About Blank Street:

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

Add a Spark to the Ordinary...

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

Who We’re Looking For 

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

What You’ll Own

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

Requirements

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

Benefits & Perks 

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

Company Information

AMAROK is the Nation’s leader in the perimeter security industry! Our unique and technically advanced electric fence reliably stops theft and other criminal activity by guarding our customers’ property and assets 24/7 making us the Ultimate Perimeter Security solution. We are active in 48 states and Canada with more than 6,000 commercial and industrial locations.

Selling Power Magazine has named AMAROK the #1 Company to Sell For! We offer a competitive base salary ($70K-$85K) with an uncapped commission structure and an OTE of $125K+. Additionally, 80% or our sellers have reached their quota over the last five years.

We're looking for ambitious and driven individuals to join our high-performing Sales Development team. As an SDR, you'll be a crucial part of our growth, identifying and qualifying potential clients, and nurturing them through the sales pipeline. This is a fast-paced, results-oriented role for true hunters who thrive on challenges.

Essential Duties:

• Execute high-volume outbound prospecting campaigns (calls, emails, social media, site visits) – 25-35 daily touchpoints minimum.
• Analyze leads, prioritize opportunities, and determine the best path forward.
• Guide qualified leads through the sales process, ensuring smooth transitions to Account Executives.
• Maintain accurate and up-to-date records of all sales activities within our CRM system (Salesforce preferred).
• Partner with the sales team to develop and implement effective lead generation strategies.
• Embrace our proven internal selling method (SPARK) and actively seek ways to refine your approach.

Ideal Candidate:

• Confident, competitive, and driven to exceed expectations.
• Thrives in a fast-paced environment and can bounce back from setbacks.
• Strong verbal and written communication skills with exceptional interpersonal abilities.
• Prior B2B sales experience is a significant plus.
• Experience with Salesforce or similar CRM platforms is preferred.
• Collaborative and enjoys working within a high-achieving team.

Why AMAROK?

AMAROK has been recognized as one of South Carolina’s top companies to work for several years running! We are driven by our core values and strive to facilitate a greater sense of purpose in our career opportunities. Our leadership team is dedicated to providing a work environment that is collaborative and fun with a healthy work / life balance. 

A generous benefits package is offered to all full-time employees:

• Health Benefits (Medical, Dental & Vision)
• Matching 401K retirement plan
• FSA & HSA Account
• Tuition Reimbursement Program
• Short & Long-term disability
• Life Insurance
• Career advancement
• Generous PTO

See what our employees have to say about working for AMAROK! https://www.glassdoor.com/Reviews/AMAROK-Reviews-E603124.htm

Our recruiting experience is digital! AMAROK is an EEO/Affirmative Action Employer and will make all employment related decisions without regard to age, race, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status.

Once you submit your application, AMAROK will process the provided personal data to evaluate your candidacy for employment. For details regarding how your personal data will be used during an interview process, and to understand our commitment to keeping your personal data safe, please review our Data Privacy Policy here - https://amarok.com/privacy-policy/

Company Information

AMAROK is the Nation’s leader in the perimeter security industry! Our unique and technically advanced electric fence reliably stops theft and other criminal activity by guarding our customers’ property and assets 24/7 making us the Ultimate Perimeter Security solution. We are active in 48 states and Canada with more than 6,000 commercial and industrial locations.

Selling Power Magazine has named AMAROK the #1 Company to Sell For! We offer a competitive base salary ($70K-$85K) with an uncapped commission structure and an OTE of $125K+. Additionally, 80% or our sellers have reached their quota over the last five years.

We're looking for ambitious and driven individuals to join our high-performing Sales Development team. As an SDR, you'll be a crucial part of our growth, identifying and qualifying potential clients, and nurturing them through the sales pipeline. This is a fast-paced, results-oriented role for true hunters who thrive on challenges.

Essential Duties:

• Execute high-volume outbound prospecting campaigns (calls, emails, social media, site visits) – 25-35 daily touchpoints minimum.
• Analyze leads, prioritize opportunities, and determine the best path forward.
• Guide qualified leads through the sales process, ensuring smooth transitions to Account Executives.
• Maintain accurate and up-to-date records of all sales activities within our CRM system (Salesforce preferred).
• Partner with the sales team to develop and implement effective lead generation strategies.
• Embrace our proven internal selling method (SPARK) and actively seek ways to refine your approach.

Ideal Candidate:

• Confident, competitive, and driven to exceed expectations.
• Thrives in a fast-paced environment and can bounce back from setbacks.
• Strong verbal and written communication skills with exceptional interpersonal abilities.
• Prior B2B sales experience is a significant plus.
• Experience with Salesforce or similar CRM platforms is preferred.
• Collaborative and enjoys working within a high-achieving team.

Why AMAROK?

AMAROK has been recognized as one of South Carolina’s top companies to work for several years running! We are driven by our core values and strive to facilitate a greater sense of purpose in our career opportunities. Our leadership team is dedicated to providing a work environment that is collaborative and fun with a healthy work / life balance. 

A generous benefits package is offered to all full-time employees:

• Health Benefits (Medical, Dental & Vision)
• Matching 401K retirement plan
• FSA & HSA Account
• Tuition Reimbursement Program
• Short & Long-term disability
• Life Insurance
• Career advancement
• Generous PTO

See what our employees have to say about working for AMAROK! https://www.glassdoor.com/Reviews/AMAROK-Reviews-E603124.htm

Our recruiting experience is digital! AMAROK is an EEO/Affirmative Action Employer and will make all employment related decisions without regard to age, race, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status.

Once you submit your application, AMAROK will process the provided personal data to evaluate your candidacy for employment. For details regarding how your personal data will be used during an interview process, and to understand our commitment to keeping your personal data safe, please review our Data Privacy Policy here - https://amarok.com/privacy-policy/

Sales Development Representative

Location: London

Languages: Dutch & English

Experience welcome—but no experience? We’ll train you!

Sales Development Representative -

General Summary:

Are you ready to kick-start your career in sales? Join our dynamic team as a Sales Development Representative and become the driving force behind new business opportunities. This is your chance to learn, grow, and make an impact in the tech industry – no experience needed, just enthusiasm and a willingness to learn!

What You’ll Do:

• Be at the forefront of the sales process, supporting our sales team
• Proactively reach out to potential partners (50+ calls per day)
• Generate qualified leads and set up meetings to grow the pipeline
• Use industry insights and our value propositions to spark interest
• Take a consultative approach to uncover business needs and opportunities

What We’re Looking For:

• Fluent in Dutch and English
• Motivated, proactive, and eager to learn
• Strong communication and customer service skills
• A team player who loves collaboration
• Interest in IT, Software, and Tech

Why ConnectWise?

• Global brand, inclusive culture, and growth opportunities
• Hybrid work options
• Competitive salary and benefits
• Uncapped commission structure

About Blank Street:

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

Add a Spark to the Ordinary...

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

Who We’re Looking For 

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

What You’ll Own

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

Requirements

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

Benefits & Perks 

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

About Blank Street:

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

Add a Spark to the Ordinary…

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

Who We're Looking For

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

What You'll Own

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

Requirements

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

Benefits & Perks 

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

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Now, more than ever, the Toast team is committed to our customers. We’re taking steps to help restaurants navigate these unprecedented times with technology, resources, and community. Our focus is on building the restaurant platform that helps restaurants adapt, take control, and get back to what they do best: building the businesses they love. And because our technology is purpose-built for restaurants, by restaurant people, restaurants can trust that we’ll deliver on their needs for today while investing in experiences that will power their restaurant of the future. 

Bready* to make a change?

Toast is looking for a Staff Machine Learning Engineer to serve as a technical linchpin for our AI Platform team. At the P4 level, you aren't just deploying models; you are designing the fundamental infrastructure that enables dozens of teams to build, deploy, and monitor AI at scale. You will act as a force multiplier, mentoring senior engineers and setting the architectural standards for our MLOps lifecycle—from feature stores and automated retraining to high-performance inference at the edge.

About this Roll*:

• Architectural Leadership: Design and lead the evolution of a unified MLOps platform that supports diverse needs across Toast, ensuring high availability, scalability, and security of ML services.
• Engineering Excellence: Champion and institutionalize best practices for CI/CD for ML (MLOps), automated testing, and infrastructure-as-code (Terraform).
• Cross-Functional Synergy: Lead collaborative efforts across Data Engineering, DevOps, and Product teams to bridge the gap between model prototyping and production-grade reliability.
• Strategic Roadmapping: Partner with leadership and Product Managers to define the 1-2 year technical vision for AI infrastructure, prioritizing long-term stability over short-term fixes.
• Operational Ownership: Set the standard for observability and incident response for ML systems, driving root-cause analysis for complex system failures.
• Mentorship: Actively mentor P2 and P3 engineers, fostering a culture of technical rigor and continuous learning.

Do you have the right ingredients*?

• Education: Bachelor’s or Master’s degree in Computer Science, AI, or a related technical field.
• Experience: A minimum of 10-12+ years of professional software engineering experience, with at least 6-7 years specifically focused on productionizing and scaling ML systems at the enterprise level.
• Core Tech Stack: Expert-level proficiency in Python, Scala, or Java/Kotlin. Extensive experience with PySpark and high-performance computing.
• Generative AI & LLMOps: Proven track record of taking LLM applications from research to production, including experience with Vector Databases, LangChain/LangGraph, and A2A protocols.
• System Design: Superior ability to design distributed systems that handle millions of requests with sub-second latency.
• Experience with microservice based architecture, preferably with AWS tooling (SageMaker, DynamoDB, Athena, Glue, etc.)
• Experience in software engineering best practices and tools including object-oriented programming, test-driven development, CI/CD, git, shell scripting, task orchestration, MLflow
• Profound knowledge of model deployment, orchestration (Apache airflow, Prefect), scaling, and managing CPU/GPU resources efficiently. 
• Exceptional problem-solving, analytical skills and the ability to tackle complex problems with a critical thinking approach. 
• Outstanding communication and interpersonal skills, coupled with a demonstrated ability to work collaboratively within a team environment.
• Foundational knowledge in statistical concepts (e.g. classification, regression, etc) and deep learning algorithms (e.g. CNN, RNN) is desirable

Bonus Ingredients (The "Staff" Edge)

• Data Strategy: Experience implementing enterprise-grade Feature Stores (e.g., Tecton, Feast) and real-time streaming frameworks like Apache Flink or Ray.
• Full-Stack Visibility: Ability to dive into the UI/UX layer (React) or deep into the kernel/networking layer to debug performance bottlenecks.

Open Source/Community: Contributions to relevant open-source projects (MLflow, Kubeflow, etc.) or a history of speaking at industry conferences.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Within Verisign, our Data Engineering Team is responsible for designing, building and maintaining large-scale, high-throughput (millions requests per second) data products and services delivering actionable operational and business intelligence. To help us advance our products, we are looking for a skilled Mid-Level Data Engineer.

An ideal candidate should deeply care about all steps of data lifecycle (ingestion, enhancement, storage, processing, visualization), be fluent in a JVM-based language, and be eager to learn as needed. They should have an understanding of fundamentals including core Computer Science concepts accompanied by hands-on problem-solving experience ideally involving large-scale distributed systems. Obtaining these competencies often requires an equivalent of a bachelor’s degree and 5 years of practical work experience. We are also open to other career paths.

The candidate will be involved in all aspects of data engineering, including ideation, design, implementation, deployment, customer onboarding, and support. This will often imply regular cross-team collaboration with Verisign Data Platform, Business, Infrastructure, Engineering, Security, and Operations. We expect the candidate to take full ownership of the data products, regularly interacting with the internal customers, proactively identifying, prioritizing, and delivering on their common data needs.

Key Responsibilities:

• Design, build and optimize real-time and batch data processing pipelines.
• Develop and maintain data processing components that implement transformation, normalization, and enrichment logic.
• Build and maintain interactive dashboards and visualizations for internal stakeholders.
• Develop and maintain containerized workloads deployed in Kubernetes environments using CI/CD automation.
• Ensure system and data pipelines reliability through monitoring, observability, and alerting practices.
• Troubleshoot complex issues in distributed data systems and resolve performance bottlenecks.
• Support internal customers using data products and analytical platforms.
• Contribute to continuous improvement by applying data engineering best practices, particularly in hybrid cloud environments.

Required Skills

• Strong programming fundamentals with experience in object-oriented or functional programming languages
• Experience working with data lake and analytical technologies (e.g., Iceberg, Druid, Hive, Object Storage).
• Familiarity with streaming data platforms such as Apache Kafka.
• Experience implementing CI/CD pipelines (e.g. Jenkins).
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to collaborate effectively with cross-functional stakeholders.

Preferred Skills

• Proficiency in Java or other JVM-based programming languages (e.g., Scala).
• Hands-on experience with distributed data processing frameworks such as Apache Spark or Akka Streams.
• Experience with containerization and orchestration technologies (Docker, Kubernetes) in production environments.
• Strong understanding of distributed systems concepts and performance optimization.
• Experience working in large-scale, production-grade data environments.
• Experience with delivering business insights by leveraging data visualization tools such as Grafana, Tableau or Superset.

An ideal candidate will have a blend of technical skills, an intention to grow themselves and those around them, and allow Verisign to continuously improve the delivery of business and operational insights:

Qualifications:

• Bachelor’s degree in computer science or a related technical field, or equivalent combination of education and experience
• Prior experience developing and managing production-grade data pipelines
• Achieving this skill-set typically requires a minimum of 5 years of relevant industry experience in addition to a Bachelors or Masters degree, but we are open to alternative career paths

About Appier 

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

We're looking for an experienced data engineer to build and scale our data infrastructure. You'll work on mission-critical systems that power our data-driven decision making, designing robust pipelines and optimizing distributed platforms that process massive datasets.

Responsibilities

• Design, develop, and maintain production data pipelines processing hundreds of terabytes of data daily across distributed systems
• Build, manage, and optimize large-scale data platforms including Spark clusters, Kafka clusters, and related big data infrastructure
• Develop and operate data warehouse systems and ETL pipelines for data collection, processing, storage, and analytics
• Profile and tune performance of critical components to optimize throughput, reduce latency, and improve resource efficiency
• Establish architectural foundations and engineering best practices for the platform
• Design frameworks and tooling to streamline software development, deployment, monitoring, and observability
• Provide technical expertise and guidance on big data system design, performance optimization, and scalability challenges

About you

[Minimum qualifications]

• BS/MS degree in Computer Science or related technical field
• 2+ years of hands-on experience building and operating large-scale distributed systems
• Proficiency in Java and/or Scala for production-level development
• Proven experience building ETL pipelines and data processing workflows using Apache Spark
• Experience managing and optimizing data lakes or data warehouses at scale
• Ability to work independently and adapt quickly in fast-paced, dynamic environments
• Self-motivated learner who takes ownership, manages multiple priorities effectively, and thrives in collaborative team settings
• Experience deploying and managing infrastructure on public cloud platforms (AWS, GCP, or Azure)

[Preferred qualifications]

• Proficiency in Python and/or Golang for building production systems
• Experience profiling and optimizing JVM performance for high-throughput applications
• Hands-on experience managing and operating data platforms such as Hadoop, Kafka, Flink, Hive, Trino, Presto, or ClickHouse
• Knowledge of modern open table formats including Apache Iceberg, Delta Lake, or Hudi 
• Active contributions to open source projects (please include your GitHub profile if applicable)

#LI-AK1

As part of the Enterprise Data & Intelligence (EDI) team, you will play a key role in enabling company-wide data-informed decision making. Business and Product teams rely on our data assets to analyze and optimize user adoption, growth, and revenue.

The ideal candidate will have a strong mix of technical and collaboration  skills. They should be able to quickly understand business priorities and proactively develop and enhance tools, automations and analytics that support those priorities.

This role is based in our Warsaw office with an office-centric hybrid schedule - in-office days are Monday, Tuesday, and Thursday. 

We offer a Contract of Employment (UoP) for our employees in Poland.

What you’ll achieve

• Design, implement and scale end-to-end data products that support growing data processing and analytical needs.
• Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams.
• Establish trust and strong relationships across technical and business teams, ensuring alignment on data strategy and execution.
• Lead process automation efforts and proactively identify optimisation opportunities, improving data workflows and ensuring scalability.

About you

• 5+ years of hands-on experience in Data Engineering or Software Engineering.
• Degree in computer science, engineering or equivalent technical field experience.
• Proficient in cloud-based data processing and storage technologies like Databricks, Snowflake, AWS S3, Spark, Airflow.
• Fluent in SQL and proficient in at least one modern programming language (e.g., Python, Scala, Java).
• Proactive self-starter with a proven ability to identify opportunities, propose innovative solutions, and execute them effectively.
• Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.
• Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.

What we offer

• Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.) 
• Contract of Employment (with 50% tax deductible costs for author’s rights usage for Engineers) 
• Health insurance with dental and travel coverage (Lux Med) 
• Lunch catering on the days that you work from the office
• Career growth budget 
• Home office setup budget 
• Gym/Fitness reimbursement
• Fertility healthcare and family-forming support with Carrot
• Mental health support in Modern Health
• Group life insurance
• MacBooks with all necessary accessories

For this role, the estimated base salary range is between 20,833 - 22,983 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified.

Our total compensation consists of base salary and equity (RSUs). 

#LI-Hybrid 

Role:  Senior Transcreation Manager 

Location:  Amsterdam, Netherlands (hybrid)

Employment: 12-month FTC with view to extend

About the role: 

We are recruiting a Senior Transcreation Manager to work as part of our team and deliver excellent marketing communication in various languages (transcreations). As Senior Transcreation Manager you will be supervising and oversee transcreation jobs managed by yourself and by team members to ensure successful delivery of premium international marketing communication.

What you will be doing: 

• Build client relationship as part of the on-site Global team.
• Monitor your client’s satisfaction and take corrective actions to meet and exceed our client’s expectations.
• Responsible for quality planning and execution as well as improving transcreation processes, operational capabilities and increasing efficiencies by applying problem-solving techniques.
• Responsible for the achievement of transcreation key performance indicators, such as quality and efficiency of language management.
• Lead, appraise, mentor and motivate a team of Transcreation Managers and/or Transcreation Executives. 
• First point of escalation from team members, in-market creatives and clients.
• Direct the planning and execution of complex briefs going beyond translation and transcreation, including cultural consultation of campaign assets and ideas and collaboration with Creative and Production teams on localisation of campaign materials.
• Accountable for the successful achievement of gross profit targets and organic account growth.
• Discuss and negotiate with the client the transcreation scope of work and in agreement with the Transcreation Director. 

What you need to be great in this role: 

• Minimum of 6+ year working experience in language localisation is essential.
• Team management experience.
• Mastery in budget management (forecast, estimate, tracking, reconciliation, etc.)
• In-depth knowledge about the language industry and preferably experience in managing MT/AI workflows.
• Experience handling post-production process across different media as well as transcreation-adjacent workflows such as cultural consultation and QC of localised artwork and audio is a must
• University degree in languages, marketing, business or related fields.
• Native speaker of a language other than English is highly desirable.
• Full English proficiency. 

Req ID: 17485

#LI-JP1 #LI-Senior LI-Hybrid

Role:  Transcreation Manager 

Location:  Warsaw, Poland

About the role: 

We are recruiting a Transcreation Manager to work as part of our team and deliver excellent marketing communication in various languages (transcreations).

What you will be doing: 

As Transcreation Manager you will be planning and organising translation and transcreation jobs, liaise with in-market-creatives (copywriters, transcreators, translators and editors), allocate jobs and track project progress.  

We are strongly committed to delivering the best possible international communication, and part of your job is therefore to quality-check transcreations at different project stages. You will have the opportunity to liaise with various stakeholders and clients, as well as to build strong relationships with in-market creatives and work with different people and talents around the world. You will be working across all marketing channels and gain insights in other account teams such as production, digital, broadcast or on-site client teams.  

Part of the job is also to execute administrational tasks such as PO and raising sales orders, building glossaries as well as maintaining and managing translation memories. You will also be required to plan your projects at hand in a proactive manner, monitor their progress and solve problems that might arise. The ability to multi-task and a keen eye for detail are necessary.  

What you need to be great in this role: 

• Minimum 3 years working experience is essential
• University degree in marketing, languages, business or related field
• Native speaker of a foreign language is highly desirable (ideally English + French/Japanese/Korean/Dutch/German or Polish)
• On the job training will be provided 

Req ID: 17486

#LI-JP1 #LI- MidSenior #LI-Remote

Recognized for its innovative impact, Udacity part of Accenture continues to empower people with the skills they need to secure the jobs they want.

Our School of Data is committed to providing high-quality upskilling opportunities in this rapidly evolving field. We regularly launch new projects and are seeking experienced mentors to join us as external contractors to support our programs and learners.

As new initiatives arise, we will reach out to qualified candidates within this talent pool to provide details on project scope, expected timelines, and compensation. If you are passionate about tackling meaningful challenges and making a difference we invite you to apply and explore this opportunity to collaborate with us. 

You’ll be an excellent fit if you have:

• Proven technical expertise with 5+ years of experience in the relevant field
• A passion for mentoring and helping others succeed in their learning
• Excellent interpersonal skills. You enjoy building relationships, communicating effectively, and fostering a positive learning environment 
• A deep understanding of the tech industry and emerging trends in AI and related fields
• The flexibility to work part-time as an external contractor alongside your current commitments

Mandatory Technical Skills – School of Data

• Proficiency in Python and/or SQL
• Strong understanding of data analysis, statistics, and data modeling concepts
• Experience with data manipulation and visualization tools (Pandas, NumPy, Excel, Tableau/Power BI)
• Familiarity with ETL processes and data pipelines
• Understanding of databases (relational and/or NoSQL)
• Knowledge of data warehousing concepts and architecture
• Ability to work with large datasets and optimize data workflows
• Experience with data quality, validation, and governance practices
• Strong problem-solving and analytical skills

Preferred:

• Experience with big data tools (Spark, Hadoop)
• Familiarity with cloud platforms (AWS, GCP, Azure)

Exposure to real-world data projects (analytics, engineering, or architecture)

Responsibilities:

Your responsibilities as a technical mentor will be divided into three major tasks.

1. 1:1 video calls
2. Virtual Technical Deep-Dive Sessions
3. Group Q&A sessions

Personal 1:1 Session:

• Provide personalized support by addressing learner questions related to course content and projects.
• Prior to the call mentors are expected to review the students' previous project submission(s) - provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with.

Technical Deep-Dive Session:

• For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners.
• For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects.

Group Q&A Session:

• Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.

Why should you apply? 

• Make an impact by mentoring and contributing to a vibrant, global learning community
• Showcase your expertise and gain recognition for your technical knowledge
• Learn and network with our global community of mentors while staying ahead of the curve on cutting-edge technologies
• Earn additional income with the flexibility to work on your own schedule

Mentoring at Udacity offers a unique opportunity to make a significant impact on the lives of learners and to contribute to achieving our mission. 

If you're passionate about learning, technology and want to make a positive impact, we encourage you to apply to become a mentor at Udacity part of Accenture. 

Let's work together to shape the future of tech education!

CAPCO POLAND 

*We are looking for Poland based candidate. 

At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management.

Role overview: 

Key Responsibilities:

• Lead and coordinate test management activities for ETL migration programs
• Define and maintain test concepts, plans, and status reporting
• Manage and track defects across the test lifecycle
• Perform and support test reconciliation and validation processes
• Coordinate testing efforts across multiple stakeholders and workstreams
• Facilitate communication between business, IT, and vendors
• Prepare and deliver clear presentations and reporting materials (e.g. PowerPoint)Ensure adherence to quality standards and governance processes

Key Skills & Qualifications:

• Proven experience in test management within banking or financial services
• Strong expertise in ETL / data migration testingHands-on experience with defect management and test lifecycle processes
• Ability to manage complex stakeholder environments
• Strong presentation and communication skillsExperience working in large-scale, multi-stakeholder projects
• Solid understanding of banking business concepts
• Fluency in English (mandatory)
• German (nice to have)

We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.

RECRUITMENT PROCESS:

1. HR interview with the recruiter
2. Technical interview with Capco Engineering team
3. Client interview 
4. Feedback and offer

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you

So, what’s the role all about?

We are seeking a visionary Software Architect to serve as a technical leader for our engineering teams. In this role, you will bridge the gap between high-level strategy and hands-on execution, managing architectural subdomains within a large-scale platform. You will be responsible for guiding engineers toward correct technical paths, making high-stakes decisions, and relentlessly driving innovation and AI-first transformation across the organization.

How will you make an impact?

• Technical Leadership: Lead and influence multiple engineering teams, ensuring architectural alignment and high-quality technical decisions across subdomains.
• System Design: Architect resilient, multi-tenant cloud solutions and distributed event-driven systems that scale.
• Stakeholder Management: Collaborate with product leaders, directors, and cross-functional teams to navigate complex requirements in a multi-domain environment.
• API & Integration Strategy: Define robust API management strategies and ensure system resiliency through modern integration patterns.
• AI Integration: Evangelize and implement AI productivity tools (GitHub Copilot, Agents) and oversee the lifecycle of AI-driven applications utilizing LLMs.

Have you got what it takes?

• Total 14+ years and relevant 8+ years’ experience as Software Architect .
• Cloud Expertise: Proven track record of designing and deploying production-grade systems on AWS using a broad range of AWS native services.
• Architectural Depth: Deep experience in Multi-tenant Cloud Architecture, Event-Driven Systems, and Resiliency Patterns  
• Polyglot Mindset: A "right tool for the job" approach, with a willingness to work across various languages and frameworks in an AI-first environment.
• Communication: Exceptional ability to articulate complex technical concepts to both technical and non-technical stakeholders.
• AI/LLM Proficiency: It will be good to have a person with practical understanding of AI project lifecycle specifically using LLMs and the use of AI agents to accelerate development

• Backend: Advanced proficiency in Java and Springboot Framework. Exposure to Node.js will be a significant plus.
• Infrastructure: Hands-on experience with AWS CloudFormation (YAML) and Infrastructure as Code.
• Data: Strong mastery of SQL required
• Big Data exposure to Apache Spark or Big Data processing will be a bonus.
• Frontend: Solid understanding of modern UI frameworks and frontend development principles.
• Tooling: Expert-level use of Jira, GitHub, GitHub Copilot, and Claude Code/other AI agents for productivity
• Testing : good exposure to automation testing and frameworks for unit testing , integration testing , e2e testing, performance testing.

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr.

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID:  10835
Reporting into: Director, Engineering, CX
Role Type: Individual Contributor

Staff GenAI Research Scientist - Retrieval

P-1214

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

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

Job Description 

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

The Impact you will have

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

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

What We Look for

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

How you'll help us achieve it

We are looking for an AML Investigator familiar with money laundering trends and comfortable investigating complex cases to support our Financial Security Team’s mission to prevent, detect, and report suspicious activity. The position will report to our Senegal Compliance Analyst.

In this role, you will:

• Conduct investigations on alerts generated by our AML Transaction Monitoring system.
• Participate in enhancing alerts to reduce overall false positives and prioritize the investigation of suspicious activity.
• Support the Financial Security Manager in reviewing reports generated by other Analysts.
• Contribute to the effectiveness of the Transaction Monitoring System by identifying weaknesses and proposing improvement measures.
• Contribute to the generation of Financial Security reports. 
• Participate in awareness-raising and training activities relating to financial security.
• Carry out investigations into suspicious transactions and activities.
• Prepare suspicious transaction reports.
• Contribute to drafting reports and dashboard updates for Decision Makers.
• Assist the Financial Security Manager in ensuring the implementation of embargo restrictions issued by the regulator, with the approval of Wave's governing body.
• Gather information about requisitions from law enforcement authorities and/or the financial intelligence authority.
• Other duties may be assigned as required.

Key details

• Location: You'll work from our office in Dakar.
• You must have work authorization in Senegal.
• This is a permanent contract.
• Our salaries are competitive and calculated using a transparent formula. 
• We offer generous health insurance for yourself and your dependents.
• We support working parents - we offer (26 weeks for mothers and 4 weeks for fathers) and subsidized child care when you return to work.
• We help you live your fullest life now- we subsidize gym memberships and fitness classes.
• Airtime reimbursement.
• Free food and a beautiful office space.

Requirements

• Proficiency in spoken and written French and English. Fluency in Wolof and another local language would be an advantage.
• Bachelor’s degree or above in IT, finance, criminology, Risk Management, or other relevant disciplines.
• At least 3 years of relevant experience in AML Transaction Monitoring and/or Sanctions Screening at a financial institution.
• Compliance certifications, such as ACAMS, are a plus.
• Proficient knowledge of AML/CFT risks.
• Good knowledge of UEMOA financial security regulations.

You might be a good fit if you have

• Strong computer skills.
• Strong analytical skills.
• Good communication skills, both verbal and written.
• Self-motivated and able to work under pressure.
• Good attention to detail and seek excellence in everything you do.
• Intellectual curiosity and creativity in the way you go about tackling problems.
• A positive attitude and embracing failure as a means to spark innovation and growth.
• A willingness to go the distance to get something done.
• Experience working in a fast-paced environment and can adapt quickly to changing priorities.

How you'll help us achieve it

We are looking for field officers to manage product rollouts as we launch our business in one of these regions in Cameroon: Yaoundé, Bafoussam, Bertoua or Maroua/Kaéle. You will also represent Wave, oversee our distribution and marketing, interact with and recruit users, and conduct interviews with individuals about their needs and concerns related to money transfer and financial services.

In this role, you'll: 

• Identify and build a local agent network and guarantee the agent network is fully trained on applications, the contents of the contract before signing, rebalancing options, fraud management, etc.
• Recruit target users and onboard them on the use of Wave products
• Collaborate with Field Officers in different locations to progress the adoption of Wave products
• Ensure agent quality and compliance with legal and policy requirements.

Ensure all agents are well-branded and well-equipped. Monitor the cash and float availability at agent locations.

• Manage risk through routine visits to report emerging issues and assess agents' performance in your territory.
• Identify underperforming agents, close them, recover Wave items and equipment, and ensure that branding material is removed.
• Be the primary contact for all agency networks acquiring Wave products in your territory.
• Champion excellent customer service among distributors and agents within your territory.

Requirements

• Fluent French, with ideally a good command of one additional local language.
• Medium English Level.
• At least 2 years of relevant work experience, specifically managing an agent network in Cameroon, including a  minimum of 1 year of experience managing field-based teams
• Familiar with at least one of the regions listed.

Key details

• Location: This is a field role. You will be based in one of these cities and may travel to other field locations across the country based on business needs:
  
  • Douala
  • Maroua
  • Garoua
• Contract type: 6 months fixed-term contract.
• Work authorization in Cameroon is required.
• We offer generous health insurance for yourself and your dependents.
• Airtime reimbursement.
• Food allowance.

You might be a good fit if you

• Are excited about working in the field, as this is a largely field-operations role.
• Detail-oriented and seek to achieve excellence in everything you do.
• Are a clear and proactive communicator, able to independently follow through on tasks, and able to manage team priorities effectively.
• Enjoy teamwork, but also know how to work well independently.
• Are intellectually curious, creative in the way you go about tackling problems, and embrace failure as a means to spark innovation and growth.
• Communicate effectively and often, both in writing and in person, to the point of over-communication.
• Demonstrate tenacity and a willingness to go the distance to get something done.
• Are tech-savvy: comfortable navigating Excel and onboarding new tools.

Job Title: Data Analyst (Python +Pyspark)

 About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO? 

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Job Description:

POD Lead with Data Background, Scrum, Agile, Data Migration

• Design, deploy, and scale large-scale ML and data processing pipelines across cloud infrastructure.
• Build systems to ingest, process, and serve 250,000+ hours of multimodal data (video, audio, metadata).
• Architect and optimize GPU-based compute environments (e.g., NVIDIA Tesla clusters) for distributed training and inference.
• Develop high-throughput backend systems for video ingestion from desktop and mobile platforms.
• Implement distributed processing workflows, including job scheduling, fault tolerance, and resource allocation.
• Design and build human-in-the-loop and automated annotation systems to ensure data quality and scalability.
• Translate ML and multimodal research into scalable, production-grade cloud architectures.
• Optimize pipelines for performance, reliability, and cost efficiency across compute, storage, and networking layers.
• Collaborate with ML, data, and engineering teams to deliver end-to-end data workflows.

• 5+ years of experience in data engineering, ML pipelines, or distributed systems.
• Strong experience building scalable data pipelines for large datasets (video/audio preferred).
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Experience working with GPU-based environments and distributed computing.
• Strong programming skills in Python, Scala, or similar languages.
• Experience with data processing frameworks (Spark, Ray, Kafka, Airflow, or similar).
• Understanding of ML workflows, training pipelines, and inference systems.
• Experience designing fault-tolerant, high-availability systems.
• Strong knowledge of data storage systems (data lakes, object storage, distributed file systems).
• Ability to handle high-throughput, large-scale data ingestion and processing.

• Experience with multimodal AI (video, audio, NLP) systems.
• Familiarity with annotation tools and data labeling workflows.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Knowledge of cost optimization strategies for large-scale cloud workloads.

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

About your Team:

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

 What will be your responsibilities within IBKR: 

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

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

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

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

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

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

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

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

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

 What required skill’s you need:

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

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

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

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

· Strong SQL skills for data analysis and transformation

· Experience building and maintaining ETL/ELT pipelines at scale

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

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

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

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

· Exceptional problem-solving and analytical skills

· Excellent collaboration and communication (verbal and written) skills

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

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

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

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

Company Benefits & Perks

CSQ327R185

As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the entire non-technical lifecycle of an FDE engagement.

You will partner with our Account Executives to build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and, most importantly, scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing.

This role requires a rare mix of C-suite gravitas, deep product-style thinking, and a hands-on, get it done execution mindset.

The impact you will have:

• C-Suite Scoping & Value Definition: Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value ($10M+ problems), and define the pilot (MVP, success criteria, timeline).
• End-to-End Product Ownership: Act as the CEO of the project by authoring the PRD, prioritizing the engineering backlog, relentlessly managing scope, and acting as the primary hands-on QA tester.
• Agile Project Execution & Delivery: Drive the FDE build team via an agile process, manage all stakeholder communications from the C-suite to individual engineers, and act as the escalation manager to unblock all technical or political issues.
• Solution Launch & Landing: Own the Day 0 launch, manage the war room, and drive the solution from launch to full adoption by capturing user feedback, iterating, and proving the defined business value.
• Strategic Handoff & Growth: Scope the ongoing maintenance plan, create customer documentation/training, and leverage your trusted advisor status to identify the next high-value FDE engagement.

What we look for:

• Executive Presence & Communication: A Trusted Advisor with C-suite gravitas and superb communication skills. You are opinionated, humble, and can build rapport and drive decisions in days, not weeks.
• Product & Strategy Mindset: A Product Thinker and Systems Thinker who can perform a SWOT analysis, understand a competitive landscape, and define what to build and why.
• Relentless Execution: An Execution Driver with a Hands-On mentality. You are relentless, an expert at escalation, and willing to do the unglamorous work to get the project done.
• Ideal Experience: 2+ years as a Deployment Strategist OR 2+ years at a high-growth startup in a builder or founder capacity. (Alternatively: 5+ years in a senior, client-facing product or delivery role at a top-tier tech company or consultancy).
• Proven Skills: Demonstrated experience in value-based scoping (TCO/ROI), managing agile software projects, writing PRDs, and the ability/interest to travel up to 50%.

Req ID: FEQ427R72
Location: Singapore

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients in the Greater China Region to provide technical and business value in collaboration with Account Executives.
• Form successful relationships with clients in Greater China Region, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Apache Spark™.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).  
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.
• Business proficiency in Mandarin and experience in the Greater China Region are required to enable effective collaboration and understanding of client needs. The successful candidate will engage with the Greater China Region customers in Mandarin for technical sales discussions, address technical challenges, and articulate clear technical solutions and value propositions. 

Req ID: FEQ427R72
Location: Singapore

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients in Hong Kong to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gain excitement from clients about Databricks through hands-on evaluation and Apache Spark™ programming, integrating with the wider cloud ecosystem and 3rd party applications.
• Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups.
• Become a Big Data Analytics advisor on aspects of architecture and design.
• Support your customers by authoring reference architectures, how-tos, and demo applications.
• Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.

What we look for:

• Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
• Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset.
• Code in a core programming language such as Python, Java, or Scala.
• Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.
• Experience diving deeper into solution architecture and design.
• Proficiency in Cantonese is required as this role serves clients based in Hong Kong and involves direct customer communications in Cantonese

Req ID: FEQ427R72
Location: Singapore

FEQ426R34

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

The impact you will have: 

• Form successful relationships with clients In Taiwan, providing technical and business value to Databricks customers in collaboration with Account Executives.
• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups.
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions.
• Develop customer relationships and build internal partnerships with account executives and teams.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Apache Spark™.
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s).  
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.
• Proficiency in Mandarin is required as this role serves clients based in Taiwan and involves direct customer communications in Mandarin

SLSQ327R1

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

The impact you will have:

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

What we look for:

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

CSQ227R65

As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.

The impact you will have:

• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. 
• Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
• Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. 
• Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
• Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.
• Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.

CSQ227R65

As a Forward Deployed Engineer (FDE), you will embed directly with our most strategic customers to design and deliver custom fullstack applications and solutions on the Databricks Data Intelligence Platform and other common software stacks. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

This is a hands-on, customer-facing role for software engineers, developers, and builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for solving complex problems that drive measurable outcomes.

The impact you will have:

• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Application Engineering: Design and develop applications spanning backend, frontend, and integrations, bringing data and AI to life for enterprise users leveraging the Databricks platform. 
• Solution Delivery: Deliver production-grade systems from data ingestion and transformation through ML/AI model integration to user-facing applications and enablement.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Cross-Functional Collaboration: Partner with Sales, Product, and Field Engineering to ensure a seamless customer journey from pre-sales through post-deployment.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• Engineering Depth: Strong background in software engineering with experience across backend, frontend, and systems integration. Proficiency in Python, SQL, Java/Scala, JavaScript/TypeScript, and modern frameworks.
• Application Delivery: Demonstrated ability to design, build, and deploy production applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• AI/ML Experience: Familiarity working with AI APIs such as OpenAI, Anthropic, and Gemini into applications, and leveraging AI code generation tools to accelerate productivity. 
• Customer Impact: Proven track record of delivering technical solutions in enterprise environments that drive measurable outcomes.
• Collaboration & Communication: Ability to engage across a broad stakeholder range, from engineers to C-level executives, translating complex concepts into actionable solutions.
• Learning Mindset: Curiosity, adaptability, and eagerness to explore new technologies, domains, and customer challenges.

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

The Databricks AI Research organization enables companies to develop AI models and agents using their own data, with technologies ranging from post-training open source LLMs to developing advanced multi-agent architectures. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models and agents are just as valuable as any other core IP, and that high-quality AI should be available to all.

Job Description 

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

The Impact you will have

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

• Define and lead independent research agendas on foundation model efficiency in model training and reinforcement learning, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches
• Drive algorithmic innovations for large-scale neural network training or inference (e.g., novel optimizers, low-precision techniques, model adaptation methods)
• Optimize ML systems for distributed training, memory efficiency, and compute efficiency through hands-on implementation.

What We Look for

• MS/PhD in Computer Science or related field with strong foundations in machine learning and systems
• Proven ability to write high-quality, efficient code in Python and PyTorch for research implementation and experimentation
• Strong preference for candidates with first-author publications at top ML/systems conferences (ICLR, ICML, NeurIPS, MLSys) focused on optimization or efficiency.

Why Join Exadel 

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team 

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level 

Upper-Intermediate

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Who You Are:

You're a hands-on data engineer with several years of experience building and operating production data pipelines. You're fluent in Python or Java and comfortable across the modern data stack , AWS, Databricks/Spark, dbt, and Airflow. You care about data quality, write clean and well-tested code, and like owning systems end-to-end. You're curious about crypto and energized by working at the intersection of finance and emerging technology.

What You’ll Do:

• Partner across Galaxy’s business lines (Trading, Custody, Asset Management, Mining) to build and enhance a reliable and scalable data platform
• Design, build, and maintain scalable data pipelines (batch and streaming)
• Develop and operate high-throughput, low-latency data processing systems
• Work within the Databricks and Spark ecosystem to support large-scale data workloads
• Build and maintain cloud-native data solutions on AWS
• Leverage dbt for transformation, data modeling, testing, and documentation
• Use Airflow (or similar orchestration tools) to manage and schedule data workflows
• Write clean, efficient, and well-tested code, following best practices in software engineering
• Collaborate closely with product, analytics, and infrastructure teams to deliver impactful data solutions
• Contribute to technical design discussions and help improve system performance, scalability, and reliability
• Support production systems by troubleshooting issues and implementing improvements
• Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
• Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.

What We’re Looking For:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 5+ years of professional experience in data engineering or distributed systems
• Strong hands-on coding experience in Python, Java, or similar languages
• Experience building and operating both batch and streaming data pipelines
• Strong experience with AWS, Databricks/Spark, and modern data architectures
• Hands-on experience with dbt for transformations and Airflow (or similar) for orchestration
• Solid understanding of data modeling, data quality, and production data systems
• Experience working with relational and non-relational databases (e.g., Postgres, SQL Server)
• Familiarity with CI/CD, testing frameworks, and monitoring tools

Bonus Points: 

• Experience with dependency injections frameworks, ideally: Spring, Guice, HK2
• Experience with Docker
• Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support
• Experience in Crypto

What We Offer:

• Competitive base salary and discretionary bonus
• Flexible Time Off (paid)
• Hybrid Working Arrangements 
• Company-paid health and protective benefits for employees and their eligible dependents
• Free coaching and counseling sessions through Headspace
• Generous paid Parental Leave
• Free daily snacks in-office and weekly lunches 
• Opportunities to learn about the Crypto industry
• Smart, entrepreneurial, and fun colleagues
• Employee Resource Groups

*Benefits may vary depending on location.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Why Join Exadel

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.

What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client

Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.

The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.

Project Tech Stack

Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs

What You’ll Do

• Define and enforce best practices and coding standards across the project
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and helping manage the flow of day-to-day operations
• Communicating with the client regularly 
• Design, develop, and maintain robust and scalable Spark applications
• Write clean, maintainable, and efficient code following best practices and coding standards
• Optimize code for performance and scalability, ensuring efficient data handling
• Work closely with cross-functional teams to deliver high-quality software solutions
• Identify and resolve technical issues, ensuring the reliability and performance of applications
• Create and maintain comprehensive documentation for code, processes, and workflows

What You Bring

• 5+ years of hands-on experience in software development
• Extensive experience working with Apache Spark, including platforms such as Databricks and/or Azure Synapse/Fabric
• Proficient in Python, with strong skills in data manipulation using Pandas/Polars and similar
• Solid understanding of columnar data storage formats, particularly Parquet, with practical experience using Delta Tables
• Proven expertise in data processing, analysis, and transformation workflows
• Strong analytical and problem-solving abilities with a detail-oriented mindset
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines
• Solid understanding of microservices architecture and its implementation in scalable systems

Nice to Have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
• Familiarity with FastAPI
• Expertise in containerization and orchestration tools such as Docker and Kubernetes

English level

Intermediate+

Legal & Hiring Information

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel 

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Why Join Exadel 

We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.

From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.

About the Client  

The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.

Project Team 

Team composition: 4 Senior Data Engineers, 1 Project Manager, 1 Business Analyst, 1 QA Engineer, and 2 BI Engineers.

Project Tech Stack 

Main Tech Stack: Databricks (Spark, Delta Lake, SQL Warehouses), Azure Synapse, Azure SQL, Power BI (DAX, semantic modeling, RLS), SQL.

What You’ll Do

• Design and implement scalable data pipelines and lakehouse architectures using Databricks (Delta Lake, Spark)
• Execute migration from Azure Synapse to Databricks, ensuring performance, and reliability improvements
• Develop and optimize Databricks Data Warehouse for analytics and BI workloads
• Build and maintain semantic models to support enterprise reporting and self-service analytics
• Partner with analytics and business teams to deliver high-quality Power BI datasets and dashboards
• Write, optimize, and tune complex SQL queries for large-scale analytical workloads
• Ensure data quality, reliability, and governance across the analytics platform
• Contribute to architecture decisions, best practices, and standards for data engineering

What You Bring

• 5+ years of experience in data engineering or analytics engineering roles
• Strong hands-on experience with Databricks (Spark, SQL)
• Advanced SQL skills, including performance tuning and query optimization
• Experience migrating data platforms, ideally Azure Synapse → Databricks
• Experience with Power BI, including dataset modeling
• Strong understanding of Kimball Data Warehousing approach, star schemas, and analytics best practices
• Experience working with cloud data platforms

English level 

Upper-Intermediate

Legal & Hiring Information 

• Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
• Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
• Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs

Your Benefits at Exadel  

Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.

• International projects
• In-office, hybrid, or remote flexibility
• Medical healthcare
• Recognition program
• Ongoing learning & reimbursement 
• Well-being program
• Team events & local benefits 
• Sports compensation 
• Referral bonuses 
• Top-tier equipment provision

Exadel Culture

We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Role: Integrated Designer, 18-month FTC (f/m/d)

Location: Hamburg, Germany 

About the role:

Join our dynamic team as a delivery-focused Integrated Designer and play a key role in producing work for multiple clients in Hamburg and across Germany. In this role, you’ll take digital, print, and social content projects from brief through to final delivery. The ideal candidate has a sharp eye for detail and can confidently adapt designs, translating campaign assets and brand guidelines into high-impact creative..  

Key Responsibilities: 

• Collaborate with the team to produce design/adaptation to the client’s brief and exacting standards from the outset until completion, including digital, print, and social. 
• Positively influencing clients with creative input in addition to undertaking and pitching new creative concepts when appropriate. 
• Ensure consistency and quality across all design deliverables while adhering to brand guidelines and project specifications in a fast-paced, deadline-driven environment. 
• Have a strong knowledge of the brand guidelines to act as a brand guardian. 
• Communicate and present projects effectively to internal stakeholders and clients, incorporating feedback to refine and iterate designs as needed. 
• Create inspiring and exciting content, from repurposing, reformatting of assets to ideation. 
• Be an entrepreneurial lead on the development of creative and output. 
• Keenly evaluate and monitor industry trends and brands, AI, research industry developments in branding, automation and marketing to be at the forefront of creative excellence. 
• Proactivity and strong project management skills, teamed with an aptitude for managing multiple varying sized projects seamlessly  
• Ability to deliver final artwork and toolkits on digital and print based material. 

What good looks like: 

• Bachelor's degree in Graphic Design, Visual Communication, or a related field, plus 3+ years of experience in digital media, motion graphics, web design, artwork, print, production, and automation/AI.
• You’ll already an Integrated Designer eager for larger challenges and skill growth on big accounts, preferably with experience in large-scale FMCG, especially Beauty or Fashion. Must be versed in multiple channels, including TV, DOOH, press, direct marketing, display, social media, and content creation.
• 3+ years of professional experience in design, artwork and production 
• Proficiency in German & English (C1)
• Strong portfolio showcasing a range of design work across various platforms and mediums 
• Ability to engage and build rapport with clients, and organise and influence them  
• Capability to take initiative, think creatively, and solve problems independently
• Strong Adobe Creative Suite skills, basic Figma knowledge, and an understanding of emerging platforms with a willingness to adopt new software and AI efficiency tools.
• Comfortable in a fast-paced environment with multiple delivery needs – right first time 
• Appreciation of contemporary photography, positioning and cropping, with a skill for basic retouching 
• Strong typography, layout and technical skills with excellent attention to detail 
• Proficient in designing static and animated online banners, social media posts for Instagram and Facebook, web design, and UI design.
• An understanding of responsive design across all digital platforms 
• Stay up-to-date with industry trends and best practices in design, AI, social, technology, and marketing to continually enhance the quality and effectiveness of our work 
• Experienced in motion design, storyboarding, and animation using After Effects and Premiere.
• An understanding of automation software and willingness to embrace them 
• Working on print-based collateral with great knowledge of branding 
• The ability to talk through your ideas confidently with the team and clients 

Req ID: 17300

#LI-AB1 #LI-director #LI-Hybrid

About the team + role

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

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

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

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

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

What you’ll do

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

What you bring

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

What we offer

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

About the team + role

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

The Security Platform team is responsible for the secure lifecycle, governance, and protection of Robinhood’s most sensitive user data. This team builds foundational systems such as secure data pipelines, tokenization services, and privacy compliance infrastructure to ensure customer data is handled responsibly and in line with regulations. The team works closely with security, infrastructure, and product engineering partners to ensure data is both usable and protected. You will contribute to systems that support authentication, third-party integrations, and emerging AI-driven use cases.

As a Senior Software Engineer, you will design and build backend systems that securely process and manage customer data across Robinhood’s platform. You will own the systems that handle authentication, authorization, and privacy-preserving data operations. This role involves close collaboration with engineers focused on access management, infrastructure, and data systems. Your work will directly support efforts to improve system reliability, strengthen data protections, and enable new product capabilities using secure data.

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

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

What you’ll do

• Build backend services and data pipelines that securely store, process, and route customer data
• Develop systems for token issuance, user authentication, and anonymization to support privacy requirements
• Define and execute the vision for authentication across next-generation AI platforms, intelligent agents, and MCP ecosystems, shaping how secure identity works in an AI-first world
• Implement data retention and deletion workflows aligned with regulatory standards such as CCPA and GDPR
• Partner with access management engineers to enforce least-privilege access controls across systems
• Contribute to monitoring and auditing systems that track how data is accessed and used

What you bring

• You have 5+ years of software engineering experience focused on backend systems, data infrastructure, or security
• You are proficient in at least one backend language such as Python, Go, or Java
• You have experience building and operating services in cloud environments such as AWS and Kubernetes
• You have worked with distributed systems such as databases, messaging systems, or data processing frameworks (e.g., PostgreSQL, Kafka, Spark, Snowflake)
• You understand data protection principles such as encryption, secure data handling, and privacy-focused system design

What we offer

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

Job Title: QA Data Engineer

Location: Any Orion Innovation office in India(Pune/Mumbai/Kochi/Coimbatore/Chennai/Hyderabad)

Work type: Hybrid 

Role Description / Responsibilities

A technically skilled QA professional specialising in validating data platforms, ETL pipelines, analytical models, and large‑scale data transformations. The QA Engineer works closely with developers, data engineers, product teams, and business SMEs to ensure the quality, reliability, and accuracy of data assets across the delivery lifecycle. of our digital data audit products.

Core Responsibilities

Data Testing & Quality Assurance

• Design, develop, and execute test plans for data & analytics products, including ingestion pipelines, transformations, data models, and dashboards.
• Apply robust testing techniques for data completeness, consistency, accuracy, timeliness, and lineage.

Technical & Platform Responsibilities

• Write and execute SQL/PL‑SQL queries for data verification, profiling, and root‑cause analysis.
• Use Databricks to inspect data, validate notebook logic, execute test scripts, and investigate transformation failures.
• Work with Delta Lake, Spark DataFrames, and related components to test scalable data processing.

ETL/ELT and Pipeline Testing

• Validate end‑to‑end ETL/ELT workflows.
• Ensure correctness of data transformations and seamless movement between data layers.
• Conduct regression testing following schema evolution, code updates, or pipeline refactoring.

Collaboration & Delivery Practices

• Work closely with Data Engineers, Developers‑in‑Test, Business SMEs, and Product Owners to ensure high‑quality delivery.
• Provide clarity on data issues, identify root causes, and support resolution.
• Participate in refinement sessions to assess testability of new features and data logic.
• Contribute to automation frameworks, promoting continuous integration of data tests.

Automation & Scripting (Desirable)

• Develop automated test scripts using Python, PySpark, or Pandas.
• Contribute to automated test frameworks that validate transformations and data quality at scale.

Skills & Experience

Mandatory

• Proven experience testing data and analytics platforms.
• Advanced SQL and PL/SQL skills.
• Hands‑on experience with Databricks (notebooks, Delta Lake, Spark).
• Strong understanding of ETL concepts and data transformation methodologies.
• Experience validating large datasets, data pipelines, and data models.

Desirable

• Python for test automation and data manipulation.
• PySpark for distributed data testing.
• Pandas for lightweight automation and exploratory validation.
• Exposure to CI/CD, data observability tools, or version control (Git).

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

Who you are

We are looking for a highly motivated and analytical Data Scientist to join our growing data team. You will play a key role in extracting insights from large datasets, building predictive models, and supporting data-driven decision-making across departments.

What you'll do

• Collect, process, and analyze large datasets from multiple sources
• Build and deploy machine learning models to solve business problems
• Design and implement A/B tests and statistical analyses
• Collaborate with cross-functional teams (product, engineering, marketing) to define analytics requirements
• Communicate complex data insights in a clear and actionable manner to stakeholders
• Develop dashboards and visualizations to monitor key metrics
• Stay current with the latest trends and technologies in data science and AI

What we're looking for

• Bachelor’s and or Master’s degree in Computer Science, Mathematics, Statistics, or related field
• 4+ years of proven experience as a Data Scientist or Data Analyst
• Strong knowledge of Python/R and SQL
• Hands-on experience with machine learning frameworks (e.g., scikit learn, tensroflow, pytorch)
• Experience with big data tools (e.g., Spark, Hadoop)
• Familiarity with data visualization tools
• Strong analytical, problem-solving, and communication skills

While not required, these are a plus:

• Experience with cloud platforms preferably AWS (S3, Sagemaker, Airflow etc)
• Strong SQL skills, with experience in Snowflake, MySQL, and PostgreSQL
• Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker)

3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping both customer-facing and business-facing data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with engineers, product managers, and data scientists to understand data needs, and develop end-to-end data pipelines, solutions, and foundational data sets
• Design and own the data architecture for large-scale projects, making informed decisions about design and operational trade-offs
• Build, launch, and optimize sophisticated data pipelines, data models, and visualizations that support diverse use cases across multiple products or domains
• Define and manage Service Level Agreements (SLAs) for all data sets within areas of ownership
• Implement data security models based on privacy requirements, ensure compliance with safeguards, address data quality issues, and evolve data governance processes
• Solve complex data integration challenges using optimal ETL/ELT patterns, frameworks, and query techniques for both structured and unstructured data sources
• Maintain and enhance existing production processes by optimizing complex code using advanced algorithmic concepts 
• Optimize pipelines, dashboards, frameworks, and systems to streamline data artifact development
• Mentor team members, providing and receiving actionable feedback to foster skill growth and collaboration
• Ensure flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in computer science, Computer Engineering, or a relevant technical field; a master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt 
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Hands-on experience with RDBMS such as MySQL, MS SQL Server, and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Experience with Spark and PySpark to handle large-scale data processing and enhance data pipeline efficiency
• Strong proficiency in Terraform is a must-have.

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub
• Observability: Datadog

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite

Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

What you'll do

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What we're looking for

• 5+ years experience with data/analytics engineering
• 5+ years of experience with Python and SQL (preferably Snowflake)
• 3+ years of experience with dbt (dbt certification a plus)
• Owned large-scale data projects that drove significant impact across the company by effectively partnering with engineering, data analysts, data scientists, and other business stakeholders
• Mentored other stakeholders in Data Science/Analytics, PM, and Engineering on data best practices
• Led the design, implementation, and monitoring of large-scale data warehouses and data marts that enable clear product-focused insights
• An expert at SQL, window functions, STRUCT/ARRAY manipulation, and query optimization
• Promoted performance best practices for your tables depending on the database engine (partitions, sort keys, dist keys, clustering, incremental modeling)
• Designed systems with a test-driven approach in mind to trap bad quality data or highlight alerts as part of your data flow
• Familiarity with ELT (Extract, Load, Transform) processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines

Our Stack

• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub
• Observability: Datadog

3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. #LI-SR1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a proactive, customer-centric IT Support Tech, Tier 1 to join our Global Service Desk based in India. You will serve as the first point of contact for our North American domestic enterprise, providing high-quality phone and digital support to employees spanning from our West Coast corporate headquarters to our primary East Coast offices. The ideal candidate will be responsible for resolving foundational technical issues while maintaining exceptional verbal clarity and professionalism, ensuring business continuity across all U.S. based time zones through high-touch partnerships and technical expertise.

What you'll do

• Serve as the face of IT, delivering high-touch support across live phone queues and Jira Service Management to ensure a seamless experience for our global workforce
• Master the Metropolis identity stack to resolve complex JumpCloud MFA hurdles and credential synchronization issues
• Act as a remote diagnostic expert for the Windows ecosystem and Google Workspace, resolving connectivity and software roadblocks
• Provide dedicated technical oversight for VPN stability and network resource access to safeguard mission-critical operations
• Translate intricate technical workflows into clear, actionable guidance for non-technical users while maintaining a white-glove service standard
• Maintain high-integrity records of all support interactions within Jira to ensure accurate data for escalation and trend analysis
• Champion enterprise security by coaching users on MFA best practices and proactive credential management
• Recognize high-complexity technical barriers early and facilitate warm hand-offs to senior engineering teams to minimize user downtime
• Experience leveraging AI tools to transform static workflows into responsive, high-output processes

What we're looking for

• 1+ years of experience in a high-volume technical call center or phone-based IT Support
• Exceptional command of the English language with clear, professional diction and a customer-first communication style
• Demonstrated experience with Identity Providers such as JumpCloud, Active Directory, or Okta
• Experience utilizing remote desktop support tools
• Solution-oriented mindset with the ability to remain calm and professional under pressure
• Ability to work a rotating shift schedule that aligns with North American business hours
• Ability to operate a computer and document notes in real-time at 40+ WPM

3 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins.#LI-SR1 #LI-Onsite

【About the role】

We are seeking a Data Analyst Intern in Taiwan that will be part of a product R&D team. The role will perform data analysis to help Appier teams to answer business or operational questions.

We are seeking potential candidates who can commit to 2-3 days a week and participate in the internship for a minimum of 6 months, starting immediately. Please ensure that you have checked your availability before applying.

【Responsibilities】

• Interpret trends or patterns from complex data sets by using statistical and visualization tools.
• Conduct data analysis reports to illustrate the results and insight
• Working with scientists and engineers to monitor and diagnose the system
• Develop tools and systems that optimize analysis process efficiency and report quality.

【About you】

[Minimum qualifications]

• Senior students in college or graduate students in related field
• Good analytical skills to extract meaningful insights from the data.
• Good ability to communicate data analysis insight to audiences with different backgrounds.
• Proficient oral and written communication skills in English.
• Analytical skills and tools: Statistics knowledge and skills, using SQL to do basic data extraction and aggregation, Spreadsheet/Excel.
• Machine Learning skills: sufficient know-how of machine learning and basic experience of using machine learning tools.
• Programming skill: can write Python scripts for simple job automation.

 [Preferred qualifications]

• Working experiences in digital advertising industries.
• Hands-on experience in utilizing analytic/visualization tools (SQL, R, Tableau).
• Advanced Python programming: e.g. able to do complex analysis using Python.
• Experience in writing Spark programs for data analysis.

Role: Operations Director 

Location: Hybrid

A little bit about the role - 

The Hub Operations Director is accountable for the leadership, performance, and scalability of OLIVER's centralised production hub for the Beauty & Wellbeing portfolio. You'll lead a multi-disciplinary team of Makers — Designers, Creatives, Data Analysts, and Project Managers — delivering premium assets across global markets to brand standards that leave no room for inconsistency. 

Operating in close partnership with Delivery, Production, Finance, and People teams, you'll own capacity planning, resource management, workflow design, commercial/utilization discipline, and the systems that underpin hub performance day to day. This is a leverage and scale role: your job is to build a stable, high-performing production engine that senior leadership can rely on — one that delivers quality, manages risk, and protects margins as the hub grows and the portfolio evolves. 

Beyond scheduling and coordination, you'll act as the critical link between in-market Account Service and Creative — facilitating workflow, resolving operational bottlenecks, and maintaining the clear processes and frameworks that enable the Hub's production teams to focus on delivering high-quality, AI-assisted creative at scale. You may independently lead small projects and will be responsible for ensuring the delivery of data analysis and reporting that informs resource planning and operational performance across the studio. 

WHAT YOU'LL DO 

Resource Planning & Coordination 

• Coordinate and plan Maker Hub resources to support the delivery of Gen AI-led creative projects across multiple markets — ensuring the right technical expertise is assigned to the right projects at the right time. 

• Create, maintain, and manage project schedules across social, digital, e-commerce, and creative production workstreams — keeping delivery timelines accurate and up to date. 

• Own and optimise workload distribution across the Hub's AI-enabled production teams — balancing capacity, managing competing priorities, and proactively addressing resourcing gaps. 

• Create, maintain, and analyse utilisation reports to ensure balanced workload and maximum team effectiveness — sharing insights with studio and market leadership as required. 

• Lead multiple market operational planning to support the effective delivery of AI and technology-driven projects across all active markets. 

• May independently lead small projects from planning through to delivery. 

Workflow & Operations 

• Act as the liaison between in-market Account Service teams and Creative — facilitating workflow, validating requirements, and ensuring briefs and deliverables are clearly understood by all parties before production begins. 

• Drive operational efficiency through clear processes and frameworks that enable production teams to focus on delivery and innovation. 

• Identify and proactively resolve operational bottlenecks — escalating issues to senior leadership where required. 

• Own the new starter onboarding process for Maker Hub team members — ensuring smooth integration into studio structures, tools, and workflows. 

• Develop expert-level proficiency in OMG, our proprietary project planning software, and Pencil, our proprietary Gen AI production tool — acting as a go-to resource for the team on both platforms. 

Stakeholder & Client Management 

• Manage relationships with in-market stakeholders and agency partners — supporting quality delivery on time across all active markets. 

• Support market senior leadership with commercial and financial planning, administrative tasks, and operational reporting as required. 

• Ensure the delivery of data analysis and reporting — tracking project and department utilisation and presenting findings clearly to relevant stakeholders. 

Financial Administration 

• Support accurate and timely project-level financial administration relating to resource utilization 

• Flag financial risks or resource utilization variances to the senior leadership team early. 

WHAT YOU BRING 

Resource Planning and Operations 

• Experience in resource planning, scheduling, or project coordination within a creative production, agency, or in-house studio environment. 

• Demonstrated ability to coordinate multiple production and creative workstreams simultaneously — managing complex scheduling requirements across diverse project types with precision and clarity. 

• Strong operational mindset with a proven track record of delivering efficient processes that enable production teams to perform at their best. 

• Experience creating and maintaining utilisation reports and using job and time reporting systems to estimate, track, and analyse projects and department capacity. 

• Proactive approach to identifying and resolving operational bottlenecks before they impact delivery. 

• Experience independently leading small projects from initiation through to completion. 

Workflow and Stakeholder Coordination 

• Experience acting as a liaison between client service, account management, and creative or production teams — facilitating workflow and ensuring requirements are validated before work begins. 

• Strong written and verbal communication skills — able to translate operational information clearly for diverse audiences across markets and functions. 

• Experience managing relationships with in-market stakeholders and external agency partners to support on-time, quality delivery. 

• Familiarity with onboarding processes and integrating new team members into studio or production environments. 

Tools and Technical Knowledge 

• Proficiency in Microsoft Office and related software, including project planning and scheduling tools. 

• Experience with or the ability to develop expert-level proficiency in proprietary project planning tools such as OMG and Gen AI production platforms such as Pencil. 

• Familiarity with digital asset management, creative review systems, and approval workflows in a content production context. 

• Understanding of marketing channels, assets, and workflows across social, digital, and e-commerce is an advantage. 

• Experience in quality assessment of work delivered by a production hub or creative team. 

Gen AI & Agentic Thinking 

• Proficiency with Gen AI tools relevant to resource management and production coordination workflows — using AI to improve scheduling, reporting, and operational efficiency. 

• Experience building personal AI workflows to improve day-to-day efficiency and output quality. 

• Agentic approach to operational challenges: breaking down complex, multi-market coordination tasks into clear, manageable steps and finding efficient paths forward. 

• Ability to critically evaluate AI outputs and apply sound judgement before incorporating them into operational processes or client-facing deliverables. 

Req ID - 17306

#BTG+ #LI-PG1

Role: Snr  Resource Manager 

Location: Hybrid (Mumbai Office)

A little bit about the role -

The Maker Hub Resource Manager is the operational backbone of Beauty AI Studio (BAIS) — responsible for coordinating project activities, validating requirements, and creating and managing project schedules that keep multi-market creative delivery on track. You'll own resource allocation and workload distribution across the Maker Hub, ensuring specialised production and creative teams are deployed effectively across all active workstreams. 

Beyond scheduling and coordination, you'll act as the critical link between in-market Account Service and Creative — facilitating workflow, resolving operational bottlenecks, and maintaining the clear processes and frameworks that enable the Hub's production teams to focus on delivering high-quality, AI-assisted creative at scale. You may independently lead small projects and will be responsible for ensuring the delivery of data analysis and reporting that informs resource planning and operational performance across the studio. 

What you'll doing -

Resource Planning & Coordination 

• Coordinate and plan Maker Hub resources to support the delivery of Gen AI-led creative projects across multiple markets — ensuring the right technical expertise is assigned to the right projects at the right time. 

• Create, maintain, and manage project schedules across social, digital, e-commerce, and creative production workstreams — keeping delivery timelines accurate and up to date. 

• Own and optimise workload distribution across the Hub's AI-enabled production teams — balancing capacity, managing competing priorities, and proactively addressing resourcing gaps. 

• Create, maintain, and analyse utilisation reports to ensure balanced workload and maximum team effectiveness — sharing insights with studio and market leadership as required. 

• Lead multiple market operational planning to support the effective delivery of AI and technology-driven projects across all active markets. 

• May independently lead small projects from planning through to delivery. 

Workflow & Operations 

• Act as the liaison between in-market Account Service teams and Creative — facilitating workflow, validating requirements, and ensuring briefs and deliverables are clearly understood by all parties before production begins. 

• Drive operational efficiency through clear processes and frameworks that enable production teams to focus on delivery and innovation. 

• Identify and proactively resolve operational bottlenecks — escalating issues to senior leadership where required. 

• Own the new starter onboarding process for Maker Hub team members — ensuring smooth integration into studio structures, tools, and workflows. 

• Develop expert-level proficiency in OMG, our proprietary project planning software, and Pencil, our proprietary Gen AI production tool — acting as a go-to resource for the team on both platforms. 

Stakeholder & Client Management 

• Manage relationships with in-market stakeholders and agency partners — supporting quality delivery on time across all active markets. 

• Support market senior leadership with commercial and financial planning, administrative tasks, and operational reporting as required. 

• Ensure the delivery of data analysis and reporting — tracking project and department utilisation and presenting findings clearly to relevant stakeholders. 

Financial Administration 

• Support accurate and timely project-level financial administration relating to resource utilization 

• Flag financial risks or resource utilization variances to the senior leadership team early. 

What you need to be great at this role -

Resource Planning and Operations 

• Experience in resource planning, scheduling, or project coordination within a creative production, agency, or in-house studio environment. 

• Demonstrated ability to coordinate multiple production and creative workstreams simultaneously — managing complex scheduling requirements across diverse project types with precision and clarity. 

• Strong operational mindset with a proven track record of delivering efficient processes that enable production teams to perform at their best. 

• Experience creating and maintaining utilisation reports and using job and time reporting systems to estimate, track, and analyse projects and department capacity. 

• Proactive approach to identifying and resolving operational bottlenecks before they impact delivery. 

• Experience independently leading small projects from initiation through to completion. 

Workflow and Stakeholder Coordination 

• Experience acting as a liaison between client service, account management, and creative or production teams — facilitating workflow and ensuring requirements are validated before work begins. 

• Strong written and verbal communication skills — able to translate operational information clearly for diverse audiences across markets and functions. 

• Experience managing relationships with in-market stakeholders and external agency partners to support on-time, quality delivery. 

• Familiarity with onboarding processes and integrating new team members into studio or production environments. 

Tools and Technical Knowledge 

• Proficiency in Microsoft Office and related software, including project planning and scheduling tools. 

• Experience with or the ability to develop expert-level proficiency in proprietary project planning tools such as OMG and Gen AI production platforms such as Pencil. 

• Familiarity with digital asset management, creative review systems, and approval workflows in a content production context. 

• Understanding of marketing channels, assets, and workflows across social, digital, and e-commerce is an advantage. 

• Experience in quality assessment of work delivered by a production hub or creative team. 

Gen AI & Agentic Thinking 

• Proficiency with Gen AI tools relevant to resource management and production coordination workflows — using AI to improve scheduling, reporting, and operational efficiency. 

• Experience building personal AI workflows to improve day-to-day efficiency and output quality. 

• Agentic approach to operational challenges: breaking down complex, multi-market coordination tasks into clear, manageable steps and finding efficient paths forward. 

• Ability to critically evaluate AI outputs and apply sound judgement before incorporating them into operational processes or client-facing deliverables. 

 Req ID - 17207

#BTG+ #LI-PG1

회사 소개

CLS (Coupang Logistics Services)는 택배사업, 화물운송, 화물주선, 물류창고, 화물분류 등 종합 물류 서비스를 제공하는 쿠팡의 물류전문 계열사입니다. CLS는 국토교통부로 지정 받은 택배운송사업자로서 전국단위의 배송캠프에서 업계 최초로 도입한 분류작업전담인력과 직영 전문 배송직 쿠팡친구, 그리고 전국 단위 택배 영업점을 통해 고객에게 최적의 배송서비스를 제공하면서 쿠팡의 로켓배송을 완결하는 역할을 담당하고 있습니다. 로켓배송을 통해 미래 물류의 혁신을 이끌어 온 종합물류서비스 기업으로서 CLS는 로켓배송의 노하우, 인프라, 네트워크 등을 연계하여 물류 혁신을 통한 더 나은 고객감동을 만들어 나갈 것입니다.

직무 소개

CLS FP&A – Business Analyst 팀은 CLS Business Analysis로서 쿠팡의 Logistics 비즈니스 의사결정을 지원하기 위해 데이터의 분석, 품질, 가용성, 깊이를 책임지는 핵심 프로젝트를 주도합니다.

SQL 및 기타 분석 언어에 대한 전문성과 ETL 개발, 다양한 데이터 분석 기법을 기반으로, 조직 전반의 의사결정에 필요한 신뢰도 높은 데이터와 가시성(visibility)을 제공합니다.

이 과정에서 엔드투엔드(E2E) 물류 운영을 재무 관점에서 구조적으로 분석하고, 운영 데이터와 FP&A를 연결하여 비용 효율성, 서비스 수준, 사업 확장성에 대한 핵심 의사결정을 리딩합니다.

Fulfillment Center의 세부 운영, Linehaul, Last‑mile 전반에 걸친 복잡한 물류 구조를 데이터와 재무 지표로 해석·정량화 함으로써, 경영진과 조직이 속도·비용·품질 간의 Trade-off를 명확히 이해하고 합리적인 선택을 할 수 있도록 지원합니다.

업무 내용

• Project data 구축, KPI 설계 및 추적, 모델링
• 주요지표 트레킹 및 관리를 위해 시각화 자동화 대시보드 개발 및 관리
• 업무 협력 시 데이터 요구사항에 대해 명확히 이해하고, 정량적 분석 및 비즈니스 이슈의 근본원인을 파악하여 데이터 기반 방향성 제시
• 철저하고 정확한 데이터 기반의 인사이트를 제시하여 비즈니스 관련 합리적인 의사 결정 기회 제공

자격 요건

• Business Analyst, Data Analyst, FP&A, Data Scientist 등 데이터 분석 기술을 필요로 하는 업무 약 5년 이상의 경험
• SQL/HQL 전문 지식과 ETL 및 dimensional modeling 경험
• Tableau, Power BI와 같은 데이터 시각화 툴 3년 이상 사용 경험
• 분석적이고 디테일에 강하며, 비즈니스 감각이 있으신 분
• 업무의 우선 순위를 효율적으로 정하고, 빠르고 역동적인 환경에서 효과적인 결과를 달성할 수 있는 역량 (멀티테스킹 역량)

우대 사항

• 정량분야의 학사 (STEM, Finance, Economics, Statistics 등)
• Hive, Presto, Hadoop, Spark 등의 빅데이터 기술 활용도
• 이커머스, 로지스틱스, 스타트업(물류, 핀테크), 파이낸스팀 근무 경력을 보유하신 분
• A/B 테스팅 PM 또는 PO경력
• 비즈니스 영어 소통
• 데이터 파이프라인 구축 경험
• 데이터 모델링 혹은 데이터 디자인 경험
• 공학 및 비지니스 학위 (석/박사 or MBA)
• 기술 분야 석사학위 소지자
• 통계 분야 경험이 많은 분

전형 절차 및 안내 사항

전형 절차

• 서류전형 - 전화면접 - 대면(화상)면접 – 최종 합격
• 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다.
• 전형 일정 및 결과는 지원서에 등록하신 이메일로 개별 안내 드립니다.

참고 사항

• 본 공고는 모집 완료 시 조기 마감될 수 있습니다.
• 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다.
• 취업 보호 대상자(보훈대상자, 장애인 등)는 관련 법률에 따라 채용우대를 받을 수 있습니다.
• 직급과 담당 업무 범위는 후보자의 전반적인 경력과 경험 등 제반사정을 고려하여 변경될 수 있습니다. 이러한 변경이 필요할 경우, 최종 합격 통지 전 적절한 시기에 후보자와 커뮤니케이션 될 예정입니다.
• 채용 및 업무 수행과 관련하여 요구되는 법령상 자격이 갖추어지지 않은 경우 채용이 제한될 수 있습니다.
• 고용형태는 정규직으로 수습기간 12주를 포함합니다. 단, 업무상 필요한 경우에는 상기 수습기간을 적용하지 않거나 단축 또는 연장할 수 있습니다.

개인정보 처리방침

• 쿠팡 그룹은 입사지원자 개인정보 처리방침(아래 링크)에 따라 귀하의 개인정보를 수집하여 처리합니다. https://www.coupang.jobs/kr/privacy-policy

서류 반환 정책

1. 본 고지는 『채용절차의공정화에관한법률』 제11조제6항에 따른 것 입니다.
2. 당사 채용에 응시한 구직자 중 최종 합격이 되지 못한 구직자는 『채용절차의 공정화에 관한 법률』에 따라 제출한 채용서류의 반환을 청구할 수 있음을 알려 드립니다. 다만, 홈페이지 또는 전자우편으로 제출된 경우나 구직자가 당사의 요구 없이 자발적으로 제출한 경우에는 그러하지 아니하며, 천재지변이나 그 밖에 당사에게 책임 없는 사유로 채용서류가 멸실된 경우에는 반환한 것으로 봅니다.
3. 위2항 본문에 따라 채용 서류 반환 청구를 하는 구직자는 채용 서류 반환 청구서 [채용절차의 공정화에 관한 법률 시행규칙 별지 제 3 호 서식]를 작성하여 이메일 (recruitingops@coupangls.com) 로 제출하면, 제출이 확인된 날로부터 14 일 이내에 지정한 주소지로 등기우편을 통하여 발송해 드립니다. 이 경우 등기우편요금은 수신자 부담으로 하게 되오니 유념하시기 바랍니다.
4. 당사는 위2항 본문에 따른 구직자의 반환 청구에 대비하여 채용 여부가 확정된 날로부터 180 일간 구직자가 제출한 채용서류 원본을 보관하게 되며, 그때까지 채용서류의 반환을 청구하지 아니할 경우에는 『개인정보 보호법』에 따라 지체 없이 채용서류 일체를 파기할 예정입니다.
5. 단, 위 1항 내지 4항의 내용은 대한민국의 노동 관계 법령이 적용되는 경우에만 적용됩니다. 그 이외의 경우에는 적용되지 않습니다.