top talent by setting a high bar, hiring only those who raise it, investing in onboarding, and addressing talent issues quickly and fairly.
• Create community by connecting work to purpose, removing friction while prioritizing safety, building trust and inclusion, and leading from the front with integrity.

What we offer

● Challenging, high-impact work to grow your career
● Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
● Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
● Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
● Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
● Exceptional office experience with catered meals, events, and comfortable workspaces.
● Monthly commuter stipend to help offset in-office commuting costs

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.

SLSQ327R246

Do you want to help solve the world's toughest business problems with Data and AI? This is what we do every day at Databricks.

We are looking for an Enterprise Sales Director to lead our growing Public Sector business in Ottawa.  Leading a team of Enterprise Named and Strategic Account Executives, you will be measured by achieving your team's overall quota and growing Databricks' consumption. This is a team of account executives that are passionate about building a data ecosystem, technically knowledgeable, and have a strong desire to drive value for our customers.

You will oversee the sales team, implementing sales plans, expanding existing business and delivering accurate sales forecasting and reporting. 

This is a fantastic opportunity to build upon a highly successful team achieving significant year on year growth, in a fast growing business which is a hugely impactful part of the Canadian sales organization. We are looking for owners, who will go the extra mile and want to be the very best at what they do.

The impact you will have:

• Lead a team of account executives, ensuring you coach them to develop the skills and behaviors they will need to succeed
• Establish company territory plans, team structure, individual quotas and patches for your team, including investment capacity requirements
• Report on revenue forecast and strategic GTM programs
• Partner with cross-functional teams to manage a complete revenue and customer success process
• Inspire a culture of teamwork, leading with value and achieving desired customers outcomes
• Develop trust-based relationships with customers and partners to ensure long-term success
• Encourage learning and ongoing understanding of technical product details and our future product roadmap
• Establish a revenue growth and investment plan in the first 90 days
• Deliver our strategic growth plans, in collaboration with the other function leaders across Canada, ensure forecast accuracy and a predictable, high-growth business 

What we look for:

• Experience as a high-growth enterprise software sales leader with experience leading sales teams serving Named and Strategic customers within the Data, AI, Cloud, or SaaS Sales Industry, specifically within the Public Sector space.
• History of exceeding sales quotas in similar high-growth technology companies
• Ability to engage with and hire sales talent in the market
• Focus and emphasis on methodology-based sales coaching, MEDDPIC and a Challenger mentality
• Experience of value-based sales with both the business and IT stakeholders including C suite
• Experience in leadership roles focused on managing sales organisations to influence, develop, and achieve objectives within Data, AI, Cloud, or SaaS sales
• Extended Executive relationship network with key customers.
• Knowledge of the partner ecosystem to help grow Enterprise strategic territories
• Success implementing strategies for consumption and commitment-based sales revenue models.

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

As a Data Engineer at BeyondTrust, you will help build and enhance our data lake which currently consumes billions of events each day. You will leverage state-of-the-art data engineering tools to create cost-effective cloud solutions that enable next-level cybersecurity research. You will enhance and optimize our existing infrastructure and develop new data assets to drive additional business value. 

What You’ll Do

• Take ownership of data modelling to solve complex identity security problems.
• Solve complex analytical problems across disparate systems to provide a unified view of security posture in the datalake
• Optimize data workloads at a software level by improving processing efficiency. 
• Identify opportunities for engineering process improvement and collaborate with senior resources to execute a plan of action.
• Use monitoring and observability best practices to ensure optimal pipeline performance.
• Assist with ML Operations to ensure optimal model efficiency.
• Leverage CI/CD best practices to effectively develop and release source code. 

What You’ll Bring

• Strong programming and technology knowledge in cloud data processing. 
• Spark experience is needed, existing Databricks knowledge is a plus. 
• Interest and aptitude for cybersecurity; interest in identity security is highly preferred.  
• Technical understanding of underlying systems and computation minutiae.
• Experience working with distributed systems and data processing on object stores.
• Ability to work autonomously 

Technologies You Should Know

• Required: Data warehousing for analytics use cases
• Required: Highly proficient in Python (or another object orientated language)
• Required: Distributed processing framework experience
• Highly Preferred: Spark
• Highly Preferred: Realtime processing experience.
• Ideal: Some experience with graph data stores 

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com. 

#LI-DN1

We are seeking a Senior Machine Learning Engineer to join the Growth Tech Alliance. In this role, you will architect and deploy the robust infrastructure behind our intelligent marketing systems. You will be responsible for maturing algorithmic prototypes into high-performance production systems, ensuring our AI-driven marketing optimization is served reliably and autonomously at a global scale.

S'more about the team

We are hiring a Senior Machine Learning Engineer to take our AI tooling to the next level by architecting and deploying the robust infrastructure behind our intelligent marketing optimization systems. You will provide critical engineering execution for our AI initiatives. You will develop scalable microservices for predictive scoring, orchestrate complex LLM-based agents for creative intelligence. As the ML engineering expert for the team, you will drive the maturation of algorithmic prototypes into high-performance production systems with maximum Speed & Agility, shaping the future of how HelloFresh automates marketing at an unprecedented scale.

Lettuce share what this role will be responsible for

As a core member of the engineering team, you will focus on productionizing ML infrastructure across several domains:

• Build robust integration layers for visual AI pipelines that process multi-modal embeddings that power various predictive models.
• Transition proof-of-concept models into resilient production microservices and architect LLM-based orchestration frameworks.
• Engineer high-throughput, low-latency data pipelines to process 1P data and pipeline signals into external platforms like Meta and Google.
• Collaborate with data scientists and other engineers in a cross-functional team to improve HelloFresh’s value forecasting efficiency.
• Establish CI/CD processes, feature stores, and drift detection to ensure continuous delivery and model reliability.
• All other duties, as assigned

Sound a-peeling? Here's what we're looking for

• Experience leading the end-to-end lifecycle of production ML systems, from architectural design to scalable deployment and monitoring.
• Expertise in leveraging hyperscaler ecosystems (AWS, GCP, Azure) to build cost-effective, resilient, and automated ML infrastructure.
• Deep technical proficiency with modern ML frameworks (PyTorch, TensorFlow, HuggingFace)
• Expert programming skills in Python and PySpark.
• A BS/MS in Computer Science or a related engineering field, coupled with a proven track record of bringing ML systems from prototype to high-traffic production.
• Proven experience engineering robust data architectures that reliably process and combine diverse data formats, ranging from structured offline conversion data to unstructured multimedia assets.
• A demonstrated bias for action and extreme ownership, eager to adopt Gen AI tools to creatively solve architectural challenges and enhance engineering velocity.

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

#Engineering

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

S'more about the team

We are hiring a Machine Learning Engineer in our Customer Value Forecasting team inside the Customer Value Optimization department to help build innovative Machine Learning products which drive value forecasting at HelloFresh. As a Machine Learning Engineer, you will build machine learning products that directly impact business outcomes, working on cutting-edge forecasting problems with the assistance of AI. Additionally, you will master the design and construction of scalable, robust, and efficient machine learning systems capable of handling massive datasets and intricate models.

Lettuce share what this role will be responsible for

• Collaborate with data scientists and other engineers in a cross-functional team to improve HelloFresh’s value forecasting efficiency.
• Collaborate with product managers and business stakeholders to understand their needs and translate them into machine learning products and analysis.
• Create proof-of-concept Machine Learning models and quickly iterate on them to build them into production-ready products under the guidance of senior team members.
• Evaluate the performance of machine learning models and make recommendations for improvement.
• Stay up-to-date on the latest advancements in machine learning and artificial intelligence. Propose and implement process improvements or tools to enhance the machine learning development lifecycle and team efficiency.
• All other duties, as assigned

Sound a-peeling? Here's what we're looking for

• A passion for solving complex business problems with machine learning within a fast-paced business environment. Experience with Machine learning for marketing is a plus.
• Strong programming skills in Python and SQL. Previous experience with PySpark is a plus.
• Hands-on experience with designing and maintaining large scale Machine Learning systems for production use cases including model monitoring and drift detection.
• Pick up new technologies and modeling methodologies quickly while solving actual business problems.
• Interest in working with modern data science tooling such as cloud development, version control, CI/CD, model registries and a feature store.
• Ability to communicate complex technical findings to both technical and non-technical stakeholders.

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

The Growth Tech Alliance's goal is to enable HelloFresh to drive smarter marketing through AI-powered automation, intelligent systems, and advanced optimization. We've pioneered cutting-edge approaches to programmatic campaign optimization using state-of-the-art AI/ML technologies and are now scaling these capabilities across our global marketing operations. Our team’s key responsibilities include designing, building, maintaining autonomous decision-making systems, advanced ML models for marketing optimization, and real-time intelligence that drives measurable business impact. We work at the intersection of modern AI architectures, deep statistical modelling, and enterprise-scale ML operations.

S'more about the team

As a Senior Data Scientist in AdTech, you will design, build, and deploy production-grade machine learning models that drive significant marketing ROI. You will provide critical expertise in advancing our intelligent marketing optimization systems, focusing on the entire ML lifecycle from data preprocessing and feature engineering to large-scale deployment and performance monitoring. By translating complex marketing challenges into robust production systems, you will ensure our AI-driven capabilities deliver measurable business impact and enhanced efficiency at a  global scale

Lettuce share what this role will be responsible for

• Develop, build, and iterate on advanced machine learning models across core adtech domains to optimize marketing performance and contribute to the orchestration of highly efficient marketing workflows.
• Design and implement ML models for Media Optimization, and contribute to their operationalization into high-impact production systems.
• Contribute to Creative Automation efforts by building and enhancing predictive AI models to guide our global production studios.
• Design and build ML models for Value Optimization to intelligently isolate high-value customers.
• Adhere to and contribute to the team's ML operations (MLOps) practices, focusing on experiment tracking, system observability, and model reliability in production.
• Rapidly prototype innovative machine learning solutions, including Gen AI-forward approaches, and integrate them into our existing, orchestrated multi-agent systems to enable complex autonomous workflows.
• Collaborate closely with Product, Engineering, and Marketing to identify high-impact programmatic automation opportunities and execute robust A/B testing and experimentation designs for models in high-noise environments.
• All other duties, as assigned

Sound a-peeling? Here's what we're looking for

• MSc or equivalent experience in a quantitative discipline with proven experience building and deploying AI/ML systems from prototype to production at scale
• Expert proficiency in Python, PySpark, and SQL, hands-on experience with cloud environments (GCP, AWS, or Azure), and practical experience with modern machine learning frameworks such as HuggingFace, TensorFlow or similar.
• Expertise in applied machine learning relevant to AdTech, including predictive modeling, optimization algorithms, and modern LLM capabilities preferred.
• Proven experience tackling complex marketing data problems, such as algorithmic budget pacing, LTV prediction pipelines, or AI-driven media optimization systems.
• Strong foundation in statistical analysis and experimentation, with practical experience designing A/B tests to validate the incremental business impact of algorithmic systems
• Demonstrated ability to effectively communicate intricate analytical findings to diverse audiences, bridging the gap between deep technical implementation and core business KPIs
• Track record of building production ML systems with robust practices, demonstrating a bias for action and extreme ownership, treating the business outcomes of your algorithms with a true Founder Mentality
• Experience with programmatic advertising ecosystems, marketing analytics, and the operational aspects of running performance-critical ML models in high-traffic environments

Let’s cut to the cheese, this is why you'll love it here

• Box Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.
• Health & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!
• Vacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. 
• Family Benefits - A parental leave top-up program for expectant parents.
• Growth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team
• Work Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!
• Diversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.
• Food Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!

Flexible Hybrid Approach

At HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. 

To meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.

#LI-HYBRID

HelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.

This is a posting for an existing vacancy. We are actively seeking to fill this position.

Overview

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.

The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.

About the Job

• You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
• You are expected to mentor other team members and be a champion of engineering excellence across the organization.
• You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
• You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
• You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.

About You

Minimum Qualifications

• 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
• Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
• Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
• Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
• Expert with SQL and dbt (Data Build Tool).
• Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
• Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
• Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
• An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Experience working with a large codebase on a cross functional team.

Preferred Qualifications

• Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
• Experience with Snowflake, dbt (Data Build Tool) and Airflow.
• Experience with SOX controlled data systems.

#LI-Remote

Overview

Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.

Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.

The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.

About the Job

• You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
• You are expected to mentor other team members and be a champion of engineering excellence across the organization.
• You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
• You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
• You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.

About You

Minimum Qualifications

• 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
• Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
• Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
• Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
• Expert with SQL and dbt (Data Build Tool).
• Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
• Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
• Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
• An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
• Experience working with a large codebase on a cross functional team.

Preferred Qualifications

• Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
• Experience with Snowflake, dbt (Data Build Tool) and Airflow.
• Experience with SOX controlled data systems.

#LI-Remote

Staff Product Security Engineer

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

As a Principal Architect for EPM, you will be a senior member of the technical team that sets the vision and overall design of our software solutions. You will partner closely with product engineering, platform teams, and stakeholders across the Office of the CTO to shape the next generation of our EPM platform. This role sits at the intersection of large-scale cloud architecture, big data systems, and product engineering. You will define architectural direction, drive key technical decisions, and ensure our platform continues to scale securely and efficiently as our customer base and data volumes grow.

What You’ll Do

• Set the technical vision and architectural direction for the EPM platform
• Partner with product engineering teams to design scalable, resilient, cloud-native services
• Drive technical decisions across scalability, resilience, security, and cost optimization
• Document and communicate architectural decisions, trade-offs, and roadmaps to engineering teams, leadership, and cross-functional stakeholders
• Provide input on technology selection and help drive best practices for cloud-native development, observability, and operational excellence
• Help define overall architectural principles, frameworks, and standards that other product teams can adopt
• Contribute to the architecture strategy as it aligns to the EPM and broader platform product roadmap
• Mentor senior engineers and architects, raising the technical bar across the organization

What You’ll Bring

• 10+ years of experience delivering and supporting enterprise-ready cloud-based systems, with at least 3+ years in a Principal, Staff, or Architect-level role
• Deep expertise with at least one major public cloud (AWS, Azure, or GCP) and working familiarity with others
• Hands-on experience architecting big data and analytics platforms, including ingestion, schema design, partitioning, and query performance tuning across technologies such as Elastic, ClickHouse, Databricks, or similar
• Microservices and cloud-native design patterns, including containerization and orchestration (Docker, Kubernetes)
• Solid understanding of modern design patterns and practices such as Infrastructure as Code (Terraform) and CI/CD
• Competency in a core programming language
• Demonstrated experience leading architecture for SaaS platforms at meaningful scale
• Experience with the full lifecycle of development and product release in an agile environment
• You can move fluently between architectural diagrams and a code review
• Strong ability to communicate well with all aspects of the business, from individual engineers to executive stakeholders

Nice To Have

• Event streaming platforms (Kafka) and stream processing (Flink, Spark Streaming)
• Service mesh technologies (Istio) and continuous delivery tooling (ArgoCD)
• Experience designing security and compliance in regulated environments (SOC 2, FedRAMP, ISO 27001)
• Prior experience in privileged access, endpoint security, or the broader cybersecurity domain

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com. 

#LI-DF1

Overview

Instacart’s Data Infrastructure organization builds and operates the systems that power our company’s data ecosystem, including a modern open data lakehouse on Apache Iceberg, a multi-engine compute platform for stream and analytical workloads, and self-serve tooling that helps Product, Data Science, ML, Ads, Finance, and engineering teams move fast with data.

We’re looking for a Staff Software Engineer, Data Infrastructure to join our Data Governance and Foundations Team. In this role, you’ll serve as a senior technical leader owning the architecture and delivery of our open lakehouse foundation, governance and access patterns, and multi-engine compute strategy—balancing today’s reliability with the next three to five years of scale, maturity, and cost efficiency.

You’ll collaborate closely with engineering leadership and stakeholders across Data Science, ML Platform, Ads Infrastructure, Finance Engineering, Product Engineering, and Security. You’ll operate with a high degree of ownership in a fast-paced environment where architectural decisions have real technical and financial consequences. If you thrive on complex, high-scale challenges and roll-up-your-sleeves execution, this is a chance to shape the backbone of Instacart’s data platform.

Our stack includes technologies such as Apache Iceberg, Apache Flink, Trino, ClickHouse, Apache Kafka, Apache Spark, Snowflake, Databricks, Confluent, Airflow, dbt, Delta Lake, Scala, Python, Postgres, and AWS. You’ll join a focused team of 7 engineers that values pragmatism, clarity, and impact.

About the Job

• Translate Instacart’s data strategy (e.g., monetization, federated access, real-time) into an actionable multi-year architecture roadmap; align with leadership while evolving the platform for scale, maturity, and cost efficiency.
• Own the open lakehouse foundation: define and deliver unified table formats, storage governance, and a multi-engine compute portfolio (interactive, batch, streaming) that enables portability and prevents lock-in.
• Drive real-time and streaming infrastructure for critical use cases (Ads, Fraud, ML): set deployment patterns, SLAs, and operational practices that balance performance, availability, and spend.
• Pioneer AI-native data infrastructure engineering by applying LLM/AI tools to the platform lifecycle—accelerating development, automation, observability, and cost optimization—and partnering to embed AI-powered capabilities into the platform.
• Elevate engineering excellence: lead architecture reviews, mentor senior/staff engineers, influence hiring, and clearly communicate complex trade-offs to both technical and executive audiences to ensure cross-org alignment.

About You

Minimum Qualifications

• 5+ years of software engineering experience building and operating data infrastructure or distributed systems at production scale.
• Hands-on expertise with modern data lakehouse architectures and open table formats (e.g., Apache Iceberg, Delta Lake, Hudi) and with distributed query/compute engines (e.g., Trino, Spark, ClickHouse), including performance tuning and production reliability.
• Experience with event-driven and streaming infrastructure (e.g., Kafka, Flink) for real-time pipelines and serving systems.
• Proven ownership of major platform transitions or migrations (build vs. buy, migration design, risk management) delivered to production.
• Ability to build cost/benefit and TCO models for infrastructure investments and to drive alignment via clear architecture docs and strategy memos across multiple teams and leadership levels.

Preferred Qualifications

• Experience designing platform-level governance controls and familiarity with compliance frameworks (e.g., SOX, CPRA, GDPR).
• FinOps experience optimizing data platform spend, including managing multi-million dollar infrastructure budgets and negotiating vendor contracts.
• Deep SQL proficiency and strong skills in Python or Scala for systems-level development.
• Experience with orchestration (e.g., Apache Airflow) and data transformation pipelines (e.g., dbt) in large-scale production environments.
• Bachelor’s, Master’s, or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.

#LI-Remote

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The People Systems team builds and maintains secure, scalable HR technology that supports employees across the company. The team partners closely with People Operations, Compensation, Payroll, Finance and Corporate Engineering to deliver reliable systems and improve how employees experience internal tools. The focus is on improving system performance, enabling new capabilities, and supporting company growth through thoughtful system design. This team plays a key role in supporting acquisitions and expanding global workforce operations!

As a Staff Workday Engineer, you will design, configure, and improve Workday solutions across HCM, Compensation, Benefits, and Payroll. You will partner directly with People and business teams to translate requirements into system configurations, reports, and integrations. This role contributes to both ongoing system improvements and major initiatives such as acquisitions and new feature development. You will also support the evaluation and implementation of AI-based capabilities within HR systems to improve efficiency and decision-making.

This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Drive the design, configuration, and continuous improvement of Workday modules including HCM, Compensation, Payroll, Benefits, and act as the subject matter expert
• Architect, build, and optimize scalable Workday integrations, custom reports, and advanced security models with a constant focus on reliability, resilience and scalability
• Partner with People Operations, Compensation, Payroll, and Engineering teams to deliver system enhancements, process automations and resolve issues
• Support mergers and acquisitions and Internationalization efforts by driving onboarding workflows, data migration activities and aligning systems with company standards
• Contribute to the development of AI-enabled solutions within HR systems to improve workflows and reporting

What you bring

• You have 6+ years of experience working with Workday, including configuration across HCM, Compensation, Payroll and Benefits, with a proven track record of architectural and design leadership
• You have experience building and maintaining Workday reports, integrations, and security models
• You are familiar with Payroll and Finance processes and how they connect to HR systems
• You have hands-on experience using Workday Studio, custom integration patterns using APIs (SOAP/REST/WQL); experience with Workday Extend, Orchestrations and Prism is a plus
• Demonstrated ability to leverage modern AI tools (e.g., Claude Code, ChatGPT, enterprise AI assistants) to accelerate your own engineering workflows, coupled with a track record of building AI-enabled automations is a massive plus
• You can translate business requirements into system solutions and communicate clearly with technical and non-technical partners

What we offer

• Challenging, high-impact work to grow your career.
• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
• Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
• Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Fraud Data Science team safeguards Robinhood and its customers by detecting and preventing fraud and abuse across our platform. We leverage machine learning and analytics to combat malicious behavior in real time, supporting a safe and trusted experience for all users. Our work has a direct impact on customer security, company risk posture, and regulatory compliance.

As a Senior Data Scientist on the Fraud team, you will own the design and deployment of ML solutions that proactively surface suspicious activity, reduce financial loss, and improve fraud detection precision. You’ll collaborate closely with engineering, product, risk, and compliance partners to influence system architecture, shape policy through data, and enhance the safety and integrity of our platform.

This role is based in our Menlo Park office, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. 

What you’ll do

• Design and deploy fraud detection models to protect Robinhood users and assets in real time
• Analyze behavioral data to uncover emerging fraud vectors and support rapid incident response
• Develop robust data pipelines and monitoring systems to ensure model accuracy and reliability
• Partner with engineering and product teams to implement safeguards and user-facing features
• Guide experimentation strategy and contribute to long-term fraud prevention roadmap

What you bring

• 5+ years of experience in data science or applied ML, with a focus on fraud detection or risk mitigation
• Advanced proficiency in Python and SQL; experience with ML frameworks like XGBoost, LightGBM, or TensorFlow
• Strong statistical acumen with experience in anomaly detection, pattern recognition, and A/B testing
• Excellent communication skills and ability to influence decision-making across technical and non-technical audiences
• A collaborative mindset and proactive approach to navigating ambiguity in fast-paced environments

What we offer

• Challenging, high-impact work to grow your career.
• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
• Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
• Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

Overview: 

Guidepoint seeks an experienced Data/AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products. 

This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The Senior AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools across all of Guidepoint’s products. 

Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.

This is a hybrid position based in Toronto. 

What You'll Do 

• Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. 

• Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production environments like Databricks and Azure Kubernetes Service (AKS). 

• Optimize RAG Pipelines: Continuously improve retrieval and generation quality through techniques like retrieval optimization (tuning k-values, chunk sizes), using re-rankers, advanced chunking strategies, and prompt engineering for hallucination reduction. 

• Integrate Intelligent Systems: Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories, external APIs, and real-time data streams to create powerful copilots and research assistants. 

• Champion LLMOps and Engineering Best Practices: Collaborate with data science and engineering teams to establish and implement best practices for LLMOps, including automated evaluation using frameworks like LLM Judges or MLflow, AI observability, and system monitoring. 

• Evaluate and Implement AI Strategies: Systematically evaluate and apply advanced prompt engineering methods (e.g., Chain-of-Thought, ReAct) and other model interaction techniques to optimize the performance and safety of proprietary and open-source LLMs. 

• Mentor and Lead: Provide technical leadership to junior engineers through rigorous code reviews, mentorship, and design discussions, helping to elevate the team's engineering standards. 

• Influence the Roadmap: Partner closely with product and business stakeholders to translate user needs into technical requirements, define priorities, and shape the future of our AI product offerings. 

 What You'll Bring 

• Experience: A Bachelor’s degree in Computer Science, Engineering, or a related technical field with 6+ years of professional experience; or a Master’s degree with 4+ years of professional experience in backend software engineering and Generative AI. This must include a proven track record of designing, building, and scaling distributed, production-grade systems. 

• Strong Software Engineering Fundamentals: Deep expertise in Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio). Proficiency in designing RESTful APIs, microservices, and the complete operational lifecycle, including comprehensive testing, CI/CD (e.g., ArgoCD), observability, monitoring, alerting, maintaining high uptime, and executing zero-downtime deployments. 

• Cloud & Infrastructure Proficiency: Hands-on experience deploying and managing applications on a major cloud platform (Azure preferred, AWS/GCP acceptable) using containerization (Docker) and orchestration (Kubernetes, Helm). 

• Production AI Application Experience: 2+ years of experience building applications that leverage large language models from providers like OpenAI, Anthropic, or Google Gemini. Direct experience with modern LLM patterns such as retrieval-augmented generation (RAG), hybrid search using vector databases (e.g., Pinecone, Elasticsearch), multi-agent AI systems with tool calls, and prompt engineering is required. 

• AI System Design and Evaluation: Experience designing and implementing robust evaluation frameworks for LLM-based systems, including rubric-based scoring, LLM Judges, or using tools like MLflow, alongside monitoring for performance and drift. 

• Large-Scale Data Processing: Familiarity with large-scale data processing platforms and tools (e.g., Databricks, Apache Spark). 

• Familiarity with the Modern AI Stack: Practical experience with libraries and frameworks like LangChain or LlamaIndex for building LLM-powered applications. 

• Leadership and Mentorship: Demonstrated ability to lead complex technical projects and foster the growth of other engineers. 

What We Offer:  

The annual base salary range for this position is $135,000 - $210,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

You will also be eligible for the following benefits: 

• Paid Time Off 

• Comprehensive benefits plan 
• Company RRSP Match 
• Development opportunities through the LinkedIn Learning platform 

About Guidepoint: 

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action. 

Backed by a network of nearly 1.75 million experts, and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful. 

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience. 

#LI-SP1

#LI-Hybrid

About the Role:

We are seeking an experienced Principal Software Engineer (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.

What You'll Do:

• Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
• Design and implement data architectures and storage solutions to efficiently handle massive data volumes
• Collaborate closely with data scientists to support and integrate ML models into data workflows
• Continuously improve data quality, performance, and scalability of our technographic data platform
• Drive technical strategy and roadmap for the data processing infrastructure.

What We're Looking For:

• Extensive experience building and scaling big data pipelines and architectures from scratch
• Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
• Strong software engineering fundamentals and ability to write efficient, high-quality code
• Experience with entity recognition and NLP techniques a plus
• Proven track record delivering results and driving projects in a fast-paced environment
• Excellent collaboration and communication skills to work with data scientists, analysts and product teams
• Passion for leveraging huge datasets to power valuable insights.

Ideal Background:

• 10+ years of experience in software engineering roles.
• Experience working with very large datasets and distributed systems
• Familiarity building data pipelines at large tech companies or data-driven organizations
• Bachelor's or advanced degree in Computer Science, Engineering or related technical field.

#LI-SK1

#LI-Remote

Role Description

Responsibilities

• Help define company data assets (data model), Spark, SparkSQL jobs to populate data models
• Help define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage
• Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable 
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• 5+ years of Spark, Python, Java, C++, or Scala development experience
• 5+ years of SQL experience
• 5+ years of experience with schema design, dimensional data modeling, and medallion architectures
• Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
• Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• Experience designing, building and maintaining data processing systems

Role Description

Responsibilities

• Help define company data assets (data model), Spark, SparkSQL jobs to populate data models
• Help define and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineage
• Work closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable 
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• 5+ years of Spark, Python, Java, C++, or Scala development experience
• 5+ years of SQL experience
• 5+ years of experience with schema design, dimensional data modeling, and medallion architectures
• Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics
• Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• Experience designing, building and maintaining data processing systems

Role Description

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions
• Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards
• Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access
• Architect and implement a shift-left data governance strategy,  working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production
• Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement
• Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable
• Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS degree in Computer Science or related technical field, or equivalent technical experience
• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership
• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)
• 8+ years of Python development experience, including building and maintaining production data pipelines
• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains
• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
• Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries

Preferred Qualifications

• Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures
• Experience leading orchestration or platform modernization efforts at scale
• Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar
• Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)
• Track record of establishing data engineering standards and best practices in a federated analytics organization

Compensation

Role Description

Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build, deploy, and govern analytics pipelines across Dropbox.

This is not a maintenance role. We are modernizing our analytics platform, upgrading orchestration infrastructure, building shared and reusable data models with conformed dimensions, establishing a certified metrics framework, and laying the foundation for AI-native data development. You will partner closely with Data Science, Data Infrastructure, Product Engineering, and Business Intelligence teams to make this happen.

You will play a crucial role in establishing analytics engineering standards, designing scalable data models, and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership, shape the technical direction of analytics infrastructure at Dropbox, and directly influence how data powers product and business decisions.

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Responsibilities

• Lead the design and implementation of shared, reusable data models, defining shared fact tables, conformed dimensions, and a semantic/metrics layer that serves as the single source of truth across analytics functions
• Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards
• Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access
• Architect and implement a shift-left data governance strategy,  working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production
• Collaborate with Data Science leads and Product Management to translate metric definitions into reliable, certified data pipelines that power executive dashboards, WBR reporting, and growth measurement
• Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable
• Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• BS degree in Computer Science or related technical field, or equivalent technical experience
• 12+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership
• 12+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale (Spark SQL)
• 8+ years of Python development experience, including building and maintaining production data pipelines
• Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains
• Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
• Demonstrated ability to drive cross-team technical alignment, establishing standards, influencing without authority, and working across Data Engineering, Data Science, Data Infrastructure, and Product Engineering boundaries

Preferred Qualifications

• Experience with Databricks (Unity Catalog, Delta Lake) and modern lakehouse architectures
• Experience leading orchestration or platform modernization efforts at scale
• Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar
• Experience building or contributing to a metrics/semantic layer (dbt MetricFlow, Databricks Metric Views, or equivalent)
• Track record of establishing data engineering standards and best practices in a federated analytics organization

Compensation

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. 

The Vulnerability Management team’s mission is to reimagine security as an engineering and design challenge by building scalable, automated defense systems that proactively identify and reduce risk. The team is driving a shift toward an intelligence-driven defense model, leveraging advanced technologies like AI and machine learning to move beyond traditional “scan-and-patch” approaches and make security seamless for developers.

As a Senior Vulnerability Management Engineer, you will lead the transformation of vulnerability management into a self-scaling security platform. You’ll architect next-generation automated defense systems, using Agentic AI and machine learning to continuously discover, prioritize, and remediate risk at scale—helping make security efficient, proactive, and embedded into the development lifecycle.

This role is based in our Toronto, Canada office(s), with in-person attendance expected at least 3 days per week. 

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Set Strategic RBVM Vision: Act as the technical lighthouse, defining the multi-year roadmap and driving the move toward Risk-Based Vulnerability Management (RBVM), prioritizing vulnerabilities based on real-world exploitability and business context.
• Architect Agentic AI Systems: Design and deploy AI agents that autonomously triage findings, correlate threat intelligence, and generate production-ready remediations (e.g., automated Pull Requests for dependency updates and config drift).
• Build Exposure Intelligence: Develop systems that correlate vulnerabilities with runtime context and infrastructure topology (Kubernetes/AWS) to accurately model real-world blast radius and ensure engineers only fix what is actually exploitable.
• Automate Triage & Self-Healing: Create "paved roads" and CI/CD guardrails that prevent specific vulnerability categories from ever reaching production, reducing manual toil for the entire engineering organization.
• Data-Centric Visibility: Build high-fidelity dashboards using LLM-powered summarization to translate complex security signals into actionable insights for engineering leadership.
• Lead Emergency Response: Orchestrate the technical response to high-impact zero-days by rapidly performing cross-environment blast-radius analysis.
• Drive Execution Ownership: Take full ownership of operational security work, ensuring that critical vulnerabilities are systematically eradicated while maintaining high engineering velocity.

What you bring

• Experience: 5+ years in Security Engineering with a track record of leading high-impact automation or security platform initiatives at a Senior or Staff level.
• AI & Agentic System Fluency: Hands-on experience building or deploying agentic systems or LLM orchestration frameworks (e.g., LangChain, AutoGPT) to solve complex security or engineering problems at scale.
• Bug Bounty & Exploit Proficiency: Active experience participating in or managing Bug Bounty programs; a deep understanding of how attackers exploit vulnerabilities and how to translate those findings into systemic fixes.
• Engineering Excellence: Strong software engineering background with proficiency in Go or Python and a history of building scalable, API-driven security tooling.
• Modern Infrastructure Depth: Deep knowledge of securing AWS and Kubernetes-based architectures.
• Vulnerability Domain Knowledge: High familiarity with vulnerability categories, exploitability, and modern risk frameworks (CVSS, EPSS, CISA KEV).
• Detection Ecosystems: Experience with modern platforms like Snyk, Semgrep, Wiz, EndorLabs, or TruffleHog.
• Velocity Mindset: A commitment to reducing security friction and a track record of working effectively with high-velocity engineering teams.

Nice to have

• Fintech Experience: Experience navigating security in highly regulated or high-growth financial environments.
• Security as Code: Experience implementing "Security as Code" within large-scale CI/CD environments.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces. 
• Monthly commuter stipend to help offset in-office commuting costs

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. 

At Robinhood, we view security as an engineering and design challenge, not an administrative one. We are looking for a lead architect for our next-generation automated defense systems. As a Senior Vulnerability Management Engineer, you will transform the program into a self-scaling security platform that transcends traditional "scan-and-patch" cycles. You will lead the shift to an Intelligence-Driven Defense model by leveraging Agentic AI and Machine Learning to automate the discovery, prioritization, and remediation of risk at scale, ultimately making security "cheap" for our developers.

This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. 

What you’ll do

• Set Strategic RBVM Vision: Act as the technical lighthouse, defining the multi-year roadmap and driving the move toward Risk-Based Vulnerability Management (RBVM), prioritizing vulnerabilities based on real-world exploitability and business context.
• Architect Agentic AI Systems: Design and deploy AI agents that autonomously triage findings, correlate threat intelligence, and generate production-ready remediations (e.g., automated Pull Requests for dependency updates and config drift).
• Build Exposure Intelligence: Develop systems that correlate vulnerabilities with runtime context and infrastructure topology (Kubernetes/AWS) to accurately model real-world blast radius and ensure engineers only fix what is actually exploitable.
• Automate Triage & Self-Healing: Create "paved roads" and CI/CD guardrails that prevent specific vulnerability categories from ever reaching production, reducing manual toil for the entire engineering organization.
• Data-Centric Visibility: Build high-fidelity dashboards using LLM-powered summarization to translate complex security signals into actionable insights for engineering leadership.
• Lead Emergency Response: Orchestrate the technical response to high-impact zero-days by rapidly performing cross-environment blast-radius analysis.
• Drive Execution Ownership: Take full ownership of operational security work, ensuring that critical vulnerabilities are systematically eradicated while maintaining high engineering velocity.

What you bring

• Experience: 5+ years in Security Engineering with a track record of leading high-impact automation or security platform initiatives at a Senior or Staff level.
• AI & Agentic System Fluency: Hands-on experience building or deploying agentic systems or LLM orchestration frameworks (e.g., LangChain, AutoGPT) to solve complex security or engineering problems at scale.
• Bug Bounty & Exploit Proficiency: Active experience participating in or managing Bug Bounty programs; a deep understanding of how attackers exploit vulnerabilities and how to translate those findings into systemic fixes.
• Engineering Excellence: Strong software engineering background with proficiency in Go or Python and a history of building scalable, API-driven security tooling.
• Modern Infrastructure Depth: Deep knowledge of securing AWS and Kubernetes-based architectures.
• Vulnerability Domain Knowledge: High familiarity with vulnerability categories, exploitability, and modern risk frameworks (CVSS, EPSS, CISA KEV).
• Detection Ecosystems: Experience with modern platforms like Snyk, Semgrep, Wiz, EndorLabs, or TruffleHog.
• Velocity Mindset: A commitment to reducing security friction and a track record of working effectively with high-velocity engineering teams.

Nice to have

• Fintech Experience: Experience navigating security in highly regulated or high-growth financial environments.
• Security as Code: Experience implementing "Security as Code" within large-scale CI/CD environments.

What we offer

• Challenging, high-impact work to grow your career.
• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
• Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
• Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. 

The Security Operations (SecOps) team works to safeguard Robinhood and its customers by identifying, investigating, and responding to security threats. The team monitors production systems, endpoints, and cloud environments, and uses threat intelligence and structured testing to uncover risks before they affect customers. SecOps partners closely with engineering and infrastructure teams to strengthen detection coverage and response readiness. The team’s focus is clear: reduce risk, improve visibility, and protect customer trust every day!

As a Security Engineer, Detection & Response, you will strengthen Robinhood’s ability to detect, investigate, and contain security incidents. You will design and improve detection logic, analyze security telemetry across cloud and endpoint systems, and contribute to measurable reductions in false positives and detection gaps. You will work directly with SOC analysts and security engineers to refine investigation workflows and document incident findings. This role is ideal for someone who enjoys hands-on detection engineering and improving how teams respond to real-world threats!

This role is based in our Menlo Park, CA office, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Investigate security alerts across SIEM, EDR, and cloud security platforms, perform log analysis, and coordinate containment or remediation steps with engineering partners
• Develop, test, and tune detection rules using query languages to improve signal quality and reduce false positives
• Correlate data from multiple telemetry sources to identify attack patterns and determine appropriate response actions
• Monitor emerging threats and update detection logic based on investigation findings and threat intelligence reporting
• Contribute to automation efforts by building or refining SOAR playbooks and scripts that improve investigation speed and consistency
• Document incidents and contribute to post-incident reviews with clear findings and recommended improvements to detection and response processes

What you bring

• 2–4 years of experience in security operations, detection engineering, or incident response
• Experience analyzing logs and tuning alerts within SIEMs, EDR platforms, and cloud security tools
• Experience writing detections using query languages (e.g., SQL-like, KQL, or similar)
• Familiarity with threat hunting and investigation techniques across cloud and endpoint environments
• Ability to analyze security telemetry, identify patterns of malicious activity, and recommend practical improvements
• Clear written and verbal communication skills when documenting incidents and collaborating with technical teams

Nice to have:

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Experience developing and deploying SOAR playbooks to automate detection and response workflows
• Familiarity with AWS, Okta, Kubernetes, and/or Google Workspace security monitoring tools
• Experience writing software to support detection and response tooling with a focus on secure, maintainable code
• Experience in building Agentic workflows, optimizing workflows with Generative AI

What we offer

• Challenging, high-impact work to grow your career.
• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
• Best-in-class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
• Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more.
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. 

The Security Operations (SecOps) team works to safeguard Robinhood and its customers by identifying, investigating, and responding to security threats. The team monitors production systems, endpoints, and cloud environments, and uses threat intelligence and structured testing to uncover risks before they affect customers. SecOps partners closely with engineering and infrastructure teams to strengthen detection coverage and response readiness. The team’s focus is clear: reduce risk, improve visibility, and protect customer trust every day!

As a Security Engineer, Detection & Response, you will strengthen Robinhood’s ability to detect, investigate, and contain security incidents. You will design and improve detection logic, analyze security telemetry across cloud and endpoint systems, and contribute to measurable reductions in false positives and detection gaps. You will work directly with SOC analysts and security engineers to refine investigation workflows and document incident findings. This role is ideal for someone who enjoys hands-on detection engineering and improving how teams respond to real-world threats!

This role is based in our Toronto, Canada office(s), with in-person attendance expected at least 3 days per week. 

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Investigate security alerts across SIEM, EDR, and cloud security platforms, perform log analysis, and coordinate containment or remediation steps with engineering partners
• Develop, test, and tune detection rules using query languages to improve signal quality and reduce false positives
• Correlate data from multiple telemetry sources to identify attack patterns and determine appropriate response actions
• Monitor emerging threats and update detection logic based on investigation findings and threat intelligence reporting
• Contribute to automation efforts by building or refining SOAR playbooks and scripts that improve investigation speed and consistency
• Document incidents and contribute to post-incident reviews with clear findings and recommended improvements to detection and response processes

What you bring

• 2–4 years of experience in security operations, detection engineering, or incident response
• Experience analyzing logs and tuning alerts within SIEMs, EDR platforms, and cloud security tools
• Experience writing detections using query languages (e.g., SQL-like, KQL, or similar)
• Familiarity with threat hunting and investigation techniques across cloud and endpoint environments
• Ability to analyze security telemetry, identify patterns of malicious activity, and recommend practical improvements
• Clear written and verbal communication skills when documenting incidents and collaborating with technical teams

Nice to have:

Our ambitious roadmap requires a great culture shaped by exceptional leaders. Here’s what we expect from them:

• Experience developing and deploying SOAR playbooks to automate detection and response workflows
• Familiarity with AWS, Okta, Kubernetes, and/or Google Workspace security monitoring tools
• Experience writing software to support detection and response tooling with a focus on secure, maintainable code
• Experience in building Agentic workflows, optimizing workflows with Generative AI

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces. 
• Monthly commuter stipend to help offset in-office commuting costs

Our team is committed to providing an inclusive and welcoming interview experience for all candidates. If you require a specific accommodation during the application or interview process due to a physical or mental condition, please complete this Applicant Accommodation Form to notify our team. The form should only be completed if you need a specific accommodation.

AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process. These tools enhance the efficiency and consistency of our hiring process; however, all hiring decisions are made by our hiring teams.

Vacancy Notice: This job posting represents an existing vacancy that we are actively seeking to fill.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

We are looking for an experienced backend software engineer to join our Telematics team. At Lyft, Telematics data is used to make Lyft safer by reducing accident risk, which in turn also makes Lyft more affordable for riders and a better way to earn a living for drivers. The Telematics team acts as a platform team that processes vast amounts of high-frequency ride data, serving our Telematics ML models (e.g. harsh braking, harsh acceleration, etc.) and deriving insights for partner teams.

Our technology stack runs on AWS, Kubernetes, Spark and Apache Airflow. In this role, you will work with incredibly passionate and talented colleagues from software engineering (mobile, server and data), machine learning and data science, actuarial science on building industry-leading innovations that make Lyft safer by reducing the frequency and severity of accidents on the platform.

If you are a seasoned engineer with a passion for innovation, high-volume data pipelines, microservices, working in cross-disciplinary environments and possess the skills to ensure the ongoing maintenance and improvement of services, you will thrive on our team!

You can read about some of the products that the Telematics powers in this blog post: https://www.lyft.com/blog/posts/lyfts-impact-on-road-safety

Responsibilities:

• Be a champion of the team’s safety and affordability mission by serving as a reliable source of risk insights for other teams at the company
• Lead large projects, ensuring end-to-end execution with a focus on high quality and reliability.
• Work cross-functionally with Data Scientists to productionize models to derive safety insights from Telematics data, driving the team’s industry-leading innovation in this space
• Actively unblock and support team members, fostering a collaborative and efficient work environment.
• Take a lead role in the ongoing maintenance of our Telematics systems, ensuring their stability and reliability.
• Collaborate with cross-functional teams to define and refine the roadmap for Telematics projects.
• Utilize your expertise in Python, AWS, Spark, SQL, etc. to deliver robust and scalable solutions.
• Participate in our teams on-call rotations, respond to incidents and support other teams mitigate customer impacting events

Experience:

• 5+ years of software engineering industry experience
• Experience in backend software development of large-scale distributed systems
• Experience and/or interest in running large batch processing jobs with Spark or other large scale compute architectures
• Experience and/or interest in Library development
• Experience and/or interest in serving, versioning, monitoring ML models in production environments
• Experience defining API schemas and developing backend services in a microservices environment
• Experience with S3, Spark, Presto, Parquet
• You're a great communicator, and can advocate for your proposals while also empathizing with your cross-functional teammates' goals and priorities
• You collaborate well with a geographically distributed team

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. 

We are seeking a talented Software Engineer to join our dynamic Streaming Compute Team. In this role, you'll be instrumental in designing, developing, and maintaining our low latency and high throughput systems, which are critical to a lot of teams like driver, mapping, fraud etc. and almost all ML models at Lyft. Our systems and platform are used for a variety of use cases such as, persisting high volume service events, detecting issues with routes, computing prime-time, creating, storing and serving ML features for training and inference purposes for teams like payments, incentives etc. The majority of our streaming solutions run on Apache Flink and Apache Beam with support from reading and writing to various sources and sinks respectively.

As a Software Engineer,  you will lead the team’s projects and initiatives seeing them to completion. You will be responsible for key systems and components within the team. You will identify and lead the efforts in improving architecture and operations for the team.

We are looking for candidates who have prior experience with near-real-time streaming systems, are self-starters, and have a proven track record of delivering high-quality software solutions that solve critical business needs. The candidate should be able to dive deep into problems with lots of ambiguity, leading architectural design and building robust, well-tested technical solutions. They should be willing to take complete ownership of a project or a feature, able to drive it from design and implementation through to operational excellence, while also mentoring others, improving team engineering practices, and collaborating effectively with partners.

Responsibilities:

• Design, develop, deploy, monitor, operate and maintain scalable streaming solutions that constitute our streaming platform
• Work with technologies such as Apache Kafka, Flink, Beam etc.  to enhance our data platform's streaming offerings
• Collaborate with cross-functional teams to integrate streaming solutions into the broader data architecture
• Analyze our internal systems and processes and locate areas for improvement/automation
• Collaborate with product org stakeholders to address and prioritize custom edge cases
• Help lead large projects from inception to positive execution
• Operate a real-time streaming platform with high availability and low downtime to meet the demands of latency-sensitive workloads.

Experience:

• 5+ years of experience with building, deploying and maintaining low latency, high throughput services
• 5+ years of experience building and developing large-scale infrastructure, distributed systems or networks, and/or experience with compute technologies
• 3+ years of software engineering industry experience and with distributed streaming solutions like Apache Flink, Beam, Spark streaming, Streaming SQL etc.
• Experience working with Kubernetes and container technologies (e.g. Docker, cri-o, etc)
• Familiar with a cloud-based environments such as AWS/GCP/Azure

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

As a Data Engineer on the Mapping team, you will collaborate with our world class team of engineers, product managers, and data scientists to grow and improve the quality of recommended routes and accuracy of our travel time estimations. You will architect, build, and maintain scalable data pipelines and services to support route simulation, experimentation, analytics, and machine learning models. Your work will enable integration with partner teams and allow stakeholders across Engineering, Data Science, and Product to make data-informed decisions that directly impact Lyft’s growth and profitability.

Our technology stack is based on the latest technologies such as AWS, Kubernetes and Apache Airflow. You will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on projects that directly impact millions of riders and drivers.

Responsibilities

• Owner of the core data pipelines in mapping, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
• Develop strong subject matter expertise in the systems you manage, setting and managing SLAs for both data pipeline and datasets
• Continuously evolve data models and schemas to meet business and engineering requirements
• Develop tools that support self-service management of data pipelines (ETL), schema evolution, and perform SQL tuning to optimize data processing performance
• Write clean, well-tested, and maintainable code, prioritizing scalability and cost efficiency
• Conduct code reviews to uphold code quality standards and facilitate knowledge sharing
• Participate in on-call rotations to maintain high availability and reliability of data workflows
• Unblock, support and communicate with internal & external partners to achieve results

Experiences

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
• 4+ years of relevant professional experience
• Strong experience with Spark and with a scripting language (Python, Ruby, Bash)
• Exceptional analytical skills, with an in-depth understanding of data quality issues and the ability to dive into complex datasets to resolve inconsistencies
• Excellent communication skills, with the ability to articulate technical concepts clearly to both technical and non-technical audiences while collaborating effectively across teams
• Experience with disparate database, querying and streaming technologies such as S3, DynamoDB, HDFS, Hive, Presto, Pig, HBase, Parquet, Iceberg, Flink, Spark Streaming, Kafka
• Experience with data quality tools such as Great Expectations, dbt, Monte Carlo, Soda, Collibra
• Strong understanding of SQL Engine, experience with querying geospatial data, and able to conduct advanced performance tuning
• Proficient in at least one of the SQL languages (MySQL, PostgreSQL, SqlServer, Oracle)
• Experience with workflow management tools (Airflow, Oozie, Azkaban, UC4, Prefect)
• Experience with infra tooling (Terraform, Cloud Formation, Docker, Kubernetes, Ansible, Chef, Puppet etc preferably in an AWS context) 
• Experience defining API schemas and developing backend services in a microservices environment

Benefits

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. 

The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. 

As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI Agent Platform . Your efforts will be critical to the reliability of our pipelines, execution of third party data integrations, accurate reporting of agents performance, and efficiency improvements that can save millions of dollars / year. You will work cross-functionally to bridge Lyft's business goals with data engineering. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others. 

Responsibilities:

• Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
• Evolve data model and data schema based on business and engineering needs
• Implement systems tracking data quality and consistency
• Develop tools supporting self-service data pipeline management (ETL)
• SQL and MapReduce job tuning to improve data processing performance
• Write well-crafted, well-tested, readable, maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge
• Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions

Experience:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field
• 4+ years of professional experience in data engineering, ideally with large-scale distributed systems.
• Strong skills in Spark, Python (or similar scripting language), and SQL performance tuning
• Experience with AWS, Hadoop/S3, Hive, Presto, Airflow, and related tools
• Solid understanding of ETL processes, workflow orchestration, and data warehousing
• A collaborative mindset—you’re comfortable working across teams to solve real-world problems

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

 Our mission depends on having a digital representation of the physical world - a map with all routing related (real-time) information. This is what makes Lyft different from many products: our products don’t just facilitate online interactions, they facilitate dynamic, real-world ones. Without mapping services, none of these real world interactions between people and transport can happen.

We are hiring a Senior Data Engineer to join our Pickup, Places and Search team within the Mapping organization that is responsible for building, enhancing and maintaining the Rider and Driver product for the Pickup/Drop off Experience. This team supports the backbone of Lyft’s search system, supporting millions of rides by helping our riders and drivers connect and reach their destination. Our focus is to ensure the pickup/dropoff experience is seamless by enhancing guidance and routing as well as the rider experience. Additionally the team uses map data and other signals to create new product experiences in collaboration with teams across Lyft. This team has a history of enabling rich and creative features that directly influence the product for all of our users. We constantly innovate and incorporate cutting-edge technologies to make the lives of our community more enriched.

In this role, you'll collaborate with other engineering teams, product, data science, analytics, and operations on programs that empower us to iterate quickly, delighting our passengers and drivers with rideshare focused mapping experiences.

Responsibilities:

• Owner of core company data pipelines, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
• Continuously evolve data models and schemas based on business and engineering requirements
• Implement and maintain systems to monitor and enhance data quality and consistency
• Develop tools that support self-service management of data pipelines (ETL) and optimize data processing performance
• Write well-crafted, well-tested, readable, maintainable code that prioritizes scalability and cost efficiency
• Conduct code reviews to ensure code quality standards and facilitate knowledge sharing
• Participate in on-call rotations to maintain high availability and reliability of workflows and data pipelines
• Collaborate with internal and external partners to remove blockers, provide support, and achieve results
• Help establish technical roadmaps and architectures based on technology and our business needs.
• Drive high-impact projects and innovate new solutions to provide the best mapping experience possible.
• Ship ML models at scale and low cost by focussing on systems / performance engineering.
  
  

Experience:

• 5+ years of relevant professional experience in data engineering or a related field
• Strong expertise in SQL and experience with Trino or Spark/PySpark
• Experience building and optimizing complex data models and pipelines with a strong understanding of ETL processes
• Expertise in data modeling and ETL, with experience developing and optimizing complex data models and pipelines
• Hands-on experience with workflow management tools (e.g., Airflow or similar)
• Proficiency in a scripting language like Python or Bash
• Comfortable working directly with cross-functional teams (data analytics, data science, engineering) to align solutions with business goals

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $136,000 - CAD $170,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

 This job fills an existing vacancy.

About the team + role

We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.

The Growth Engineering team focuses on expanding Robinhood’s customer base and increasing engagement by improving onboarding, activation, and retention experiences across our mobile platform. The team partners closely with product, data, and design to build features that help more people access financial tools and make informed decisions. You’ll contribute to experiments and product improvements that directly influence user growth and long-term customer value!

As an iOS Engineer, you will design and build high-quality mobile features that support user acquisition and engagement goals. You’ll work on improving app performance, reliability, and usability while partnering with product managers and designers to deliver measurable improvements in key metrics such as conversion and retention. 

This role is based in our Menlo Park, CA office with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you'll do

• Build and maintain iOS features that improve onboarding, activation, and user retention
• Write clean, testable Swift code and contribute to improving app performance and reliability
• Partner with product managers and designers to implement features that improve conversion and engagement metrics
• Analyze experiment results and iterate on features to improve user outcomes
• Contribute to code reviews and share knowledge to support team development

What you bring

• You have 4+ years of experience building and shipping iOS applications using Swift
• You have experience improving app performance, reliability, and user experience in production environments
• You are comfortable working with product and design partners to deliver user-facing features tied to measurable outcomes
• You have experience using experimentation or A/B testing to guide product decisions
• You communicate clearly and contribute to a supportive and collaborative team environment

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces. 
• Monthly commuter stipend to help offset in-office commuting costs

About the team + role 

We’re excited to invite talented and motivated iOS Developers to join our Apple Design Award-winning team to help expand Robinhood’s mobile experience for our customers. Our iOS community is extremely tight knit! We have weekly syncs, frequent tech talks, and recurring in-person offsites. Come join us!

The Crypto Trading group builds the mobile experiences that enable customers to buy, sell, and manage digital assets with clarity and reliability. The team focuses on delivering performant, secure, and intuitive trading flows while partnering closely with backend, product, and design teams to support evolving crypto products and regulatory requirements!

As an iOS Engineer, you will design and build core features for Robinhood’s crypto trading experience on iOS. You will contribute to architecture decisions, improve app performance and reliability, and collaborate with engineers, designers, and product managers to deliver features that directly support customer trading activity and portfolio management. You will also help define technical direction and raise engineering standards through code reviews and mentorship.

This role is based in our New York, NY office with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do

• Work with a fast-growing team to revolutionize finance at speed and scale
• Build and enhance iOS features using Swift and UIKit and/or SwiftUI to support core customer experiences
• Contribute to mobile architecture and code structure to ensure scalability, reliability, and maintainability
• Optimize app performance and responsiveness using iOS profiling and debugging tools
• Write clean, maintainable, and well-tested code and standard iOS testing practices

What you bring

• You have 4+ years of professional iOS development experience, including shipping customer-facing features in production applications.
• You demonstrate solid proficiency in Swift and modern iOS frameworks (e.g., SwiftUI, UIKit), and apply established architectural patterns to build maintainable, testable code.
• You independently own medium-to-large features from technical design through implementation, testing, and release.
• You write clean, well-documented code and contribute to code reviews that improve quality and team standards.
• You collaborate effectively with product managers, designers, and backend engineers to translate requirements into reliable, performant mobile experiences.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, and equity ownership
• Top tier benefits to fuel your work, including supplemental health insurance, ancillary insurance, and mental health support programs
• Lifestyle wallet - a highly flexible employer-paid benefits spending account expenses beyond traditional benefits such as wellness, childcare, learning, and more.
• Time off to recharge including company holidays, paid time off, sick time, paid volunteer time off, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces. 
• Monthly commuter stipend to help offset in-office commuting costs

At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning.

We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem.

We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit.

If you love working on complex, real-world ML problems at massive scale, this role is for you.

What You’ll Work On

As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including:

• Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities
• Intelligent advertising systems including ranking, bidding, measurement, and optimization
• Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals
• Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems
• Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement

You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes.

What You’ll Do

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. 
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
• Improve system performance across latency, throughput, and model quality metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment 
• Contribute to technical strategy, architecture, and long-term ML roadmap

Basic Qualifications

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
• Experience improving measurable metrics through applied machine learning

Preferred Qualifications

• Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
• Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
• Experience working with real-time systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring
• Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
• Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams

• Ads Measurement Modeling 
• Ads Targeting and Retrieval
• Advertiser Optimization
• Ads Marketplace Quality
• Ads Creative Effectiveness
• Ads Foundational Representations
• Ads Content Understanding
• Ads Ranking
• Feed Relevance
• Search and Answers Relevance
• ML Understanding
• Notifications Relevance

Benefits

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

About the Team and Role

The Customer Care & Concierge Engineering team builds the products and platforms that support Robinhood’s most engaged customers. This team develops a suite of tools and services—including dedicated support experiences, tax workflows, and estate planning capabilities—designed to help customers manage significant portions of their financial lives with confidence. The work spans customer-facing features and the internal systems that power high-quality service delivery. We are entering a strong growth phase as we expand this offering and continue building toward a comprehensive private family office experience for our customers!

As an Engineering Manager, you will lead a team of engineers focused on building and scaling core product capabilities for this premium customer segment. You’ll partner closely with product and design to define and deliver customer-facing solutions from concept through launch, while also strengthening the underlying platform that enables expansion across new geographies. This role is ideal for a technically strong leader who enjoys building 0→1 products, iterating based on customer feedback, and growing engineers early in their careers. You will play a key role in shaping both the product direction and the engineering culture of a team that touches many parts of Robinhood!

This role is based in our Menlo Park, CA office, with in-person attendance expected 5 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What you’ll do
 ● Lead and develop a team of engineers, providing technical guidance, regular feedback, and support for career growth.
 ● Partner with product and design to define requirements, scope milestones, and deliver customer-facing features that support high-value Robinhood customers.
 ● Oversee the design and implementation of backend or full-stack systems that power concierge tools, tax-related workflows, and estate planning capabilities.
 ● Establish clear engineering processes to ensure reliable delivery, code quality, and system scalability as the product expands to new markets.
 ● Contribute technically when needed, reviewing architecture decisions and helping the team solve complex implementation challenges.

What you bring
 ● 1–3 years of experience managing engineers, with a track record of supporting performance and career development.
 ● Experience building and launching 0→1 or early-stage consumer-facing products, or leading product-adjacent platform initiatives.
 ● Strong backend or full-stack technical background, with the ability to review system design and guide architectural decisions.
 ● Experience working on teams that ship customer-facing software at scale, ideally in environments with 50+ engineers.
 ● Ability to translate business goals into clear technical plans and measurable milestones.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

What we offer

• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Scientist Intern who can help us discover the value out of our rich and large datasets. Our ideal team member will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind that’s not so easy to find. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. If you love technology and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Data Scientist Intern, you will be a crucial part of producing innovative analytics from Geotab’s big data environment. We believe that there is collective value in the massive amount of data arising from all of our sensors across the globe. And most importantly, we believe this data can be used to improve safety, infrastructure, and productivity for our customers. You will work with our team of data scientists and engineers who have curated our data repository and have created a series of near real-time and historical datasets. You will leverage data mining techniques, Machine Learning, Deep Learning, Neural Networks and other Artificial Intelligence and statistical analysis tools to build models and high-quality prediction systems to help our customers make informed and smarter decisions. You will work closely with Data Analysts, Data Engineers, Professional Services, Data Privacy & Governance, firmware as well as other internal departments such as Software Development and Solutions Engineering to achieve these objectives.

The opportunity:

• 8+ month work-term beginning September 2026.
• Full-time, paid internship: Monday - Friday, 37.5hrs/week.
• Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
• Learn more about the Geotab Campus Program here.
• This posting is for an existing vacancy.

How you'll make an impact:

• The primary objective of this internship is to develop a "Reasoning & Automation" solution that evolves Geotab Ace into a fully integrated, context-aware assistant. Key goals include:
  • Multi-Modal Ingestion: Implement a multi-modal ingestion layer (leveraging technologies like Google's LiveAPI) capable of processing screen content, audio, and text simultaneously to establish real-time user context.
  • Contextual Enrichment: Develop mechanisms to automatically enrich user prompts with environmental state (e.g., current page URL, visible data charts), eliminating the need for users to manually explain their context.
  • Proactive Assistance & Navigation: Extend the reasoning capabilities of the agent to not only answer data queries but also guide users through complex workflows ("Where do I go to...") and offer proactive support.
  • Optimization of RAG & SQL Generation: Continue to refine the underlying RAG architecture and "text-to-SQL" generation for Google BigQuery to ensure the answers provided are accurate, safe, and efficient.

What you'll bring to the role:

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

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

What you'll be doing

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

What we're looking for

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

Additional information

• Relocation support is not available for this position

Life at Unity

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

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

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

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

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

L’opportunité
Chez Unity, nous bâtissons un écosystème publicitaire de calibre mondial qui relie des milliards d'utilisateurs(rices) aux créateurs(rices) et aux expériences qu'ils/elles aiment. Notre équipe Advertiser Growth est le moteur de cette mission. Au fur et à mesure que notre place de marché s'étend, elle veille à ce que les annonceurs(ses) aient entre les mains les outils, l'infrastructure et les cadres d'expérimentation nécessaires pour avoir un impact réel.

En 2026, notre feuille de route s'articule autour de trois piliers : Foundation, Smart et Intelligence.
Ce rôle se distingue par son étendue technique. Il est ancré à la fois dans l'exécution financière, l'innovation créative et la science des places de marché.
Vous concevrez les systèmes GenAI qui alimentent la production de créatifs performants, développerez les algorithmes qui orchestrent des budgets publicitaires à grande échelle, et veillerez à ce que nos Pipelines de facturation absorbent des milliards d'événements sans jamais flancher. Vous bâtirez aussi l'infrastructure d'expérimentation sur laquelle repose notre capacité à faire évoluer la place de marché de manière rigoureuse. Ici, vos choix techniques ne restent pas dans le vide : ils touchent directement à l'intégrité financière d'Unity et à la croissance de tout l'écosystème.

Ce que vous allez faire

• Concevoir et optimiser des contrôleurs de cadence sophistiqués (PID, prévision probabiliste) pour lisser les dépenses des annonceurs(ses) selon les fuseaux horaires et les pics de trafic, en garantissant une diffusion optimale et la stabilité de la place de marché.
• Diriger l'intégration côté serveur de modèles d'IA générative (Diffusion, LLMs) pour automatiser la création d'images et de vidéos performantes, adaptées aux objectifs et aux formats de chaque campagne.
• Bâtir et faire évoluer l'infrastructure d'expérimentation à haute vélocité, incluant les tests A/B, les switchback tests et les groupes de contrôle à long terme, afin de mesurer l'impact des changements de la place de marché sur le ROI des annonceurs(ses) et la santé de la plateforme.
• Concevoir et maintenir des Pipelines de facturation à haut débit qui traitent des milliards d'événements avec une précision absolue, en faisant le pont entre la diffusion publicitaire en temps réel et la réconciliation financière critique.
• Analyser des ensembles de données financières et de place de marché complexes pour affiner l'équilibre entre la vélocité des dépenses et la performance des annonceurs(ses), en s'appuyant sur les résultats d'expérimentation pour ajuster la logique de cadence et de facturation.

Ce que nous recherchons

• Un diplôme avancé en informatique ou dans un domaine connexe, ou expérience équivalente.
• 6+ ans d'expérience en développement logiciel, dont au moins 3 ans sur des systèmes de diffusion publicitaire.
• Une solide expérience dans la conception et l'exploitation de systèmes serveur à grande échelle et à faible latence, notamment en Java, Go ou Scala.
• Une bonne maîtrise des systèmes de contrôle budgétaire, des boucles de rétroaction ou des algorithmes de prévision des dépenses.
• Un parcours concret dans la construction ou la mise à l'échelle de plateformes d'expérimentation, avec une compréhension fine de la réduction de variance, des effets de réseau et de la conception de métriques dans un contexte de place de marché.
• Une expérience sur des Pipelines critiques (facturation, paiements, chambres de compensation) où la précision des données.
• Une expérience ou intérêt réel dans la conception des flux côté serveur pour déployer, mettre à l'échelle et stocker des modèles d'IA générative dédiés à la production créative.
• La maîtrise du traitement de flux en temps réel (Kafka, Flink ou Spark), appliqué à la facturation événementielle et à la rétroaction sur la performance.
• L'habitude de piloter des feuilles de route techniques ambitieuses sur plusieurs trimestres, et de faire grandir des développeurs(ses) sénior(e)s dans un environnement qui évolue vite

Information supplémentaire

• Le support à la relocalisation n’est pas disponible pour ce poste

Avantages
Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle.

Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi.

Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons

La vie chez Unity
Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity.

Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com.

Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire.

Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.

Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.

La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats. Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.

#SEN #LI-AR1

The Role

We’re looking for dynamic and results-driven Senior Presales Consultants located in Western Canada to join our team, helping some of the world’s most innovative and fast-growing companies harness the power of AI and automation. This role requires a competitive spirit, a passion for cutting-edge technology, and the flexibility to adapt in a fast-paced, evolving environment. Partnering with our Enterprise Sales team, you will design impactful solutions that address clients’ unique challenges, driving success and measurable outcomes.

Learn more at www.ada.cx.

Responsibilities

• Develop a deep understanding of client goals, industry challenges, lead strategic discovery sessions to identify client pain points and position our offerings as the optimal choice.
• Deliver persuasive, value-driven presentations and demonstrations that showcase our competitive edge, particularly in AI-driven solutions.
• Leverage expertise in AI, LLMs, and generative models to create innovative, automation-first strategies.
• Educate clients on the transformative potential of AI technologies, aligning solutions to their business objectives.
• Adapt to changing client needs and market conditions, maintaining a proactive and solution-oriented mindset.
• Partner with cross-functional teams, including Product and Engineering, to ensure client feedback drives continuous innovation.
• Support the Sales team in navigating complex sales cycles, providing technical expertise and strategic guidance.
• Support revenue goals by driving technical alignment and showcasing the unique value of our solutions.
• Act as a trusted advisor, guiding clients to achieve success through our platform.

About You

• 6-8 years of experience in presales, solutions consulting, or presales engineering.
• Proven track record of winning deals by effectively communicating value and differentiation.
• Strong understanding of AI technologies, including LLMs and generative models, and their business applications.
• Technical proficiency with APIs, SaaS platforms (e.g., Salesforce, Shopify, Zendesk, Hubspot), and integration methodologies.
• Flexible and resilient, able to adapt to shifting priorities and deliver results under pressure.
• Exceptional communication, storytelling, and relationship-building skills.
• Collaborative team player with a passion for learning and innovation.
• Located in Western Canada
  #LI-NS1
  Compensation: $160,000 - $200,000k CAD OTE
  
  Pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law.
  
  

Springboard Fellow

Hillel Guelph - Guelph, Ontario 

Role Overview

Make your mark on Jewish student life by joining Hillel Guelph as the Springboard Fellow. You will be a student engager building meaningful relationships, planning and executing campus programs and events, and inspiring students to deepen their connection and commitment to Jewish life.

Hillel Guelph is the go-to hub for Jewish life on campus. With approximately 1,200 Jewish undergraduate students and 100 graduate students, Guelph is a vibrant, inclusive, and tight-knit community. It holds a proud legacy of student leadership, with generations of changemakers shaping Jewish life in creative, meaningful, and sometimes wonderfully unexpected ways. The Fellow partners closely with the Director to dream big and achieve incredible things for Jewish life on campus.

At Hillel Guelph, you’ll (almost always!) wake up excited to spark something meaningful. You’ll help create a Jewish campus community that’s warm, welcoming, bold, and full of life. If you love real conversations, big ideas, and turning student sparks into unforgettable experiences, you’ll feel right at home here. This isn’t your standard desk job — it’s relationship-building, creative dreaming, and empowering students to bring Jewish life to campus in their own authentic way. Your drive and heart are essential to our success. Because of you, students feel seen, valued, and inspired! 

About The Springboard Fellowship

The Springboard Fellowship is a paid, two-year fellowship that brings recent college grads with raw talent, passion, and skills needed to reimagine and redesign Jewish student life to college campuses across North America. 

Trained in Relationship-Based Engagement, Human-Centered Design and other entrepreneurial frameworks, you will be exposed to the most successful initiatives from across the Hillel movement. Fellows will work with students to imagine, create, and refine experiences for Jewish life that dramatically impact student engagement, efficiently and strategically apply and scale successful initiatives from across the movement, and give birth to cutting-edge ideas that have the potential to transform how Hillel and creates inclusive spaces for #AllKindsOfJewish.

We’re looking for people who embrace challenges, take risks, fail, and learn from the past, while maintaining their passion and sense of humor. Extensive Jewish education is not necessary — just an interest in creating a vibrant Jewish community, a commitment to learning, and the desire to make a difference in the lives of students. 

What You’ll Do

GOALS: 

Short term:

1.       Deepen Student Engagement by investing into building relationships with the student community: Conduct 150 1:1 meetings annually with Jewish students (with emphasis on first-years), engage in conversations during events and create drop in opportunities for in-formal communication.
2.       Programming: Provide logistical and programmatic support for tabling, including weekly bagel lunch and about 2-3 addition events per week. Work in collaboration with student leaders, using both educational/cultural perspectives and engagement strategies in planning events.
3.       Social media: work in collaboration with Hillel Ontario team and students' leadership to strength our Social Media engagement.

Long term:

1.       Cultivate positive vibes: Grow a culture of enthusiasm, collaboration, and shared purpose across our student leadership community. Mainly among about 30 student leaders and with other groups leadership like Aepi, SSI, SWU, Chabad (30 students) and addition core audience.

WHAT YOU’LL DO:  

• Meet up with students to build meaningful relationships across different cohorts and campus groups, learning about their interests and connecting them to opportunities that enrich their university experience.
• Mentor and support board members as they plan and execute impactful programs and events.
• Provide logistical guidance and hands-on support, equipping students with the tools and confidence to successfully lead initiatives.
• Actively promote Hillel programs, engage new students, and recruit participants into vibrant Jewish campus life.
• Lead and facilitate a variety of programs and events, including Shabbat dinners, social gatherings, Jewish learning experiences, and cohort-based initiatives.

Who You Are

• You’re A Relationship-Builder: You thrive on meeting new people, understanding their interests, and forging meaningful connections.
• You’re A Collaborative Team Player: You enjoy working collaboratively with a team to solve problems and explore new initiatives.
• You’re A Passionate Learner: You love learning and continuously building up your Jewish knowledge.
• You’re An Innovative Educator: You believe in infusing education into captivating experiences that stimulate the imagination.
• You’re A Facilitator: You thrive in creating spaces for students to converse, share ideas, and explore and develop their own ideas on relevant issues.
• You’re A Recent College Grad: Whatever your degree, you are excited about Jewish life on campus and have experience as a participant and maybe even as an educator in a Jewish educational setting.
• You’re A Creative Thinker: You are constantly reimagining the ordinary, seeking ways to repurpose and improve things.
• You’re A Bold Visionary: Think big and creatively, viewing everything as a possibility and embracing a risk-taking, entrepreneurial spirit.

 ~You’re A Springboard Fellow ~

What You’ll Bring to the Job

• A bachelor’s degree and lived experience as a recent university graduate.
• 0–3 years of professional work experience (including volunteer, academic, and work)
• A creative mindset that thrives on finding solutions and pushing the boundaries of what’s been done before.
• The ability to build authentic, meaningful relationships with students and colleagues from diverse backgrounds.
• A willingness to step outside your comfort zone and try new ideas — even when the outcome isn’t guaranteed.
• Genuine passion and excitement for Jewish life on campus, and a curiosity to continue shaping your own connection to Judaism.
• A strong entrepreneurial spirit — you can take risks, adapt when plans change, and celebrate both wins and lessons learned.
• Confidence in initiating and leading programs, paired with comfort asking questions and seeking guidance when needed.
• Ability to collaborate effectively across teams inside and outside Hillel.
• Excitement to continue developing your own relationship to Judaism.

What You’ll Receive

• Competitive salary in the nonprofit marketplace. The salary for this role is $50,000 (CDN)  in year one of the Fellowship, and $52,500  (CDN) in year two of the Fellowship.
• A comprehensive benefits package, including health insurance, retirement plan, Life, AD&D and Long Term Disability (LTD) insurances, Flexible Spending accounts, generous vacation/sick time, and parental leave.
• High-level professional development to help develop core skills in experiential education, including learning from some of the most innovative organizations in Jewish education today. 
• $3,200 in professional development funds from the Springboard Fellowship to utilize over the course of two years.
• Intensive Jewish summer and year-long learning experiences that will provide you with the knowledge, passion, and critical tool kit to fuel your work building our Jewish communities. 
• Mentoring and career coaching to help you during and after your Fellowship. 
• A network of terrific colleagues from across the Hillel movement. 
• Travel opportunities, both domestically and internationally, multiple times per year (if permitted).