Company Description

This position focuses on the Retail sector of our business.  This role may be on-site, hybrid or remote.  Remote employees may still need to come in office on occasion.  Applicants must be in the Central or Eastern time zones.

RRD is a leading global provider of marketing, packaging, print, and supply chain solutions that elevate engagement across the complete customer journey. The company offers the industry’s most trusted portfolio of creative execution and world-wide business process consulting, with services designed to lower environmental impact. With 22,000 clients, including 93% of the Fortune 100, and 32,000 employees across 28 countries, RRD brings the expertise, execution, and scale designed to transform customer touchpoints into meaningful moments of impact.

Job Description

Coordinate production of client materials, or related services Maintain positive customer relations through active engagement of the customer through all stages of the manufacturing process from initial contact through final disposition of the customers product.

Responsibilities:

• Engage customers to gather job requirements and translate customer requirements in to detailed manufacturing/kitting instructions and shipping/postal instructions for disposition of the customers products.
• May make suggestions to customers regarding workflow/process improvements to proposed jobs to maximize the benefits to both the customer and the company.
• Provide quality review for other Account Specialists to ensure all information is accounted for and accurate before commencement of internal or external production.
• Ensure job instructions are entered and verified in the various manufacturing or procurement systems and queued in to the production schedule.
• Confer with customers throughout production to keep them informed of the status of jobs, solicit additional information needed for current jobs and coordinate changes to jobs.
• May forward/review proofs with customer, obtain approval of materials, such as artwork, color separations, or ink samples.
• Coordinate production of components with other internal plants and/or external vendors as required.
• Coordinate the resolution of customer or manufacturing issues with customer jobs.
• Engage appropriate departments to verify the issue and determine the root case.
• May make recommendations to management on appropriate response to issues that are in the best interest of the customer and the company.
• Communicate with customers regarding the resolution of issues.
• May provide pre-sales support with customers and discuss the manufacturing capabilities and requirements needed to produce a successful job.
• Monitor progress of jobs throughout production, confer with manufacturing operations on counts and final runs and ensure the final product meets customer requirements and company standards.
• Tally the final production runs and work performed to assemble paperwork for billing purposes.
• May mentor junior level staff or work on special projects.

Business Unit/Platform Specific duties

• May have responsibility for determining the supplies and paper needed for jobs including the use of vendors to supply component of the customer product.
• May assist sales in the RFP process supplying estimates and determining how to efficiently process a complete job.
• May have responsibility for the composition and/or copy prep of the customers products.
• Performs other related duties and participates in special projects as assigned.

Qualifications

• HS diploma or equivalent with 3+years of relevant administrative/operational support in manufacturing operations or office environment directly related to the duties of the job. May possess additional education certification in this level.
• Requires excellent knowledge of functional area(s) related to the job or good knowledge related to a professional field of work.
• May provide oversight of work conducted by junior level staff and/or review/audit work for accuracy.
• Must have advanced knowledge of technology to include computers and software programs such as MS Office or MAC word processing, spreadsheets or other programs specific to the job in order to complete job duties successfully.
• Must have excellent oral and written communication skills to communicate effectively across departments when completing assignments.
• Must have strong organizational skills with ability to manage deadlines and prioritize workload and make adjustments to meet business needs.
• Must be able to work weekends and holidays.
• Additional job knowledge, skills, and/or abilities specific to a department may be listed on the staffing requisition.

Additional Information

All your information will be kept confidential according to EEO guidelines.

All employment offers are contingent upon the successful completion of both a pre-employment background and drug screen.

RRD is an Equal Opportunity Employer, including disability/veterans

GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what's possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC. 

The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

An overview of this role

The Customer Success Engineer (CSE) role provides deep subject matter expertise on GitLab technical and product solutions and best practices. CSEs provide customers with technical guidance, go in-depth on use case implementation, and demonstrate the value of GitLab product capabilities.

The Senior CSE reports to the Manager/Senior Manager, CSE.

What You’ll Do  

• Engage with customers, via Zoom calls and emails, in a technical consultancy and advisor role during the post-sales process while providing technical and solution guidance
• Providing technical, architectural and best practice guidance
• Drive the achievement of measurable value (business outcomes), leading to product adoption, renewal, and expansion
• Align with Account Executives and Renewals Managers to provide customer-facing subject matter expertise based on the customer’s business objectives
• Focus on solution-based programs that are customized to fit an individual customer’s needs
• Develop and collaborate on customer workshops, demos, and other enablement
• Maintain specialty competency in one or more technologies related to GitLab’s market focus through activities such as training, certification and creation of working examples for reuse internally and by customers and partners
• Continuously improve professional skills with a focus on personal mastery and team learning through activities such as training, reading and seeking mentorship from others
• Contributes to our docs, YouTube channel, and other enablement programs such as the Digital Journey

What You’ll Bring 

• Experience with a GitLab use case (SCM, CI, CD, DevSecOps, Agile Planning) to provide in-depth customer guidance and enablement
• Proficiency using DevSecOps tools or highly technical tooling in adjacent fields
• Specialize in GitLab use cases to provide in-depth guidance and enablement to customers of all sizes, including large enterprise organizations
• Technical experience in development or systems engineering
• Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions
• Have demonstrated the ability to become a trusted technical advisor to customer and business leaders
• Exceptional verbal, presentation, and written communication skills
• Excellent time management and ability to work with several different teams at any given time

How GitLab will support you

• Benefits to support your health, finances, and well-being
• Flexible Paid Time Off 
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental leave 
• Home office support

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.  

Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.

GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

 

What Makes Us Stand Out:

With the combined strengths of SingleOps, Landscape Management Network (LMN), and Greenius, we lead the way in all-in-one business management solutions for the green industry. Every day, thousands of professionals in landscaping, tree care, design/build, snow removal, irrigation, and more rely on our tools to transform their business operations. From managing customer records and creating estimates to scheduling crews, processing payments, and gaining insights into real-time profitability—our software does it all. Together, our customers have processed over $4 billion in revenue, driving forward the green industry’s digital evolution.

As a team, we’re on a mission to reshape an age-old industry, and we’re looking for people who thrive on challenging and meaningful work. Our environment is highly collaborative, innovative, and supportive, with a shared commitment to having fun while making an impact. We live by our core values:  We Before Me, The Extra 1%, Bias to Act, Unconditional Transparency, Accountable to Outcomes, and Forgiveness. If this resonates with you, we’d love to meet you and explore how you can help us build the future of the green industry!

Our culture and growth has been recognized with multiple awards, it’s a great time to join! 

• Comparably 2024 #23/100 Best (small/ medium sized companies) Leadership Teams
• Comparably 2024 #63/75 (small/ medium sized companies) Happiest Employees
• #9 Atlanta Business Chronicle's 2024 Best Places to Work (Our second year in a row!) 
• #6 of Built In’s 2024 Best Places to Work: Top 50 start-ups in Atlanta  (Our second year in a row!) 
• Inc Magazine’s 2023 Best Places to Work 
• Inc. 5000: #131 of 2024 Southeast Regional America’s Fastest Growing Companies. (Our third year in a row!) 
• Inc 5000 America's fastest-growing private companies (Our third year in a row!) 
• Certified Great Place to Work Canada 2024

The Team

You’ll be joining our 30-person engineering organization, a collaborative group of passionate, product-minded builders and will report directly to the VP of Engineering. This team is responsible for evolving and adding powerful new capabilities to our mature, successful SaaS platform. They are the experts at building atop a solid foundation, and they are excited to rally around and support the new AI vision you will bring.

The Role

You will lead the charge in creating the next stage of our product's evolution. Your journey will be a creative one: from exploring cutting-edge techniques to shipping our first-ever intelligent features. You will define the AI roadmap, select the best tools for the job, and set the technical foundation for the future AI/ML team that will follow in the path you create.

The Challenges

• Charting the Course. You are the founder of our AI practice. The primary challenge—and opportunity—is to turn the blank slate of our AI strategy into a clear, strategic roadmap. You will be the one building this new dimension of our product from first principles.

• Building the First Engine. You will build our AI capability from scratch atop a solid foundation. This involves setting the standards, choosing the architecture, and establishing the patterns that will power our intelligent features for years to come.

• Pioneering Integration. The first of anything is always the hardest. You will navigate the unique challenges of integrating brand-new, intelligent systems with a mature platform, ensuring they are not just powerful, but also reliable, scalable, and seamless for our users.

Why This Role Matters

We're excited about this role because we know our customers still face tedious and time-consuming tasks every day. You will be the key person to help us reduce that drudgery and create unique, innovative experiences that enrich their lives. This is an opportunity to have a significant impact on our product, our company, and the lives of our customers.

Outcomes You Will Drive

• Design and deploy our first set of AI-powered features, moving from prototype to production.

• Develop a long-term vision and roadmap for AI within our product, focusing on areas like agentic workflows to automate complex customer tasks.

• Architect and implement robust LLM orchestration systems to create reliable and scalable features.

• Integrate AI/ML models into our existing platform, leveraging techniques like Retrieval-Augmented Generation (RAG) with our proprietary data.

• Establish best practices for the full AI/ML lifecycle, from model evaluation to deployment and monitoring.

What We're Looking For

We're looking for a seasoned, pragmatic, and product-minded engineer who thrives in a collaborative environment. You should be an excellent communicator who can articulate complex technical concepts to all audiences.

• 8+ years of overall software engineering experience, 6+ years of hands-on AI/ML experience

• Proven experience building and shipping AI/ML features in a production environment.

• Hands-on experience with Large Language Models (LLMs) like GPT, Claude, or open-source alternatives.

• Familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex, or similar tools.

• Experience with vector databases (e.g., Pinecone, Chroma) and embedding techniques.

• Strong programming skills, particularly in Python, and experience working within an established codebase.

• (Bonus) Experience with model fine-tuning and building complex, multi-step AI agents.

 

USA

Granum does not sponsor work authorization needs; candidates must have proper work authorization to work for any employer in the United States, without sponsorship from the company. 

Reasons why you would love it here!

• Join an incredible team culture that’s all about collaboration, support, and having fun while making a real impact every day.
• We prioritize your well-being with comprehensive health, dental, and vision plans for you and your family. 
• 401K Matching!
• We also offer additional options for HSA (with employer contribution!), FSA, Dependent Care FSA, short-term/long-term disability, life insurance, legal assistance, and much more!
• We invest in your growth through conferences, courses, or any tools that help you advance.
• Enjoy a great work-life balance with unlimited Paid Time Off, paid company holidays, and a company-wide shutdown from Dec 24 - Jan 1 for a well-deserved holiday break.

Granum is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

Granum participates in the federal eVerify program.

Canada

Granum does not sponsor work authorization needs; candidates must have proper work authorization to work for any employer in Canada, without sponsorship from the company.

Reasons why you would love it here!

• Join an incredible team culture that’s all about collaboration, support, and having fun while making a real impact every day.
• You want to be part of a fun, fast paced, collaborative team.
• An amazing culture with a team that supports one another, the opportunity to make a direct impact, and all the fun that’s included!
• Your well-being is important. We offer an employer funded HSA-based benefits plan with additional drug, dental, and mental health coverages, providing a flexible way to pay for healthcare costs.
• We are committed to supporting our employees' financial health through our RRSP matching program.
• Enjoy a great work-life balance with unlimited Paid Time Off, paid company holidays, and a company-wide shutdown from Dec 24 - Jan 1 for a well-deserved holiday break.

Granum reserves the right to change job descriptions as per the needs of the organization.

We are committed to making employment opportunities accessible in accordance with the Accessibility for Ontarians with Disabilities Act, 2005. If you require accommodation, please contact hr@granum.com.

 

At Angi®, we’ve had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need — and connecting pros with homeowners who have the jobs they want.

Angi at a glance:

• A new homeowner turns to Angi every second
• Our network has 150,000+ skilled pros in 50+ service categories
• 150,000,000+ projects brought to Angi (and counting)

Why join Angi:

Angi® is defining the future of the home services industry, creating an environment where homeowners, service professionals and employees benefit from more jobs done well. 

For homeowners, our platform makes it easier than ever to find a skilled pro for repairs, renovations, and everything in between. For pros, we're a business partner who helps them find the work they want and grow their business. 

We believe home is the most important place on earth, and so we work hard for our homeowners and our pros — making a real impact on families, communities, and livelihoods.

Angi is an amazing place to call home. We can’t wait to welcome you.

About the team

Angi is seeking an exceptional Staff Machine Learning Engineer who can enable our transformation into a world-class online marketplace. The role is in our Data Science and Machine Learning team, tackling challenges such as homeowner-pro matching, search ranking, and using predictive models to optimize our product and consumer experience. This is a technical leadership role where you will apply state-of-the-art machine learning and AI techniques such as LLMs and neural rankers to both structured and unstructured data. In addition to developing models, we’re also looking for someone who can deploy them at large scale with low latencies to serve our customers dynamically.

What you’ll do

• Model Development & Data Strategy: Lead development of machine learning models and algorithms to improve our search ranking and how we match consumers with pros. Success in these areas will impact user experience & engagement, retention, and conversion rates - critical metrics for business success.
• Model Deployment & MLOps: Implement robust MLOps practices to ensure the seamless deployment and scalability of machine learning models. This includes automating model training, versioning, monitoring, and deployment processes to enable fast, reliable delivery of machine learning solutions into production environments.
• Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, data scientists, product managers, and designers to build scalable and high-impact machine learning systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services.
• Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems.
• Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia.

Who you are

• You have a Master’s or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields).
• You have 7+ years of experience in data science & machine learning, with a focus on real-time ML models, ideally within the tech industry & marketplace environments. 
• You are an expert in machine learning and deep learning, and have a good working knowledge of large language models. 
• You have a proven track record of deploying highly impactful machine learning models into production environments.
• You are proficient in SQL and Python, and have experience with cloud ML solutions.
• You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.

We value diversity

We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.

Compensation & Benefits

• The salary band for this position ranges from $200,000 - $280,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living. 
• This position will be eligible for a competitive year end performance bonus & equity package. 
• Full medical, dental, vision package to fit your needs 
• Flexible vacation policy; work hard and take time when you need it 
• Pet discount plans & retirement plan with company match (401K) 
• The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world 

#LI-Remote
#BI-Remote

Machine Learning Engineer

This role exists to support the business in utilizing Machine Learning applications to drive additional value for our customers by feeding into the delivery of strategic data science solutions whilst setting up resilient and future-proof ML infrastructure and engineering foundations.

• Designing and developing our ML Operations (MLOps) infrastructure and practices to support the effective transition of machine learning models and PoCs into production in a cost and operationally efficient manner.
• Monitoring, and maintaining the health of new and existing ML models post deployment; Working with business stakeholders to proactively raise awareness of any risks to the model(s) outputs and/or their interpretation, and usability. 
• Implementing modern code development and MLOps strategies, in collaboration with Data Science and Data Engineering to support the proactive identification, targeting and resolution of any ML model(s) performance issues across their entire lifecycle.
• Developing operating procedures, work instructions and high-level designs of ML pipelines and architectures to support the effective documentation of our work.
• Working with third party partners and software providers to improve, implement and/or support the move to production of novel Machine Learning solutions. 
• Raising awareness of best practices for MLOps; collaborating and knowledge sharing with individuals across the data and software teams, and wider business.
• Collaborating with Data Science, Data Engineering and Software Engineering teams to drive cross-function visibility and reduction of technical debt across the teams.
• Designing and implementing ML infrastructure to support the deployment and monitoring of ML models in production in an efficient and cost-effective manner.
• Developing an MLOps strategy aligned to best practice and existing DevOps practices in Gymshark.
• Developing a strong knowledge of all data sources and maintaining relations with data users/processors across the business.

Essential:

• Extensive experience and expertise in Python. 
• Proven experience in modern code development practices and implementation of MLOps strategies in the cloud to drive operational and infrastructure cost efficiencies.
• Hands on experience designing, building, and maintaining ML infrastructure and taking ML models to production.
• Working knowledge of CI/CD practices.
• Strong stakeholder management skills: working collaboratively with Data Science, DevOps, Data and Software Engineering teams.
• Demonstrable experience of critical thinking, communication and problem-solving ability, and stakeholder management.
• Coaching junior engineers to support their technical skills development.
• Able to separate BAU from core objectives.
• Demonstrate delivery under pressure and to deadline. 

Preferred:

• Experience productionising recommender engines and ensemble ML in Google Cloud
• Experience or exposure to managing ML Infrastructure costs and operational reliability in the cloud.
• Willingness to learn new tools and techniques; proactively keeping up to date with latest thinking and practices in the data science space.
• Experience working in an e-commerce/retail market would be beneficial. 
• Embrace change with a positive outlook.  
• Confident to challenge, and receptive to being challenged. 
• The ability to thrive in a fast-paced environment.

Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus

Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

This role is for one of the Weekday's clients

Min Experience: 6 years

Location: Remote (India)

JobType: full-time

As the Machine Learning Operations Manager, you will oversee the end-to-end ML lifecycle — from model training and deployment to monitoring and optimization. You will lead a small, high-performing team of engineers while remaining hands-on in building scalable, reliable, and efficient ML infrastructure. This role combines strategic leadership with deep technical expertise to ensure smooth collaboration between research, engineering, and operations teams.

Requirements

Key Responsibilities:

• End-to-End ML Lifecycle: Manage training infrastructure, experiment tracking, deployment, and continuous optimization.
• Collaboration with Researchers: Partner with research teams to streamline training, evaluation, and fine-tuning workflows.
• Team Leadership: Mentor and guide a small team of ML engineers (3–4) while contributing as an individual contributor.
• Performance Optimization: Improve latency, throughput, and cost efficiency; ensure robust packaging and runtime reliability.
• Automation & Reliability: Develop systems for CI/CD, versioning, rollback, A/B testing, monitoring, and alerting.
• Infrastructure Management: Maintain scalable, secure, and compliant AI environments across training and inference stages.
• Cloud & AI Integration: Collaborate with cloud providers (AWS, GCP, Azure) and AI platforms to enhance tooling and optimize costs.
• Cross-Functional Collaboration: Support GenAI and AI-driven projects across teams beyond core MLOps responsibilities.
• Architecture & Roadmap: Contribute to architectural planning, documentation, and the continuous evolution of the ML stack.
• Best Practices: Promote automation, MLOps standards, and operational excellence throughout the ML lifecycle.

Requirements:

• 5+ years of hands-on experience in MLOps or ML/AI Engineering.
• Strong understanding of ML/DL concepts and applied experience in model training and deployment infrastructure.
• Proficiency with cloud-native ML tools (e.g., GCP Vertex AI, AWS SageMaker, Kubernetes).
• Experience working across both model training and inference systems.
• Familiarity with model optimization methods such as quantization, distillation, TensorRT, or FasterTransformer.
• Demonstrated ability to lead complex technical projects independently.
• Excellent communication and collaboration skills with a cross-functional mindset.
• Ownership-oriented approach with comfort in driving clarity in ambiguous situations.

Skills:
MLOps, ML Engineering, Machine Learning Infrastructure, Model Deployment, Model Monitoring, CI/CD, Vertex AI, AWS SageMaker, GCP AI Platform, Kubernetes, Docker, MLflow, Kubeflow.

About the company

At Weekday (backed by YC; also Product Hunt #1 product of the day), we are building the next frontier in hiring. We have built the largest database of white collar talent in India and have built outreach tools on top of it to generate highest response rates.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

Mercor is partnering with a leading AI lab to source experienced photographers for a short-term creative project. This is a unique opportunity for visual creatives to apply their expertise in a highly innovative, research-driven context. Candidates with recent photography experience, strong written communication skills, and interest in experimental visual formats are especially encouraged to express interest. We are looking to hire many photographers for this project!

• Capture and deliver original, high-resolution photographs aligned with provided guidelines
• Adjust lighting, composition, and framing for consistency across image sets
• Work with flexible style prompts that may include creative or atypical visual instructions
• Upload and tag image files using a standardized format
• Write clear and concise annotations describing the visual content, context, and style of each image

Qualifications

• Have access to a DSLR or equivalent camera and tripod (phone does not count)
• Experience with capturing high quality photography, whether in a professional, freelance or hobby capacity
• Currently attending or recently graduated from a college or university in the United States

Requirements

• Remote and asynchronous — control your own schedule
• Expected commitment: project-based, ~20 hours/ week
• May be extended based on output quality and interest

Benefits

• ~$60/hour (effective rate, paid per task completion and based on quality of output)
• You’ll be classified as an independent contractor

Company Description

• Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations
• Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Role Overview

As the Quantitative Research Team Lead, you will head a team of quants and researchers dedicated to developing trading strategies, improving alpha models, and optimizing execution. This role is both hands-on research and strategic leadership: you will drive model development, oversee research pipelines, and mentor team members while shaping Apexver’s research roadmap.

You will partner with traders, engineers, and data scientists to push the boundaries of what’s possible in high-frequency and systematic trading.

 

Key Responsibilities

    • Leadership & Strategy

        ◦ Lead, mentor, and grow a team of quantitative researchers.

        ◦ Define research priorities, align with trading and technology strategy, and ensure results deliver measurable alpha.

        ◦ Instill best practices for model development, testing, and deployment.

    • Research & Innovation

        ◦ Develop and refine alpha models, statistical arbitrage signals, and systematic trading strategies.

        ◦ Explore large-scale datasets to identify patterns, anomalies, and predictive signals.

        ◦ Partner with engineers to translate research into robust, production-ready systems.

    • Collaboration & Execution

        ◦ Work closely with traders and risk managers to integrate models into execution pipelines.

        ◦ Collaborate with infrastructure teams to optimize simulation environments, backtesting frameworks, and data feeds.

        ◦ Balance short-term opportunities with long-term research initiatives.

 

Qualifications

Required:

    • 7+ years of experience in quantitative research / systematic trading, with at least 2+ years in a leadership capacity.

    • Advanced degree (PhD strongly preferred, MSc acceptable) in Mathematics, Physics, Computer Science, Statistics, or related quantitative discipline.

    • Deep experience with time-series analysis, probability, statistics, and machine learning methods.

    • Strong programming skills in Python (for research) and familiarity with C++ (for production alignment).

    • Proven track record of delivering profitable trading strategies or alpha models.

    • Strong leadership, communication, and ability to align a multi-disciplinary team.

Nice to Have:

    • Background in high-frequency trading (HFT) or market-making.

    • Expertise in market microstructure, execution algorithms, or exchange connectivity.

    • Experience managing petabyte-scale datasets and distributed research pipelines.

    • Comfort with risk management frameworks and capital allocation.

 

Why Join Apexver?

    • Compensation & upside: €180k base salary + up to 100% performance bonus.

    • Impact: Shape the research direction of a fast-growing proprietary trading firm.

    • Collaboration: Work alongside elite engineers and traders on high-stakes challenges.

    • Innovation: Freedom to test ideas quickly, deploy models, and iterate in production.

    • Culture: Flat, collaborative, and meritocratic environment where best ideas win.

 

Application

If you are excited to lead a world-class research team, love solving problems where milliseconds and insights matter, and want to directly impact the future of Apexver’s trading business — we’d love to talk to you.

 

About the TeamThe People Programs team at OpenAI plays a pivotal role in creating an environment where every employee can thrive, grow, and contribute to our mission of ensuring that AGI benefits all of humanity. This expanding team develops and executes human-first strategies and programs that support our rapid growth, unique culture, and innovative spirit.Our Coaching, Learning & Development team manages programs ranging from new employee onboarding, manager development, and learning systems used across OpenAI.About the Role We’re looking for a Learning & Development Enablement Program Manager to build the systems, tools, and processes that power learning at OpenAI. This role focuses on enablement—designing the infrastructure and mechanisms that allow L&D programs to scale effectively across the company. You’ll help ensure our learning experiences are not only impactful but also repeatable, measurable, and sustainable.You’ll be a strong individual contributor who partners across the People team and business functions to make learning accessible, efficient, and engaging. You’ll architect scalable workflows, operationalize learning systems like our LMS (Sana), and create toolkits that empower others to deliver development programs with excellence. This role reports to the Head of Learning & Development and collaborates closely with L&D peers focused on onboarding, manager development, and career growth.Your ResponsibilitiesL&D Systems & Infrastructure: Design, implement, and maintain the core enablement infrastructure that supports OpenAI’s learning programs, including our learning management system (Sana).Toolkits & Playbooks: Develop templates, resources, and operational processes that enable consistent delivery and measurement of learning programs across teams.Program Enablement: Partner with other L&D team members to build scalable systems for onboarding, manager development, and team interventions—ensuring they run efficiently and can be replicated across orgs.Data & Insights: Build reporting and feedback loops to measure program reach, engagement, and impact; use data to drive improvements and inform strategy.Stakeholder Enablement: Empower People partners, facilitators, and business leaders with the right tools and training to deliver learning experiences confidently and consistently.Operational Excellence: Manage the day-to-day hygiene and optimization of learning operations—permissions, dashboards, content governance, and internal support triage.Cross-functional Collaboration: Work with People Ops, HRBPs, and business leaders to understand needs, streamline learning requests, and improve employee access to development opportunities.What We’re Looking For7+ years of experience in learning operations, enablement, or program management in fast-paced environments.Proven ability to design scalable learning systems and processes across global organizations.Strong project management and stakeholder communication skills.Experience managing LMS platforms (ideally Sana or similar) and building automated or data-informed workflows.Analytical mindset with the ability to translate metrics into actionable insights.Comfortable balancing strategy with hands-on execution—no task is too small when it comes to improving how people learn.A collaborative spirit and a passion for building a learning culture that supports growth and inclusion.Workplace & LocationThis role is based in our San Francisco office and we aren’t considering remote applications at this time. We offer relocation support to new employees, and we use a hybrid work model: three days in the office per week with optional work from home on Thursdays and Fridays.Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, a private outdoor space for working in the sun or socializing, nap rooms, private bike storage, and more.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. eClinical Solutions is committed to driving innovation in clinical trials through a better approach to data management and data analytics. We use the eClinical Solutions technology platform, elluminate, throughout the data management process to accelerate timelines for our clients and automate manual processes. We believe in a more agile approach to data management using our core technology elluminate - enabling our life sciences clients to proactively manage their clinical programs and make decisions.