About Blank Street:

At Blank Street, we’re on a mission to become the defining food and beverage brand of our generation. From the very beginning, we’ve set out to add a spark to ordinary experiences through elevated products, attention-to-detail, and a commitment to making every moment memorable. We’re motivated by the millions of customers we serve across cities, and know that our potential is unlimited. It all starts with our people and their commitment to make magic happen each and every day. Like the sound of this? Keep reading. 

Add a Spark to the Ordinary...

At Blank Street, we’re reimagining the cafe experience, making high-quality coffee and matcha accessible and efficient. As a Shift Lead, you’ll play a key role in bringing our mission to life with your team. You’ll lead by example on the floor, ensure smooth operations during your shift, and create an environment where both customers and team members feel valued. This is a hands-on leadership role for someone who thrives in fast-paced settings, loves connecting with people, motivating their team, and is passionate about great hospitality.

Who We’re Looking For 

• Love for cafe culture and people
• Friendly, open and approachable person who is able to work well with others
• Strong knowledge of coffee and equipment 
• Strong decision making and multi-tasking skills
• Strong interpersonal communication skills
• Passionate about delivering excellent customer connections to create a regular customer base
• Able to work at a fast pace in high volume environments
• Be an exemplary ambassador of our brand
• Desire to foster growth with team members

What You’ll Own

• Craft beautiful coffee products and serve all Blank Street customers with energy, warmth, and empathy
• Support your GM and our Training Team to help train new employees to succeed at Blank Street, including ensuring that new team members are following all recipe and training for menu items and processes and that they are in correct uniform
• Open and close the location safely and responsibly and ensure that cleaning duties for the store are followed at the beginning, during and end of the shift
• Positive and solution focused handling of any minor customer issue
• At a store level, leads all initiatives with the operations and marketing teams to increase foot traffic, new customers, daily sales, and operational profitability and develop a loyal neighborhood customer base for your store

Requirements

• 2+ years’ experience in a customer service leadership position, preferably in hospitality or coffee 
• 18+ years of age
• Able to lift 25+ lbs, and to stand for long periods of time
• Availability that meets the needs of our cafes 
• Full Time: 30-40 hours per week, 4-5 days per week and must be able to work 2 peak days (peak days: Friday, Saturday, Sunday)
• Weekend and holiday availability preferred
• You must be authorized to work in the US: upon acceptance of a job offer and completion of the Form I-9 with acceptable documents, Blank Street will provide the federal government with employees’ Form I-9 information to confirm authorization to work in the U.S. (a process known as ”E-Verify”)

Benefits & Perks 

• $21.00/hour plus tips
• A comprehensive Barista accreditation and training program
• Tenure based paid time off 
• Commuter benefits 
• Sick time 
• 1.5x pay on select holidays like New Year’s Day, Memorial Day, and Juneteenth
• Complimentary coffee and treats on shift 
• Free Blank Street swag

About Blank Street:

At Blank Street, we’re on a mission to become the defining food and beverage brand of our generation. From the very beginning, we’ve set out to add a spark to ordinary experiences through elevated products, attention-to-detail, and a commitment to making every moment memorable. We’re motivated by the millions of customers we serve across cities, and know that our potential is unlimited. It all starts with our people and their commitment to make magic happen each and every day. Like the sound of this? Keep reading. 

Add a Spark to the Ordinary...

At Blank Street, we’re reimagining the cafe experience, making high-quality coffee and matcha accessible and efficient. As a Shift Lead, you’ll play a key role in bringing our mission to life with your team. You’ll lead by example on the floor, ensure smooth operations during your shift, and create an environment where both customers and team members feel valued. This is a hands-on leadership role for someone who thrives in fast-paced settings, loves connecting with people, motivating their team, and is passionate about great hospitality.

Who We’re Looking For 

• Love for cafe culture and people
• Friendly, open and approachable person who is able to work well with others
• Strong knowledge of coffee and equipment 
• Strong decision making and multi-tasking skills
• Strong interpersonal communication skills
• Passionate about delivering excellent customer connections to create a regular customer base
• Able to work at a fast pace in high volume environments
• Be an exemplary ambassador of our brand
• Desire to foster growth with team members

What You’ll Own

• Craft beautiful coffee products and serve all Blank Street customers with energy, warmth, and empathy
• Support your GM and our Training Team to help train new employees to succeed at Blank Street, including ensuring that new team members are following all recipe and training for menu items and processes and that they are in correct uniform
• Open and close the location safely and responsibly and ensure that cleaning duties for the store are followed at the beginning, during and end of the shift
• Positive and solution focused handling of any minor customer issue
• At a store level, leads all initiatives with the operations and marketing teams to increase foot traffic, new customers, daily sales, and operational profitability and develop a loyal neighborhood customer base for your store

Requirements

• 2+ years’ experience in a customer service leadership position, preferably in hospitality or coffee 
• 18+ years of age
• Able to lift 25+ lbs, and to stand for long periods of time
• Availability that meets the needs of our cafes 
• Full Time: 30-40 hours per week, 4-5 days per week and must be able to work 2 peak days (peak days: Friday, Saturday, Sunday)
• Weekend and holiday availability preferred
• You must be authorized to work in the US: upon acceptance of a job offer and completion of the Form I-9 with acceptable documents, Blank Street will provide the federal government with employees’ Form I-9 information to confirm authorization to work in the U.S. (a process known as ”E-Verify”)

Benefits & Perks 

• $21.00/hour plus tips
• A comprehensive Barista accreditation and training program
• Tenure based paid time off 
• Commuter benefits 
• Sick time 
• 1.5x pay on select holidays like New Year’s Day, Memorial Day, and Juneteenth
• Complimentary coffee and treats on shift 
• Free Blank Street swag

About Blank Street:

At Blank Street, we’re on a mission to become the defining food and beverage brand of our generation. From the very beginning, we’ve set out to add a spark to ordinary experiences through elevated products, attention-to-detail, and a commitment to making every moment memorable. We’re motivated by the millions of customers we serve across cities, and know that our potential is unlimited. It all starts with our people and their commitment to make magic happen each and every day. Like the sound of this? Keep reading. 

Add a Spark to the Ordinary…

Baristas at Blank Street are customer-centric and believe in serving a carefully curated menu with passion and precision making every effort to give customers exactly what they need, every day. You will excel in fast-paced environments, enjoy collaborating with your team, and create quality products. Your role will be hospitality driven, taking pride in giving exceptional service leveling up the ordinary customer experience. You’re able to work independently while also thriving in a team environment, helping to build a strong sense of community for both customers and teammates.

Who We're Looking For

• A friendly and enthusiastic team player with a passion for excellent customer service; you're always ready to make your customers' day
• A reliable employee who is able to effectively manage time and priorities, including during busy rush periods where a sense of urgency is necessary
• Passionate about creating delicious coffee, matcha, and other cafe beverages
• A strong independent problem solver with proven multi-tasking and communication skills
• Someone who is curious, adaptable and always willing to learn
• Comfortable working in a team or independently
• Comfortable with cash-handling and maintaining store safety
  
  

What You'll Own

• Delight our customers with consistent, welcoming and engaging customer service, taking the opportunity to turn every customer into a regular
• Work within a world-class coffee program using the best coffee equipment and product in the industry to prepare the tastiest drinks
• Complete all training to ensure proper measures are in place to achieve the correct handling of food and beverage to retain its freshness and quality
• Have systems in place to avoid wastage of product with both food and beverage, following and adjusting par levels where needed in line with business peaks and lows
• Maintain Local Department of Health standards at all times
• Full and complete knowledge and adherence to all product, service and brand training playbooks
• Participate in all initiatives with the Operations and Marketing teams to increase foot traffic, new customers, daily sales, and operational profitability and develop a loyal neighborhood customer base

Requirements

• 1+ years’ experience in a customer service position, preferably in hospitality or coffee 
• 18+ years of age
• Able to lift 25+ lbs, and to stand for long periods of time
• Availability that meets the needs of our cafes 
• Part Time: 15-25 hours per week, 3 days per week and must be able to work 2 peak days (peak days: Friday, Saturday, Sunday) 
• Full Time: 30-40 hours per week, 4-5 days per week and must be able to work 2 peak days (peak days: Friday, Saturday, Sunday)
• Weekend and holiday availability preferred
• You must be authorized to work in the U.S.: upon acceptance of a job offer and completion of the Form I-9 with acceptable documents, Blank Street will provide the federal government with employees’ Form I-9 information to confirm authorization to work in the U.S. (a process known as ”E-Verify”)

Benefits & Perks 

• $17.00-$18.00/hour plus tips
• A comprehensive Barista accreditation and training program
• Tenure based paid time off 
• Commuter benefits 
• Sick time 
• 1.5x pay on select holidays like New Year’s Day, Memorial Day, and Juneteenth
• Complimentary coffee and treats on shift 
• Free Blank Street swag

Staff GenAI Research Scientist - Retrieval

P-1214

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

The Databricks AI Research organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.

Job Description 

As a Staff Research Scientist on the Enterprise Agents team, you will be responsible for keeping up with the latest developments in Agent Context, Information Retrieval, Knowledge Assistants, RAG, Embeddings, and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

The Impact you will have

As a Staff Research Scientist on the AI Research Team at Databricks, You Will: 

• Define and lead independent research agendas on Information Retrieval for reusable Agent components, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches.
• Drive research and technical strategy across enterprise retrieval and search, including workspace search, vector search.
• Drive algorithmic innovations for Retrieval within Large Language Models. 
• Experience with Agent Benchmarks for retrieval, text-embeddings and LLM Data Quality. 

What We Look for

• 5+ years of 
• PhD in Computer Science or related field with strong foundations in Natural Language Processing and Information Retrieval 
• Developing and implementing methods that extend and improve model capabilities, reliability, and safety. 
• Strong preference for candidates with first-author publications at top ML/systems conferences (EMNLP, ICLR, ACL, NeurIPs) focused on optimization or efficiency.

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

About your Team:

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

 What will be your responsibilities within IBKR: 

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

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

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

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

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

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

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

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

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

 What required skill’s you need:

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

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

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

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

· Strong SQL skills for data analysis and transformation

· Experience building and maintaining ETL/ELT pipelines at scale

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

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

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

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

· Exceptional problem-solving and analytical skills

· Excellent collaboration and communication (verbal and written) skills

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

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

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

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

Company Benefits & Perks

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.

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

P-226

As a Specialist Solutions Architect (SSA) - AI/ML Engineering, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.

The impact you will have:

• Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.  
• Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems
• Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains
• Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks
• Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks’ AI offerings

What we look for:

• 5+ years of hands-on industry ML experience in at least one of the following:
• ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.
• AI Engineer: Experience with the latest techniques in LLMs & agentic systems, including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• Passion for collaboration, life-long learning, and driving business value through ML & AI
• [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 3 months of hire
• This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed

About Us:

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

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

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

What It’s Like to Work at YipitData:

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

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

Why Top Talent Chooses YipitData:

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

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

About This Role

We are hiring an Associate Product Manager (APM) to support our Metrics & Feeds initiatives on the Public Investor team. This role sits at the intersection of data, platform infrastructure, and client delivery. You will be responsible for ensuring that YipitData’s data products, specifically metrics tables and client-facing feeds, are accurate, standardized, scalable, and reliably published. Your work will directly enable external dashboards and data delivery that power critical investor workflows, while enabling our data to be more reliably consumed through programmatic and AI-powered surfaces.

This is an ideal role for someone early in their product career who is excited about data systems, platform thinking, and operational rigor, and who wants to drive meaningful impact across a highly cross-functional organization.

In this role, you’ll gain experience

• Owning metrics publishing quality and standards across data teams, ensuring datasets reliably power dashboards and client feeds
• Partnering cross-functionally with Data, Engineering, and Product to define requirements, prioritize improvements, and drive adoption of best practices
• Improving and scaling data platform workflows, from ingestion through transformation to delivery, enabling internal productivity and client value
• Leveraging AI tools to enhance workflows, automate processes, and improve data quality and efficiency

You are likely to succeed if you…

• Have 2–4 years of experience in product management, analytics, data, or a related field.
• Have strong data fluency, including SQL and familiarity with modern data platforms (eg Databricks), pipelines, and PySpark.
• Have experience working cross-functionally with engineering or data teams and/or an understanding of the product development lifecycle (e.g., agile practices)
• Enjoy solving ambiguous problems and building structure where none exists
• Care deeply about data quality, consistency, and scalability
• Are comfortable and have familiarity with AI tools (e.g., LLMs, prompt engineering, workflow automation) as productivity enhancers.
• Have strong analytical, communication, and collaboration skills.
• Are curious, adaptable, and eager to learn.

What We Offer:

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

• We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
• The annual base salary for this position is anticipated to be $120,000 - $130,000.
  • The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.
• The compensation package also includes equity.

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

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

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

Job Applicant Privacy Notice

About Us:

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

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

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

What It’s Like to Work at YipitData:

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

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

Why Top Talent Chooses YipitData:

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

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

About This Role

We are hiring an Associate Product Manager (APM) to support our Metrics & Feeds initiatives on the Public Investor team. This role sits at the intersection of data, platform infrastructure, and client delivery. You will be responsible for ensuring that YipitData’s data products, specifically metrics tables and client-facing feeds, are accurate, standardized, scalable, and reliably published. Your work will directly enable external dashboards and data delivery that power critical investor workflows, while enabling our data to be more reliably consumed through programmatic and AI-powered surfaces.

This is an ideal role for someone early in their product career who is excited about data systems, platform thinking, and operational rigor, and who wants to drive meaningful impact across a highly cross-functional organization.

In this role, you’ll gain experience

• Owning metrics publishing quality and standards across data teams, ensuring datasets reliably power dashboards and client feeds
• Partnering cross-functionally with Data, Engineering, and Product to define requirements, prioritize improvements, and drive adoption of best practices
• Improving and scaling data platform workflows, from ingestion through transformation to delivery, enabling internal productivity and client value
• Leveraging AI tools to enhance workflows, automate processes, and improve data quality and efficiency

You are likely to succeed if you…

• Have 2–4 years of experience in product management, analytics, data, or a related field.
• Have strong data fluency, including SQL and familiarity with modern data platforms (eg Databricks), pipelines, and PySpark.
• Have experience working cross-functionally with engineering or data teams and/or an understanding of the product development lifecycle (e.g., agile practices)
• Enjoy solving ambiguous problems and building structure where none exists
• Care deeply about data quality, consistency, and scalability
• Are comfortable and have familiarity with AI tools (e.g., LLMs, prompt engineering, workflow automation) as productivity enhancers.
• Have strong analytical, communication, and collaboration skills.
• Are curious, adaptable, and eager to learn.

What We Offer:

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

• We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
• The annual base salary for this position is anticipated to be $120,000 - $130,000.
  • The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.
• The compensation package also includes equity.

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

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

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

Job Applicant Privacy Notice

About Us:

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

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

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

What It’s Like to Work at YipitData:

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

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

Why Top Talent Chooses YipitData:

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

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

About This Role

We are hiring an Associate Product Manager (APM) to support our Metrics & Feeds initiatives on the Public Investor team. This role sits at the intersection of data, platform infrastructure, and client delivery. You will be responsible for ensuring that YipitData’s data products, specifically metrics tables and client-facing feeds, are accurate, standardized, scalable, and reliably published. Your work will directly enable external dashboards and data delivery that power critical investor workflows, while enabling our data to be more reliably consumed through programmatic and AI-powered surfaces.

This is an ideal role for someone early in their product career who is excited about data systems, platform thinking, and operational rigor, and who wants to drive meaningful impact across a highly cross-functional organization.

In this role, you’ll gain experience

• Owning metrics publishing quality and standards across data teams, ensuring datasets reliably power dashboards and client feeds
• Partnering cross-functionally with Data, Engineering, and Product to define requirements, prioritize improvements, and drive adoption of best practices
• Improving and scaling data platform workflows, from ingestion through transformation to delivery, enabling internal productivity and client value
• Leveraging AI tools to enhance workflows, automate processes, and improve data quality and efficiency

You are likely to succeed if you…

• Have 2–4 years of experience in product management, analytics, data, or a related field.
• Have strong data fluency, including SQL and familiarity with modern data platforms (eg Databricks), pipelines, and PySpark.
• Have experience working cross-functionally with engineering or data teams and/or an understanding of the product development lifecycle (e.g., agile practices)
• Enjoy solving ambiguous problems and building structure where none exists
• Care deeply about data quality, consistency, and scalability
• Are comfortable and have familiarity with AI tools (e.g., LLMs, prompt engineering, workflow automation) as productivity enhancers.
• Have strong analytical, communication, and collaboration skills.
• Are curious, adaptable, and eager to learn.

What We Offer:

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

• We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
• Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
• The annual base salary for this position is anticipated to be $120,000 - $130,000.
  • The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks.
• The compensation package also includes equity.

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

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

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

Job Applicant Privacy Notice

Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. 

Our research spans:

• Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. 
• Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science
• Imaging foundation models trained across the world's largest microscopy datasets
• Reasoning and agentic systems that connect frontier LLMs with biological foundation models
• Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights
• Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled

Join our Team!

As an ML Engineer, you'll join some of the strongest infrastructure engineers in AI, building the systems that connect everything together. The infrastructure problems you solve directly determine what science becomes possible. 

What You'll Do

• Work with high-dimensional scientific data formats and contribute to backend compatibility, format evaluation, and I/O performance benchmarking at petabyte scale.
• Define and shape the engineering patterns your team and collaborating researchers will build on for years; the abstractions you write today become the foundation others depend on at scale.
• Work at the intersection of AI systems and biological discovery, where the infrastructure problems you solve directly determine what science becomes possible.
• Deploy models to production and manage artifact tracking across models and datasets.
• Design and optimize GPU-native data loading pipelines for large-scale multi-dimensional tensor workloads, including profiling and resolving hardware utilization bottlenecks across multi-backend systems.
• Work on simplification and improvement of codebase abstractions to accelerate research momentum.
• Build and maintain primitives for pre-training infrastructure that ensure the reliability and continuity of large-scale training runs.
• Help cultivate best practices in MLOps, and think about the full ML lifecycle, including data, fine-tuning, deployment, reliability and monitoring.
• Possesses the ability to execute complex modifications to the research pipeline, such as fast data loading and distributed training.
• Handle DevOps responsibilities, focused on making all engineers and researchers more productive. This includes tasks like cluster monitoring, unit testing and integration testing of research codebase, and continuous integration.
• Collaborate with partner researchers and engineers to deploy our technology within external infrastructure.

What You'll Bring

• Hands-on experience with PyTorch, including custom training loops, distributed training, or low-level performance work.
• Familiarity with GPU-native data I/O tools and large-scale tensor formats (e.g. Zarr, HDF5, TensorStore, or similar).
• Experience with distributed computing frameworks such as Apache Spark, Dask, or Ray.
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
• Experience building or working with AI agent frameworks is a plus.
• A track record of building systems that other engineers and researchers depend on. Not just running experiments, but shipping infrastructure that scales.

Compensation

The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $150,000 to $350,000+ annually. Compensation ranges will vary based on job-related skills, level of experience, and knowledge. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

Benefits for the Whole You 

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

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

Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time! 

#LI-Hybrid

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.

Robinhood's Compliance Team is committed to operating with the highest standards of integrity and ethics across the company. The team partners closely with legal, people, and business teams to support compliant and ethical decision-making. You will help reinforce a culture where employees feel supported in raising concerns and navigating complex situations. We are seeking an experienced professional who is passionate about ethics and compliance to help strengthen this work!

As the Ethics & Compliance Lead, you will develop and oversee Robinhood’s Ethics Office and Integrity Helpline. You will guide employees on conflicts of interest, interpret and apply the Code of Conduct, and support investigations into potential policy or regulatory violations. This role partners with legal, compliance, and business teams to manage Ethics Office initiatives, improve policies and processes, and support training and communications related to ethical conduct. You will also monitor risks, track program effectiveness, and provide reporting to leadership and the Board.

This role is based in our Menlo Park, CA; New York, NY; or Washington, DC office(s), with in-person attendance expected 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

• Develop, implement, and oversee the Ethics Office and Integrity Helpline, including triaging reports and conducting investigations into potential violations of policies, laws, and regulations
• Provide guidance on the Code of Conduct and conflict of interest matters, including gifts, entertainment, and outside business activities, acting as a primary decision-maker on complex disclosures
• Partner with legal, compliance, people, and business teams to manage Ethics Office initiatives, policies, and training programs
• Create communications and training content to increase awareness of ethical standards and compliance requirements across the company
• Monitor program effectiveness, assess compliance risks, benchmark the program against industry standards and peer organizations, and deliver reporting and metrics to leadership and the Board

What you bring

• Several years of experience as a Compliance and Ethics Officer; a bachelor’s degree or equivalent experience in a relevant field; financial services experience strongly preferred
• Strong personal character and a demonstrated commitment to integrity internally and externally, with senior executive presence and the ability to handle confidential information with discretion and sound judgment
• Excellent written and verbal communication skills, including the ability to clearly explain complex regulatory topics; ability to collaborate effectively, maintain a strong point of view, and influence stakeholders across multiple levels of the organization
• Experience developing strategies and building alignment to execute them, with the ability to approach problems thoughtfully and identify practical solutions
• Strong organizational skills with attention to detail, and the ability to exercise independent judgment while managing a complex workload autonomously in a changing and time-sensitive 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

About the team + role

The Concierge team is expanding its capabilities to support customers with financial planning, advice, education, and long-term financial organization. This team works closely with Robinhood Asset Management. product, and compliance to deliver accurate, compliant planning experiences. You’ll play a key role in shaping how Robinhood supports customers in organizing their financial lives and understanding their options!

As an individual contributor in a Relationship Manager role, you will support customers throughout their service journey while guiding them through structured financial planning processes. You will support the full Concierge suite of services, including financial planning, tax services, estate planning, and account-related support, helping customers navigate each area through structured guidance and coordination with internal teams and external partners. You will lead conversations to understand customer goals, help organize financial information, and interpret planning outputs in a clear and accessible way. Our clients are largely self-managed or participate in Robinhood Strategies, so this role can focus on the bigger picture while providing ongoing advice and guidance. You will also coordinate across teams and service providers to ensure each interaction is timely, accurate, and aligned with regulatory standards. Your work will strengthen customer engagement, clarity, and confidence in financial decision-making.

This role is based in our Chicago, IL, Lake Mary, FL, Westlake, TX, Denver, CO, New York, NY, and Menlo Park, CA office(s), with in-person attendance expected at least 3 days per week.

Applications for this role will be accepted through ongoing. Please connect with your recruiter for more information about this role’s application window.

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. Local travel may be required to meet with customers and participate in in-person events.

What you’ll do

•  Guide customers through structured financial planning processes by reviewing, organizing financial data, defining goals, and explaining plan outputs in a clear, actionable way
• Support customers across the ever-evolving Concierge suite of services, including financial planning, tax services, estate planning, and account-related needs, coordinating with internal teams and external partners
• Provide education on financial planning topics while ensuring all interactions remain compliant and adhering to the proper policies when providing advice and guidance
• Conduct ongoing plan reviews, identify opportunities to improve customer understanding, and connect customers with appropriate specialists when needed
• Help increase customer engagement with Robinhood products by supporting asset consolidation, encouraging broader product usage, and delivering a consistent, high-quality service experience
• Maintain accurate documentation and follow firm and regulatory standards across all customer interactions
• Bring a human touch and empathy to the experience of clients engaging with our offering.

What you bring

• Clean U5 and current Series 7 and 63, or ability to acquire within 120 days.
• CFP® certification required
• Experience in financial planning, banking, wealth management, or related financial services roles
• Ability to build and explain long-term financial plans that reflect individual goals, tax considerations, and estate planning needs
• Experience supporting high-value and complex client relationships, with a focus on delivering clear, responsive, and organized service
• Demonstrated ability to support asset consolidation, deepen client relationships, and increase engagement with financial products in a compliant, customer-first manner
• Commitment to acting in the customer’s best interest while adhering to regulatory requirements
• Ability to communicate complex financial concepts clearly to a wide range of customers
• The ability to thrive in a dynamic environment, with a constant drive to increase and enhance the value of our offering.
• A willingness and aptitude to leverage AI tools to enhance productivity and drive innovation within your role.

Who You Are:

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

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

Knowledge of the following is an advantage:

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

What You’ll Do:

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

What We’re Looking For: 

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

Bonus Points: 

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

What We Offer:

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

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

About The Role

As .Monks continues to expand our Data & Digital Media capabilities, we are looking for a senior professional to support and grow our services in marketing analytics.

In this role, you will support both ongoing and new engagements by overseeing the delivery of actionable and impactful insights at the intersection of business, site, and paid media data. This position plays a key role in evolving our analytics capabilities while also working closely with client stakeholders to deliver high-quality, scalable solutions.

This is a highly hands-on, client-facing role, with a strong focus on building and maintaining data pipelines, enabling measurement frameworks, and supporting advanced analytics use cases.

Key Responsibilities

• Support analytics delivery across client engagements, ensuring high-quality outputs and actionable insights
• Design, build, and optimize data pipelines and workflows to support reporting, forecasting, and measurement initiatives
• Understand business needs and contribute to the development of cross-channel measurement frameworks
• Partner closely with client stakeholders to translate data into insights and recommendations
• Support test design and analysis to evaluate performance and identify opportunities for improvement
• Contribute to the development of new analytics approaches, tools, and processes
• Identify opportunities to improve efficiency, automation, and data operations
• Collaborate with cross-functional teams (media, strategy, analytics) to deliver integrated solutions

Primary Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., computer science, statistics, applied mathematics, economics, engineering) or equivalent experience
• Strong hands-on experience with SQL and data pipeline development (ETL/ELT)
• Experience working with large datasets in cloud environments (e.g., GCP, Databricks, or similar)
• Working knowledge of Python or similar languages for data processing or automation
• Familiarity with data visualization tools (e.g., Tableau, Datorama, or similar)
• Understanding of digital advertising measurement, reporting, and attribution methodologies
• Strong communication skills, with the ability to translate complex data into clear insights
• Ability to work independently and manage priorities in a fast-paced, ambiguous environment

Nice to Have

• Experience with Databricks, Spark, or distributed data processing frameworks
• Exposure to marketing mix modeling (MMM), forecasting, or advanced measurement techniques
• Experience working in consulting, agency, or embedded client environments
• Familiarity with AI/ML or emerging data applications

Additional Information

• This is an individual contributor role with significant ownership and client exposure
• Success in this role requires a proactive, self-starter mindset and strong stakeholder management skills
• This role supports a West Coast–based team, so candidates should be comfortable collaborating with PST stakeholders and flexing hours when needed (e.g., occasional late afternoon meetings)

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

This role is subject to our Return to Office (RTO) policy. If you reside within a commutable distance of one of our office locations, you will be expected to work from the office a set number of days per week. The specific details, including the number of required office days, will be in accordance with the company’s then-current RTO policy, which is subject to change from time to time.

#LI-HYBRID

#LI-ZZ1

About the team + role

Our group is building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers & sharp problem-solvers. Individuals who are wired to make an impact. Robinhood is 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.

We’re excited to invite talented and motivated Android Engineers to join our award-winning team to help expand Robinhood’s mobile experience for our customers.

The Futures Engineering team builds and operates the end-to-end futures trading platform at Robinhood. They own the systems that allow customers to trade futures products safely, reliably, and at scale—from market connectivity and order execution to risk controls, margining, and real-time customer experience. This is a mission-critical, highly regulated engineering space where correctness, performance, and trust matter as much as speed.

As an Android Engineer on the Futures Engineering team, you’ll build customer-facing mobile experiences that enable safe, intuitive futures trading on top of real-time, high-stakes financial systems. You’ll collaborate closely with backend, product, design, and risk partners to deliver performant, reliable features while helping translate complex trading concepts into simple, trusted Android workflows.

This team 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 smooth, stable, and elegant products with Kotlin and the newest Android APIs
• Own features from inception to design, implementation, and launch
• Work cross-functionally with Product Designers, Product Managers, Backend Developers, and Data team
• Work with Kotlin, Android SDK & Jetpack Compose, MVVM, Coroutines & Flow (preferred) OR RxJava, and Retrofit & Room

What you bring

• 2+ years of professional Android development experience building consumer Android applications at scale, preferably in Kotlin and Compose
• Attention to detail, passion for writing clean, readable and maintainable code
• Proficiency in Kotlin or Java, and Jetpack
• Desire to improve Robinhood's app and codebase to ensure outstanding quality for our all users
• Strong product sense and ability to collaborate with Product Managers and Designers
• Excellent communication skills and passion for solving technical challenges
• Bachelor’s degree in Computer Science or a related field preferred; equivalent training or work experience also acceptable

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.

About Blank Street:

At Blank Street, we’re on a mission to become the defining food and beverage brand of our generation. From the very beginning, we’ve set out to add a spark to ordinary experiences through elevated products, attention-to-detail, and a commitment to making every moment memorable. We’re motivated by the millions of customers we serve across cities, and know that our potential is unlimited. It all starts with our people and their commitment to make magic happen each and every day. Like the sound of this? Keep reading. 

Add a Spark to the Ordinary…

Baristas at Blank Street are customer-centric and believe in serving a carefully curated menu with passion and precision making every effort to give customers exactly what they need, every day. You will excel in fast-paced environments, enjoy collaborating with your team, and create quality products. Your role will be hospitality driven, taking pride in giving exceptional service leveling up the ordinary customer experience. You’re able to work independently while also thriving in a team environment, helping to build a strong sense of community for both customers and teammates.

Who We're Looking For

• A friendly and enthusiastic team player with a passion for excellent customer service; you're always ready to make your customers' day
• A reliable employee who is able to effectively manage time and priorities, including during busy rush periods where a sense of urgency is necessary
• Passionate about creating delicious coffee, matcha, and other cafe beverages
• A strong independent problem solver with proven multi-tasking and communication skills
• Someone who is curious, adaptable and always willing to learn
• Comfortable working in a team or independently
• Comfortable with cash-handling and maintaining store safety

What You'll Own

• Delight our customers with consistent, welcoming and engaging customer service, taking the opportunity to turn every customer into a regular
• Work within a world-class coffee program using the best coffee equipment and product in the industry to prepare the tastiest drinks
• Complete all training to ensure proper measures are in place to achieve the correct handling of food and beverage to retain its freshness and quality
• Have systems in place to avoid wastage of product with both food and beverage, following and adjusting par levels where needed in line with business peaks and lows
• Maintain Local Department of Health standards at all times
• Full and complete knowledge and adherence to all product, service and brand training playbooks
• Participate in all initiatives with the Operations and Marketing teams to increase foot traffic, new customers, daily sales, and operational profitability and develop a loyal neighborhood customer base

Requirements

• 1+ years’ experience in a customer service position, preferably in hospitality or coffee 
• 18+ years of age
• Able to lift 25+ lbs, and to stand for long periods of time
• Availability that meets the needs of our cafes 
• Part Time: 15-25 hours per week, 3 days per week and must be able to work 2 peak days (peak days: Friday, Saturday, Sunday) 
• Full Time: 30-40 hours per week, 4-5 days per week and must be able to work 2 peak days (peak days: Friday, Saturday, Sunday)
• Weekend and holiday availability preferred
• You must be authorized to work in the U.S.: upon acceptance of a job offer and completion of the Form I-9 with acceptable documents, Blank Street will provide the federal government with employees’ Form I-9 information to confirm authorization to work in the U.S. (a process known as ”E-Verify”)

Benefits & Perks 

• $17.00 - $18.00/hour plus tips
• A comprehensive Barista accreditation and training program
• Tenure based paid time off 
• Commuter benefits 
• Sick time 
• 1.5x pay on select holidays like New Year’s Day, Memorial Day, and Juneteenth
• Complimentary coffee and treats on shift 
• Free Blank Street swag

About Blank Street:

At Blank Street, we’re on a mission to become the defining food and beverage brand of our generation. From the very beginning, we’ve set out to add a spark to ordinary experiences through elevated products, attention-to-detail, and a commitment to making every moment memorable. We’re motivated by the millions of customers we serve across cities, and know that our potential is unlimited. It all starts with our people and their commitment to make magic happen each and every day. Like the sound of this? Keep reading. 

Add a Spark to the Ordinary…

Baristas at Blank Street are customer-centric and believe in serving a carefully curated menu with passion and precision making every effort to give customers exactly what they need, every day. You will excel in fast-paced environments, enjoy collaborating with your team, and create quality products. Your role will be hospitality driven, taking pride in giving exceptional service leveling up the ordinary customer experience. You’re able to work independently while also thriving in a team environment, helping to build a strong sense of community for both customers and teammates.

Who We're Looking For

• A friendly and enthusiastic team player with a passion for excellent customer service; you're always ready to make your customers' day
• A reliable employee who is able to effectively manage time and priorities, including during busy rush periods where a sense of urgency is necessary
• Passionate about creating delicious coffee, matcha, and other cafe beverages
• A strong independent problem solver with proven multi-tasking and communication skills
• Someone who is curious, adaptable and always willing to learn
• Comfortable working in a team or independently
• Comfortable with cash-handling and maintaining store safety
  
  

What You'll Own

• Delight our customers with consistent, welcoming and engaging customer service, taking the opportunity to turn every customer into a regular
• Work within a world-class coffee program using the best coffee equipment and product in the industry to prepare the tastiest drinks
• Complete all training to ensure proper measures are in place to achieve the correct handling of food and beverage to retain its freshness and quality
• Have systems in place to avoid wastage of product with both food and beverage, following and adjusting par levels where needed in line with business peaks and lows
• Maintain Local Department of Health standards at all times
• Full and complete knowledge and adherence to all product, service and brand training playbooks
• Participate in all initiatives with the Operations and Marketing teams to increase foot traffic, new customers, daily sales, and operational profitability and develop a loyal neighborhood customer base

Requirements

• 1+ years’ experience in a customer service position, preferably in hospitality or coffee 
• 18+ years of age
• Able to lift 25+ lbs, and to stand for long periods of time
• Availability that meets the needs of our cafes 
• Part Time: 15-25 hours per week, 3 days per week and must be able to work 2 peak days (peak days: Friday, Saturday, Sunday) 
• Full Time: 30-40 hours per week, 4-5 days per week and must be able to work 2 peak days (peak days: Friday, Saturday, Sunday)
• Weekend and holiday availability preferred
• You must be authorized to work in the U.S.: upon acceptance of a job offer and completion of the Form I-9 with acceptable documents, Blank Street will provide the federal government with employees’ Form I-9 information to confirm authorization to work in the U.S. (a process known as ”E-Verify”)

Benefits & Perks 

• $17.00-$18.00/hour plus tips
• A comprehensive Barista accreditation and training program
• Tenure based paid time off 
• Commuter benefits 
• Sick time 
• 1.5x pay on select holidays like New Year’s Day, Memorial Day, and Juneteenth
• Complimentary coffee and treats on shift 
• Free Blank Street swag

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

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

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

Position Expectations

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

Qualifications

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

Nice to have

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

About MongoDB

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

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

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

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

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

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

Req ID: 1273396626

The opportunity
Unity Vector builds an offline ML platform that powers insight, experimentation, attribution, and AI-driven decision-making across the company.

Our systems operate at scale across batch and streaming data, supporting analytics, product intelligence, machine learning pipelines, and business operations. As data volume and complexity grow, our platform also supports large-scale model training, feature generation, and experimentation workflows that power production ML systems.

To support this growth, we need strong technical ownership to ensure our ML pipelines remain reliable, scalable, and architecturally sound.

We are seeking a staff ML engineer to design and evolve the large-scale offline platform. This role focuses on building reliable infrastructure for generating training datasets, orchestrating ML workflows, and enabling efficient, distributed model training at scale. You will work closely with ML engineers and platform teams to ensure our pipelines can efficiently handle growing data volumes and increasingly complex training workloads.

You will play a key role in shaping how model datasets are prepared as well as model training, validated, and delivered to distributed training systems, while ensuring the reliability, scalability, and performance of our offline ML platform.

What you'll be doing

• Design and operate large-scale data pipelines that generate training datasets used for machine learning training and experimentation
• Develop infrastructure that supports distributed training workflows using technologies such as Pytorch, Ray Data, and Ray Train, etc.
• Integrate ML pipelines with workflow orchestration systems (e.g., Flyte, Airflow, or similar) to enable reliable multi-stage training workflows
• Improve reproducibility and observability of ML pipelines through dataset validation, monitoring, and automated testing
• Optimize performance and resource utilization across distributed compute systems used for data processing and model training
• Partner closely with ML engineers to enable efficient large-scale experimentation and model iteration
• Lead architectural improvements to ensure our offline ML pipelines remain scalable, reliable, and cost-efficient

What we're looking for

• Strong experience building large-scale ML pipelines
• Experience working with distributed computing frameworks such as Ray, Spark, Flink and familiarity in the Ray ecosystem (Ray Data, Ray Train) for distributed data processing and model training
• Experience building infrastructure for training data generation, dataset preparation, or ML feature pipelines
• Deep experience designing and operating production-grade data pipelines
• Strong programming skills in Python and experience working with large-scale distributed workloads
• Experience with modern data infrastructure (data lakes, warehouses, orchestration systems, streaming platforms)
• Strong systems thinking, with the ability to reason about performance, scalability, reliability, and cost tradeoffs in distributed systems
• Proven ability to lead technical direction and influence architectural decisions across teams without formal authority

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-ED1

FEQ227R170

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

The impact you will have:

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

What we look for:

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

FEQ227R295

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

Mission

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

The impact you will have:

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

What we look for:

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

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

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

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

About the Role

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

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

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

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

Responsibilities:

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

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

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

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

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

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

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

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

Basic Qualifications:

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

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

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

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

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

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

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

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

• Familiarity with the data lakehouse paradigm and medallion architecture

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

#LI-Remote

REQ-018968

About the Role:

We are part of a New York-based technology organization with a remote-friendly workplace that includes engineers around the world. We value transparency and openness, learning, community, and continuous improvement. Check out the Times Open blog, which is written by engineers and other technical team members, and follow @nytdevs on Twitter to see what we're up to.

Responsibilities:

• Design, model, and implement complex ELT/ETL pipelines for the cleansed and curated data layers in the medallion architecture, taking full ownership of the data product's structure, partitioning, documentation, and performance characteristics.

• Develop advanced data transformations using dbt (data build tool) for relational data modeling and PySpark for large-scale data processing within the Lakehouse, ensuring outputs meet strict Service Level Agreements and quality standards.

• Collaborate across teams to define requirements and translate them into robust and scalable data models suitable for analytic consumption.

• Manage the physical data storage across both GCP and AWS, selecting optimal file formats and designing efficient partitioning and clustering strategies.

• Administer and tune Spark compute resources (e.g., Dataproc, EMR, or managed services) to optimize job execution time and cost.

• Own core components of our centralized analytics environment, specifically focused on Hex, integrations, and the methods of data exposure and access controls; and support data activation strategies, ensuring seamless data consumption by analytic tools.

• Optimize user queries and access patterns to maintain platform performance and cost efficiency.

• Implement centralized data quality checks and observability mechanisms within the data pipeline to proactively identify and resolve data issues.

• Contribute to the implementation of metadata management, data lineage, and role-based access control (RBAC) initiatives across the Lakehouse environment.

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

Basic Qualifications:

• 2+ years of hands-on experience in a Data Engineering, Data Warehousing, Analytics Engineering or equivalent role

• Proficiency in SQL and experience with complex, production-level data modeling (dimensional modeling, Kimball, OBT, or Data Vault)

• Demonstrated experience designing, developing, and deploying end-to-end data products through the full Software Development Lifecycle

• Experience with a Cloud Data Warehouse, like BigQuery

• Proficiency in Python for scripting and data manipulation, including knowledge of PySpark or other Spark APIs

• Familiarity with cloud services and data storage components in at least one major cloud provider (GCP or AWS)

• Experience with workflow orchestration tools (e.g., Airflow, Cloud Composer, or Prefect) and version control systems (Git)

Preferred Qualifications:

• Experience operating in a dual-cloud environment (GCP/AWS)

• Experience with Infrastructure-as-Code (IaC) tools like Terraform

• Experience with advanced Lakehouse file formats like Iceberg or Delta Lake

• Familiarity with experimentation or A/B testing platforms and the data required to support them

• Experience in data product quality standards through integration advanced testing, quality checks, and monitoring into the CI/CD pipeline

REQ-019489

#LI-hybrid

About the Role:

Machine Learning (ML) at the New York Times enhances the experience of our 150 million digital readers from around the globe and grows our subscriber base through content recommendations and personalizations.

The Machine Learning & AI team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute. Our partners are Data Scientists that build and deploy their ML models on the ML platform. On the other end, our partners are engineering systems that call these hosted models at scale with low-latency and Service Level Agreements guaranteed by our platform.

As an MLOps Engineer you will partner with product, data science and ML platform engineers to build and maintain the infrastructure that powers the machine learning lifecycle. You will automate and refine the training, deployment, monitoring, and management of our ML models.

This role reports to the Senior Engineering Manager of Data Management Infrastructure.

Responsibilities:

• Build and Automate ML Pipelines: by owning robust CI/CD pipelines for automated model training, validation, deployment, and retraining.

• Productionalize Models: Build the process for packaging, containerizing, and deploying ML models as scalable, low-latency, and highly-available services.

• Monitoring and Operations: Implement and manage comprehensive monitoring for production models, tracking system health, data drift, and model performance degradation.

• Tooling and Infrastructure: Manage and evolve our MLOps toolchain, including model registries, feature stores, experiment tracking systems, and model serving platforms.

• Collaboration and Support: Partner with data scientists to understand model requirements and optimize them for production. Support software engineers in integrating with ML services.

• Best Practices and Governance: Champion and enforce MLOps best practices for reproducibility, versioning (data, code, model), testing, and governance.

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

Basic Qualifications:

• 2+ years of software engineering or DevOps experience with a focus on MLOps, automation, and infrastructure

• 2+ years of experience programming in Python or Go

• Experience building and managing CI/CD pipelines (e.g., Github Actions, Jenkins, GitLab CI)

• Hands-on experience with containerization and orchestration (e.g., Docker, Kubernetes)

• Cloud platform experience (AWS, GCP) and familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation)

Preferred Qualifications:

• Experience with MLOps tools (e.g., MLflow, Kubeflow)

• Experience with the machine learning model lifecycle, from experimentation to production

• Experience with data processing frameworks (e.g., Spark, Dask, or Ray)

• Experience with low-latency no-sql datastores (BigTable, Dynamo, etc)

• Familiarity with monitoring and observability stacks (e.g., Prometheus, Grafana, Datadog, or ELK)

• Knowledge of data engineering pipelines and orchestration tools (e.g., Airflow, Prefect)

REQ-019522

#LI-hybrid

AI Software Engineer

The Team + The Role

Our Emerging Team is focused on building AI Products for our product experience (PX) platform. We build from the ground up to explore, prototype, and ship AI-native experiences that change how software teams understand and serve their users. This is not an AI layer added to existing product; it is a deliberate bet on what product intelligence looks like next. The team operates with high autonomy, moves quickly, and builds products without clear precedents.

As an AI Software Engineer, you will build applied AI systems that move from prototype to production. You will bring deep technical capability, strong product judgment, and clear communication to decisions across prompting, fine-tuning, RAG, MLOps, and full-stack product delivery. You will partner closely with product and design to frame the right problems and ship AI-native experiences that hold up for real users.

This role is based in our New York office.

What this looks like day-to-day

• Applied AI systems: Design and build AI-native product experiences, including RAG pipelines, agentic workflows, and LLM-powered features. You will take work from prototype through production and ensure systems are reliable enough for real users.
• Technical decision-making: Make principled decisions about when to prompt, when to fine-tune, and when to use a different technical approach. You will explain those tradeoffs clearly to engineers and non-engineers.
• Model evaluation: Instrument and evaluate model outputs rigorously by defining evaluation frameworks and identifying failure modes early. You will catch hallucinations, measure quality, and implement guardrails that hold up under real-world load.
• MLOps ownership: Own model deployment, monitoring, latency optimization, cost management, and reliability at scale. You will ensure AI systems operate effectively in live production environments.
• Full-stack product delivery: Contribute across the stack when needed because the team ships products, not just models. You will help get complete user-facing AI experiences into customers’ hands.
• Product partnership: Partner closely with product and design to frame problems before implementation begins. You will push back when the framing is wrong and help the team focus on what should be built, not only how to build it.
• Research and tooling awareness: Stay current on the research and tooling landscape, including transformers, diffusion architectures, orchestration frameworks, and emerging agent patterns. You will bring relevant advances back to the team and apply them thoughtfully.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great AI Software Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• Deep hands-on experience building and shipping LLM-powered systems, including retrieval-augmented generation, tool use, and agent orchestration frameworks.
• Demonstrated ability to apply established AI engineering patterns to well-scoped problems and ship them reliably in production.
• End-to-end ownership of features from design through deployment and monitoring within a defined problem space.
• Strong command of model evaluation, including designing evaluation suites, reasoning about overfitting and bias-variance tradeoffs, and systematically detecting and mitigating hallucinations.
• Solid understanding of modern model architectures, including transformers and diffusion models, with the ability to make informed decisions about when and how to apply them.
• Production MLOps experience, including model deployment, monitoring pipelines, and latency, cost, and reliability optimization in a live environment.
• Strong full-stack fundamentals and comfort working across backend and frontend systems to ship complete user-facing AI products.
• Exceptional communication skills, with the ability to explain complex technical decisions clearly to engineers, product managers, and executives.
• Demonstrated product thinking, including the judgment to ask whether something should be built before deciding how to build it.

Nice-to-haves

• Experience fine-tuning foundation models and a clear point of view on when fine-tuning outperforms prompting approaches.
• Familiarity with AI safety considerations, guardrail frameworks, and responsible deployment practices.
• Experience building agentic or multi-step reasoning systems using tools such as LangChain, LlamaIndex, or custom orchestration frameworks.
• Background in a SaaS or product analytics environment where user behavior data informs AI design.
• Prior experience contributing to or launching a net-new team or product area.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Pendo is a hybrid culture. In-office 3 days per week unless designated remote.

Compensation: The expected salary range for this role to be performed in New York, NY is $178,000 - $195,000.

Benefits: Highly competitive, employer-heavy coverage including $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Sr. AI Software Engineer

The Team + The Role

Our Emerging Team is focused on building AI Products for our product experience (PX) platform. We build from the ground up to explore, prototype, and ship AI-native experiences that change how software teams understand and serve their users. This is not an AI layer added to existing product; it is a deliberate bet on what product intelligence looks like next. The team operates with high autonomy, moves quickly, and builds products without clear precedents.

As a Sr. AI Software Engineer, you will sit at the intersection of deep technical capability and strong product judgment. You will design and ship applied AI systems, including RAG pipelines, agentic workflows, and LLM-powered features, from prototype through production. You will make principled technical decisions, evaluate model behavior rigorously, and communicate tradeoffs clearly to engineers and non-engineers alike.

This role is based in our New York office.

What this looks like day-to-day

• Applied AI systems: Design and build AI systems including RAG pipelines, agentic workflows, and LLM-powered features. You will take work from prototype through production and ensure it can hold up in real customer environments.
• Technical decision-making: Make principled decisions on when to prompt, when to fine-tune, and when to use a different tool entirely. You will explain these tradeoffs clearly so the team can move quickly without sacrificing quality.
• Model evaluation: Instrument and evaluate model outputs rigorously by defining evaluation frameworks and catching hallucinations early. You will implement guardrails that can withstand real-world load and production use.
• MLOps ownership: Own model deployment, monitoring, latency optimization, cost management, and reliability at scale. You will help ensure AI systems are observable, efficient, and dependable in production.
• Full-stack product shipping: Contribute across the stack when needed because this team ships products, not just models. You will work across backend and frontend to get AI-powered experiences in front of users.
• Product partnership: Partner closely with product and design to frame problems well before writing code. You will push back when the framing is wrong and help the team focus on what should be built, not just what can be built.
• Research and tooling awareness: Stay current on the research and tooling landscape, including transformers, diffusion architectures, orchestration frameworks, and emerging agent patterns. You will bring relevant advances back to the team and apply them thoughtfully.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Sr. AI Software Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• Deep hands-on experience building and shipping LLM-powered systems, including retrieval-augmented generation, tool use, and agent orchestration frameworks.
• Strong technical depth in system design, including choosing the right architecture, identifying failure modes early, and making tradeoffs that hold up across the product lifecycle.
• Experience owning technical quality beyond your own features, including setting standards, catching problems in review, and improving shared infrastructure and tooling.
• Strong command of model evaluation, including designing evaluation suites, reasoning about overfitting and bias-variance tradeoffs, and systematically detecting and mitigating hallucinations.
• Solid understanding of modern model architectures, including transformers and diffusion models, with the judgment to decide when and how to apply them.
• Production MLOps experience, including model deployment, monitoring pipelines, and latency, cost, and reliability optimization in a live environment.
• Strong full-stack fundamentals with the ability to work across backend and frontend systems to ship complete, user-facing AI products.
• Exceptional communication skills with the ability to explain complex technical decisions clearly to engineers, product managers, and executives.
• Demonstrated product thinking, including the ability to ask whether something should be built before deciding how to build it.

Nice-to-haves

• Experience fine-tuning foundation models and a clear point of view on when fine-tuning outperforms prompting approaches.
• Familiarity with AI safety considerations, guardrail frameworks, and responsible deployment practices.
• Experience building agentic or multi-step reasoning systems using tools such as LangChain, LlamaIndex, or custom orchestration frameworks.
• Background in a SaaS or product analytics environment where user behavior data informs AI design.
• Prior experience contributing to or launching a net-new team or product area.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Pendo is a hybrid culture. In-office 3 days per week unless designated remote.

Compensation: The expected salary range for this role to be performed in New York, NY is $209,000 - $235,000.

Benefits: Highly competitive, employer-heavy coverage, including $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Staff AI Software Engineer

The Team + The Role

Our Emerging Team is focused on building AI Products for our product experience (PX) platform. We build from the ground up to explore, prototype, and ship AI-native experiences that change how software teams understand and serve their users. This is not an AI layer added to existing product; it is a deliberate bet on what product intelligence looks like next. The team operates with high autonomy, moves quickly, and builds products without clear precedents.

As a Staff AI Software Engineer, you will sit at the intersection of deep technical capability and strong product judgment. You will design and build production-grade AI systems, including RAG pipelines, agentic workflows, and LLM-powered features, while making clear tradeoffs across prompting, fine-tuning, architecture, evaluation, and deployment. You will also partner closely with product, design, and engineering stakeholders to frame the right problems and communicate technical decisions clearly.

This role is based in our New York office.

What this looks like day-to-day

• Applied AI systems: Design and build AI-native systems, including RAG pipelines, agentic workflows, and LLM-powered product features. You will take ideas from prototype through production and ensure they can support real users.
• Model strategy: Make principled decisions about when to prompt, when to fine-tune, and when to use a different technical approach entirely. You will explain those tradeoffs clearly to engineers and non-engineers.
• Evaluation and guardrails: Instrument and evaluate model outputs rigorously by defining evaluation frameworks and identifying hallucinations early. You will implement guardrails that hold up under real-world usage and load.
• MLOps ownership: Own model deployment, monitoring, latency optimization, cost management, and reliability at scale. You will ensure AI systems are observable, performant, and production-ready.
• Full-stack delivery: Contribute across the stack when needed to get complete AI products in front of users. This team ships products, not just models, and you will help close the gap between technical capability and user experience.
• Product partnership: Partner closely with product and design to frame problems well before implementation begins. You will push back when the framing is wrong and help the team stay focused on what is worth building.
• Technical leadership: Stay current on the research and tooling landscape, including transformers, diffusion architectures, orchestration frameworks, and emerging agent patterns. You will bring relevant advances back to the team and help raise the technical bar.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Staff AI Software Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• Deep hands-on experience building and shipping LLM-powered systems, including retrieval-augmented generation, tool use, and agent orchestration frameworks.
• Demonstrated ability to set technical direction for AI systems across teams, establish architectural patterns, make foundational model strategy decisions, and raise the bar for AI engineering quality.
• Experience owning outcomes across team boundaries, including identifying capability gaps, driving alignment across engineering and product, and influencing how a broader organization approaches AI.
• Strong command of model evaluation, including designing evaluation suites, reasoning about overfitting and bias-variance tradeoffs, and systematically detecting and mitigating hallucinations.
• Solid understanding of modern model architectures, including transformers and diffusion models, with the ability to make informed decisions about when and how to apply them.
• Production MLOps experience, including model deployment, monitoring pipelines, and latency, cost, and reliability optimization in live environments.
• Strong full-stack fundamentals and comfort working across backend and frontend systems to ship complete, user-facing AI products.
• Exceptional communication skills, with the ability to explain complex technical decisions clearly to engineers, product managers, and executives.
• Demonstrated product judgment and the ability to evaluate whether something should be built before determining how to build it.

Nice-to-haves

• Experience fine-tuning foundation models and a clear point of view on when fine-tuning outperforms prompting-based approaches.
• Familiarity with AI safety considerations, guardrail frameworks, and responsible deployment practices.
• Experience building agentic or multi-step reasoning systems using tools such as LangChain, LlamaIndex, or custom orchestration frameworks.
• Background in a SaaS or product analytics environment where user behavior data informs AI product design.
• Prior experience contributing to or launching a net-new team or product area.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Pendo is a hybrid culture. In-office 3 days per week unless designated remote.

Compensation: The expected salary range for this role to be performed in New York, NY is $250,000 - $280,000.

Benefits: Highly competitive, employer-heavy coverage, including $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Who we are

About Stripe

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

About the team

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

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

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

What you’ll do

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

Responsibilities

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

Who you are

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

Minimum requirements

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

Preferred qualifications

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

Why Stripe Identity

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

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.

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 Strategies and Cortex team is focused on building personalized, automated investing experiences that help customers grow their wealth over time. Strategies enables investing on autopilot through advisory services, while Cortex powers intelligent insights across stocks, crypto, and portfolio experiences. The team delivers regulated financial guidance through scalable systems, including tax optimization, portfolio insights, and in-app dashboards that help customers make informed decisions!

As an Engineering Manager, you will lead a team responsible for building and scaling these customer-facing investing products. You will work closely with product and design partners to define requirements, deliver new features, and improve core systems that support personalized financial advice. This role combines hands-on technical leadership with team development, enabling you to guide architecture decisions, support engineers in their growth, and deliver new product capabilities from early concept through launch. You will play a key role in shaping both product direction and engineering practices across a rapidly evolving space!

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 support a team of engineers by providing technical direction, regular feedback, and clear growth plans
 ● Work with product and design partners to define requirements, scope milestones, and deliver features that support personalized investing experiences
 ● Guide the design and development of backend or full-stack systems that power advisory tools, tax workflows, and portfolio insights
 ● Establish engineering processes that support reliable delivery, maintainable code, and system scalability as products expand to new markets
 ● Review architecture decisions and help the team resolve complex technical challenges

What you bring
 ● 1–3 years of experience managing engineers, including supporting performance and career development
 ● Experience building and launching early-stage consumer products or contributing to product-focused platform systems
 ● Strong backend or full-stack technical background, with the ability to review system design and guide architectural decisions
 ● Experience working on teams delivering customer-facing software at scale, ideally in organizations with 50+ engineers
 ● Ability to translate business goals into clear technical plans with measurable milestones

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 Lineate

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

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

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

Our expertise falls into three main categories:

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

Responsibilities

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

Requirements (Must-have)

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

Nice-to-have

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

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

Semantic search, vector search, or RAG-based systems

Search relevance tuning and optimization

• Machine Learning experience, especially in:

Recommendation systems

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

Practical ML application in production systems

We offer:

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

About Lineate

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

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

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

Our expertise falls into three main categories:

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

Responsibilities

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

Requirements (Must-have)

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

Nice-to-have

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

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

Semantic search, vector search, or RAG-based systems

Search relevance tuning and optimization

• Machine Learning experience, especially in:

Recommendation systems

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

Practical ML application in production systems

We offer:

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

The Team + The Role

The Enterprise Sales team at Pendo partners with some of the world’s largest organizations to improve and transform their digital experiences. The team operates in a fast-paced, collaborative environment and works closely with Solutions Engineering, Customer Success, Legal, Product, and executive leadership to drive meaningful business outcomes. Enterprise Sales values clear execution, strong partnership, and disciplined sales practices to win complex enterprise opportunities.

As an Account Director, Enterprise Sales, you will lead complex enterprise deals and own multi-stakeholder sales cycles with organizations of 1,500+ employees. You will build executive relationships, develop multi-year account strategies, generate high-quality pipeline, and apply MEDDPICC and Force Management principles to drive forecast accuracy and long-term customer value.

This is a remote role based in the Northeast.

What this looks like day-to-day

• Enterprise deal leadership: Act as the internal lead for complex enterprise opportunities, coordinating cross-functional partners across Solutions Engineering, Customer Success, Legal, Product, and executive leadership. You keep the team aligned, the deal strategy clear, and the process moving with urgency and discipline.
• Executive relationship building: Build and maintain strong relationships across the C-suite, IT, and business leadership within organizations of 1,500+ employees. You understand stakeholder priorities and connect Pendo’s value to meaningful business outcomes.
• Value-based selling: Lead sales cycles focused on solving meaningful business problems and supporting digital transformation initiatives. You shape the value narrative, guide customers through complex decisions, and position Pendo as a strategic partner.
• Sales methodology and forecasting: Apply MEDDPICC and Force Management principles to manage complex, multi-stakeholder sales cycles. You maintain strong deal hygiene, identify risk early, and support accurate forecasting.
• Account strategy and expansion: Develop and execute multi-year account strategies that expand Pendo’s presence within enterprise customers. You identify growth opportunities, prioritize high-impact activities, and build plans that deliver long-term customer value.
• Pipeline generation: Consistently generate and maintain a high-quality pipeline through proactive prospecting and account development. You take ownership of pipeline health and create opportunities through disciplined, strategic outreach.
• AI-enabled productivity: Use AI tools and insights to improve sales preparation, productivity, and customer engagement. You look for practical ways to work faster, communicate more effectively, and make better decisions in a fast-moving environment.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Account Directors don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• Proven track record of success in enterprise software sales, including SaaS or application software, selling into organizations with 1,500+ employees.
• Experience using MEDDPICC and/or Force Management to manage complex, multi-stakeholder sales cycles.
• Demonstrated ability to generate pipeline independently through strategic prospecting and account development.
• Experience leading cross-functional deal teams across Solutions Engineering, Legal, Customer Success, and executive stakeholders to close enterprise agreements.
• Comfort using AI tools to improve sales efficiency, preparation, and customer engagement.

Nice-to-haves

• Experience working in a startup or high-growth environment where you navigated ambiguity and built new processes or approaches.
• Success selling emerging or innovative technologies that required educating the market and shaping the value narrative.
• A track record of perseverance and resilience in professional or personal pursuits.
• Demonstrated ability to mentor peers and contribute to the overall development of the sales organization.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Pendo is a hybrid culture. In-office 3 days per week unless designated remote.

Compensation: The expected On-Target Earnings (OTE) range for this role is $280K-$320K, with a 50/50 base-to-variable compensation split.

Benefits: Highly competitive, employer-heavy coverage including $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Expression of Interest

We know that for the most talented engineers, the right opportunity is about more than just a job title, it’s about the right challenge at the right time. Even if our current openings don't perfectly fit your timing and interests today, we still want to hear from you. We view this as a priority pathway to connect with curious, driven MLEs whose unique expertise can help us architect the next generation of planet-scale ML systems. 

At Moloco, our mission is to empower the global digital economy by turning massive first-party data into measurable business outcomes. Whether it’s optimizing real-time bidding for Moloco Ads or building AI-native stacks for Streaming and Commerce, we’re looking for engineers to help us lead the shift toward a more performance-driven, AI-powered internet.

If you’re excited to scale and innovate in a fast-moving environment, share your profile and we will reach out the moment we see a potential match for your experiences and future goals.

About the Role

As a Machine Learning Engineer at Moloco, you will design, train, and deploy the large‑scale models that power our programmatic advertising and commerce media products. You will work at the heart of our real-time bidding and pricing systems, helping shape an end-to-end ML ecosystem that processes billions of daily events. Your work will directly improve marketplace performance for global advertisers and publishers by optimizing for relevance, ROI, and user experience at a scale few companies can match.

The Opportunity

• Architect and iterate on high-performance models that improve ad relevance, click-through rates, and conversion performance.
• Productionize and maintain scalable ML pipelines - from data ingestion to online inference - on top of planet-scale infrastructure.
• Extract insights from massive datasets of user behavior and auction signals to define new features and refine modeling strategies.
• Translate business goals (revenue, ROI, engagement) into concrete modeling challenges and success metrics in collaboration with Product and Data Science.
• Validate innovation through rigorous experimentation, including A/B tests, offline evaluations, and counterfactual analyses.
• Balance marketplace health by implementing models that harmonize advertiser value with a high-quality user experience.
• Enhance system reliability by refining feature stores, monitoring data quality, and establishing robust debugging practices.
• Drive platform evolution, contributing to ML tools and guidelines that increase experimentation velocity and deployment speed.
• Optimize for performance, partnering with Infra teams to reduce latency and improve throughput for low-cost, high-scale decisioning.
• Elevate technical excellence by sharing best practices in modeling and production ML with the broader engineering team.

Expertise We Value:

MLEs at Moloco are hands-on builders of some of the world’s highest-scale ML workloads. They bridge technical innovation with global revenue outcomes, owning the critical systems that define our next generation of machine learning and optimization platforms.

While every journey is unique, we find that the most successful MLEs at Moloco bring a deep technical foundation in the following areas:

• Production ML at Scale: 5-12+ years of experience delivering ML solutions in high-stakes production environments (e.g., Ads, Recommenders, Search, or Marketplaces), with a track record of scaling models for massive throughput and low-latency requirements.
• Algorithmic Mastery: A strong foundation in ML and statistics applied to real-world business challenges, with expertise in areas such as ranking, calibration, exploration-exploitation, causal inference, or multi‑objective optimization.
• Full-Lifecycle Engineering: Deep understanding of the end-to-end ML lifecycle, including data pipelining, feature engineering, model architecture, inference optimization, and the deployment of models into online systems.
• Technical Versatility: Proficiency across a modern ML toolkit (Python, SQL, and frameworks like TensorFlow or PyTorch) and experience leveraging data processing stacks like Spark, Beam, or Flink to deliver results at scale.
• Operational Stewardship: Experience ensuring the long-term health of ML systems in live environments—monitoring performance, diagnosing drift, and iterating based on real-world feedback to maintain measurable impact.
• Technical Mentorship: A passion for advancing the team’s collective bar by sharing best practices for large-scale ML systems and guiding the technical direction of complex machine learning initiatives.

Our Tech Stack:

• Languages: Python, Go, C++
• ML Frameworks: TensorFlow, PyTorch, JAX
• Infrastructure: GCP, AWS, Kubernetes, Spark, BigQuery, BigTable

How You Work: 

• Your ethos is ownership
• You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs.
• You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value.
• You demonstrate strong judgment under uncertainty. 
• You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete.
• You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges.
• You lead through clarity and active listening. 
• You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions. 
• You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made.
• You collaborate early, instead of solving in isolation.
• You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope. 
• You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships.
• You fall in love with the problem, not the solution
• You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem. 
• When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the technical bar for the entire organization.
• You prioritize customer impact and take action to make it real.
• You prioritize effective solutions that drive business impact over technical elegance, spotting opportunities that others might overlook. 
• You have the initiative to turn ideas into outcomes and the agency to identify and fix gaps, even when they aren’t yet on the formal roadmap.

You can apply for this role through our Open Positions page (or through our Internal Job Board if you are a current employee). We will review submissions on an ongoing basis.

Paid Media Manager

Position: Contractor (mid-May to the end of Oct), 40hrs/wk 

Location: Remote, MT or PT based

About the Role

We’re looking for a Paid Social Media Manager with deep expertise in TikTok and Meta to join Movement Strategy.

This role sits at the intersection of paid media and creator marketing — ideal for someone who is equally comfortable owning campaigns end-to-end in Ads Manager as they are collaborating with influencer teams to bring creator-led campaigns to life.

You will lead creator-led paid social campaign execution that is at the center of a brand campaign launch for a new non-profit organization, with a strong focus on TikTok-first strategies, including Branded Mission campaigns, Spark Ads, and creator amplification.

This is a Manager-level role, meaning you will operate with a high degree of ownership, make independent decisions within strategy, and serve as a key partner across teams.

A BIT ABOUT US

Movement Strategy creates content and campaigns for the world’s most exciting brands. We win awards, make headlines, shatter engagement numbers and celebrate the journey along the way. It’s why companies like Netflix, Amazon, Spotify, and Intuit come to us again and again.

We’re fully remote with hubs in New York, Denver, and LA, and a presence all across the US. We believe collaboration is what takes our work from good to great, and at times, even to legendary status. We champion diverse opinions and creativity in every department, and provide professional development and learning opportunities with the goal of helping you discover your best work today, and learn how to make it even better in the future.

KEY FOCUS AREAS 

Campaign Ownership & Execution

• Own end-to-end execution of paid social campaigns across TikTok and Meta
• Support senior manager and associate director of paid media to manage reserved media buys across TikTok, Meta, Google (YouTube) and programmatic partners.
• Manage full campaign lifecycle: setup, QA, trafficking, pacing, optimization, and reporting
• Ensure campaigns are executed accurately, on time, and within scope — with strong attention to detail
• Make independent optimization decisions within agreed strategy, including:
• Audience adjustments
• Budget shifts
• Creative rotation and testing

Creator + Paid Integration (Core to Role)

• This is a hybrid role that manages TikTok creator content briefing and content development, with a dotted line reporting into Group Director of Influencer Marketing.
• Partner with the Group Director of influencer teams to:
  • Develop creator briefs aligned to paid objectives
  • Review and select creator content for organic publishing (via creator’s own handle) and paid amplification (boosting)
• Manage creator workflows from:
  • Briefing → feedback → approvals → whitelisting/Spark Ads → go-live
• Execute campaigns via:
  • TikTok Ads Manager
  • TikTok One (Creator Marketplace)
• Ensure creator content is optimized for performance, not just delivery

TikTok Specialty

• Own and execute TikTok Branded Mission campaigns end-to-end
• Brief, identify, source, and activate creators within TikTok ecosystem
• Apply deep understanding of TikTok formats, trends, and performance signals
• Stay ahead of platform updates, beta features, and emerging opportunities

Measurement, Reporting & Insights

• Analyze paid media performance data in partnership with the Senior Manager and Associate Director of Paid Media team, Strategy and Analytics team, connecting insights to recommendations and business implications.
• Own insights and commentary of reporting deliverables that go beyond metrics—telling a clear story about what happened and why, and how to move forward.
• Use platform tools, client provided and measurement partners data to triangulate insights.
• Collaborate with Data & Insights to validate findings, build benchmarks, and improve predictive modeling.

Cross-Functional Collaboration

• Proactively partner with peers across:
• Strategy
• Creative
• Influencer
• Client Engagement (C&E)
• Coordinate timelines, inputs, and deliverables across teams
• Flag cross-functional dependencies, risks, and trade-offs early
• Adjust paid execution based on upstream and downstream constraints

Innovation, Testing & Trend Intelligence

• Stay deeply informed on platform trends, new ad formats, AI advancements, creative best practices, and measurement evolution.
• Bring forward opportunities that leverage new channels, targeting tactics, and creative experimentation.
• Help push clients toward data-supported innovation and performance improvement.

QUALIFICATIONS + KEY FOCUS AREAS

Must-Haves

• 3–5 years of experience in paid social media (TikTok + Meta)
• Hands-on experience owning campaigns in TikTok Ads Manager end-to-end
• Proven experience executing TikTok Branded Mission campaigns
• Experience managing creator content from:
• Briefing → feedback → paid amplification
• Experience using TikTok One (Creator Marketplace)
• Strong understanding of creator-led performance marketing

Nice-to-Haves

• Experience in nonprofit or mission-driven campaigns
• Agency experience
• Familiarity with additional platforms (YouTube, Reddit, etc.)

Who You Are

• Comfortable operating with autonomy while staying aligned to strategy
• Deeply curious about what drives performance on TikTok and Meta
• Detail-oriented, organized, and highly accountable
• Collaborative and proactive in cross-functional environments
• Excited about shaping how paid media and creator strategies work together    

SALARY & COMPENSATION

In compliance with local and state law, we are disclosing the compensation for roles that will be performed in New York City, Colorado, and California. The range listed is just one component of Movement Strategy’s total compensation package for employees.  Individual compensation varies based on location, business needs, level of responsibility, experience, and qualifications. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. 

A successful applicant’s actual base salary may vary based upon, but not limited to, skill sets, years of relevant experience, qualifications, and certifications or other professional licenses held. Movement Strategy prides itself on providing competitive salaries and actively works to ensure there is pay equity across the company. 

Pay Range: $55/hour 

Movement Strategy is an Equal Opportunity Employer

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply for jobs unless they check every single box. Movement Strategy is dedicated to building a diverse and inclusive workplace and strongly encourages those from historically and systemically marginalized communities to apply. 

We believe that what we put out into the world matters. And since we were founded on the principles of paving our own path, we take bold steps toward what we believe is the right direction. This means addressing the big stuff: the systems of inequality that impact some of us far more than others. As culture creators, we firmly believe we have a responsibility to our colleagues, clients, communities, and the industry to live up to the Movement’s name. We confront inequities head-on as they come, knowing that this work is never done and that we must keep the momentum.

Role: Senior Video and Podcast Producer  

Location: New York, United States

Hybrid Role in office  

About the role: 

We are looking for a Podcast & Video Producer, with a strong background in content production. The role is primarily onsite with one of our financial services clients in New York. You will be responsible for overseeing a busy ecosystem with an associated volume of podcast and video content across a range of platforms.  

In this role, you will collaborate with the content team & oversee the post-production projects through delivery.  You will be liaising with stakeholders and suppliers as required. You will have at least 6+ years’ production experience with a strong focus on the successful delivery of podcasts, video & digital events.  

Candidate should be adept at working in a fast-paced and collaborative environment, with experience taking initiative and working closely with both internal teams and clients. Ideally, you will have some experience of production within financial services.  

The successful candidate will thrive under pressure with experience across multiple disciplines but specifically will have demonstrated experience of the delivery of multi-language outputs from webcasts, pre-recorded content, insight driven animations & thought leadership content. You will be driven by creative excellence and confident to deliver whilst producing multiple projects at various stages of production.  

This role will require managing multiple projects of small and medium scale, ensuring high standard production value and smooth delivery within the given timelines and budgets. 

You will be data informed and ensure a holistic view of the eco-system of production to output relevant data and insights to optimize future outputs. 

What you will be doing: 

• Liaise with our clients -- Marketing Managers to understand scope and objective of every project work with the US Multimedia team to discuss best approach per project – ensuring it aligns with global marketing efforts and managing the project load for the team.  
• In partnership with the Multimedia Team, oversee vendors both to deliver multimedia projects on time and on budget.  
• Estimated breakdown is 50% podcast and 50% video but will fluctuate based on the needs of the business.  
• Serve as the subject matter expert on podcast production, overseeing all aspects from technical duties to administrative tasks. 
• Ensure multimedia production aligns with company’s best practices. Work on the day-to-day production of marketing podcasts, internal video educational projects and external marketing videos, coordinating production. 
• Manage kick-off briefings and meetings, driving everything from consultation & support to production scoping through production to final delivery.  
• Manage all audio and video recordings for pre-recorded videos with speakers and vendors.  
• Coordinate with the Content Team to ensure speakers are briefed and confident with content to be delivered during recordings.   
• Create transcripts and compile editing scripts for post-production with detailed time codes and clear editing instructions.  
• Collaborate with internal stakeholders and manage post-production with meticulous attention to detail; ensuring lower-thirds, top and tail animations, content edits, graphic/b-roll enhancements and disclaimers are consistent and correct.  
• Ensure production and post-production schedules are up to date; coordinate with Marketing Team and vendors to hold dates.  
• Oversee and manage video post-production & review process with stakeholders ensuring we are following rules by work closely with the compliance review team to ensure video content adheres to legal and compliance guidelines. 
• Oversee the upload of podcasts and videos to various platforms, from website to social sites and track video performance. Report analytics to Multimedia Manager.  
• Navigate the backend and functionality of podcast and video hosting platforms including Apple, Spotify, Vimeo, YouTube, Brightcove (hosting platform) and other 3rd Party sites.  
• Liaise, support and facilitate communication and tasks with design and post-production  teams.  
• Recognize marketing objectives and how the use of digital media can support marketing requirements.  

What you need to be great in this role: 

• 6+ experience in both project managing and line production of still and moving image is essential with proven knowledge of multimedia & digital events content production.  
• Strong experience in working with live streaming technologies is essential.  
• Financial services experience is a strong plus  
• People person with strong relationship building skills. Proven ability to gain respect, trust and confidence of senior management, partners and clients is required.  
• Excellent communications skills.  
• A keen eye for detail and outside-of-the-box thinking.  
• Team player with the ability to work under own initiative.  
• Extremely organized, flexible, accurate, excellent on the craft and detail.  
• Solutions and deadline driven.  
• Creative, innovative and willing to contribute ideas and professional opinion.  
• Ability to work on multiple projects at any given time.  
• Calm, able to work under pressure and tight deadlines.  
• Dynamic, enthusiastic and positive personality.  
• Great negotiation skills.  
• Great network of contacts in relevant markets.  
• At the time of this posting, the base salary for this position may range from $106,250.00 to $118,750.00 USD. Individual compensation varies based on job related factors, including location, business needs, level of responsibility, experience, and qualifications. The range listed is just one component of OLIVER’s total compensation package. 

Req ID: 17448

#LI-midsenior  

Role: Managing Partner 

Location: NYC Metro Area

About the role: 

Success means a thriving client relationship built on trust and exceptional work, a motivated and growing team, a commercially healthy studio, and a reputation as a leader in AI-enabled creative delivery. 

What you will be doing: 

• Lead the North America partnership for the client— serve as the senior point of contact, building trust at CMO and VP level and ensuring OLIVER is positioned as an indispensable strategic partner 
• Be accountable for the North America P&L, overseeing revenue, margin, resourcing, and forecasting with the support of an Account Director and finance partners 
• Set the creative and strategic standard across integrated campaigns, always‑on content, CRM, social, digital, and brand activity for the client's portfolio of brands.
• Guide and develop a team of 20+ creatives and account professionals, fostering a culture of collaboration, craft, and continuous improvement 
• Identify and activate growth opportunities — new brands, new workstreams, new capabilities — that deepen the partnership and expand the studio's scope 
• Champion AI integration across the studio, establishing a vision for how generative AI tools enhance creative output, production efficiency, and personalization at scale 
• Establish AI governance and quality standards, ensuring responsible use with strong human oversight and creative judgment 
• Partner with the client’s marketing, brand, and procurement teams to align studio priorities with business objectives and campaign calendars.
• Translate client challenges into clear briefs and strategic direction that enable the creative team to deliver outstanding work 
• Report on studio performance — creative quality, operational efficiency, client satisfaction, commercial results — to OLIVER senior leadership 
• Represent OLIVER in industry forums and with senior stakeholders, contributing to thought leadership on in-house models, AI, and creative effectiveness 

What you need to be great in this role: 

• A strong track record in senior client leadership — leading large, complex accounts at the intersection of brand, creative, and commercial strategy 
• Experience overseeing P&L or significant revenue responsibility, with confidence in forecasting, margin management, and commercial negotiation 
• Proven ability to build and sustain trusted relationships with senior client stakeholders (VP / C-suite level) 
• Experience leading and developing multidisciplinary teams of 20+, creating environments where people do their best work 
• Deep understanding of integrated marketing — campaigns, content, CRM, social, digital, brand — and how these connect to deliver business results 
• A portfolio of work (or leadership of work) that demonstrates creative ambition and strategic rigor 
• Experience in regulated industries (valued but not essential) 
• Sharp commercial instincts — able to spot growth opportunities and build compelling cases for expanded scope 
• The ability to simplify complexity, align diverse stakeholders, and make decisions with clarity and accountability 
• AI fluency: deep, hands-on familiarity with generative AI tools (e.g., ChatGPT, Claude, Midjourney, Runway, Adobe Firefly) and a clear point of view on how they reshape creative and production workflows 
• AI strategy and vision: ability to set the direction for AI adoption across a studio — defining where AI adds value, where human creativity leads, and how to govern quality 
• Agentic leadership: a systematic, goal-oriented approach to complex business challenges — breaking them into components, identifying the best path forward, and executing with adaptability 
• AI capability building: experience developing AI literacy and confidence across teams, establishing best practices and responsible use standards 
• Thought leadership: a credible, informed voice on AI's role in creative industries, able to represent OLIVER's perspective to clients and the wider market 
• At the time of this posting, the base salary for this position may range from $212,500.00 to $237,500.00. Individual compensation varies based on job related factors, including location, business needs, level of responsibility, experience, and qualifications. The range listed is just one component of OLIVER’s total compensation package. 

Req ID: 16948

#LI-midsenior  #LI-FD1 

The Team

Upstart’s Office Management + Workplace Events team is responsible for creating environments where Upstarters can do their best work—whether they’re collaborating in person or operating in a digital-first model. The team focuses on building thoughtful, scalable workplace experiences that support productivity, connection, and operational excellence across our offices.

As the Office Management and Workplace Events Lead, you will play a key role in launching Upstart’s New York City office and bringing our Digital First strategy to life in a new market. You will own the day-to-day onsite experience and help establish the systems, processes, and partnerships that make the office a functional and welcoming space from day one. This role is ideal for someone who enjoys building structure in a new environment while delivering a consistent, high-quality workplace experience.

How you’ll make an impact

Launch and operationalize the NYC office, establishing day-to-day workflows, vendor partnerships, and employee experience standardsOwn daily office operations, including reception, catering, mail services, seating coordination, and guest experiencePartner with building management to support facilities operations, safety compliance, and implementation of building protocolsPlan and coordinate onsite meetings, events, and team gatherings in partnership with IT, Executive Administration, and People OperationsManage vendor relationships, including onboarding, scheduling, and ongoing coordination of servicesTrack and maintain workplace data, including headcount, space usage, and basic budget tracking

Minimum Qualifications

• Bachelor’s degree or equivalent practical experience
• 4+ years of experience in office management, workplace operations, or administrative operations roles
• Experience coordinating office operations in a corporate environment, including facilities, events, or employee services
• Experience working with external vendors or service providers to support workplace operations
  

Preferred Qualifications

• Experience supporting office openings, relocations, or new workplace initiatives
• Experience supporting executive-facing meetings or onsite events
• Knowledge of workplace operations processes such as space planning or office logistics
• Ability to coordinate across teams such as IT, People Operations, and Executive Administration
• Experience working in a fast-paced or high-growth environment

Location, Time zone, and travel requirements

Position location: This role is based in Midtown Manhattan (NYC) and requires in-office presence

Time zone requirements: The team operates on East Coast time

Travel requirements: You may travel once or twice per year to other Upstart offices for team onsite meetings; travel expenses are covered

#LI-Associate --> use for L3, L4

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.

Your wellbeing, our mission. Join a company shaping a healthier world.

GET TO KNOW US

At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company.

We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. 

Join us in redefining the future of wellbeing!

THE OPPORTUNITY

We’re growing our U.S. presence and looking for a driven, authentic, and resourceful SMB Sales Executive to join our Client Sales team in New York City.

In this inside, full-cycle sales role, you’ll own the entire new business process for the Small-to-Midsize Business (SMB) market - prospecting, pitching, negotiating, and closing new logos. If you’re a self-starter who loves building relationships, solving problems, and winning in a fast-paced environment, this role is for you.

YOUR IMPACT

• Prospect with Purpose: Identify, research, and tenaciously pursue new B2B opportunities through calls, emails, social outreach, and creative channels.
• Build Pipeline with Creativity: Use innovative outreach tactics to connect with prospective clients and spark meaningful conversations.
• Own the Full Sales Cycle: Lead deals from first touch to close—running discovery, presenting solutions, negotiating terms, and consistently hitting revenue targets.
• Solve Problems, Not Just Sell: Understand customer pain points deeply and position Wellhub as a strategic partner, not a widget.
• Win as One Team: Bring a competitive edge and collaborative mindset—celebrating your own wins while contributing to a culture of shared success.
• Live the mission: Inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.

WHO YOU ARE

• 3+ years of full-cycle sales experience, with a strong track record of success in new business acquisition.
• SaaS or PaaS sales experience, or equivalent experience in a related B2B tech environment.
• Excellent communication skills, with genuine curiosity, active listening ability, and an authentic approach with prospects.
• A self-starter mentality: you don’t wait for direction—you create momentum, find solutions, and drive outcomes.
• Comfort with ambiguity, paired with strong organization, adaptability, and optimism.
• High coachability, strong work ethic, and a growth mindset.
• Experience using Salesforce and familiarity with sales engagement tools like Outreach or Salesloft.
• A passion for wellbeing and helping people live healthier, happier lives.

We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don't match the job description 100%. We welcome your application and will be delighted to explore if you could be a great fit for our team. For this specific role, please note that prior experience in B2B Sales and strong communication skills are mandatory requirements.

WHAT WE OFFER YOU

With thoughtful benefits, emotional wellbeing resources, and a culture that empowers you to take ownership of your role and your wellbeing, we create an environment where you can thrive in all dimensions of your life. 

In New York, California, Colorado, Massachusetts, and Washington, the annual base salary range for this role is $78,000 - $85,000. The base salary range for other locations may vary. Actual base salary will be dependent on geographic location, relevant experience, skills, qualifications and/or other job-related factors. In addition to base salary, this role is eligible to participate in our sales incentive plan.  With the sales incentive plan, the estimate On-Target-Earnings (OTE) range is $128,700 - $140,250+. Actual OTE will vary based on achievement against specific quotas and relevant performance metrics

Our benefits include:

WELLHUB: Free Gold-level membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental wellbeing support, and more! Add up to three family members to your plan, ensuring access to wellness for those who matter most to you.

HEALTHCARE: Health, dental, and vision insurance. Access to telehealth, care concierge, and an Employee Assistance Program. 

FINANCIAL WELLNESS: Plan for your future with 401(k) match, short-term and long-term disability, and life insurance.

FLEXIBLE WORK: As a Flexible First company, we offer hybrid and remote options to give you the freedom to work in a way that suits you. The model for this specific role can be discussed with your recruiter and hiring manager. We offer all employees a one-time reimbursement to set up their home office equipment and a monthly work allowance to help cover the costs of working from home

• Our US HQ is in New York City. We are currently set up to hire in California, Colorado, Connecticut, Florida, Georgia, Illinois, Massachusetts, Missouri, North Carolina, New Jersey, New Hampshire, New York, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, and Wisconsin.

FLEXIBLE SCHEDULE: Flexibility for us isn’t just about where we work—it also means being able to shape how and when we get things done. Together with their leaders, employees define schedules that align with their time zones, team needs, and personal routines. 

PAID TIME OFF: We know how important it is to take time away from work to recharge. Employees receive a minimum of 25 days PTO per year with an additional day for each year of tenure (up to 5) in addition to annual holidays (including an extra holiday on your birthday!) 

PAID PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life. Take the time to be present and enjoy your growing family. We offer up to 12 weeks 100% paid parental leave to all new parents. For parents giving birth, we offer up to 18 weeks paid leave and a ramp-back period to return part-time while you get settled.

CAREER GROWTH: Access world-class platforms, participate in interactive sessions,  build your personalized development roadmap, and explore internal opportunities. We focus on continuous learning and feedback to support your journey toward personal and professional success. 

CULTURE: You’ll join a team of passionate people who come together to break boundaries, support each other, and create a meaningful impact in workplace wellness. We win together, building trust through open communication and a culture where every perspective matters. Learn more about our shared culture and values here. 

And to get a glimpse of life at Wellhub… Follow us on Instagram @lifeatwellhub and LinkedIn!

Wellhub was named a Top Sales Team of 2025!
This is a recognition of the collaboration and impact we create together every day. Ready to be part of a team that’s making a real difference? Read more about the award here. 

Diversity, Equity, and Belonging at Wellhub

We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong. At Wellhub, we welcome and celebrate your authentic self.

Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Our commitment to inclusion also extends to how we recognize and reward our people. We’re proud to be Syndio Fair Pay Certified, reflecting our ongoing dedication to equitable and fair pay practices across our global team. Read more about it here.

 #LI-HYBRID

About the role:

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

Where you will work:

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

What you will do:

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

The ideal candidate has:

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

Technologies we use: 

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

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

Compensation Transparency:

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

About the role:

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

Where you will work:

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

What you will do:

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

The ideal candidate has:

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

Technologies we use: 

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

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

Compensation Transparency:

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

About the role:

We are seeking an exceptional Director, Engineering to join our Search team. This role will report to the Chief Technology Officer. The Search team owns our provider recommendations system, provider data aggregation pipelines, and our AI-powered member support systems.

Where you will work:

This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. Relocation assistance is available for non-local candidates.

What you will do:

• Lead the development of a world-class Search system that organizes provider data in order to deliver relevant and impactful recommendations to our members
• Own and drive the execution of relevant quarterly deliverables and long-term strategy
• Collaborate closely with cross-functional teams to align strategies and achieve company objectives
• Provide leadership and guidance to your teams, fostering a culture of excellence, collaboration, and accountability
• Ensure your team proactively incorporates relevant new technologies, system designs, and strategies, especially in the domains of big data, ML, and AI
• Influence relevant partner teams in order to accelerate delivery across the organization
• Champion and ensure the privacy and security of our users’ data
• Mentor, grow, and recruit Garner’s next generation of engineering leaders

The ideal candidate has:

• 6+ years in software engineering, including 3+ years managing software or data engineering teams
• 1+ year managing engineering managers
• Experience operating production ML systems for user-facing use cases using modern ML platforms (e.g., SageMaker, Vertex AI, MLflow, BentoML, or similar)
• Familiarity with feature engineering technologies, including DataFrame-based processing frameworks and feature stores used in production systems
• Familiarity with the production ML lifecycle, including how models are packaged, deployed, and iterated over time; model development experience is not required
• Familiarity with data engineering concepts that support ML-powered systems, including large-scale data processing and orchestration (e.g., Spark, Airflow, or similar) used to produce and maintain model features
• Experience with personalization, recommendation, or search systems preferred
• Ability to translate complex business needs into a clear, executable technical roadmap
• Experience working with regulated data; healthcare data standards (HIPAA, EDI) a plus
• A willingness to “roll up your sleeves” and do whatever is necessary to ensure company success
• Experience working in a rapidly evolving startup environment 
• A desire to be a part of our mission to improve the U.S. healthcare system
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback

Technologies we use: 

• Python, TypeScript, React, Kubernetes, Postgres, AWS, NATS, Airflow, Snowflake

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

Compensation Transparency:

The target salary range for this position is $285,000 - $315,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.