What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Define and lead product strategy: Develop the product vision, strategy, and roadmap for energy, charging, and connected services. You will drive product development from zero-to-one, bringing to life a world-class product experience and ensuring alignment with overarching business goals. You will own the full development stack, from ideation through development, translating business needs into actionable work items. Given Scout's nascency, you should be extremely comfortable navigating ambiguity in early-stage startups to formulate concrete, actionable plans.
• Build for humans: Act as a customer advocate, crafting experiences that enhance the vehicle ownership experience and differentiate Scout in the marketplace. Be disagreeable and don't accept anything less than a class-defining experience for customers. Be ridiculously collaborative: Partner with cross-functional teams, including our Charging team, vehicle user experience (VUX) team, R&D, software engineering, and third party service providers, to design and deliver innovative digital products that help customers manage their vehicle, charge, and pay for services. Be ready to drive alignment with many competing stakeholders.
• Manage (a lot of) relationships: Act as a trusted advisor to internal and external partners, presenting solutions that align with broader business goals. Be a natural relationship builder and clear communicator.
• Operationalize products: Oversee the roll-out of technical solutions to the marketplace, ensuring performance, reliability and consumer adoption achieve agreed upon outcomes.
• Drive technical excellence: Build relationships with software engineering to ensure scalable, efficient, and secure delivery. Leverage expertise in system architecture, APIs, and data integration to support technical decisions.
• Measure success: Define KPIs and success metrics to track product and platform performance, using data to refine and improve over time

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Fremont, California. 
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

Experience

• 8+ years of product management experience, with a strong emphasis on consumer facing digital products.
• Demonstrated success in building and launching complex digital experiences enjoyed by millions —or billions — of people around the world.
• Zero-to-one experience, especially as it relates to consumer mobile products
• A clear sense of what good software looks like.
• Automotive and/or IoT experience is a plus, but not required

Technical Expertise

• Strong understanding of system architecture, APIs, and cloud technologies.
• Strong understanding of native app development (iOS and Android), with demonstrated, real-world experience shipping products to consumers
• Conversant in the language of software, including pros/cons of native vs. cross-platform development

Skills

• Exceptional communication and collaboration skills to influence and align diverse stakeholders.
• Data-driven decision-making abilities and experience with tools for analytics and performance measurement.

Education

• Bachelor's degree in computer science, engineering, or a related field, though demonstrated experience in building real-world product development is far more critical.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial Base Salary Range: $140,000.00 - $170,000.00

Initial California Base Salary Range: $154,000 - $187,000

Internal Leveling Code: IC8

About the Team 

Enterprise Engineering builds integrated, scalable platforms that power Roku’s core Finance, Accounting, Payments, Supply Chain, and HR processes. We use API-first, data-driven, and increasingly AI-enabled designs to automate complex workflows, improve control and compliance, and reduce manual work for our partners.

About the Role 

We’re hiring a Senior Product Manager to lead finance and payouts platforms within Enterprise Engineering, with a strong focus on AI-driven automation. You will own products that support order-to-cash, revenue accounting, financial close, reconciliations, and partner payouts, working across Controllership, FP&A, Tax, Treasury, Payments, Ads Revenue Operations, and Business Systems. 

You’ll define the vision, roadmap, and execution for capabilities that combine robust finance controls with modern engineering and AI - e.g., ML-assisted reconciliations, anomaly detection, intelligent exception routing, and Gen-AI powered tools for finance users. This is a high-impact senior IC role; you will regularly influence senior stakeholders across regions, while partnering closely with engineering leads and architects.

What You’ll Be Doing

• Own strategy & roadmap for finance and payouts platforms, including AI-enabled capabilities (classification, matching, forecasting, GenAI assistants) 
• Deep-dive workflows across revenue, close, reconciliations, payouts and compliance; map pain points and define automation opportunities 
• Write clear, structured product requirements (data contracts, controls, SLAs, UX) that Engineering and Finance can execute on 
• Partner daily with engineering and architecture to make pragmatic design tradeoffs on platforms, integrations, and AI usage 
• Define and track success metrics (automation %, cycle time, error rates, payout and reconciliation accuracy), and iterate based on results 
• Drive change management: clear comms, training, and adoption plans for new platform and AI features 
• Keep a close pulse on team and stakeholder “vibe” – building trust, surfacing risks early, and fostering a low-ego, high-ownership way of working 

We’re Excited If You Have

• 8+ years of product management, including substantial time on internal platforms or business systems 
• Strong experience in Finance/Accounting technology (e.g., ERP, revenue systems, sub-ledger / journal automation, reconciliations, payouts) 
• Demonstrated ability to translate complex accounting and regulatory requirements into scalable product designs 
• Hands-on experience with AI / ML or intelligent automation in business processes (e.g., matching, anomaly detection, NLP/GenAI assistants, rules + ML hybrids) 
• Strong systems thinking: comfortable with APIs, data models, integrations, monitoring and controls 
• Excellent written and verbal communication; able to tell a crisp story to executives, Finance stakeholders, and engineers 
• Proven track record working effectively across time zones and cultures, maintaining a healthy and productive team “vibe” 
• Experience in media, advertising, or digital platforms with complex revenue and payout models 
• Background in Finance/Accounting (e.g., CPA, Chartered Accountant, or MBA with finance emphasis)

#LI-AB3

About the Team

Roku’s Voice Team aims to develop the best voice system for TV.  We enable users to perform tasks hands-free using voice, such as searching for movies or turning on their TV and launching content.  Multiple languages are supported, and our technology also enables Roku’s IOT devices to be controlled by voice.

About the Role

The Senior Technical Program Manager (TPM) for Roku Voice will own the planning and execution of complex, cross‑functional programs that deliver high‑quality voice features and infrastructure at scale. You will be the central coordination point across Voice Engineering, UX, PM, Analytics, QA, and external partners, ensuring that priorities are clear, roadmaps are realistic, and launches are smooth.

What you’ll be doing

• Lead end‑to‑end planning and execution of major Roku Voice programs (e.g., new voice capabilities, regional expansions, infrastructure upgrades), from concept through launch and post‑launch iteration
• Own program structure: requirements, milestones, dependencies, risk management, communication plans, and status reporting across engineering, analytics, QA, and partner teams
• Drive alignment on priorities and scope across teams; ensure that upstream and downstream dependencies are understood and managed
• Coordinate with external voice technology partners and internal platform teams, ensuring integration plans, SLAs, and release timelines are well defined and met
• Track progress of builds, engineering changes, and issue closures with urgency and attention to detail
• Establish and continuously improve program management processes and tooling for the Voice org
• Communicate clearly and crisply at all levels of the organization, from engineers to VP+ stakeholders, including regular status, risks, and trade‑offs
• Anticipate and surface risks early; drive mitigation plans and make data‑informed recommendations on resourcing, sequencing, and scope

We're excited if you have

• 5+ years  of technical program management, engineering management, or equivalent experience delivering complex software or ML‑driven products
• Demonstrated experience leading cross‑functional programs that span multiple engineering disciplines (e.g., backend services, ML, data, or platform teams)
• Strong familiarity with at least one of: machine learning, speech/ASR, NLU/NLP, or large‑scale data/experimentation. You do not need to be an ML engineer, but you must be comfortable engaging deeply with technical details
• Proven track record of driving programs from inception to launch, including requirements definition, roadmap planning, risk management, and post‑launch iteration
• Excellent communication and stakeholder management skills; able to drive clarity and decisions among senior leaders and distributed teams
• Hands‑on experience with modern program management and collaboration tooling, including the use of GenAI
• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Preferred Qualifications

• Experience in consumer devices, streaming, voice assistants, or other user‑facing ML products
• Experience working with geographically distributed teams and external technology partners

#LI-SB5

About the Team 

Roku’s Voice Team aims to develop the best voice system for TV.  We enable users to launch channels, search for movies, TV shows, sports, and music, discover new content, and control their TVs and Smart Home devices with natural spoken requests, including hands-free, in multiple languages.  Our goal is to help people find what they want and make it easier for people to stream.  We accomplish this using state-of-the-art technology and engineering to make it happen, with consideration for the customer as the center of all that we do.

About the Role

We are looking for a top-notch Sr. Computational Linguist who is passionate about using language data and modeling to help our users connect effortlessly to Roku content and functionality.  In this role, you will have the opportunity to analyze data from our users around the world and incorporate your insights into our products.      

You will be joining a talented, high-performance team with a history of delivery.  We are looking for someone who can help us maintain this accelerated pace and continue delivering high quality as we grow.

What you’ll be doing

• You will develop models to extend voice support to new Roku features and across languages internationally
• You will collect and analyze spoken and written language data to improve our models, capturing a wide variety of expressions in rule-based or machine-learned systems
• You will maintain our existing systems, recognize issues and apply the right tools to debug and solve problems

We’re excited if you have

• Master’s or Ph.D. degree in Linguistics, Computer Science, or related field
• Proficiency in at least one non-English language, ideally at the native or near non-native competence level, with Spanish or Portuguese preferred
• At least two years of experience with spoken natural language applications
• Solid knowledge of core linguistics: semantics, syntax, morphology, phonology, phonetics, discourse, and dialogue
• Experience with rule-based grammars and machine learning for NLP, including LLM and generative AI
• Practical experience with cleaning, manipulating, and analyzing large natural language data sets
• Experience with scripting languages, preferably Python
• Experience creating and adapting database queries in SQL
• Experience with version control and collaborative software development

#LI-SB5

About the team 

Roku continues a long-term trajectory of supporting summer internship roles within the organization, to provide applicants with experience of our enthusiasm, expertise and company culture.  

The Advanced Development, AI @ Roku (Roku’s internal AI productivity suite), Content, and Edge AI team within the Engineering organization has been granted 4 summer internships in 2026. These internships are only available to postgraduate students who are currently studying for a PhD or have recently successfully completed a PhD. 

About the role 

The purpose of the internship is to involve each student in the work of the AI @ Roku, Content, and Edge AI team. Each student will be assigned a supervisor among the senior members of the team. This supervision aims to ensure that the intern finishes their contract with a clear view of what permanent employment within the AI @ Roku, Content, and Edge AI team would be like.  

All the intern projects will be clearly defined at the outset, easy to get started and challenging to complete, and relevant to the AI @ Roku, Content, and Edge AI team’s Q3 and Q4 2026 goals. 

Project outlines: 

• Multi-modal AI: Building new experiences for TVs with Vision-Language Models, focusing on multi-modal understanding and natural language interaction. 
• Developing multimedia content generation techniques 
• Content understanding and analysis for episodic and cinematic videos 
• Deploying and optimizing AI algorithms to the edge 
• Using AI to improve image and video quality 

What you'll be doing 

• Define, agree, and track the meaningful measures (KPIs) of success in the project.  
• Collaborate effectively with other members of the project team to achieve goals.  
• Contribute meaningfully to the implementation and delivery of the project.  
• Identify and communicate key learnings within and across project teams.  
• Actively partner with experts in the project field in Cambridge, and internationally.  
• Conduct feasibility studies to determine if 'new-to-the-world' ideas are viable for long-term integration into the Roku OS. 
• Present findings and prototypes to the broader engineering and product leadership to influence Roku’s long-term innovation roadmap.

We’re excited if you have 

• PhD in STEM discipline (current or recent)  
• Strong problem-solving and analytical skills 
• Excellent communication and presentation skills 
• Proficient in data visualization and interpretation 
• High-level proficiency in Python 
• Background in mathematics, statistics, and CS 
• Ability to design and implement machine learning models 
• Familiarity with machine learning frameworks (PyTorch, Tensorflow) 
• Understanding of machine learning and computer vision algorithms and techniques 
• Experience with image processing pipelines, embedding spaces or modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, LangFuse) is a plus. 

About the team 

A reliable, privacy-safe, and scalable data foundation is critical to Roku’s rapidly growing advertising business. The Ad Data Activation organization builds the identity systems, device graph pipelines, audience platforms, insights tooling, and data collaboration capabilities that power targeting, measurement, and reporting across Roku Ads. 

We are hiring a Senior Machine Learning Engineer to help drive intelligence across these systems. You will work at the intersection of large-scale data platforms, applied machine learning, and generative AI — building capabilities that make Roku's advertising data more actionable for internal teams and advertisers. This includes building core generative AI platform features for Roku Advertising, while also applying traditional ML techniques to improve accuracy, automation, and decisioning across the ecosystem. If you enjoy working across data, ML, and new Gen-AI patterns — and want to shape how intelligence shows up inside Roku Ads — this role is for you. 

About the role 

In this role, you will design, build, and productionize intelligent capabilities that combine agentic Gen-AI systems with conventional ML pipelines across identity resolution, audience modeling, attribution, and optimization workflows. You will work with massive datasets, develop pipelines that transform raw signals into actionable features, and partner closely with product, data science, and platform teams. 

What you will be doing 

• Develop scalable and effective ML models and data pipelines to power identity, graph enrichment, audience segmentation, and campaign performance intelligence 

• Design and run experiments, measure impact, and translate results into product decisions and customer outcomes 

• Build and productionize agentic, generative-AI features — including reporting and insights agents, campaign-monitoring agents (with human-in-the-loop controls), and a semantic layer for reliable, natural-language analytics 

• Improve automation, reliability, and scalability across model training, feature engineering, deployment, and monitoring frameworks 

• Work closely with software and ML engineers to deliver end-to-end solutions from data ingestion through downstream systems 

• Partner with senior stakeholders to shape ML and Gen-AI strategy for Ad Data Activation — identifying the right problems for AI, ensuring safety, and driving advertiser productivity. 

We’re excited if you have 

• 5+ years of experience applying ML or data science to real business problems at scale 

• Master’s degree (or higher) and 4+ years of experience in CS, CE, ML, or a related field 

• Strong CS fundamentals and ability to design efficient algorithms and production systems 

• Experience with ML approaches used in large-scale data problems (e.g., regression, classification, tree-based methods, embeddings, sequence models, or basic NLP) 

• Strong intuition for defining KPIs, objective functions, and evaluation frameworks for ML-driven systems 

PREFERRED QUALIFICATIONS 

• Knowledge of programming languages such as Python, Scala/Java, C/C++, or similar 

• Experience working with large-scale data platforms (Spark, Presto/Trino, feature stores, data lakes, etc.) 

• Experience building or integrating with LLM/Gen-AI pipelines (prompting, evaluation, retrieval, safety) is a plus 

• Prior publications, patents, or open-source contributions are a plus 

About the Team

The Advanced Development team at Roku pushes beyond today’s product lines to invent the next generation of intelligent and generative media systems.
We explore ideas that sit years ahead of production, developing foundational technologies that will redefine how content is understood, created, and personalised across millions of Roku devices.

This is a rare environment — a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps.
Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision — people who challenge convention, embrace ambiguity, and build what’s never been built before. It’s a collaborative, low-ego, ownership-driven culture built on trust and curiosity.

We’re seeking an Applied Scientist with a strong foundation in mathematics, machine learning, and computer science, combined with experience in cloud engineering, DevOps, and computer vision — someone who thrives where research meets production.

About the Role

As a Senior Applied Machine Learning Engineer, you’ll help design, build, and deploy the systems that make media smarter.
You’ll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence.

You’ll operate at the intersection of machine learning, infrastructure, and software engineering, taking ownership from data collection through deployment — and seeing your work directly influence how audiences experience Roku’s content and advertising ecosystem.

What You’ll Be Doing

• Deploying scalable, fault-tolerant computer vision, media understanding, and generative AI systems to production

• Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations

• Designing uncertainty metrics and communicating results to both technical and non-technical stakeholders

• Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality

• Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising

• Working closely with product and other engineering teams to implement new content and advertising experiences through cloud services

• Integrating services from other teams around the company, while also providing reusable ML services to others

• Evaluating and providing feedback on new platform technologies provided by internal teams

• Working with QA teams to address bugs and contribute to automation and quality assurance

We’re Excited If You Have

• A Master’s degree (PhD preferred) in Computer Science, Applied Mathematics, or a related field

• Strong background developing applied machine learning systems using PyTorch or TensorFlow

• Expertise in image processing, computer vision, or natural language processing

• Experience using AWS, GCP, or Azure for storing data, training, and serving models

• Proven ability to evaluate models and communicate insights effectively

• Experience building APIs with frameworks such as GraphQL or REST

• Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow

• Hands-on experience with Docker, Kubernetes, Terraform, CloudFormation, CI/CD automation, and Python build or packaging tools

#LI-PA1

About the role  

Our Search Platform sits at the heart of the Roku experience, powering voice, text, and visual discovery across 100M+ active accounts and every Roku-powered device worldwide.
 We own the entire stack —from ingesting & enriching a multi-million-title knowledge graph, to low-latency retrieval services and large-scale machine-learning systems that personalize results in real time. Our work doesn’t just help users find shows; it drives core product surfaces (home-screen rows, browse hubs, Roku Voice, mobile app search) and fuels partner monetization. If you enjoy turning cutting-edge research into products used billions of times a day, you’ll thrive here.

Roku’s footprint has more than quadrupled in the past five years, and user expectations have leaped just as fast—think LLM-based query understanding, vector-DB retrieval, on-device models, and multimodal search (voice, text, image). We’re now rebuilding our relevance stack for the next decade, blending classic IR with generative-AI techniques. You will be a technical leader spearheading that transformation. 

What you'll be doing 

• Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations to make our users more delighted and engaged on the platform 
• Run online AB tests and analyze them against the critical business KPIs 
• Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications 
• Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts 
• Provide technical leadership to drive technical and ML roadmap for search ranking and monetization 
• Help recruiting new engineers. Interview, train, and mentor new team members 
  
  We're excited if you have 
  
  
• 7+ years of experience (or PhD with 5 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads 
• Strong CS fundamentals. Should be able covert ideas to code with ease 
• Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plus 
• We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python)  
• Good understanding of system architecture 
• Experience in big data technologies and streaming architecture, data pipelines, etc. 
• MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred 
  
• AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it. 

#LI-AK1

About the team

A highly scalable, highly available, real-time advertising platform is critical to support and grow Roku's rapidly expanding ad business. It is the mission of the Ad Engineering Team to build this platform. We are hiring a Senior Machine Learning Engineer, Advertising Platform, to be a vital part of this mission. If you bring extensive experience building complex systems using Machine Learning and Data Science, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you!

The Ad Serving team, based in Bangalore, is responsible for ensuring that ads on the Roku platform are relevant and of good quality, leading to better outcomes for advertisers and providing a great experience for our viewers. Dealing with millions of ad requests in a day, we need to have best in class ML driven systems to improve the way we serve ads in multiple countries and languages.  

About the role

In this role, you will build and develop ML models to solve for content understanding aspects of Ads. These models rely on the visual, audio and textual content of ads, across multiple languages. This includes developing computer vision and machine learning models/methods such as deep learning models, generative AI solutions, large language models (LLMs) and vision language models (VLMs). You will work with software engineers and other ML engineers to identify, build, train and productionize these models to improve brand safety, increase revenue opportunities and help with moderation and generation of ad creatives in general.

What you will be doing

• Develop scalable and effective machine-learning models and optimization strategies to solve business problems related to Ads
• Run regular A/B experiments, gather data, and perform statistical analysis
• Work closely with software engineers and other ML engineers to deliver end-to-end solutions into production
• Improve the scalability, efficiency and automation of ML driven ad serving systems, model training, deployment and serving
• Partner with senior stakeholders to plan and drive the ML strategy for Ad Serving

We're excited if you have

• 6+ years of building models for business application experience
• Master's degree ( or higher) and 4+ years of CS, CE, ML or related field experience
• Strong CS fundamentals. Should be able to write an algorithm with ease.
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
• Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, sequence-based, and NLP approaches like W2V or Bert
• Can brainstorm and identify the right KPIs and objective functions. 
• Knowledge of programming languages such as C/C++, Python, Java or Perl (preferred)
•  Have publications at top-tier peer-reviewed conferences or journals (preferred)
• AI growth mindset / AI Literacy

About Us (Ensono)

Ensono is an expert technology adviser and managed service provider. As a relentless ally, we accelerate clients’ digital transformation to achieve business outcomes that stand to last. Our dedicated team helps organizations optimize today’s systems across any hybrid environment with services such as consulting, mainframe and application modernization, public cloud migration and cloud-native development. With certified experts in AWS, Azure and Google Cloud and recognized as Microsoft Datacenter Transformation Partner of the Year, Ensono has over 3500+ associates globally and is headquartered in greater Chicago.

We care about your success, offering comprehensive strategic and managed services for mission-critical applications. Our Advisory and Consulting services can help upfront with an application strategy or find the right places for your applications – whether it’s public, multi or hybrid cloud, or mainframe. And because we span across all mission-critical platforms, we can meet you wherever you are in your digital transformation journey, with 24/7 support when you need it. We are your relentless ally, flexing with you when challenges emerge so you don’t feel stuck in place. With cross-platform certifications and decades of experience, our technology experts have become an extension of your team so you’re continuously innovating – doing more with less while remaining secure. And that’s just the beginning.

Job Description: Business Intelligence Manager

Position Summary

The Business Intelligence (BI) Manager is responsible for leading the strategy, development, and operational excellence of enterprise analytics, reporting, and AI-enabled insights. This role oversees BI platforms, data visualization, and analytical solutions—including the responsible application of AI and advanced analytics—to enable data-driven decision-making across the organization. The BI Manager partners with business leaders, data engineering, AI governance, and security teams to ensure insights are accurate, explainable, secure, and aligned with business priorities.

Key Responsibilities

Strategy & Leadership

• Define and execute the enterprise BI and analytics strategy, including AI-enabled insights, aligned to business objectives and data governance standards
• Lead, mentor, and develop a team of BI developers, analysts, and analytics engineers
• Establish prioritization frameworks for analytics and AI-driven use cases
• Serve as a trusted advisor to business and executive stakeholders on analytics and AI capabilities

Analytics, AI & Insights Delivery

• Oversee the design, development, and maintenance of dashboards, reports, predictive models, and AI-assisted analytics products
• Enable the use of AI for trend analysis, forecasting, anomaly detection, and insight generation using governed enterprise data
• Ensure consistent semantic models, metrics definitions, and explainable outputs across BI and AI solutions
• Partner with data science and data engineering teams to operationalize AI outputs into BI platforms and business workflows
• Drive adoption of AI-assisted self-service analytics while maintaining data quality, lineage, and control

Platforms & Technology

• Own BI and analytics platforms (e.g., Power BI, Tableau, Looker) and their integration with AI and cloud data platforms
• Support AI-enabled features such as natural language query, automated insights, and embedded copilots where appropriate
• Define standards for dashboard design, AI explainability, usability, accessibility, and performance
• Lead platform optimization, licensing strategy, and cost management across BI and AI tooling

AI Governance, Security & Responsible Use

• Ensure AI use of data complies with enterprise AI governance, security, privacy, and ethical standards
• Partner with security, risk, and compliance teams to enforce access controls, sensitivity labeling, and usage monitoring
• Support model transparency, bias awareness, and auditability for AI-derived insights
• Maintain documentation for AI use cases, assumptions, and limitations

Data Governance & Quality

• Enforce data governance, certification, and lifecycle management for BI and AI assets
• Establish data quality and AI output validation processes
• Maintain business glossaries, metric definitions, and AI-enabled analytics documentation
• Support audit, compliance, and regulatory requirements related to analytics and AI

Stakeholder Engagement & Value Realization

• Translate business questions into analytics and AI use cases with measurable outcomes
• Enable business teams through training on BI tools, AI-assisted analytics, and responsible usage
• Measure and report on analytics and AI value realization, adoption, and business impact

Required Qualifications

• Bachelor’s degree in information systems, Computer Science, Data Analytics, Business, or related field
• 7–10 years of experience in business intelligence, analytics, or data platforms
• 3+ years of experience leading BI or analytics teams
• Strong expertise in BI platforms (Power BI preferred) and enterprise data architectures
• Demonstrated understanding of AI-assisted analytics and advanced analytical techniques
• Proven experience partnering with senior business stakeholders
• Strong understanding of data governance, security, and compliance principles

Preferred Qualifications

• Experience in managed services, consulting, or multi-client environments
• Familiarity with cloud data platforms (e.g., Snowflake, Azure Synapse, BigQuery)
• Exposure to AI platforms, embedded analytics, or analytics copilots
• Knowledge of data cataloging, lineage, and governance tools (e.g., Microsoft Purview or equivalents)
• Experience operationalizing AI insights within enterprise reporting environments

Key Competencies

• Strategic analytics and AI thinking with operational execution
• People leadership and talent development
• Executive communication and stakeholder influence
• Data ethics, governance, and risk awareness
• Continuous improvement and innovation mindset

Success Measures

• Increased adoption of BI and AI-enabled insights across the enterprise
• Consistent, trusted, and explainable KPIs and AI outputs
• Improved time-to-insight and decision quality
• Strong governance, security, and audit outcomes
• Demonstrated business value from analytics and AI initiatives

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery-it is about shaping how AI is built, shared, and scaled across the company.

As part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators-reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.

A second core dimension of the role is knowledge leadership. Strategic hires will actively contribute to internal knowledge-sharing initiatives: technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction. In addition, members of this group will act as AI project jumpstarters, joining new client engagements for up to 50% allocation over 1-2 months. In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives.

Project Description

We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development.

Technologies

• Python
• Git, CI/CD practices for ML and data pipelines
• AWS and/or Azure
• PyTorch, TensorFlow
• MLflow
• LLMs and NLP tasks
• Generative AI concepts
• LangChain/LangGraph, LlamaIndex
• Qdrant, Pinecone, Weaviate, FAISS or similar
• RNNs, Transformers
• Dataset labeling, annotation tools (e.g., Label Studio, CVAT)
• Prometheus, Grafana, DataDog, OpenTelemetry
• YOLO, SDD
• Segmentation models
• Image Classification

What You'll Do

• Lead the design, development, and deployment of scalable ML services;
• Architect and implement AI/ML solutions, ensuring model quality, governance, and security;
• Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);
• Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;
• Mentor and guide junior engineers, promoting best practices in ML engineering;
• Develop and maintain documentation, ML models, and technical standards;
• Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
• Stay up-to-date with emerging trends and technologies in AI/ML field;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
• 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs;
• Strong proficiency in Python;
• Experience with cloud data platforms (AWS and/or Azure);
• Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;
• Experience with data governance, security, and compliance in cloud environments;
• Excellent problem-solving, communication, and leadership skills;
• English: Upper Intermediate level or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

This is Engineering at Lattice

Lattice’s Engineering team is continuously working to better both our product and our craft. We use a modern, cutting-edge tech stack and love experimenting with new technologies. We strive for maintainable, robust, and performant code. We’re highly collaborative and continuously iterative and work closely with designers and product managers. We prioritize not only great technical architecture but also an amazing product experience.

As a Data Platform Engineer, you will play a pivotal role in designing and maturing Lattice’s centralized data platform — starting with a modern data lakehouse built on AWS. This is an opportunity to be a founding member of a new team, build the backbone of our data ecosystem, and directly influence the intelligence and interconnectedness of our products.

You will architect and implement foundational data infrastructure that enables scalable storage, reliable data processing, and secure access across the organization. In addition to building the lakehouse itself, you will design and maintain a set of reusable connection and query utilities that empower internal stakeholders to interact with the platform efficiently and safely.

What You Will Do

• Standardize Lattice’s data infrastructure and practices through establishing a simple, cohesive, and reliable platform that seamlessly integrates internal and partner data
• Design, develop, and deploy scalable data pipelines that can ingest, process, and serve data across multiple teams for batch and streaming workloads.
• Make data effortlessly accessible – abstract infrastructure complexity through reusable SDKs, libraries, and tooling
• Shape data governance practices ensuring access to data is secure, compliant, and high-quality. 
• Partner with Engineering, Product, and business leaders to identify data needs and implement solutions that align with strategic objectives.

What You Will Bring to the Table

• 2+ years of experience in software, data, or analytics engineering with exposure to a centralized “data platform” or large-scale data infrastructure project.
• Fluency in SQL and a general purpose programming language; Python or TypeScript preferred
• Familiarity with a data warehouse/lakehouse platform e.g. Snowflake, Redshift, BigQuery, Databricks
• Familiarity with AWS services or their equivalents e.g. IAM, Glue, Lambda, Athena, Redshift, Kinesis, EKS
• Nice to have: Hands-on experience with data processing frameworks like dbt, Spark, Kafka Streams, or Flink
• Willingness to learn and curiosity into how trustworthy, insightful data can unlock value for our users

Location Requirement:
This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces.

The estimated annual cash salary for this role is CAD $90,000 - CAD $120,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Life, AD&D, and Disability Insurance; Natural Disaster Support Program; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Working Remotely Stipend; One time WFH Office Set-Up Stipend; Retirement Plan; Financial Planning; and Learning & Development Budget.

Note on Pay Transparency:
Lattice provides an estimate of the compensation for roles that may be hired as required by regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.

Lattice welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process.

#LI-Remote

At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we are able to deliver improved outcomes to our patients at a lower cost through early diagnosis and longitudinal care management of chronic conditions.

We’re looking for a Senior Machine Learning Engineer to help us build a revolutionary new health care business. Clover uses Machine Learning/Natural Language Processing to leverage our data to help keep beneficiaries healthy and out of the hospital by getting them targeted care. By predicting avoidable adverse events, our ML/NLP/LLM infrastructure is central to working on our central mission, and has a direct impact on our beneficiaries. You will help build systems and tools that support the data needs of a diverse organization and contribute to the expansion of the Machine Learning/Natural Language Processing/LLM capabilities of our Data Platform.

As a Senior Machine Learning Engineer, you will:

• Design, implement and validate high-reliability, distributed platforms for machine learning,  natural language processing, and LLMs.
• Create, debug, interpret and improve production machine learning and natural language processing models.
• Build the tools and validation processes that help Clover translate insights into action at scale.
• Use existing commercial and open source tools to create a robust production platform.
• Work closely with Clover's Data Science and Engineering teams to ensure that the ML/NLP/LLM Platform is providing real value.
• Document, iterate, and provide tutorials to ensure Data Scientists are able to use your tools easily.

You will love this job if:

• You want to create impact with your work by finding machine learning-driven insights in the data to unlock value and improve health outcomes for real people.
• You are comfortable acting autonomously in ambiguous and changing environments.
• You value collaboration and feedback. You can communicate technical vision in clear terms— to your teammates and across the technology team more broadly. You are willing and able to help your teammates grow by demonstrating best practices, providing (and receiving) respectful and constructive feedback, and disclosing your unique insights with everyone.
• You enjoy working in a fluid environment, defining priorities that adapt to our larger goals. You can bring clarity to ambiguity while remaining open-minded to new information that might change your mind.
• You are not hesitant to jump in to help fix things that are broken and you are encouraged to make sustainable systems. You are happy to fill in the gaps to reach a goal where necessary, even if it does not always fit your job description.
• You have a genuine interest in what good technology can do to help people and have a positive attitude about tackling hard problems in an important industry.

You should get in touch if:

• You have 5+ years of experience in Machine Learning Engineering roles in technology enabled companies. Healthcare experience preferred but not required.
• You have experience with Python, Python data science libraries (numpy, pandas, sklearn, tensorflow, pytorch, etc.), and deploying Python apps into production environments.
• You have experience with Natural Language Processing and/or LLMs.
• You have a solid foundation in feature engineering, feature selection, and machine learning techniques.
• You have experience interpreting, modifying, and debugging the inputs and outputs of production ML/NLP/LLM models.
• You have both built and refactored complex distributed systems, especially ML/NLP/LLM systems.
• You have scaled the impact of other engineers and data scientists through mentorship, development of reusable libraries, and documentation.

Benefits Overview: 

• Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
• Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
• Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. 
• Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

• Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
• Reimbursement for office setup expenses
• Monthly cell phone & internet stipend
• Remote-first culture, enabling collaboration with global teams
• Paid parental leave for all new parents
• And much more!

About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions.

Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care.

With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.

Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.

#LI-REMOTE

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

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

Fee Insights builds fee explainability experiences that help merchants and internal teams understand what they're paying and why. We tackle this through agentic systems that provide natural language explanations grounded in canonical fee data, self-serve tooling, and also experiences that help users reconcile and understand complex pricing at scale.

Fee transparency and explainability are critical to merchant trust and satisfaction. As Stripe's product portfolio and pricing complexity has grown, helping users understand their fees—and how they align with their contract and product usage—has become increasingly important. We're solving fundamental questions around fee transparency, building the foundations that will scale across Stripe's merchant base.

What you’ll do

As a Software Engineer on Fee Insights, you'll work on crafting billing-related experiences for both internal teams and external merchants. You'll partner closely with product teams to build reporting, dashboards, insights, and guided user journeys that help users interact with pricing and understand fees. You’ll be navigating one of Stripe's most complex domains, gaining deep end-to-end understanding of how Stripe works—from payments to pricing to billing.

Responsibilities

• Building and iterating on fee explainability experiences that empower users to find answers independently
• Developing agentic systems with strong accuracy guarantees—building evaluation frameworks and ensuring reliability at scale
• Creating performant data aggregations and optimizations to handle complex pricing scenarios
• Working across the stack: backend services, frontend experiences, data pipelines, and AI agents
• Collaborating with stakeholders across engineering, product, operations, finance, accounting, and sales
• Independently identifying solutions to user pain points and executing against roadmaps
• Mentoring junior engineers and raising the technical bar for the team

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

• 5+ years of professional experience in a software development role
• Strong coding skills in any programming language
• Ability to drive and lead large-scale initiatives that solve critical business challenges
• Strong collaboration skills across teams and workstreams
• Track record of developing and delivering high-quality software using industry best practices
• Ability to make effective tradeoffs that balance business priorities, user experience, and technical sustainability

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 large amount of work ahead of us. 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

At its core, Stripe is a treasury company, and the Treasury Finance team is key to building the Global Payments and Treasury Network (GPTN). We collaborate closely with product, engineering, sales, and finance teams to create innovative solutions that enhance Stripe’s financial capabilities. As part of Treasury Finance’s AI and Quantitative Analytics team, you’ll work at the intersection of finance, artificial intelligence, and product development, building autonomous agents and intelligent solutions that enhance treasury capabilities and enable us to better serve and scale with the global economy. 

What you’ll do

Within Treasury Finance AI and Quantitative Analytics, you’ll leverage your finance, artificial intelligence (AI) and technical expertise to  build intelligent solutions that enhance Stripe’s treasury capabilities. You’ll develop AI-powered tools and models, autonomous agents, and data products that automate complex workflows and provide actionable insights. Working at the intersection of artificial intelligence, finance, and product development, you'll collaborate with engineering and finance teams to deploy cutting-edge AI applications that scale with Stripe's growth and support our mission of increasing the GDP of the internet. 

You will:

• Apply your treasury and finance domain expertise to identify high-impact opportunities where AI can solve complex liquidity, financial risk management, and capital markets challenges
• Build AI-powered tools and artificial intelligence solutions to automate treasury workflows, enhance risk management, and scale our operations
• Design and deploy autonomous AI agents using frameworks like LangChain and LangGraph that can reason, plan, and execute complex multi-step problems and enhance decision-making processes
• Ship interactive data products and self-service analytics tools using Python frameworks (Streamlit, Dash, Gradio) that provide real-time insights and actionable intelligence
• Work across Treasury Finance and partner teams to scope AI-driven solutions that allow us to optimize and scale our most complex, data-driven financial workflows 
• Explore and prototype cutting-edge AI applications to address emerging treasury challenges

Who you are

We’re looking for a technical problem-solver with treasury and finance expertise who’s excited about leveraging artificial intelligence and 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

• Bachelor’s degree in finance, mathematics, computer science, engineering or a related field with 5+ years of work experience in software development, data science, or treasury/finance roles 
• Working familiarity with financial risk and capital markets concepts
• Proficiency in Python and experience with AI/ML frameworks including PyTorch and TensorFlow
• Experience with Large Language Model (LLM) frameworks such as LangChain, LangGraph, or similar tools for building AI applications and agentic systems
• Solid understanding of AI fundamentals, including deep learning, natural language processing, and generative AI
• Results-oriented, with a focus on delivering impact in a fast-paced environment 
• Excellent communication skills for collaborating with product, engineering, and finance teams
• Highly organized, with attention to detail and the ability to manage tight deadlines

Nice to have

• • Familiarity with the payments industry and fintech landscape
  • Experience with Databricks and cloud platforms (AWS, GCP, Azure) 
  • Software engineering experience in Ruby

Stripe is looking for an exceptional transactional lawyer to join our commercial legal team supporting our fast growing business in APAC. 

Stripe is a global technology company that builds infrastructure for online commerce with a mission to increase the GDP of the internet. Not only do we handle billions of online transactions each year, Stripe is forging new paths in global commerce including the use of cryptocurrencies and stablecoins, and agentic commerce. Our innovative suite of SaaS offerings enable millions of users around the world, from entrepreneurs to multinational enterprises and online marketplace platforms, to build their businesses, establish global reach, scale faster and operate more efficiently. And we are just getting started! 

In this role, you will:

• Support the APAC Sales team, leading negotiations for complex and strategic agreements;
• Advise on a wide range of commercial and legal issues, including launch of new products to Stripe users and support international expansions;
• Be an integral part of the build out of Stripe’s commercial legal infrastructure so that we can scale and operate efficiently at pace with Stripe’s exponential growth - this work includes drafting and maintaining Stripe’s agreements and playbooks, leading and contributing projects to improve internal processes, leveraging AI tooling to optimize how we work and collaborate with our clients, partners and users; 
• Partner with teams across Stripe globally, including sales, operations, product, tax, risk groups, and others;
• Help the entire team drive scaled support and efficiency, working collaboratively in a global team to maximize the overall impact of the Commercial Legal team;
• Develop and deliver training and other resources to help the Sales team sell our products; and
• Be a point of escalation for outside counsel.

The person we are looking for is:

• Intellectually curious and a creative problem solver - Stripe’s products and our industry are complex and ever evolving - you should relish learning new products and finding creative solutions to challenging problems;
• A self starter with a bias for action - you are proactive and have a strong sense of ownership; 
• A clear and concise communicator (in written and verbal forms), who can distill the key risks and explain complex, nuanced issues in plain and simple terms; 
• A natural collaborator, able to guide cross-functional teams and drive to a win-win solution;
• Familiar with the range of legal issues and commercial risks that arise in connection with hosted data and technology services;
• A team player who is willing to do what it takes to contribute to the collective success; and
• Qualified in at least one APAC region with a law degree or equivalent
• 7+ years of relevant experience in-house or in a technology practice group in a top law firm.

It would be preferable but not essential for you to have:

• Fluency in mandarin and experience supporting the greater china region;
• Experience working in payment or fintech industries and knowledge of associated regulatory issues;
• In-house experience advising high growth companies; 
• Working knowledge on how to use LLM tools;
• Experience in improving legal processes with AI technology; and
• A working knowledge of data protection laws 

We are committed to building an inclusive work environment where all Stripes feel welcomed as their authentic selves—inclusive of all genders, sexual orientations, ethnicities, races, education, ages, and other personal characteristics. We work on broadening our internal diversity because we want to be culturally equipped to build products and solutions for our diverse user base.

To apply:

Please include your resume and LinkedIn profile

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

As Commercial Counsel primarily supporting Stripe’s Stablecoin & Crypto team, you will lead complex commercial and contractual negotiations, advise on product launches, and help scale Stripe’s legal and operational infrastructure. You will work closely with Sales, Product Legal, Partnerships, Risk, Tax, Operations, and external counsel to enable safe, compliant, and commercially sound growth of Stripe’s crypto, stablecoin, and wallet offerings.

We are committed to building an inclusive work environment where all Stripes feel welcomed as their authentic selves—inclusive of all genders, sexual orientations, ethnicities, races, education, ages, and other personal characteristics. We work on broadening our internal diversity because we want to be culturally equipped to build products and solutions for our diverse user base.

What you’ll do

Responsibilities

• Support the Sales team, with particular focus on Stripe’s Stablecoin & Crypto team, leading negotiations and advising on a wide range of commercial and legal issues
• Work closely with Product Legal to bring new products and features to market, including drafting service terms and providing contractual, commercial, and user-experience advice for launches
• Be an integral part of the build out of Stripe’s commercial legal infrastructure to enable scalable, efficient operations in line with Stripe’s growth. This includes advising on the contractual integration of services provided by Stripe’s cryptocurrency, stablecoin, and wallet infrastructure acquisitions (including Bridge and Privy), drafting and maintaining agreements and playbooks, and leading or contributing to projects that improve internal processes and operational efficiencies, including by leveraging AI tooling
• Partner with teams across Stripe, including Sales, Partnerships, Operations, Product, Tax, and Risk groups, to align legal solutions with business priorities
• Serve as a proactive and strategic business partner to senior managers and act as a trusted advisor on commercial strategy and risk
• Develop and deliver training, playbooks, and other resources to help the Sales team sell our products confidently and compliantly
• Act as a point of escalation for outside counsel and manage outside counsel relationships when matters require external expertise

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

• Intellectually curious and a creative problem solver: you relish learning new products and finding creative solutions to complex and evolving legal and commercial problems
• Exceptional drafting skills, with experience in creating services terms or SaaS agreements in addition to deal negotiation drafting
• A self-starter with a bias for action: you are proactive and take ownership to move matters forward
• A clear and concise communicator (written and verbal): you can distill key risks and explain nuanced issues in plain, simple terms for commercial and technical stakeholders
• A natural collaborator: you can guide cross-functional teams toward practical, win-win outcomes
• Familiar with the legal issues and commercial risks arising in connection with hosted data and technology services
• Passionate about technology and able to understand complex business models and product use cases quickly
• A team player willing to do what it takes to contribute to collective success
• Qualified with good standing membership in at least one US state bar with a JD or foreign equivalent
• 6+ years of relevant experience in-house or in a technology practice group at a top law firm

Preferred qualifications

• Direct experience advising on, drafting service terms for, and negotiating transactions involving cryptocurrency, stablecoin, or traditional money-movement products, particularly on a global basis
• Experience in payments or fintech and familiarity with related regulatory frameworks
• Working knowledge of LLM tools and experience in improving legal processes with AI technology
• Prior in-house experience advising high-growth technology companies
• Working knowledge of data protection and privacy regimes such as CCPA, GDPR, and HIPAA

Who we are

About Stripe

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

About the team

The Support Experience engineering organization builds and improves Stripe’s user support from end to end: how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions. We’re accountable for the quality and reliability of this support stack and we use data and firsthand user research to continuously improve it. 

Providing great support to users of all sizes is culturally important to everyone at Stripe. We are a group of friendly, user-oriented engineers that partner closely with Stripe’s world-class design, product, and operational teams. This includes the external-facing support interfaces (support.stripe.com), content, entry points, internal tooling, case routing, and helping product teams across the company reduce support volume by improving our products. We are also using the latest generative AI technologies to re-imagine support experiences, and are developing AI assistants for Stripe’s users and internally to help our operations teams be more productive.

What you’ll do

As a Machine Learning Engineer on the Support Experience team, you'll play a crucial role in enhancing our self-serve support experiences. You will be responsible for designing, building, training, evaluating, deploying, and owning ML models in production. For example, we apply LLMs to answer user questions with conversational agents and personalize product documentation, and are building automated systems to solve complex user problems. You will work closely with software engineers, machine learning engineers, product managers, and data scientists to operate Stripe’s ML powered systems, features, and products. You will also have the opportunity to contribute to and influence ML architecture at Stripe and be a part of a larger ML community. 

Responsibilities

• Design  and implement state-of-the-art ML models and large scale ML systems for enhancing self-serve support capabilities, balancing ML principles, domain knowledge, and engineering constraints
• Develop and optimize contextual conversation models and ML-powered resolution flows for common support scenarios, using tools such as PyTorch, TensorFlow, and XGBoost
• Create and refine pipelines for training and evaluating models in both offline and online environments, with a focus on improving support quality and user satisfaction
• Implement ML features that streamline information collection and processing for support agents, enhancing overall support efficiency
• Collaborate with product, strategy, and content teams to propose, prioritize, and implement new AI-driven support features and improve answer capabilities
• Stay current with the latest developments in ML/AI, particularly in natural language processing and conversational AI, and apply innovative ideas to improve support experiences

Who you are

We are looking for ML Engineers who are passionate about building ML systems that touch the lives of millions. You have experience developing efficient feature pipelines, building advanced ML models, and deploying them to production. You are comfortable with ambiguity, love to take initiative, have a bias towards action, and thrive in a collaborative environment.

Minimum requirements

• Bachelor's Degree in ML/AI or related field (e.g. math, physics, statistics)
• 3+ years in AI/ML and backend engineering, including building and operating production ML systems at global scale with stringent SLOs—balancing reliability, latency, and cost—with privacy, security, and compliance by design.
• Deep and up-to-date applied LLM experience: RAG/embeddings, tool use/function calling, agentic planning/orchestration architectures, post-training methods, code generation, benchmarks and evaluations, etc. Familiarity with classical ML methods and common frameworks e.g. Pytorch, TensorFlow.
• Proficient in Python; strong distributed systems and data science fundamentals.
• Experience working closely with product management, design, other engineers, and other cross-functional partners.
• Strong technical leadership and communication: mentoring and elevating engineers, elevating AI/ML awareness and posture within organizations, setting architectural direction, and driving alignment in ambiguity.

Preferred qualifications

• MS/PhD degree in ML/AI or related field (e.g. math, physics, statistics)
• Experience working in Java or Ruby codebases
• Experience designing, deploying, and owning Agentic LLM solutions (e.g., multi-step orchestrators, tool use/function calling) specifically for complex customer support or internal workflow automation.
• Comfortable working with distributed teams across multiple locations and time zones

SPACE SYSTEMS

At Rocket Lab, we’re not just launching rockets — we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more.

Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it’s a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space — our world class Space Systems team is empowering some of the boldest and most ambitious space missions. 

SENIOR SOFTWARE ENGINEER I/II – AI ENGINEERING

Are you passionate about advancing aerospace technology through cutting-edge software solutions? We're looking for a driven Senior Software Engineer I/II to join our AI Engineering team, based out of our Littleton, CO site. You will play a pivotal role in developing AI-driven tools and applications, including those leveraging Large Language Models (LLMs) and advanced machine learning techniques. This role offers the opportunity to work on innovative projects that integrate AI applications to enhance aerospace systems, including simulation accuracy, decision-making, and automation.

You’ll be part of a collaborative team, contributing to all phases of AI-driven software development—from requirements definition and design to coding, testing, and deployment. Our projects focus on applying AI and machine learning to solve complex aerospace challenges.

WHAT YOU’LL GET TO DO:

• Build AI-driven applications and integrate Large Language Models (LLMs) to enhance simulation accuracy, decision-making, and automation.
• Develop and deploy machine learning models using frameworks like TensorFlow or PyTorch.
• Collaborate with cross-functional teams to identify opportunities for AI integration into aerospace systems.
• Optimize AI applications for performance, scalability, and reliability in large-scale simulations and data processing.
• Conduct research and development to apply LLMs for aerospace-specific use cases, such as simulation, predictive modeling, or automated system configuration.
• Participate in design reviews (e.g., PDR, CDR) and contribute to the refinement of system requirements and technical specifications.
• Conduct code reviews to ensure adherence to company coding standards and best practices.

(Please note: This position can be hired at the Senior Software Engineer I or Senior Software Engineer II level.)

QUALIFICATIONS YOU’LL BRING AS SENIOR SOFTWARE ENGINEER I:

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.
• 5+ years of professional experience in software development, with a focus on AI applications or machine learning.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and integrating ML models into software systems.
• Experience working with Large Language Models (LLMs) and AI applications for natural language processing, automation, or decision support.
• Proficiency in C#/.NET and Angular (or similar frontend frameworks like React or Vue).
• Strong understanding of relational databases (e.g., MySQL, SQL Server, SQLite).
• Solid grasp of object-oriented programming principles and design patterns.
• U.S citizenship is required, due to program requirements

QUALIFICATIONS YOU’LL BRING AS SENIOR SOFTWARE ENGINEER II:

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical discipline.
• 8+ years of professional experience in software development, with a focus on AI applications or machine learning.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and integrating ML models into software systems.
• Experience working with Large Language Models (LLMs) and AI applications for natural language processing, automation, or decision support.
• Proficiency in C#/.NET and Angular (or similar frontend frameworks like React or Vue).
• Strong understanding of relational databases (e.g., MySQL, SQL Server, SQLite).
• Solid grasp of object-oriented programming principles and design patterns.
• U.S citizenship is required, due to program requirements

THESE QUALIFICATIONS WOULD BE NICE TO HAVE:

• Master's or PhD in Computer Science, Computer Engineering, or a related technical field.
• Experience with Docker/Kubernetes for containerization and orchestration.
• Knowledge of network programming (e.g., Sockets, WebSockets) for real-time data exchange.
• Familiarity with Git and modern version control workflows.
• Experience working in Agile/Scrum environments and contributing to iterative development cycles.
• Advanced knowledge of Angular NgRx or other state management libraries.
• Experience applying LLMs for aerospace-specific use cases, such as simulation, predictive modeling, or automated system configuration.
• Strong problem-solving skills and the ability to debug complex systems.
• A team-oriented mindset with excellent communication skills and a positive attitude.

ADDITIONAL REQUIREMENTS:

• Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and the ability to focus
• Regularly required to sit, use hands and fingers, operate computer keyboard and controls, and communicate verbally and in writing
• Must be physically able to commute to buildings 
• Occasional exposure to dust, fumes and moderate levels of noise

Role Summary

We’re looking for a Digital Content & AI Automation Manager to lead our transition to 'Vibe Marketing.' Inspired by the shift toward Vibe Coding, we want to bridge the gap between creative intent and digital execution. You’ll move Okta away from manual tickets and rigid CMS forms toward an agentic, self-service model—building the tools that allow marketers to describe a goal in natural language and see it manifest across our digital ecosystem.

This is a test, learn, build, iterate role. You aren't just managing a stack; you’re building an autonomous engine that empowers every marketer to be a creator.

What You’ll Actually Do

• Build the "Vibe Marketing" tools: Create the workflows and agentic layers that allow non-technical stakeholders to manage and scale digital content across its entire lifecycle using natural language and AI assistance.
• Develop Agentic Support Models: Prototype and deploy AI agents that act as "co-pilots" for Marketing Managers—handling everything from automated tagging and metadata to complex distribution across our headless ecosystem.
• Architect Self-Service Systems: Reduce the "time-to-live" by building modular, reusable content structures that agents can manipulate, moving us beyond the constraints of traditional platforms like Adobe Experience Manager.
• Operate Like a Lab: Run rapid experiments with emerging AI tools and automation platforms. Build scrappy prototypes—not just strategy decks—to prove that "vibe-based" creation works at enterprise scale.
• Partner Across Teams: Bridge the gap between "what if" and "here’s how," working with Marketing, Engineering, and Digital teams to turn agentic concepts into production-ready workflows.

What We’re Looking For

• The "Vibe" Mindset: You understand the shift from "doing the work" to "directing the agents." You’ve followed the Vibe Coding movement and are itching to apply it to Marketing Tech.
• 4–8 Years of Experience: You’ve seen the limitations of legacy CMS architectures and are ready to bypass those bottlenecks by building a modern, agent-led content supply chain.
• Hands-on AI & Automation: You don't just prompt; you build. You have experience with APIs, MCP, LLM orchestration, and connecting tools to create seamless loops.
• Technical Fluency: You aren't a full-stack engineer, but you understand how to navigate enterprise complexity—you're comfortable with structured content, and the logic of how data flows between a headless CMS, an LLM, and the front-end.

#LI - Hybrid

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

Overview: EvolutionIQ is developing a cutting-edge Artificial Intelligence (AI) based product designed to enhance efficiency and accuracy for Workers' Compensation Adjusters. We are seeking highly experienced, Subject Matter Experts (SMEs) to partner with our Product and Engineering teams in the development of that product. The primary role of the SME will be to provide expert validation, feedback, and real-world context on the product's features, user experience, and the quality/relevance of the AI-generated outputs.

Key Responsibilities

• AI Output Validation: Critically assess the accuracy, relevance, completeness, and practical utility of the AI-generated summaries, recommendations, and data extractions against source medical documents (e.g., Provider Visit Notes, Attending Physician Statements, Medical Bills, etc.)
• Product Evaluation: Actively use and evaluate pre-release versions of the product’s features, leveraging your knowledge of claims handling and decision-making processes that [examiners/ adjusters] have.
• Data Labeling: Accurately and consistently label medical information within insurance claims data. This includes identifying key medical facts, diagnoses, treatments, and other relevant details.
• Prompt Editing: Leveraging claims-handling expertise to edit LLM prompts (no technical experience required for this).
• Workflow Insight: Provide detailed feedback on how the product integrates into existing daily claims management workflows, identifying pain points and opportunities for improvement.
• User Experience (UX) Input: Offer constructive criticism on the product's user interface and overall user experience to ensure it is intuitive for claims professionals.

Required Qualifications

• Professional Experience: Ideally 1-5+ years of recent, hands-on experience as a Worker’s Compensation, Lost Time Claims Adjuster (Bodily Injury/Liability focus).
• Technical Aptitude Comfortable working with computers and learning new software applications. Familiarity with data labeling tools or natural language processing (NLP) is a plus but not required.
• Critical Thinking: Exceptional ability to review complex documentation (medical, legal, financial) and critically evaluate the key pieces of information buried within and relevance.
• Communication Skills: Excellent written and verbal communication skills, with the ability to articulate feedback clearly to a non-claims audience (product and engineering team).
• Attention to Detail: Meticulous attention to detail and a commitment to accuracy in evaluation and validation of output.

Preferred Qualifications

• Experience in training, mentoring, or process improvement roles within a claims environment.
• Specific experience using AI or automation tools in a professional setting.

Compensation & Perks: This opportunity is part of a paid user research project focused on Workers’ Compensation claims expertise. Compensation will vary based on participation level, experience, and scope of involvement. Hours may increase depending on business needs. This project offers a unique opportunity to collaborate with a rapidly scaling AI Insurtech SaaS company.

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

itD is seeking a Project Manager to lead execution of global supply chain planning transformation initiatives, with a strong emphasis on leveraging Artificial Intelligence (AI) to enhance planning processes, improve decision-making, and deliver measurable business value. This role plays a key part in shaping the company's future supply chain planning capabilities by driving cross-functional delivery, ensuring alignment to strategic objectives, and enabling innovation across a complex global environment. The ideal candidate will bring strong project management expertise, experience delivering large-scale cross-regional initiatives, and familiarity with AI-driven transformation efforts.

Location: Remote anywhere in the United States (preference for RTP or SJC campuses)

We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.

Responsibilities:

• Lead end-to-end execution of projects across multiple global teams to deliver approved outcomes
• Develop, maintain, and manage detailed project plans including schedules, resources, and budgets
• Coordinate global supply chain planning operations across cross-functional stakeholders
• Manage vendor accountability and ensure delivery aligns with project scope and expectations
• Track project progress, identify risks, and implement corrective actions as needed
• Facilitate stakeholder communications and manage expectations across global teams
• Utilize project management tools such as Microsoft Project Online, Asana, Miro, Jira, or similar platforms to track and report status

Internal Responsibilities:

• Attend regular internal practice community meetings
• Collaborate with your itD practice team on industry thought leadership
• Complete client case studies and learning material (blogs, media material)
• Build out material to contribute to the Digital Transformation practice
• Attend internal itD networking events (in person and virtual)
• Work with leadership on career fast-track opportunities

Required Qualifications and Skills:

• 3+ years of experience in project management delivering complex, cross-functional, multi-region projects
• Strong organizational, leadership, and stakeholder management skills
• Experience managing project timelines, budgets, and execution across global teams
• Proficiency with project management tools such as Microsoft Project Online, Asana, Miro, or Jira
• Strong communication, analytical, and problem-solving skills
• Experience working in structured project delivery methodologies (Agile, Waterfall, or hybrid)
• Bachelor’s degree in Business, Supply Chain Management, Engineering, Computer Science, or a related field

Preferred Qualifications and Skills:

• Experience supporting or leading AI-driven transformation initiatives
• Familiarity with AI concepts including machine learning, predictive analytics, and natural language processing
• Experience in supply chain planning environments including demand forecasting, supply planning, inventory management, or S&OP
• Experience working within large-scale global transformation programs
• Ability to influence and align stakeholders across diverse global teams and cultures

Education:

• Bachelor’s degree in Business, Supply Chain Management, Engineering, Computer Science, or a related field required; equivalent work experience considered

Position Summary: 

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer.  We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. 

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. 

Responsibilities: 

• Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. 

• Develop and maintain backend services using Python, focusing on AI-driven applications. 

• Design and implement APIs for seamless integration with AI models and services. 

• Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development 

• Participate in code reviews, testing, and quality assurance processes. 

• Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. 

• Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. 

• Document and communicate development processes and implementation details with peers and supervisors 

• Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. 

Required Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. 

• 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus. 

• Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.  

• Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. 

• Proficiency in Python and familiarity with ML libraries such as PyTorch. 

• Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus. 

• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. 

• The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. 

• Good written communication skills that enable collaboration in a remote environment. 

Position Summary: 

Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Machine Learning Engineer.  We are looking for a software engineer with machine learning expertise to join us in expanding our AI capabilities, enabling increased productivity and magical experiences in our products and services. 

In this role you will be expected to design and implement complex AI systems that leverage ML models for NLP, NLG, multimodal data analysis, chatbots, and RAG-based QnA. The ideal candidate should be passionate about applying AI/ML concepts to difficult problems and develop scalable solutions. We want people who like working in a collaborative team environment and enjoy creating practical, efficient, and high-performance software that leverages Large Language Models (LLM), Multimodal Language Models(MLM), and other ML models and techniques to build amazing capabilities for our customers, partners, and employees. Most importantly, we are a mission-oriented, high-growth startup and we are looking for folks that are excited to be part of our journey to make lasting impact towards transforming healthcare. 

Responsibilities: 

• Develop and productionize machine learning (ML) solutions in the fields of Document understanding, Search and QnA, GenAI, Virtual Agents, etc. 

• Develop and maintain backend services using Python, focusing on AI-driven applications. 

• Design and implement APIs for seamless integration with AI models and services. 

• Develop tools for large-scale data processing and ETL and contribute to extracting insights from data to help guide ML systems development 

• Participate in code reviews, testing, and quality assurance processes. 

• Troubleshoot and resolve technical issues related to AI model, integration, deployment and backend services. 

• Develop algorithms to ensure the integrity and robustness of ML solutions by developing automated testing and validation processes. 

• Document and communicate development processes and implementation details with peers and supervisors 

• Ensure the security and compliance of healthcare data, adhering to HIPAA regulations. 

Required Qualifications: 

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related quantitative field. 

• 2+ years experience in the industry with a strong focus on ML solutions development and production deployment is a plus. 

• Good understanding of Machine Learning fundamentals such as Deep Neural Networks, Transformer-based LLM and MLMs, Boosted or standard decision trees, RAG, etc.  

• Strong grasp of OOP, Design Patterns, efficient algorithms, and quality software development. 

• Proficiency in Python and familiarity with ML libraries such as PyTorch. 

• Familiarity with GenAI services such as OpenAI GPT, Anthropic Claude, Google Gemma etc. Some experience in developing and fine-tuning prompts on any of the GenAI services is a plus. 

• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking. 

• The ability to work collaboratively across multiple disciplines in an extremely fast-paced, startup environment. 

• Good written communication skills that enable collaboration in a remote environment. 

CircleCI Associate Rotation Program (CARP) — Cohort 2

Ship Smarter. Build Faster. Join the team that makes AI-written code actually work.

AI is writing code. A lot of it. But generating code and shipping reliable software are two very different things, and that gap is exactly where CircleCI lives. We're the CI/CD backbone that ensures AI-generated code gets tested, validated, and deployed safely at scale. If you want to build critical infrastructure at the intersection of AI and DevOps, you've found your people.

What is CARP?

The CircleCI Associate Rotation Program is a 12-month, 2-rotation deep-dive into engineering at a company where AI isn't a buzzword…it's the job! You'll rotate through real teams, own real work, and build real things that engineers at companies like yours use every single day. No coffee runs. No shadowing. Actual building.

You’re not just a builder, you’re an advocate. The future of work includes not just the ability to build alongside AI, but speak to the future among your peers and customers. Your work doesn’t end with your deliverable, it continues with your own feature, data, or product communication and advocacy!

12 months · 2 rotations · 1 career-defining move

Real Work. Real Impact.

Don't take our word for it — here's what Cohort 1 actually shipped:

• GTM & Customer Success: Built an AI enablement framework adopted by our Customer Success org, led cross-functional data alignment sessions at GTM events, and contributed directly to the FY26 account accuracy used by the Sales team.
• Product Engineering: Shipped a customer-facing credit comparison tool — available to users across all plans — that surfaces spending trends across billing periods. Real customers, real usage, from day one.
• Platform Engineering: Defined how CircleCI natively manages iOS code signing certificates, partnering across Engineering, Design, and Product to scope and deliver a foundational capability for mobile CI customers.
• Data & ML Engineering: Built a more reliable AI/ML signal flag that's now driving smarter customer engagement decisions and informing product roadmap prioritization across the org.
• Product Engineering: Shipped production features end-to-end — from implementing nav bar updates to building an entirely new CLI tool (Chunk CLI) that customers use in their workflows today.
• Revenue & Sales Ops: Analyzed historical lost deal data and built an AI-powered pipeline hygiene report that helps sales reps prioritize the deals most likely to convert — from raw data to a tool the Revenue team relies on.

You're the one if...

• You think of AI as a collaborator, not a threat
• You thrive in ambiguity and you see an unclear problem and think "ooh, interesting" not "I'll wait for instructions"
• You move fast, iterate faster, and ask for forgiveness over permission
• You have strong opinions, loosely held and you can defend your ideas in a room full of sharp engineers
• You're a recent grad ready to define what software development looks like in the AI era
• You genuinely love building things and want to see your work used in production, not a slide deck

The Engineering Track

This cohort is built for engineers. You'll rotate across our core technical teams, the folks keeping millions of builds humming and building the AI-native features that are changing how developers work. Here's what your rotation menu looks like:

🏗 Platform Engineering The foundation everything else runs on. You'll work on the systems that handle millions of AI-generated commits at a scale most engineers never get to touch.

• Design and build infrastructure that validates AI-written code at machine speed
• Work on intelligent resource allocation that adapts dynamically to AI workload patterns
• Help make sub-second response times the norm, not the goal
• Debug problems that literally no textbook covers yet

⚙️ Product Engineering Where the user-facing magic gets made. You'll build features that developers interact with every day, powered by AI, designed for speed.

• Build AI-powered features that predict build failures before they blow up
• Create natural language interfaces so developers can configure pipelines through conversation
• Ship seamless integrations with AI coding assistants like Cursor, Copilot, and Claude
• Turn vague product ideas into shipped code fast

📊 Data & ML Engineering Billions of build events. Real-time. You'll build the data systems that surface the insights our customers and product teams can't live without.

• Build pipelines processing billions of AI-generated build events in real time
• Develop ML models that identify patterns in how AI agents write, test, and break code
• Create analytics products that help customers understand their AI-augmented dev velocity
• Turn raw signal into decisions that actually move the needle

We Take AI Fluency Seriously

Not "have you used ChatGPT" seriously. We're talking about engineers who understand AI as a development paradigm, not just a productivity shortcut. Here's what being AI-fluent looks like at CircleCI:

• Use AI tools natively in your workflow — You prompt, iterate, and ship with AI assistance as a default, not an afterthought
• Understand the limitations — You know when AI-generated code needs extra scrutiny and why that matters at scale
• Think about AI as a system actor — You can reason about autonomous agents interacting with DevOps infrastructure
• Stay curious about what's next — The AI landscape changes weekly — you're keeping up, not catching up

What You Get

The Money & Gear

• $105,000 salary
• MacBook Pro + full tech stack access
• Latest AI tool subscriptions, including Cursor, Claude, and whatever comes out next that's worth it
• Health, dental, vision, unlimited PTO, wellness perks

The Growth

• Production AI/ML systems experience (not toy projects, real scale)
• Mentorship from engineers who've been building in this space before it was cool
• A network inside the AI + DevOps ecosystem that will follow you everywhere
• A genuine shot at a full-time role after your rotations wrap up

FAQs

Can I extend my rotation? Yes! During your second rotation, we'll explore whether additional 6-month rotation opportunities make sense for you and the team.

Is there a path to full-time? Absolutely. Based on your contributions and growth, we actively discuss full-time indefinite placement. We want to keep people who want to stay.

Do I have to be in San Francisco? Yes — this is an in-person role. You'll be in our SF headquarters at least Tuesday, Wednesday, and Thursday each week. We believe in the energy of working alongside your team, especially early in your career.

Ready?

By 2030, most code will be AI-generated. The question is who ensures it actually works. That's us. Come build it with us.

Program Dates: August 3, 2026 - July 30, 2027 

Location: San Francisco, CA (in-person; AI still needs humans nearby) 

Application Deadline: June 30, 2026

About Acquia

Acquia empowers the world’s most ambitious brands to create digital customer experiences that matter. With open source Drupal at its core, the Acquia Digital Experience Platform (DXP) enables marketers, developers, and IT operations teams at thousands of global organizations to rapidly compose and deploy digital products and services that engage customers, enhance conversions, and help businesses stand out.

Headquartered in Boston, MA, Acquia is a Great Place to Work-CertifiedTM company, is listed as one of the world’s top software companies by The Software Report, and is positioned as a market leader by the analyst community. We are Acquia. We are building for the future and we want you to be a part of it! 

Career Exploration at Acquia 

Our recruitment process is designed to empower you in making the most informed decisions. Acquia is committed to providing an inclusive, transparent, efficient, and educational interview experience that cultivates exploration into career opportunities at Acquia

You will discover the opportunity to grow your career here and learn from a global team that empowers you to exceed boundaries and achieve the extraordinary.

About the Role

Acquia is hiring a practitioner-evangelist who lives at the intersection of digital marketing and vibe coding. You are not a traditional developer advocate. You are someone who creates compelling digital experiences and who can show others how Drupal and Acquia make that possible.

This role exists because Acquia's future depends on being relevant to audiences beyond the Drupal community. Digital marketers and vibe coders are building the next generation of web experiences, and we need someone who speaks their language, earns their trust, and shows them what Drupal can do for them. In the process, you will bring a whole new wave of practitioners into the Drupal ecosystem.

Critically: this is a doer role. We are not looking for someone who talks about building things. We need someone who builds things live, on camera, in tutorials, in demos. Your content is the proof.

What You'll Do

• Represent Acquia and Drupal to digital marketers and vibe coders through content, social, events, and community as a practitioner, not a spokesperson.
• Actively demo and build with Acquia products on camera and on stage. Product demos and hands-on tutorials are the core of what you produce. If you are not comfortable being the one building the thing in front of an audience, this is not the right role.
• Create high-quality, practitioner-level content like videos, demos, tutorials, live streams, and social posts targeted at non-Drupal audiences and published consistently.
• Show up where digital marketers and vibe coders already are: industry events, YouTube, Reddit, Discord servers, LinkedIn, Slack communities. You are already in these spaces; this role formalises it.
• Speak at events outside the Drupal circuit marketing, no-code, content ops, and AI-assisted development conferences and meetups.
• Collaborate with the broader dev rel team to ensure messaging is consistent and complements our Drupal-focused advocate.
• Surface market insight to Product and Marketing on what this audience cares about, what tools they use, and where Acquia can serve them better.

What You Bring

• You are a digital marketer, content creator, or vibe coder by trade. You have done the work and you continue to do it.
• An existing portfolio of dev rel or practitioner content that you can share: videos, tutorials, demos, talks, or written guides. We will review your work before we meet.
• An active public presence. You already attend and speak at relevant events, post on YouTube or social, and engage in communities where your target audience lives.
• Familiarity with Drupal: you don't need to be a core contributor, but you understand what it is, what it can do, and you are excited to build with it in front of an audience.
• Hands-on comfort with the tools of your audience: marketing automation, CMS platforms, AI-assisted coding tools, or no-code builders and the ability to demo them fluently.
• Strong on-camera and on-stage presence you are a natural whether you are recording a tutorial, going live, or presenting at a conference.
• Self-directed with an entrepreneurial mindset you can identify an opportunity, build a content plan, and execute without hand-holding.

Nice to Have

• Experience with AI-assisted development tools (Cursor, Replit, v0, Bolt, etc.) and genuine familiarity with the vibe coding movement.
• A YouTube channel, newsletter, podcast, or social following in a relevant space and a track record of consistent publishing.
• Experience at a CMS, DXP, or martech company.

We are an organization that embraces innovation and the potential of AI to enhance our processes and improve our work. We are always looking for individuals who are open to learning new technologies and collaborating with AI tools to achieve our goals.

Acquia is proud to provide best-in-class benefits to help our employees and their families maintain a healthy body and mind. Core Benefits include: competitive healthcare coverage, wellness programs, take it when you need it time off, parental leave, recognition programs, and much more! 

The annual base salary for this full-time position is $175000 - $190000. Final compensation will be commensurate with your experience and will be determined by a variety of factors, including city of residence, relevant skillset, and job-related knowledge.

Acquia is an equal opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veterans status or any other protected status or characteristic under federal, state or local law unrelated to the ability to perform the job.

Interested residents of Colorado may contact NA-recruiting@acquia.com as it relates to regulation C.R.S. § 8-5-201. Information regarding benefits are linked here.

The Opportunity at Mavens, a Komodo Health Company:

The AI Enablement Lead is the connective tissue between Mavens' ambitions and AI's practical potential. In this role, you'll embed yourself in every team's workflows — learning how they work, where they get stuck, and what would make them faster — then build and deploy AI solutions that compound across the organization. You'll drive adoption, build capability, and help Mavens become a truly AI-first business unit.

Looking back on your first 12 months at Komodo Health, success looks like…

• Every team at Mavens has >80% of their work automated or accelerated with AI
• Strong adoption rates across AI tools, with low variance across teams (no team left behind)
• Proven AI workflows have been handed off to the Head of Quality and embedded in delivery standards
• Clearly recognizable productivity and quality gains attributable to AI implementation
• A culture of rapid AI experimentation

These are the essential job duties you will be responsible for …

• AI Adoption and Implementation: Sit down with every team across Mavens, understand how their work actually gets done, and build automations that eliminate the manual, repetitive, and slow parts. This is hands-on work — prompt engineering, agent configuration, workflow automation — not advisory.
• Culture and Fluency: Evangelize AI across Mavens — make the wins visible, build excitement, and create a culture where people are actively looking for the next thing to automate.
• Tool Adoption and Training Drive fluency and adoption of our core AI tools. Partner with the training team to design and deliver content, templates, and playbooks that help every team member build AI fluency. Reduce friction and resistance by making the value tangible and immediate.
• Measurement and Iteration: Track adoption, time savings, and quality improvements across teams. Report regularly on what's working, what isn't, and where the next highest-value opportunities lie.
• Standards Handoff to Quality: As AI workflows prove out, partner with the Head of Quality to translate them into delivery methodology, playbooks, and engagement standards. This role drives adoption and experimentation; Quality drives consistency and enforcement.
• Expert advisory: Share expertise internally and externally. Guide the Mavens engineering and delivery teams on where AI can be leveraged in Mavens products. Advise Mavens customers directly on AI opportunities, implementation, and guardrails.

What you bring to Mavens (required):

• Deep understanding of core AI concepts and technical foundations (e.g. how LLMs work).
• Deep experience leveraging Claude - Cowork, Code, etc - and automating workflows. 
• At the forefront of AI innovation — constantly experimenting with new releases and tools.
• Hands-on technical fluency with AI tools (prompt engineering, workflow automation, agent configuration) — can build, not just advise.
• Strong change management instincts and natural evangelism; knows how to make AI feel exciting, not threatening, and bring skeptics along.
• Clear communicator who can translate technical capability into plain-language value for non-technical teammates.
• Self-directed and comfortable operating without a playbook in a fast-moving environment.
• Comfort operating across all levels, from individual contributors to practice leads.

Are you looking to thrive in a stimulating work environment?  

Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow.  

About the Role

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com. 

About the Role  

We’re looking for a Senior Software Engineer on our Sports AI team to help build the next generation of real-time AI systems powering sports analysis and insights. 

These systems transform live sports broadcasts (incorporating signals from video, crowd noise, audio commentary, and text) into a structured understanding of game context and auto-generated insights. The outputs from these systems power a range of products including automated highlight clipping, augmented broadcasts, semi-automatic play-by-play collection, and natural-language insight generation. For example, these systems can detect a goal, attribute it to the correct player, and localize where it occurred on the pitch within seconds by combining crowd noise spikes, commentary signals, and video cues. 

This role sits at the intersection of streaming and distributed systems, AI, and product engineering. You’ll build and operate real-time pipelines that process noisy, asynchronous inputs under tight latency constraints. These systems combine traditional streaming and data processing techniques with modern multimodal AI models to produce reliable outputs in production. 

You’ll work on challenges like aligning signals across multiple sources, handling uncertainty and inconsistency in model outputs, and designing systems that degrade gracefully in real-world conditions. We are early in building these capabilities, so the role involves working through ambiguity, experimenting with different approaches, and building new systems from first principles where established patterns don’t yet exist. 

Key Responsibilities 

• Design, build, and operate real-time streaming systems that convert live sports broadcasts into structured events, attributes, and insights
• Ingest and synchronize signals from video, audio, commentary, and data feeds under real-world latency and reliability constraints
• Integrate modern AI models into production systems, including multi-step pipelines where model outputs are composed, validated, and refined
• Design and implement evaluation and observability frameworks to measure system quality, including offline benchmarks, real-time metrics, and regression testing
• Develop mechanisms for identifying and handling uncertainty in model outputs, such as confidence scoring, validation checks, and human-in-the-loop workflows where appropriate
• Own systems end-to-end from early prototypes through production, making key architectural decisions around scalability, reliability, and performance
• Collaborate closely with product and data partners to shape, prioritize, and ship high-impact systems
• Mentor engineers and help establish best practices for building and operating applied AI systems in production 

  
Qualifications   

• 5+ years of experience building production-grade software systems 
• Strong software engineering fundamentals including system design, testing, observability, and performance 
• Experience building streaming, data-intensive, and/or distributed systems with real-time constraints
• Proven ability to design scalable systems that are robust under real-world conditions, including handling partial failures, inconsistent data, and latency tradeoffs
• Ability to evaluate system quality beyond traditional metrics (e.g., ambiguous or probabilistic outputs)
• Product-minded: able to translate ambiguous problems into practical, high-impact solutions
• Strong, demonstrated interest in building AI-powered features or systems; keep up with latest generative AI progress and capabilities
• Comfortable working in fast-moving, iterative environments with evolving requirements 

  
Preferred Qualifications   

• Hands-on experience integrating LLMs and other ML/AI systems in production workflows via platforms like Vertex AI or AWS Bedrock
• Experience building or maintaining human-in-the-loop workflows
• Familiarity with streaming systems and tooling (e.g., Pulsar, Kafka, Flink, etc.)
• Experience working with audio/video streaming and processing systems, including familiarity with media delivery protocols (e.g., HLS, DASH, RTP), container formats, codecs, and tooling such as FFmpeg or GStreamer
• Background or strong interest in sports
• Experience with Rust 

The salary for this role is based on an annualized range of $160,000 - $230,000 USD. This role will also be eligible to take part in Genius Sports Group's benefits plan.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change 

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

About You

Nutrafol is seeking a Senior Director, Marketing Analytics & Data Science to bring senior measurement leadership and advanced modeling capability to our marketing analytics function. This role partners with an established marketing analytics team that is actively driving the strategy, roadmap, and cross-functional unification of measurement across brand, growth, and retention.

We're looking for a senior measurement leader with hands-on data science depth to support and elevate an established marketing analytics team. The team owns strategy, roadmap, and cross-functional measurement — you bring technical rigor, modeling depth, and outside experience to accelerate their work. 

Responsibilities: 

• Measurement & modeling — provide senior support across the full portfolio: MMM, MTA, incrementality testing, website analytics, CM360 reporting, and growth journey analytics. Lead the technical implementation of MTA 2.0, partnering with the team that owns strategy and roadmap.
• Methodology & rigor — pressure-test assumptions, validate outputs, and guide reconciliation across measurement approaches so stakeholders know which signal to trust for which decision. Bring clarity to complex methodological questions, including privacy-resilient measurement.
• AI & advanced analytics — apply ML, statistical modeling, and AI (including LLM-based workflows and modeled conversions) to improve measurement quality, speed, and scalability.
• Mentorship — develop team members on measurement craft, modeling depth, and data science methods. Build advanced analytics capability within the function over time.
• Cross Functional Communication — translate technical measurement outputs into clear language for marketing, finance, and executive audiences. Support the team's credibility in cross-functional forums.

What success looks like:

• Own the strategy for MTA revamp, including implementation, validation, and trust — with clear reconciliation against MMM and incrementality
• Ensures measurement rigor is visibly elevated across the portfolio
• Introduce and test AI and modern analytics platforms to improve overall capabilities and measurement effectiveness
• Manage methodological choices, ensuring they’re well-documented, defensible, and trusted by business stakeholders

Requirements:

• 10+ years of experience in marketing analytics and measurement roles, with significant time in senior positions
• Deep expertise across MMM, multi-touch attribution, incrementality testing, website analytics, and growth/funnel analytics
• Hands-on background building or leading MMM and MTA models — with depth to implement, not just oversee
• Strong data science foundation: regression, Bayesian methods, time-series, and ML applied to marketing measurement
• Applied AI experience in marketing analytics — LLM-based workflows, modeled conversions, or measurement automation
• Proficiency in SQL and Python (or R); familiarity with GA4, CM360, and BI tools
• Experience mentoring analytics talent across measurement and data science
• eCommerce background required; DTC/subscription, and multi-channel experience strongly preferred
• Strong communicator; ability to influence cross-functional teams and Leaders across the organization
• Comfortable as a senior partner supporting a team that owns strategic direction

Preferred:

• Experience applying generative AI or LLMs to analytics workflows (insight generation, automation, self-serve)
• Hands-on knowledge of privacy-resilient measurement approaches (server-side tracking, modeled conversions, data clean rooms)
• Familiarity with modern data stack tools (Snowflake, BigQuery, dbt) and BI platforms (Looker, Tableau, Power BI)

As a Senior Forward Deployed Engineer (FDE) at Primer, you’ll grow your software engineering skills along with our AI and NLP technologies to help national security organizations solve some of their toughest challenges. As a technical team-member who understands customer needs and expectations, success in providing solutions will require problem solving ability, technical acumen, and the ability to see the big picture at a global level. Strong candidates will excel in both technical agility and stakeholder communication, realizing the broader impact at stake, with urgency and expertise to match.

Role Responsibilities - How You Will Make An Impact

• Engage with customers, partners, and prospects to understand their problems, scope technical requirements, prototype and propose effective solutions
• Work with cross-functional teams across Primer to satisfy the unique requirements of various national security customers and deploy our products in secure environments
• Partner with our Product Management and Engineering teams to identify and prioritize platform feature development based on customer feedback
• Dig into software source code to customize, integrate, and troubleshoot onsite customer platform deployments
• Provide subject matter expertise to advise our DevOps and Engineering teams on feature and deployment enhancements
• Optimizing applications for speed and scalability through performance analysis
• Maintaining high coding standards through the development of guidelines, active participation in code reviews, and fostering a culture of continuous improvement and knowledge sharing among your team

Relevant Skills & Experiences:

• Professional experience developing and deploying Python applications
• Hands-on experience with a major cloud services provider (AWS or Microsoft Azure)
• Linux, Docker and Kubernetes proficiency - you’ll need to know your way around a Linux shell in order to operate services, and then deploy them at scale
• Strong DevOps chops - you’ll need to be comfortable with automation tools to accelerate the deployment of infrastructure and software services in our customers’ environments
• Strong communication skills - you’ll be the technical representative of Primer to our customers

Bonus Points:

• Full-stack web and backend development skills
• Experience with natural language processing (NLP)
• Direct experience with the secure, privileged regions of AWS or Microsoft Azure
• Familiarity with identity management solutions for authentication and authorization

Final compensation will be determined based on experience and skills and may vary from the range listed above.

This position is open to candidates based in Singapore who are able to work from our Singapore office 2–3 days per week as part of a hybrid work model.

As a Senior Technical Delivery Manager (TDM), you’ll guide client engagements from ideation to deployment for some of the world’s largest enterprises. You’ll be responsible for understanding client needs through data, conversations, and any other means necessary. You’ll work closely with Engineering, Design, and Sales.  You’ll face problems that require a mix of technical knowledge, creativity, critical thinking, and business acumen.

To strengthen our growing delivery team, we are looking for an experienced TDM who is passionate about transforming technology into critical business value. The TDM will partner with and work closely with engineering teams and the client to orchestrate the delivery of our flagship solution. This role will consider applicants from either the Washington DC Metro Area or San Francisco Bay area.

Role Responsibilities - How You Will Make An Impact:

• Orchestrate: Work with clients, the business, and engineers to set strategy and collect and prioritize requirements.  Manage requirements documentation, milestone mapping, prioritization, and communication to facilitate project collaboration.
• Execute: Work with data scientists, machine learning engineers, software engineers, and designers to build products that delight our customers. Proactively identify assumptions, dependencies, issues, risks and drive discussions across the team to develop mitigation plans and implementation paths. Maintain compliance with IT and security policies and procedures.
• Strategize: Think widely about potential applications of machine learning and natural language processing techniques, translating capabilities built for individual clients into new features or customization options for our core products.

Relevant Skills and Experience:

• 5+ years of experience in a professional environment, ideally within a SaaS-based company
• Proven success managing large-scale enterprise data integration projects that are highly technical and cross-functional in nature
• Skilled in gathering and prioritizing requirements, leading scope discussions, and aligning on project priorities
  Comfortable working across internal functions (Engineering, Product, Security, Compliance, Customer Experience, etc.) and with external client stakeholders
• Strong technical understanding with the ability to contribute to system design conversations and drive enterprise data and architecture initiatives
• Experience working with DoD or public sector clients and understanding of relevant processes (e.g., FedStart, ATO)
• Must hold an active Top Secret (TS) security clearance; TS/SCI strongly preferred

Bonus Points:

• Familiarity with machine learning workflows and core data science concepts (e.g., classification vs. regression, feature engineering, model selection and tuning, deployment considerations)
• Understanding of ML algorithms, database structures, or data pipeline development
• Background in coding or working closely with engineering teams

The annual cash compensation range for this position is US$180,000 to US $220,000.  Final compensation will be determined based on experience and skills and may vary from the range.

As a Forward Deployed Engineer (FDE) at Primer, you’ll grow your software engineering skills along with our AI and NLP technologies to help national security organizations solve some of their toughest challenges. As a technical team-member who understands customer needs and expectations, success in providing solutions will require problem solving ability, technical acumen, and the ability to see the big picture at a global level. Strong candidates will excel in both technical agility and stakeholder communication, realizing the broader impact at stake, with urgency and expertise to match.

Role Responsibilities - How You Will Make An Impact

• Engage with customers, partners, and prospects to understand their problems, scope technical requirements, prototype and propose effective solutions
• Work with cross-functional teams across Primer to satisfy the unique requirements of our national security customers and deploy our products in secure environments
• Partner with our Product Management and Engineering teams to identify and prioritize feature development based on customer feedback
• Train, deploy, and tune machine learning models on customer data sets
• Dig into software source code to customize, integrate, and troubleshoot onsite customer product deployments
• Provide subject matter expertise to advise our DevOps and Engineering teams on feature and deployment enhancements

Relevant Skills & Experiences:

• Active TOP SECRET clearance within the Department of Defense
• Hands-on experience with a major cloud services provider (AWS or Microsoft Azure)
• Professional experience developing and deploying Python applications. Linux, Docker and Kubernetes proficiency - you’ll need to know your way around a Linux shell in order to operate services, and then deploy them at scale
• Strong DevOps chops - you’ll need to be comfortable with automation tools to accelerate the deployment of infrastructure and software services in our customers’ environments
• Strong communication skills - you’ll be the technical representative of Primer to our customers

Bonus Points:

• Full-stack web and backend development skills
• Experience with natural language processing (NLP)
• Direct experience with the secure, privileged regions of AWS or Microsoft Azure
• Familiarity with identity management solutions for authentication and authorization

Help toddlers discover who they are and what they can do.

At Guidepost Montessori, our Lead Toddler Guides create calm, purposeful environments where curiosity, independence, and confidence grow every day.

If you’re passionate about early childhood development and ready to lead a classroom designed for exploration and independence, this is your opportunity to make a meaningful impact.

Your Role

As a Lead Toddler Guide, you’ll lead a mixed-age toddler classroom in a Montessori environment thoughtfully designed to support children during one of the most formative stages of development.

Montessori guides prepare beautiful, orderly environments that invite exploration and support independence. Through careful observation, individualized lessons, and respectful guidance, you’ll help each child develop language, coordination, self-regulation, and confidence.

Your leadership will empower toddlers to explore freely, make choices, and take pride in what they can accomplish laying the foundation for lifelong learning.

What You’ll Do

• Observe each child closely to understand and support their physical, emotional, and cognitive development
• Prepare and maintain a beautiful, orderly classroom that fosters focus, independence, and exploration
• Support independence by encouraging toddlers to “do it themselves”
• Provide lessons in practical life skills, language development, and grace and courtesy
• Build warm, trusting relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead classroom routines and collaborate with team members to create a respectful, joyful community

The Montessori Prepared Environment

Every Guidepost toddler classroom is fully equipped with high-quality Montessori materials and designed according to the principles of beauty, order, and independence.

Our toddler environments feature:

• Open spaces that encourage movement and exploration
• Child-sized furniture and tools to support independence
• Curriculum that builds skills in dressing, feeding, and toilet learning
• Scientifically designed materials for fine and gross motor development
• Natural elements including cozy rugs, real plants, and abundant light
• Beautiful, breakable materials made from wood, metal, and glass
• Opportunities to climb, crawl, and explore without restrictive devices

What We’re Looking For

• Interest in pursuing fully sponsored Montessori certification through our Prepared Montessorian Institute, or a previously earned Montessori diploma
• Experience working with children ages 0–3 in a group care or early learning setting
• Alignment with child-led educational approaches (Montessori, Reggio Emilia, or similar)
• Required ECE or Child Development credits
• Bachelor’s degree (ECE or Child Development)

What We Offer

• Sponsored Montessori diploma training and ongoing professional development
• Competitive salary $43,000-52,000
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A collaborative, supportive network of peers and mentors
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children from 3 months to 6 years old in our Nido, Toddler, and Children’s House programs.

We believe children are capable and we intentionally design environments that empower them to explore, grow, and flourish. Our mission is to transform education by nurturing independence, joy, and lifelong learning.

If you’re inspired by toddler development, excited to partner with families, and ready to lead with purpose, we’d love to welcome you to Guidepost Montessori.

Apply today and help toddlers take their next big steps.

Influencer and Content Creator Strategist (Contract) 

Toronto, Canada, hybrid (preferred) 

East Coast, remote  (considered)

*Please note, this is a temporary position, expected to last 12-18 months. This role has a hybrid ​​schedule, with a minimum of one day per week on-site and additional in-office days as needed, needing the candidate to be within driving distance of the SIE office in Toronto. Will consider East Coast based remote candidates. We aim to provide flexibility while ensuring the support and collaboration essential to our team’s success. Applications from fully remote candidates will still be considered.

The Influencer and Content Creator Strategist will lead influencer initiatives in Canada—owning both high-impact paid creator partnerships and the ongoing PlayStation creator/talent partnership program. As a key member of the Global Communications and Canadian Marketing team, this role is responsible for developing and executing influencer strategies that support brand and campaign objectives. Your mission is to create cultural impact and measurable excitement around game and product launches by partnering with creators who authentically move the gaming community—then turning those partnerships into best-in-class content moments across platforms like YouTube, TikTok, Twitch, Instagram, Facebook, and X (Twitter). The individual will oversee strategic planning, day-to-day program management, global content alignment, local content development, and performance reporting and analysis.

The ideal candidate brings strong experience in influencer marketing and relationship management across both paid and earned programs. They possess excellent organizational and communication skills, strong attention to detail, and the ability to manage multiple priorities in a fast-paced, collaborative environment. This person should also be comfortable stepping into an established program and ensuring continuity, operational efficiency, and sustained momentum throughout the duration of the contract.

The successful candidate will be a natural relationship builder with a proven track record of managing influencer and player relationships while supporting integrated marketing campaigns.

Responsibilities include:

 Influencers and Content Creation management

●      Own the Canada creator/influencer strategy across the launch calendar, ensuring creator activity ladders to clear campaign objectives (awareness, excitement, cultural conversation, community engagement) and fits the realities of gaming communities

●      Lead paid influencer partnerships end-to-end with agency support: creator sourcing and evaluation, outreach, negotiation, contracting, briefing, deliverable management, approvals, and post-campaign reporting.

●      Develop creator campaign briefs that translate campaign strategy into creator-native storytelling (what to say, what to show, what to avoid), and ensure creators clearly understand product positioning and key beats.

●      Partner with Social, PR/Comms, Local Campaign Managers and Global PlayStation teams to integrate creators into broader campaigns and community moments.

●      Coordinate creator “capture plans” and access moments (e.g., content days, livestream plans, behind-the-scenes access, event activations) and provide on-site/on-set support when required to ensure optimal content capture and creator experience.

●      Stay ahead of creator platform trends, emerging voices, and cultural moments in Canada, proactively identifying opportunities where PlayStation can show up with relevance.

●      Run and grow the PlayStation creator and talent partnership program in Canada: recruiting and onboarding creators, tiering/relationship management, ongoing communications, community touchpoints, and program operating rhythms

●      Identify, build, and maintain relationships with key influencers, content creators, and power users, evaluating the impact of these partnerships on an on-going basis.

●      Develop and implement content creator tactics for key software and brand campaigns, collaborating closely with the Global Marketing Talent Partnerships team.

●      Create and define an always-on engagement strategy.

●      Ensure top-tier influencers are informed about upcoming feature and product launches, major content updates, and key announcements.

●      Define and report performance measurement for creator work (reach, views/watch time, engagement quality, sentiment, share of conversation, community growth signals), and translate results into actionable recommendations for future launches.

●      Establish metrics to grow and engage the content creator community; regularly analyze sentiment and performance data and adjust strategies accordingly.

●      Own creator/influencer governance and operational hygiene: creator database management, documentation of learnings, and consistent sharing of best practices across teams.

●      Manage budgets for creator partnership fees, in-kinds exchanges and productions in Canada, including forecasting, tracking, and post-mortems that connect spend to outcomes.

●      Foster positive and supportive conversations with content creators around content opportunities, contests, and initiatives relevant to the player community.

●      Distribute player surveys and collect feedback from core players on a regular basis.

●      Build and maintain strong relationships with key community leaders to better understand community needs and insights.

●      Protect PlayStation brand and community trust by setting clear creator standards: brand safety, inclusion, community conduct expectations, and Local Canadian disclosure compliance.

Administration:

●      Manage budgets and timelines for influencer and content creator initiatives, working with agencies to identify and vet the right influencers and ensure content is delivered on schedule for local and global review as needed.

●      Define and manage campaign budgets, thoroughly reviewing proposed spend prior to approval and ensuring all activities remain within agreed financial parameters.

●      Oversee monthly budget forecasting and financial administration related to influencer and content creation programs.

●      Monitor social sentiment and consumer reactions to announcements, capturing key insights, and sharing findings with partners across SIE territories and global teams.

●      Deliver comprehensive post-launch evaluations summarizing performance, insights, results against key metrics, and actionable learnings.

Qualifications:

●      Bachelor’s degree or equivalent

●      5+ years of experience in influencer marketing, partnerships, or creator programs, ideally working with consumer-facing brands or products.

●      Proven creator/influencer experience with end-to-end ownership of paid partnerships (strategy → talent selection → negotiation/contracts → execution → reporting)

●      Demonstrated ability to lead agency partners and talent-driven content productions (creative development, production planning, approvals, timelines, budgets)

●      Exceptional briefing and storytelling ability: can translate a launch strategy into authentic creator-native content moments.

●      Deep fluency in gaming culture and creator ecosystems, including how gamers discover, discuss, and adopt new games/products across social platforms.

●      Strong creator judgment: ability to spot culturally relevant talent early, assess authenticity/fit, and anticipate community reaction

●      Strong communication skills, including written, verbal, and interpersonal communication.

●      Passion for gaming and community building.

●      Deep understanding of the digital, social, and media landscape, with the ability to identify and interpret emerging digital trends.

●      Proven ability to work independently, demonstrate creativity, strong attention to detail, and the ability to manage multiple projects simultaneously.

●      Familiarity with major content creator platforms, including YouTube, Facebook, TikTok, Instagram, and Twitch.

●      Experience developing and managing creator-led initiatives such as giveaways, contests, and community engagement programs.

●      Understanding of mobile gaming, free-to-play models, or live-service operations is a strong plus.

●      Strong project management skills with the ability to prioritize tasks and manage multiple initiatives effectively.

●      Data-literate: comfortable defining success metrics, reading creator performance signals, and using insights to optimize strategy

●      High integrity and compliance mindset, including understanding of disclosure requirements and brand safety expectations in Canada and globally

●      English required; French Canadian language proficiency is a plus.

●      Proficiency with collaboration and productivity tools such as Microsoft Office Suite, Google Workspace, Slack, and AI tools (e.g., ChatGPT, Copilot).

This posting reflects an active, existing opportunity at Sony Interactive Entertainment, and we’re excited to connect with candidates interested in joining our team. This is a contract position expected to last 12-18 months.   

As part of our recruitment process, we may use technology, including artificial intelligence, to support the review of applications and identify candidates whose experience aligns with the requirements of the role. All decisions are made by our hiring team, and these tools are used to support, not replace, human judgment.

We value diverse experiences and do not require prior Canadian work experience for this role.

Hi, we're Oscar. We're hiring an Applied AI Engineer to join our AI team.

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

About the role

Join Oscar’s AI team to build and launch transformative AI-powered products that redefine the healthcare experience for millions. As an Applied AI Engineer, you’ll take end-to-end ownership of high-impact projects—conceiving, prototyping, and deploying generative AI solutions that solve real-world problems across the healthcare ecosystem.You’ll work alongside a world-class team of engineers and data scientists, rapidly iterating on ideas and shipping production-ready applications that drive measurable business and user outcomes. You’ll have the autonomy to identify opportunities, experiment with the latest AI models and techniques, and deliver solutions that streamline operations, improve patient experiences, and move the needle for Oscar and our members.

You will report to the Sr. Director, AI.

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

Pay Transparency: The base pay for this role is: $163,944 - $236,911 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

• Lead the design, development, and deployment of AI-driven products and features, from zero-to-one prototypes to robust production systems.
• Collaborate cross-functionally with product, design, and business teams to deeply understand user needs and deliver solutions that move key metrics.
• Rapidly experiment with new models, techniques, and tools (including LLMs, RAG, and agentic workflows), iterating based on data and user feedback.
• Build and scale full-stack applications and intelligent agents that automate complex healthcare workflows and deliver seamless user experiences.
• Stay on the cutting edge of the AI ecosystem, evaluating and integrating emerging technologies to keep Oscar at the forefront of healthcare innovation.
• Contribute to Oscar’s AI strategy and technical vision, helping shape the future of healthcare through technology.
• Other duties as assigned

Qualifications

• 7+ years of professional experience in software engineering, data science, or a related field, with a track record of impactful accomplishments
• Strong Python programming skills
• Experience solving complex, ambiguous problems 
• Experience designing and analyzing experiments or evaluations
• Experience or an interest in prototyping full-stack applications

Bonus Points

• Experience with the healthcare industry. Familiarity with claims or clinical data.
• Degree in math, statistics, data science, or engineering.
• Our ideal candidate is a data scientist with an engineering background, an engineer with a data science background, or a founder-type who combines product thinking, rapid prototyping, and hands-on coding to deliver real-world impact.
• Experience with NLP, neural networks, transformers, and modern AI frameworks.
• Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang).
• Experimental mindset: comfort with testing hypotheses and iterating on failures.

This position is available for candidates based in EMEA, LATAM or North America.

Important Notice: Beware of Recruitment Scams

It has come to our attention that there are fraudulent activities targeting job seekers, where individuals are impersonating Amplemarket by using fake profiles, domains, and emails.
Please be informed that Amplemarket always uses our main domain (amplemarket.com) for all hiring and recruitment purposes. Any communication or offer not originating from an amplemarket.com email address should be regarded as suspicious.

• We will never request personal financial information (such as bank account details) during the initial application or interview process.
• Our hiring process does not involve transferring money or making payments of any kind to secure a position.

Amplemarket is not responsible for any loss or damage incurred as a result of job scams or fraudulent activity by third parties misusing our company name.

If you have any doubts about the legitimacy of a job opportunity with Amplemarket, please contact our HR department directly.

We advise you to verify the authenticity of any job-related communications claiming to be from Amplemarket. If you have any concerns or doubts, please contact us directly through our official channels.

Your security is our priority. Thank you for your vigilance and understanding.

Software engineers build the core of Amplemarket.

Backend engineers build the core of Amplemarket. The three co-founders have an engineering background (João, Luís and Mica studied Physics & Computer Science in university) and deeply value the work that engineers are responsible for.

Our main goal is to build a sales platform that helps companies grow. Our product requires us to solve a myriad of difficult engineering problems very diverse in nature: from working on NLP models that can extract information from a thread of emails to scaling an Elasticsearch cluster holding terabytes of data.

We are deeply aware of the importance of our tool to our customers and look for people that share that vision.

Among other things, our stack includes:

Ruby on Rails, React, PostgresQL, Elasticsearch, Redis

We don't require you to have experience in our stack to apply.

Our customers use Amplemarket on a daily basis. We keep and enrich valuable data that is critical for sales reps's success. We need to keep these TB of data organized and easily accessible. Luckily, you are reading this, and when you join Amplemarket our performance will skyrocket.

As an early member of engineering team, you will build reliable backend systems and design state-of-the-art APIs to enable new product features. You will work cross functionally in a fullstack team and in close collaboration with product, design, customer success, support, and sales functions.

Your role
As an analytics engineer, you’ll be an integral part of our data analysis and QA team, providing essential data support for our cutting-edge Agentic AI initiatives, specifically with ASR and NLP teams. A key focus will be on leveraging data analysis to identify and drive optimization of the conversational flows and underlying data infrastructure for agentic voice and chat solutions. You will actively seek opportunities to improve the team’s productivity and workflow through automation and process optimization, including implementing automated QA for our agentic systems.

This position reports to the manager of the Data Analysis and QA team and has the opportunity to be based in our Vancouver, Canada Office.

What you’ll do 

• You will work closely with other Agentic AI teams to test and evaluate our Agentic voice and chat solutions.
• You will design and implement data logging and monitoring strategies to capture key analytical insights.
• You will utilize data analysis to identify areas for optimization in the voice bot's conversational flows and data pipeline.
• You will build and maintain data pipelines on Vertex AI pipelines. 
• You will work closely with the AI Platform team to build tooling for data science projects. 
• You will implement automation and processes to improve our workflow. 
• You will create and maintain dashboards (Tableau) and data pipelines (Dataform) that help drive product and business decisions.
• You will contribute to our continuous efforts to enforce data privacy and compliance. 
• You will collaborate with cross-functional teams, including AI, engineering, and product teams.

Skills you’ll bring 

• Bachelor's or Master’s degree in Computer Science, Software Engineering, or related fields.
• 1 - 3 years of working experience with software engineering or data engineering projects. 
• 1 - 3 years of experience with Python, working with GCP, including storage, BigQuery, Compute, Kubernetes, or similar.
• 1 - 3 years of experience with SQL, able to optimize complex SQL queries and build data pipelines. 
• Experience with BI tools such as Tableau. 
• Experience analyzing the performance of conversational AI systems (e.g., voice bots, chatbots) and collaborating with cross-functional teams (AI, Product) on data-driven improvements.
• Experience working with popular LLM frameworks.
• Strong problem-solving and analytical abilities, with the capacity to handle complex technical and analytical problems.

About Grupo QuintoAndar

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love where they live, we have a diversified portfolio of brands and solutions across different countries in Latin America, covering all phases of the housing journey. We also have a Technology Hub in Portugal. We develop technology and innovation to transform and enhance the overall living experience.

With the support of a world-class team of investors and advisors, including Kaszek, Qualcomm, General Atlantic, and SoftBank, Grupo QuintoAndar is currently valued at over USD 5.1 billion and continues to grow year over year.

Here, you will work with top professionals in the market, in an environment that breathes innovation, collaboration, and high performance. To learn more about our story, visit: https://grupoquintoandar.com/pt/.

Location & Remote Work

Our technology team operates under a "remote-first" model, which means we work from home and can live anywhere in Brazil. We also offer the option of working from our São Paulo offices or partner coworking spaces, up to twice a week.

Hiring Process Stages

The stages of our hiring processes aim to assess your experiences and allow you to meet our teams and explore career opportunities. They are structured as follows:

• Application
• Interview with Recruiter
• Tech Screening
• Technical Interview with Data Products Team
• Offer

About the Area

In our Data Science team, you'll have the chance to work as a part of our product squads delivering features that enrich our product and a first class experience that we are known for. You'll work alongside brilliant minds, with different skills: Product Managers, Designers, UX Writers, Data Scientists, Machine Learning Engineers, Software Engineers, etc. Be prepared for the job of your life - hard challenges, high expectations, intelligent life at work, meaningful conversations, outstanding productivity.

Some of the specific problems we work in the Data Science team include search and recommendation systems; customer experience enhancement using ML such as in automatic routing of tickets; pricing, liquidity and credit models; building a platform that enables us to develop and deploy all those solutions.

Note: This is a senior position. We expect you to have at least 3+ years of experience applying data science and creating machine learning models. If you have the skills, but are starting your journey in Data Science, please apply to the Data Scientist job instead.

Responsibilities

• Architect, develop and deploy machine learning systems to production. The main use cases are related to chatbots and search.
• Design and execute experiments.
• Analyze a wide variety of data (structured and unstructured, observational and experimental) to improve current models or create new ones
• Apply the scientific method to develop LLM-powered applications, including testing different prompts, exploring and understanding LLM capabilities, evaluating agents and prompts, assessing AI application guardrails, and building PoCs to validate the feasibility of generative AI for product features.
• Participate actively in discussions and decisions regarding the whole Data Science chapter (Guilds, Design Reviews, Demos, etc.)

What we are looking for:

• People that are seeking to learn and deliver real impact through Data Science
• Expert knowledge of machine learning concepts: regression and classification, clustering, neural networks, feature selection, cross-validation, curse of dimensionality, bias-variance tradeoff, model explainability, etc.;
• Good understanding of the engineering challenges to deploy machine learning systems to production;
• Proficiency in Python;
• Some knowledge or experience with Deep Learning
• Experience with technical advice for other data scientists (technical leadership);
• Excellent written and verbal technical communication skills. We're looking for someone who loves Data Science & Machine Learning and is willing to share his/her knowledge with the other members of the Data Science Chapter;
• Good English skills (verbal and written) is mandatory.

You'll stand out if you:

• Have a MSc. (or Undergrad + intense experience) in machine learning, data science, information retrieval, ranking systems, recommender systems, natural language processing or other relevant fields.
• Have experience with applied generative AI: AI agents, prompt engineering, LLMs finetuning (lora, qlora, peft), LLM routing, LLM monitoring, LLM guardrails
• Have experience working at fast-growing startups.

Important

• Our hiring process starts with the application! If you truly want to be part of our team, please complete this step of the process. We analyze all candidates individually and provide feedback to all applicants.

• All communication will be conducted via email, so please stay tuned for our messages and release the domain @quintoandar.com.br to ensure our emails are not sent to spam.

Benefits

• Competitive salary
• Profit sharing
• Meal allowance 
• Health insurance
• Dental plan
• Life insurance
• Childcare subsidy and Atypical Parenthood subsidy
• Wellhub
• Home office allowance
• Employee assistance program (mental health, social, legal, and financial support)
• Extended parental leave
• Day off on birthday, Mother’s Day, and Father’s Day
• Benefits Club (discounts on everyday services)
• Discounts at educational institutions
• Reading kit for children – PlayKids
  
  

Diversity & Inclusion at Grupo QuintoAndar

We value diversity and want everyone to feel welcome here, regardless of their age, gender identity, sexual orientation, race, color, ethnicity, origin, disability, religion, or any other characteristic. All our job openings are open to all individuals!

You'll notice there are some diversity questions in the application form. For affirmative action roles, this information may be used to verify your alignment with the target audience for the opportunity. In such cases, it may be used for elimination purposes. For non-affirmative action roles, this data will be used anonymously, exclusively to monitor and improve our inclusion practices in the hiring process, and will have no impact on your application.

Privacy and Data Protection

The Grupo QuintoAndar operates in compliance with privacy and data protection laws, including, but not limited to, the Brazilian General Personal Data Protection Law (LGPD) (Law No. 13,709/2018), and ensures the security of your data. To learn more, please access our Privacy Notice for Candidates. For questions or to exercise your rights as a data subject, please contact us through our Service Channel.

Acerca del Grupo QuintoAndar
Somos el Grupo QuintoAndar, el mayor ecosistema inmobiliario de América Latina. Guiados por un propósito compartido de ayudar a las personas a amar el lugar donde viven, contamos con un portafolio diversificado de marcas y soluciones en diferentes países de América Latina y también con un Hub de Tecnología en Portugal. Desarrollamos tecnologías e innovación para transformar e impulsar la experiencia de vivienda en su totalidad.

Juntas, nuestras marcas líderes ofrecen soluciones que cubren todas las etapas del proceso de viviendar: Inmuebles24 (México), Zonaprop (Argentina), Adondevivir y Urbania (Perú), Plusvalía (Ecuador), ImovelWeb y QuintoAndar (Brasil).

Con el apoyo de un equipo de inversionistas y consultores de clase mundial, como Kaszek, Qualcomm, General Atlantic y SoftBank, QuintoAndar Group está actualmente valorado en más de 5.100 millones de dólares y sigue creciendo año tras año.

Aquí trabajarás con los mejores profesionales del mercado, en un entorno que respira innovación, colaboración y alto rendimiento. Para conocer más sobre nuestra historia, visita https://grupoquintoandar.com/es/.

Ubicación y Modelo de Trabajo Híbrido 
Nuestro equipo de Software Engineer trabaja bajo el modelo “híbrido”, siendo necesario estar presencialmente en la oficina, ubicada en Buenos Aires, 1 vez por semana al menos.

Etapas  del Proceso Selectivo:

Las etapas de nuestros procesos de selección tienen como objetivo evaluar tus experiencias y brindarte la oportunidad de conocer a nuestros equipos y oportunidades de carrera, y están estructuradas en los siguientes pasos:

• People Interview
• Tech Screening 
• Tech Interview 1
• Tech Interview 2

Acerca del puesto 

En nuestro equipo de Data Science, tendrás la oportunidad de trabajar como parte de nuestros product squads, desarrollando funcionalidades que enriquecen nuestro producto y brindan la experiencia de primer nivel por la que somos reconocidos. Trabajarás junto a profesionales brillantes con distintas especialidades: Product Managers, Designers, UX Writers, Data Scientists, Machine Learning Engineers, Software Engineers, entre otros. Prepárate para el trabajo de tu vida: desafíos complejos, altas expectativas, mentes brillantes trabajando juntas, conversaciones significativas y una productividad extraordinaria.

Algunos de los problemas específicos en los que trabajamos en el equipo de Data Science incluyen sistemas de búsqueda y recomendación; mejora de la experiencia del cliente utilizando machine learning (como el enrutamiento automático de tickets); modelos de pricing, liquidez y crédito; y la construcción de una plataforma que nos permita desarrollar y desplegar todas estas soluciones.

Nota: Esta es una posición senior. Esperamos que tengas al menos 3+ años de experiencia aplicando Data Science y creando modelos de machine learning. Si tienes las habilidades pero estás comenzando tu carrera en Data Science, te recomendamos postularte a la posición de Data Scientist.

Responsabilidades

• Arquitectar, desarrollar y desplegar sistemas de machine learning en producción. Los principales casos de uso están relacionados con chatbots y sistemas de búsqueda.

• Diseñar y ejecutar experimentos.

• Analizar una amplia variedad de datos (estructurados y no estructurados, observacionales y experimentales) para mejorar los modelos actuales o crear nuevos.

• Aplicar el método científico para desarrollar aplicaciones impulsadas por LLMs, incluyendo probar diferentes prompts, explorar y comprender las capacidades de los LLMs, evaluar agentes y prompts, analizar guardrails de aplicaciones de IA y construir PoCs para validar la viabilidad de IA generativa en funcionalidades de producto.

• Participar activamente en discusiones y decisiones relacionadas con todo el chapter de Data Science (Guilds, Design Reviews, Demos, etc.).

Lo que buscamos

• Personas que quieran aprender y generar impacto real a través de Data Science.

• Conocimiento experto en conceptos de machine learning: regresión y clasificación, clustering, redes neuronales, selección de features, validación cruzada, curse of dimensionality, bias-variance tradeoff, explicabilidad de modelos, entre otros.

• Buena comprensión de los desafíos de ingeniería para desplegar sistemas de machine learning en producción.

• Dominio de Python.

• Conocimientos o experiencia con Deep Learning.

• Experiencia brindando asesoramiento técnico a otros data scientists (liderazgo técnico).

• Excelentes habilidades de comunicación técnica escrita y verbal. Buscamos a alguien apasionado por Data Science y Machine Learning, dispuesto a compartir su conocimiento con los demás miembros del Data Science Chapter.

• Buen nivel de inglés (oral y escrito) es obligatorio.

Te destacarás si

• Tienes un MSc. (o licenciatura + experiencia sólida) en machine learning, data science, information retrieval, ranking systems, recommender systems, natural language processing u otros campos relevantes.

• Tienes experiencia con IA generativa aplicada: agentes de IA, prompt engineering, fine-tuning de LLMs (LoRA, QLoRA, PEFT), LLM routing, monitoreo de LLMs y LLM guardrails.

• Tienes experiencia trabajando en startups de rápido crecimiento.

Importante:

• ¡Nuestro proceso de selección comienza con el registro! Si realmente deseas formar parte de nuestro equipo, asegúrate de completar  esta primera etapa. Revisamos cada postulación con atención y siempre damos una respuesta, aunque la persona no siga en el proceso. 
• Toda la comunicación se realiza por correo electrónico, así que estate atento a nuestros mensajes y libera el dominio @quintoandar.com.br para que nuestros correos no terminen en la carpeta de spam.

Beneficios

• Plan médico
• Wellhub
• Licencia parental extendida
• Reintegro de Guardería
• Gastos de teletrabajo (monto mensual)
• Descuentos en servicios del día a día
• Día libre por cumpleaños, Día del Padre y Día de la Madre

Diversidad e Inclusión en Grupo QuintoAndar

Durante la inscripción, verás algunas preguntas sobre diversidad. Estas son confidenciales y tienen como objetivo apoyar nuestras acciones de diversidad e inclusión. En vacantes afirmativas, la información podrá ser utilizada para verificar el alineamiento con el público objetivo de la oportunidad y, en estos casos, podría tener carácter eliminatorio. Para vacantes no afirmativas, esta información no afecta tu postulación y se utiliza únicamente para ayudarnos a mejorar continuamente nuestras prácticas e iniciativas de inclusión a lo largo de tu trayectoria con nosotros.

Privacidad y Protección de Datos

El Grupo QuintoAndar actúa de conformidad con las leyes de privacidad y protección de datos, y garante la seguridad de sus datos personales. Para saber más, consulte nuestro Aviso de Privacidad para Personas Candidatas. Si tiene dudas o desea ejercer sus derechos como titular de los datos, póngase en contacto con nosotros a través de nuestro Canal de Atención.

#LI-FS4

Lab Summary: AI Research Center (AIC) located in Mountain View, California focuses on research and development which directly impacts future Samsung products reaching hundreds of millions of users worldwide. We are focused on pushing the state-of-the-art and practice in natural language and knowledge intelligence. 

Position Summary: Samsung Research AI center, located in Mountain View, CA, is currently recruiting world-class students who can thrive in a fast-pace, cross team, results-driven environment, with focus on highly visible, challenging, and cross discipline projects. You will be part of an exciting project to build an adaptive, personalized, contextual and secure AI model and system to enable fast, accurate and safe interactions tailored to users’ needs on Samsung devices. 

Position Responsibilities:   We are looking for Fall Interns (Flexible start date for a 3 month internship between September-December).

• Develop and implement novel deep learning/reinforcement learning algorithms for natural language processing (text, speech) in various applications 
• Contribute to the research activities of our team 
• Generate creative solutions (patents) and publish in top conferences (papers) 

Required Skills:  

• Current Ph.D. student in CS, EE, or related field 
• Experience in one or more of the following areas:  
  • Expertise in LLM including model architecture, training/finetuning techniques, retrieval augmented generation (RAG), reasoning and action planning, etc.
  • Experience in planning, tool use, agent AI, and agent memory to develop autonomous systems for decision-making, problem-solving, and adaptability. 
  • Experience in knowledge augmented AI technologies (e.g., language prompt, knowledge graph, neuro-symbolic learning)
  • Experience in conversational AI technologies: natural language processing (e.g., language models, semantic parsing, natural language generation etc.), dialogue (e.g., state tracking, policy learning), and representation learning (embedding, conceptualization, etc.)
  • Experience in multimodal AI technologies for various multimodal applications
  • Experience in on-device AI technologies such as lightweight model architecture design
• Teamwork and communication skills 
• Proficiency in a neural network library (e.g., PyTorch, TensorFlow)
• Track record of research/publications on machine learning and artificial intelligence field (NeurIPS, ICML, ICLR, AAAI, IJCAI, CVPR, ACL, EMNLP, NAACL, TACL, etc.) 

Legend Biotech is seeking a Principal Scientist, Lentivirus Downstream Process Development as part of the Technical Development team based in Somerset, NJ.

Role Overview

The Principal Scientist, Lentivirus Downstream Process Development, will be a key technical leader responsible for designing, optimizing, and scaling purification processes for lentiviral vectors (LVV) within our innovative pipeline. This role focuses on delivering high-quality vector products to support LVV generation and other advanced cell therapy programs. The successful candidate will drive scientific excellence in downstream processing (DSP)—including clarification, chromatography, TFF, sterile filtration and fill/finish—ensuring processes are robust, scalable, and phase-appropriate for GMP manufacturing. This position demands a blend of hands-on technical mastery and strategic thinking to accelerate timelines while maintaining a patient-focused approach.

Key Responsibilities

• Design and execute highly efficient purification strategies for lentiviral vectors, specifically optimized for CAR-T applications.
• Direct the development and optimization of downstream processes including and not limited to: clarification (depth filtration, centrifugation), chromatography (AEX, SEC, HIC), and Tangential Flow Filtration (TFF) for concentration and diafiltration.
• Provide hands-on training as needed.
• Direct the translation of bench-scale processes to GMP manufacturing, ensuring seamless technology transfer and providing troubleshooting support during clinical production runs
• Lead the execution of study protocols to define operating parameters and performance limits; implement state-of-the-art knowledge management for DSP data.
• Communicate the potential for issues and delays along with solutions and mitigation approaches.
• In collaboration with the Senior Leaders, CMC Project Manager, Project Leader, and other technical leads identify project acceleration opportunities.
• Leverage advanced science and technology to maximize vector recovery, purity, and potency, identifying creative solutions to define unknowns in the viral vector field.
• Guide a team of scientists in the execution of project-specific activities, fostering a culture of transparency, scientific rigor, and continuous improvement.
• Author and serve as a primary reviewer for technical documents, including development reports, SOPs, and CMC sections for regulatory submissions (IND/IMPD).
• Work closely with Upstream Process Development and Analytical Development teams to ensure integrated and holistic process outcomes.
• Tech transfer process to/from other Legend sites or CDMOs
• Resolve conflict and proactively identify/address performance issues.
• Ensure compliance with regulatory requirements. 

Requirements

• Advanced degree (PhD preferred, or MS) in Chemical Engineering, Biomedical Engineering, Virology, Molecular Biology, or a related field.
• 8+ years (PhD) or 10+ years (MS) of experience in process development or manufacturing within a biotech or pharmaceutical setting.
• Deep technical hands-on experience in purification, chromatography, and TFF specifically for viral vectors (Lentivirus preferred)
• Strong understanding of GMP manufacturing requirements and CMC strategies for early-phase clinical trials.
• Deep knowledge and hands-on experiences in cell and lentiviral vector technologies within the current emerging field
• Ability to implement closed-system processes and maximize cost effectiveness
• Strong knowledge in engineering modeling and optimization.
• Excellent leadership, emotional intelligence, and communication skills; ability to maintain composure and strategic focus during challenging development timelines.
• Creative, strategic thinking
• Strong troubleshooting skills
• Preferred experience in developing vector processes tailored for CAR-T generation and systemic delivery
• Preferred experience in handling large scale(>50L) purification process.
• Language: English. Mandarin is a plus. 

#Li-JR1

#Li-Hybrid

About Dashlane

Dashlane's mission is to make security simple for millions of organizations and their people. We empower businesses of every size to protect company and employee data while helping everyone easily log in to the accounts they need—anytime, anywhere. 

Our global team with offices in Paris, New York, and Lisbon is united by a strong sense of community and passion for improving the digital experience. Over 15 million users and 20,000 businesses in 180 countries use Dashlane for a faster, simpler, and more secure internet.

About the role:

Dashlane is looking for our first CSM based in our Lisbon office to help us continue to support our growing EU customer base. You will lead a "dual-motion" portfolio: providing high-impact, reactive management for our Scale Segment while directly managing a portfolio of dedicated accounts. You will own the relationship and success of these accounts with a core focus on Onboarding/Deployment, Retention, and Expansion. 

We’re looking for a self-motivated, hungry to learn individual who thrives in a fast-changing environment. This isn't a traditional "maintenance" role. You are here to drive velocity. You will be a critical member of a growing team, collaborating across Sales, Product, and Engineering to ensure our customers thrive and expand with us. 

At Dashlane you will:

• Architect Success at Scale: Manage a high-volume "Pool" of accounts using a "one-to-many" approach, utilizing automated health checks and AI-driven insights to intervene proactively.
• Drive EU-based Accounts: Fully own a diverse list of high-value EU customers, acting as their trusted advisor and subject matter expert.
• Lead Onboarding & Renewals: Direct the entire customer journey from the initial deployment, lifecycle, complex pricing negotiations and annual renewals.
• Leverage AI for Efficiency: Utilize modern AI tools to streamline communication, analyze customer sentiment, and optimize your bandwidth for high-value strategic work.
• Collaborate Globally: Work independently but stay deeply connected to our global teams in NYC and Paris, sharing feedback with internal development teams to shape the future of our product.
• Meet and exceed quarterly quotas to ensure Dashlane successfully retains and grows our existing account base revenue.
• Become an expert in Dashlane’s product, offerings and overall value to drive success with your customer base
• Proactively find opportunities for growth, both within your book of business and within our team’s processes and procedures

Requirements:

• 2+ years of Customer Success or Account Management experience, ideally within a fast-paced B2B SaaS or Tech environment.
• Business level fluency in English required
• Proven experience managing renewals and leading pricing/contract negotiations.
• You are comfortable using AI tools (i.e. Gemini, ChatGPT) 
• Exceptional organizational and prioritization skills, as well as a high degree of Operational Rigor
• As our first Lisbon hire, you must be resourceful and comfortable operating with minimal in-person supervision.

What we're also looking for:

• Business level fluency in French is a major competitive advantage
• A proven track record of consistently exceeding expansion or NRR quotas.
• Domain knowledge in Identity and Access Management (IAM) or cybersecurity.
• Experience with deployment strategies for technical IT audiences.
• High degree of perseverance and passion for our product and mission. 
• Tech-savvy, personable with natural problem-solving abilities and demonstrated discretion and ability to work with confidential information. 
• Ability to think critically, troubleshoot and solve complex problems in a fast-paced, data-driven, metrics-oriented environment

Location-Specific Information:

You will be based in Lisbon, with English as your working language. At Dashlane, we embrace a hybrid culture that combines the best of both worlds: the creativity and energy of in-person collaboration with the flexibility of remote work. Our model is designed to strengthen team connections while supporting individual productivity and work-life balance. To maximize collaboration, we come together in the office on Mondays, Tuesdays, and Thursdays, while Wednesdays and Fridays offer more flexibility for focused work.

What Dashlane offers you:

• Flex Benefits - allocate a monthly amount to a pool of benefits
• Health insurance covered by Dashlane
• 5 extra vacation days each year, plus your birthday off
• Company wide well-being days (one per quarter)
• Equal Parental leave - up to 20 weeks fully paid leave, within the first year of birth or adoption
• Donation matching program -  Dashlane will match your donations to organizations driving positive impact in historically marginalized communities
• Access mental health services through Spring Health, available for you and your family members
• Team building & social events - weekly lunch in the office and monthly happy hour
• and much more

Nossa área de Marketplace Engineering (AI Engineering)

Suas atividades como CSixer

• Desenvolver soluções de IA Generativa de ponta a ponta: da concepção ao ambiente produtivo.
• Liderar ou apoiar a criação de copilots, automações e assistentes para clientes e áreas internas.
• Evoluir nossa plataforma de LLMOps com foco em escalabilidade, governança, rastreabilidade e segurança.
• Trabalhar com times de arquitetura, engenharia, produto e operações em soluções integradas com impacto direto no negócio.
• Estabelecer boas práticas de CI/CD para IA Generativa em ambientes on-premise e cloud.
• Investigar causas de falhas e incidentes, propondo correções e melhorias estruturais.
• Promover boas práticas técnicas, revisão de código e troca de conhecimento.

Requisitos e Experiência

• Clareza na comunicação com perfis técnicos e não técnicos.
  
• Tomada de decisão técnica ou influência como referência no time.
  
• Capacidade de entender demandas de negócio e converter em soluções técnicas viáveis.
  
• Postura colaborativa, com foco em entrega contínua e melhoria incremental.
  
• Experiência com metodologias ágeis e visão de produto.
  
• Experiência com IA Generativa, LLMs, embeddings e NLP.
  
• Domínio de Python e bibliotecas como LangChain, Transformers, etc.
  
• Domínio de técnicas avançadas de RAG (re-ranking, chunking dinâmico, context-aware retrieval).
  
• Experiência com Git e bancos de dados relacionais e não relacionais.
  
• Vivência em Ciência de Dados aplicada a dados não estruturados.
  
• Experiência com ferramentas de LLMOps, pipelines e monitoramento de modelos.
  
• Diferenciais: Experiência com modelos open-source (Mistral, LLaMA, Mixtral, Phi).
  
• Atuação com agentes autônomos ou orquestração com LangGraph ou similares.
  
• Conhecimentos de protocolos como MCP e A2A.

Nossos Benefícios 

• Vale-Refeição;
• Vale-Alimentação;
• Plano de saúde e odontológico;
• Auxílio-Creche;
• Seguro de Vida;
• WellHub | TotalPass;
• Conexa | Psicologia Viva - Terapia online sem custo;
• Carbon Academy;
• Cartão C6 Carbon;
• Carbon Spa - Salão de beleza localizado em nosso escritório;
• Carbon Care - Ambulatório localizado em nosso escritório;
• Quick Massage;
• Sala de amamentação;
• Empresa Cidadã - Prorrogação do prazo da licença-maternidade e licença-paternidade;
• Bicicletário;
• Vestiário;
• Van corporativa;
• Espaço de convivência - Videogame, mesa de sinuca, playball, churrasqueira, chopeira, lanchonete, diversos locais de descanso, redes, cesta de basquete e horta colaborativa e orgânica.

Who You Are

You are a product-minded, forward-deployed, software application developer who bridges the gap between sophisticated data modeling and world-class user experiences. You believe that back-end data is only as valuable as the interface that makes it actionable. You are as comfortable architecting a high-performance Snowflake schema as you are crafting an intuitive React component. You thrive on being embedded with your users, translating the complex needs of battery engineers and operations into elegant software that serves as a "single source of truth."

Responsibilities and Duties  

• Embedded Product Development: Work directly with Engineering, Operations, Battery Teams, Finance, and Supply Chain teams to identify bottlenecks and build bespoke software solutions that accelerate our "bits-to-atoms" cycle.
• Modern Front-End Engineering: Design and implement sophisticated, responsive user interfaces using React and modern state management libraries. Focus on creating high-density data visualizations that make complex battery performance data easy to interpret.
• Application Data Layer Architecture: Design and evolve Snowflake schemas and data models specifically optimized for high-performance application interfaces. You will ensure the data layer supports both rapid transactional workflows and deep analytical exploration.
• Data Orchestration: Utilize dbt and Airflow as your toolkit to clean, transform, and move data into your application-ready schemas, ensuring end-to-end data integrity.
• Modern Observability: Use Datadog, Sumo Logic, and StatsD to monitor user interaction patterns and application health, ensuring high availability for business-critical workflows.
• AI-Forward Features (RAG): Deploy Retrieval-Augmented Generation (RAG) patterns to build "smart" tools that allow our engineering teams to query technical specs, experimental results, and financial data using natural language.

Knowledge and Skill Requirements 

• Front-End Mastery: Expert proficiency in React, TypeScript, and modern CSS-in-JS or Tailwind. Experience with data visualization libraries (e.g. Plotly, or Bokeh) is highly preferred.
• Application Backend: Expert proficiency in Python (FastAPI, Flask)
• Application Data Modeling: Advanced experience with Snowflake and dbt. You should be able to demonstrate how you design schemas—including graph-based relationships—to solve specific application and user-workflow problems.
• User-Centric Design: You should have a clear philosophy on how to make complex data-entry and data-analysis workflows intuitive.
• Workflow Orchestration: Experience with Airflow or similar tools to manage application-specific data transformations.
• Hands-on experience with Infrastructure as Code (Terraform), CI/CD and container orchestration (Kubernetes).
• Practical experience building RAG architectures and integrating LLMs into production application workflows.
• Native Mobile App Development: Experience deploying native iOS applications for internal business purposes
• B.S. or M.S. in Computer Science, Human-Computer Interaction, or a related engineering field.
• 6+ years for MS, 8+ years for BS of professional software development experience, preferably in hardware product technology and/or manufacturing environments
• A proven track record of building complex internal tools for Operations, Engineering, Battery Teams, Finance, or Supply Chain teams that emphasize user-centric design and high data density.
• Strong bias for action and the ability to work autonomously in a fast-paced, multidisciplinary environment.

Physical Demands and Working Conditions

• Move long distances (such as from building to building) and be stationary for extended periods of time
• Operate a computer and other office equipment, such as a laptop, copier/printer, etc in a fixed location

The starting base pay for this role is between $152,000 and $192,000 at the time of posting. The actual base pay depends on many factors, such as education, experience, and skills. Base pay is only one part of Sila’s competitive Total Rewards package that can include benefits, perks, equity, and bonuses.  The base pay range is subject to change and may be modified in the future.

 Who We Are

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, 31st Union, HB Studios, and 2K SportsLab. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA®️ 2K,  renowned BioShock®️, Borderlands®️, Mafia, Sid Meier’s Civilization®️ and XCOM®️ brands; popular WWE®️ 2K and WWE®️ SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR®️ 2K.

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We encourage ALL applicants to explore our global positions, even if they don’t meet every requirement for the role.  If you're interested in the job and think you have what it takes to work at 2K, we encourage you to apply!

 What You Will Do

 2K Games is building a world-class data ecosystem to power real-time analytics, machine learning, and game intelligence across all our franchises. We are looking for a Senior Product Manager, Data Science to drive the vision, strategy, and execution of our data science strategies and products, partnering with game studios and analytics teams to enable enhanced player experiences.

This role requires a blend of strategic development, product management expertise, and technical understanding of data science and machine learning (ML) methodologies. The ideal candidate will seamlessly integrate data-driven strategies with player-centric goals, ensuring AI and analytics improve game design, live operations, and business intelligence.

Strategic Vision & Product Leadership

• Develop and implement the product strategy for 2K’s central data science platform, partnering with Data Scientists across our gaming business units to drive predictive analytics, player personalization, and real-time decision-making;
• Collaborate with the Director of Product, 2K Data to align the data engineering roadmap with customer objectives and player-centric outcomes;
• Define and prioritize a high-impact data science roadmap to lead a team of central data scientists in driving a variety of use cases such as player retention modeling, dynamic content generation, and real-time fraud detection. 

Data Science Platform Development

• Lead the development of reusable and extensible machine learning models, feature engineering pipelines, and ML-driven insights using tools like Databricks, MLflow, and SageMaker;
• Ensure data science initiatives integrate seamlessly with the real-time data infrastructure, supporting streaming analytics, AI-powered LiveOps, and dynamic matchmaking systems;
• Establish and maintain self-service tools that enable game teams to experiment with and deploy AI models independently;
• Support the build and enhancement of the central ML feature store;
• Monitor and optimize model performance in production environments, using MLOps standard methodologies;
• Implement governance frameworks to ensure AI models adhere responsibly to data privacy, security, and compliance standards (e.g., CCPA, GDPR). 

Cross-Functional Collaboration

• Work closely with data scientists across game studios and business units to understand their data science needs and to provide data-driven solutions at the pace they need them;
• Act as a strategic liaison between data scientists and product teams, ensuring model outputs are actionable, reliable, and aligned with business goals;
• Promote a culture of experimentation and rapid iteration, supporting game studios with A/B testing frameworks, predictive analytics, and personalization engines.
• Find opportunities to enhance game design and player engagement through advanced analytics and machine learning.

 What You Need

• 7+ years of experience in product management with a focus on data science, analytics, or ML-driven products
• 5+ years of experience in gaming, technology, or entertainment industries;
• Strong understanding of data science methodologies, such as predictive modeling, natural language processing, and computer vision;
• Experience with data science tools and platforms, such as Python, SQL, Databricks,TensorFlow, and R;
• Customer-focused mentality with focus on the Why and What without getting lost in the What and the How;
• Consistent track record of delivering data science products and features from ideation to production, with measurable business impact;
• Ability to translate complex data insights into clear product strategies and business opportunities;
• Knowledge of real-time analytics platforms, streaming data processing, and feature store management;
• Familiarity with data governance frameworks, model risk management, and MLOps standard processes preferred;
• Advanced degree or equivalent experience in Data Science, Machine Learning, Computer Science, or a related field preferred.

The pay range for this position in California at the start of employment is expected to be between $109,800 and $162,480 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses.

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.

Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts. 

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