Programme duration: From 4-6 months, starting in 2026. Most individuals join in April, May, or June of each year.    

Who qualifies: Penultimate or final year students completing a Bachelor's or a Master's degree. 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.  

Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.   

We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. 

 Your future role at QRT   

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. 

As a Quantitative Research Intern, you could contribute in one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies: 

Research 

Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.   

Trading 

You will contribute to the live deployment of QRT’s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production. 

We’re looking for interns who are curious, creative, and collaborative. If you’re passionate about learning, excited to take on challenges, and ready to make a real impact, you’ll find plenty of opportunities to grow with us. 

Your present skillset   

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering   

• High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus   

• Coding skills required in at least one leading programming language (Python and C++ or C#)  

• Experience in exploring large datasets across multiple time frames is a plus  

• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail   

• Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.  

• Excellent communication skills  

• Fluent in English, any other language is a plus  

Interviewing:   

• Apply online: applications are evaluated on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests. 

• Interviews conducted on-site or through Teams allow us to evaluate your technical abilities and how well you align with our company culture.   

We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: Challenge data (ens.fr)  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance 

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT

• Your core objective is to create high quality predictive signals.
• By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities.
• Share and discuss research results, methodology, data sets and processes with other researchers.
• Implement the signals and the relevant datasets within the global execution platform.
• Monitor signal behaviour and model performance over time.
• You would lead the full strategy research cycle from signal generation to implementation.

Your present skillset

• Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
• Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
• Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
• Coding skills required in at least one leading programing language (Python, R, Matlab and /or C++, C#).
• Experience in exploring large datasets across multiple time frames is a plus.
• Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
• Capacity to work with autonomy within a collegial and collaborative environment.
• Strong capacity to communicate with technologists, data scientists and traders across the globe.
• Proven track record in delivering successful systematic strategies.

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Join our Budapest team as an Office Manager, reporting to the Head of Global Facilities ensuring the smooth operation of our local office.

Your future role within QRT includes:

• Managing relationships with local office suppliers, ensuring reliable, cost-effective service through active vendor oversight and contract negotiation
• Support business travel needs resolving issues with our travel platform and helping onboard preferred hotel rates in line with policy
• Overseeing office supplies and consumables, including ordering, delivery, and stock management across the site
• Preparing meeting rooms and serving as the first point of contact for AV or equipment issues, liaising with IT as required
• Delivering a smooth onboarding experience for new joiners preparing welcome packs, conducting office tours and explaining key facilities and safety procedures
• Ensuring the daily upkeep and smooth running of the office environment
• Providing administrative support to the leadership team and coordinating as needed with key stakeholders
• Collaborating with global Office Managers to align practices and drive consistency across locations
• Supporting internal events and initiatives by assisting with logistics for team-building, philanthropy, and communications activities

Your present skillset:

• 5+ years’ experience in office coordination, facilities management, or a similar operational role
• Excellent organisational and multitasking skills, with a high level of attention to detail
• Strong interpersonal and communication skills, with a proactive and service-oriented approach
• Experienced working with vendors and external suppliers, with experience managing third-party relationships
• Confident using office software tools (e.g. Microsoft Office, Excel)
• Proficiency in both Hungarian and English is required
  
  

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Company Benefits & Perks

What will be your responsibilities within IBKR:

Technical Excellence

• Design, optimize, and extend transaction surveillance and data pipeline processes to enhance system efficiency, reliability, and scalability
• Navigate seamlessly between strategic, system-level architecture and function-level implementation details of our surveillance system, which orchestrates 150+ processes
• Optimize data architectures and databases for maximum performance and reliability
• Build developer tooling to accelerate development workflows and system monitoring
• Ensure data accuracy, security, and compliance with regulatory standards 

Ownership and Cross-Functional Partnership

• Take ownership of projects and sub-systems from planning through resolution, making impactful decisions on complex technical and business-related questions
• Collaborate effectively with quantitative engineers, surveillance model developers, and Compliance stakeholders to translate complex business requirements into scalable designs and processes
• Identify project bottlenecks, risks, and limitations; calculate costs; and provide strategic insights to stakeholders
• Transform high-level surveillance concepts into production-ready processes that deliver actionable insights

Data Architecture & Stewardship

• Own and curate dozens of mission-critical datasets that drive surveillance operations
• Design, build, and automate robust data pipelines to support real-time and batch processing
• Develop advanced data quality frameworks to proactively identify issues before they impact operations

Innovation & Optimization

• Contribute to the evolution of coding standards and internal code review processes
• Drive best practices in data storage, retrieval, governance, and privacy protection
• Drive automation of processes and workflows to reduce manual effort and enhance system maintainability

 Which skills are required:

• 5+ years of professional software engineering experience in Python, C++ or Java
• 3+ years of professional experience in Python as a primary language (non-scripting)
• Extensive experience in Pandas or NumPy, Polars is nice to have
• 1-3 years of professional experience with Linux operating systems
• Thorough understanding of databases and SQL
• Experience with large Python codebases
• Bachelor's or master's degree in Computer Science, or a related area
• High attention to detail

Good to Have:

• Experience with data engineering or ETL pipelines
• Knowledge of finance
• Knowledge of C++ or Java
• Masters/PhD

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

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

Company Benefits & Perks

This role is located in Budapest, Hungary — We are a hybrid work environment and are in the office 3+ days/per week.

Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage's Top Workplaces USA, and one of Built In Boston's "Best Places to Work" and "Best Midsize Places to Work."

About You

• You've built production data models and know how to turn vague business questions into clear, canonical definitions
• You use AI tooling as your primary mode of engineering and have developed a real point of view on how to deliver high-quality datasets when the technical work is done by AI
• You're comfortable engaging with stakeholders to untangle what they actually need and turning that conversation into a structured analytical approach
• You're looking for a role where agentic tools are the default, and where you can help shape how a central data team delivers the reliable signals that operational and strategic decisions depend on.

What Skills Do I Need?

• Bachelor's degree in a quantitative, technical, or business field, or equivalent working experience.
• 4+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership.
• Proficiency with agentic coding tools (e.g., Claude Code, Cursor) as your primary mode of building, testing, and documenting production data models, including shipping reusable assets that improve agentic workflows.
• Experience translating business requirements into structured analytical approaches, running workshops, and aligning stakeholders on canonical metric definitions.
• Strong data modeling skills and the ability to write performant SQL against cloud warehouses, with a strong emphasis on data quality and automated testing.
• SQL and Python proficiency for data modeling, pipeline orchestration, and API integrations using the broader data stack (dbt, Airflow, dlt, etc.).

Nice to Haves

• Experience with semantic modeling tools such as MetricFlow, Cube, or LookML
• Experience with data cataloging and metadata platforms such as DataHub or Atlan
• Familiarity with BI tools such as Tableau, Looker, or Sigma

Key Responsibilities

• Build and maintain data models and pipelines primarily using AI coding tools, with consistent best-practice patterns, clear documentation, and high-quality standards
• Build and improve agentic coding workflows to accelerate data modeling and testing, while staying in the loop on business logic, review, and company-specific edge cases
• Partner with stakeholders to surface conflicting metric definitions, run alignment workshops, and establish canonical standards across domains
• Define and enforce data quality standards across pipelines — including unit tests grounded in sample data and lineage-aware test placement — and enable domain analysts to follow the same standards
• Prototype and iterate on a semantic and context layer that makes Tulip's data accessible to both analysts and AI agents, including the documentation and instructions that let an LLM behave correctly against it
• Help the team make sensible calls about where on the risk curve to deploy AI: lower-risk for internal modeling and testing, more cautious for self-serve BI, and most cautious for anything customer-facing

Key Collaborators

• Commercial Teams
• Marketing Teams
• Product and Engineering Teams
• Operational Leadership
• Data Analytics stakeholders across departments

Working at Tulip

We know even great candidates experience imposter syndrome. Even if you don't match every requirement, applying gives you the opportunity to be considered.

We're building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:

• Direct impact on product and culture
• Private Healthcare insurance
• Company equity
• Virtual company events and happy hours
• Flexible work schedule and unlimited vacation policy
• Team Lunches in KFT Hub and office snacks
• Learning & Development benefits
• HU Eyeglass Benefit
• An inclusive, dog-friendly office with diverse and inspiring colleagues

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations.

Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: As a Software Engineer Intern at WorldQuant, you will join a team building high‑performance, mission‑critical systems that power our business.  We seek entrepreneurial, motivated candidates who have a passion for technology and aspire to have an impact. You may work on applications that support our investment and trading processes, or on the core infrastructure and platforms that enable large‑scale data processing, distributed computation, and automation across the firm. The work requires a solid understanding of how computers operate at a low level and the ability to turn that knowledge into robust, practical solutions. You’ll contribute to our next‑generation technology stack, helping to drive future growth and set a high bar for technical excellence in the industry.

What You’ll Do

• Design, build and maintain high‑performance, reliable software components used in our research and trading platforms;
• Develop data processing pipelines and distributed systems that operate at scale;
• Collaborate closely with researchers, engineers and other stakeholders to understand requirements and translate them into technical solutions;
• Contribute to code reviews, testing, monitoring and continuous improvement of our systems;
• Proactively seek opportunities to improve performance, reliability and developer productivity;

What You’ll Bring

• Currently pursuing a degree in quantitative or technical field (e.g. Computer Science, Engineering, Mathematics, Physics) with strong academic performance
• Strong programming skills in one or more object‑oriented languages (e.g. C++, Python)
• Solid understanding of software development principles and methodologies
• Excellent problem‑solving and analytical skills, with strong attention to detail
• Evidence of high achievement (e.g. academic awards, Olympiads, notable projects, or other areas of excellence)
• A mature, thoughtful working style, with the ability to thrive in a collaborative, team‑oriented culture
• Self‑motivation and initiative; you ask thoughtful questions, seek clarity where needed, and drive your work to high standards
• Interest in finance, quantitative trading or financial data a plus

#LI-DN1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: WorldQuant is seeking an exceptional candidate to join the firm as a Quantitative Developer. The right candidate will be able to use their development and practical thinking skills to slice through complicated challenges to find the most clear and effective solutions. Quant Developers will design, code and implement proprietary systems and tools to help bring research ideas to life, and have a real business impact. You will collaborate with Quant Researchers and Portfolio Managers, data scientists, mathematicians and computer scientists to gather, analyze and spec out requirements, develop and test code, and manage deliverables. A successful candidate will have a track record of solving problems, be comfortable thinking outside the box, and bring cross-disciplinary solutions into play
  
What You’ll Bring:

• 2+ years of hands-on experience as a developer
• Background in Computer Science, Engineering, or related discipline 
• Strong computer science fundamentals - algorithms, design patterns, OOP, threading, multiprocessing, etc. - Data Structure and Algorithms are the most important fundamentals in need, etc.
• Clean and Concise coding style
• Demonstrate mastery of any programming language. Python is best, or C++ is great, others are fine
• Experience working in Linux environments is a huge plus
• Experience building distributed or data intensive systems is a big plus
• Demonstrated problem solving abilities, insight, and judgment as well as a strong attention to detail
• Strong communication skills; ability to express complex concepts in simple terms, especially to non-experts
• Understanding of basic probability, statistical inference, software solvers, mathematical optimization is a plus, but not essential
• Interest and experience in LLM, agentic systems is a plus, but not essential

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams.

#LI-MH1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

About WorldQuant BRAIN:

BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant BRAIN provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more.

What You’ll Bring:

• 2+ years demonstrated experience developing scalable and robust software.
• Passion about software engineering, be strongly driven to build and run real-world applications at scale.
• Eagerness to learn and introduce new technologies. Be curious about what's happening in the tech world.
• Excellent coding skills, solid understanding of the broad Python ecosystem including Numpy, Pandas and Asyncio. Expertise in Python web frameworks such as Django, DRF, Flask or others.
• Experience with SQL databases (MySQL, PostgreSQL), including schema design, query optimisation and migrations.
• Experience with microservices, caching tools, data visualization, log collection and aggregation, search, queuing systems.
• Experience with Linux environment and shell scripting.
• Excellent debugging and problem solving skills.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 

#LI-MH1

The Role: 

• We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies

Job Responsibilities (include, but not limited to the following)

• Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures
• Lead, manage and grow quantitative investment portfolio
• Contribute to broader firm research and strategic initiatives

What You’ll Bring:

• 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe or equivalent research experience
• Strong programming skills in mainstream quant programming languages, such as Python and C++
• Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.

The Specialized Portfolio Manager Opportunity:

• Transparent and formula-based compensation
• Opportunities to contribute to other research and strategy initiatives
• Access to WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms
• Access to a deep and broad menu of datasets supported by a dedicated data team
• Cross-asset execution led by a multi-regional trading team
• Participation in internal research conferences and forums
• Autonomy to build your own strategies along with several opportunities for collaboration and mentorship
• Access to AI and Machine Learning opportunities applied to financial markets

#LI-JB1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

What You’ll Bring:

A successful candidate will possess:

• A minimum of 7 years of writing production-quality code in Python on Linux platform
• Candidate must be willing to learn C++. Experience in C++ is a strong plus
• Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus.
• Strong understanding and experience with Linux system programming fundamentals
• Ability to develop large-scale, distributed systems
• Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns.
• Self-motivated and able to work independently with minimal direction
• Proficiency in English

An outstanding candidate will also have experience with one or more of:

• Developing systems for managing and performing computation on large-scale graph data
• Streaming / dataflow systems
• Candidates need not have prior experience in financial services.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 
  
  

#LI-DN1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

What You’ll Bring:

A successful candidate will possess:

• A minimum of 7 years of writing production-quality code in C++ on Linux platform
• Strong understanding and experience with Linux system programming fundamentals
• Ability to develop large-scale, distributed systems
• Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns.
• Self-motivated and able to work independently with minimal direction
• Proficiency in English

An outstanding candidate will also have experience with one or more of:

• Python development experience is also a plus
• Developing systems for managing and performing computation on large-scale graph data
• Streaming / dataflow systems
• Candidates need not have prior experience in financial services.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 
  
  

#LI-MH1

This role is located in Budapest, Hungary - We are a hybrid work environment and are in the office 3+ days/per week.

Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip’s cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage’s Top Workplaces USA, and one of Built In Boston’s “Best Places to Work” and “Best Midsize Places to Work.”

About You:

You will play a crucial role in optimizing our business systems and driving operational efficiency across our business functions. You will collaborate closely with sales, marketing, post-sales, and finance teams to enhance processes and support strategic initiatives. You will be instrumental in leveraging technology to streamline operations and improve sales productivity.

What skills do I need? 

• 1 - 2 years of experience in Salesforce, including any combination of configuration and development, automation building, user management.
• Expertise in AI-driven automation and middleware, specifically using tools like Zapier, n8n, or Claude Code to build cross-platform workflows and simplify complex data management.
• Strong ability to partner with business stakeholders to understand business process challenges and provide guidance on technical solutions
• Proven ability to implement technical solutions that drive business processes
• Self-motivated and curious problem-solver who remains calm under pressure, driving impact and continuous development while managing competing priorities in a high-growth SaaS environment.
• BA/BS in Business, Engineering, or other quantitative field

Key Responsibilities:

• System Administration: Provision, troubleshoot, and support our commercial stack (Salesforce, Gong, ZoomInfo, Spotlight.ai, Amplemarket, etc.). Serve as the primary point of contact for all user and system issues.
• AI & Workflow Automation: Design and maintain scalable automations using Zapier and n8n; utilize Claude Code and other AI tools to write scripts, build integrations, and automate repetitive GTM tasks.
• Process Improvement: Partner with GTM leaders to identify gaps, prioritize enhancements, and maintain a clear roadmap that drives productivity and revenue impact.
• Data & Reporting: Ensure key objects and fields are structured for reliable reporting. Build or tune Salesforce reports and dashboards for ad-hoc and recurring analytics.
• Documentation & Enablement: Create succinct user guides, process maps, and change-logs so teams know how (and why) things work. Train users on new features and best practices.Security & Compliance: Partner with IT & Security to enforce role-based access, data retention policies, and audit requirements.
• Project Leadership: Lead small-to-mid-size projects from scoping through UAT and rollout.

Key Collaborators:

• GTM Operations
• Sales
• Customer Success
• Partner / Channel Team
• Marketing
• Finance

Working At Tulip

We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered. 

We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:

• Direct impact on product and culture
• Private Healthcare insurance 
• Company equity
• Virtual company events and happy hours
• Flexible work schedule and unlimited vacation policy
• Team Lunches in KFT Hub and office snacks
• Learning & Development benefits 
• HU Eyeglass Benefit
• An inclusive, dog-friendly office with diverse and inspiring colleagues

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations.