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Realize your potential by joining the leading performance-driven advertising company!
As the Finance Shared Services Leader on the Finance Team in our Gurgaon office, you'll play a vital role in building and managing our new Finance Shared Service Center in India from the ground up. Serving as the trusted "right hand" to our global finance leadership, you are not just managing a team, you are establishing a foundational site. You will recruit, train, and manage a high-performing team dedicated to Accounts Receivable (AR) and Accounts Payable (AP), ensuring operational excellence, optimized process flows, and scalable improvements across our global financial landscape.
To thrive in this role, you’ll need:
- 8–10+ years of progressive experience in Finance Operations, with proven senior management experience overseeing global Finance Operations teams.
- Global tech industry experience is a must, coupled with a "Builder Mentality" and a track record of building, scaling, and training shared services teams.
- High adaptability to change, with the proven ability to thrive in a fast-paced, dynamic environment.
- Deep, hands-on operational expertise with both end-to-end Accounts Receivable (collections to cash application) and full-cycle Accounts Payable.
- Strong systems knowledge, with NetSuite proficiency highly preferred, alongside experience with global payment gateways and billing structures.
- A strong process optimization background, demonstrating the ability to map process flows, identify systemic bottlenecks, and execute effective solutions.
- Operates with a high degree of independence and discretion, safeguarding sensitive financial operations while serving as a trusted leader and guiding the team.
How you’ll make an impact:
- Strategic Partnership & Site Operations: Serve as the trusted "right hand" to global finance leadership, playing a central role in launching the India Finance Shared Service Center and building its organizational structure.
- Team Building & Leadership: Recruit, onboard, train, and manage a high-performing team of AR and AP professionals, cultivating a culture of accountability and excellence.
- AR Management: Oversee the end-to-end AR process to ensure healthy cash flow, minimize DSO, and manage proactive collections, cash application, and month-end closing.
- AP Management: Direct the full P2P cycle, ensuring timely vendor payments, accurate NetSuite recording, and execution of global payment runs.
- Process Improvement & AI Integration: Analyze and document current process flows to identify operational gaps. Continuously explore ways to leverage different AI tools and capabilities to drive ongoing process improvements, making operations more effective and efficient over time.
What we offer:
- Fantastic global career opportunities, competitive salary and generous benefits.
- The chance to be part of building something unique.
- Invaluable experience in the world’s leading discovery & native advertising platform
- The opportunity to join an international team, that’s ambitious, revenue driven with a deep technical knowledge of digital advertising so the chance to learn from the best.
- A company that embraces change, has enormous potential for growth and offers a challenging yet collaborative working environment where you will always feel valued and be given every opportunity to make a name for yourself.
- An office culture that’s international, social, and supportive.
Why Taboola?
If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:
- Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
- Well-being: With an office culture that’s international, social and supportive, Taboola offers very generous benefits including 30 days holiday, excellent health insurance, some flexible working, and stock options to name just a few.
- Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
- Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.
Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.
Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.
About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.
Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.
Sounds good, how do I apply?
It’s easy, submit your CV by clicking the “Apply” button below.
Ready to apply?
Apply to Taboola
Manager, Data Science
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About Inizio Ignite
We are Inizio Ignite, the global advisory partner for health and life sciences encompassing connected expertise across Research Partnership, Putnam, STEM, and Vynamic. Guided by purpose, passion, and precision, we collaborate with clients to ignite impact, accelerate performance, and deliver lasting change for patients. By uniting strategy, insights, and innovation with a unique depth and breadth of expertise, we drive transformation and shape the future of health. Proudly part of Inizio – the market-leading commercialization partner for health and life sciences. From early-stage development to loss of exclusivity, we simplify complexity, unlock value, and make collaboration seamless at every pivotal moment – helping healthcare leaders shape strategy and drive meaningful change.
About the Role
We are seeking an experienced Data Science Manager to join our team at Inizio Ignite. The ideal candidate will bring deep machine learning expertise, strong GenAI and cloud competencies, and hands-on experience delivering analytical solutions that drive meaningful business impact for life sciences clients.
This leader will manage data scientists, oversee project delivery, partner with cross-functional teams, and shape the development of innovative AI/ML solutions.
What you'll be doing
Leadership & Delivery
- Lead and manage a team of data scientists, providing technical guidance, mentorship, and performance oversight.
- Own end-to-end delivery of data science and GenAI engagements for pharma/biotech clients.
- Translate business problems into analytical frameworks and ensure high-quality, timely project execution.
- Drive adoption of AI/ML capabilities across client engagements and internal initiatives.
Technical Responsibilities
- Architect, design, and review ML, statistical, and GenAI solutions, ensuring scalability, accuracy, and alignment with business objectives.
- Oversee the development, validation, and deployment of predictive models, NLP pipelines, and GenAI-based applications (e.g., summarization, insights automation, generative workflows).
- Lead cloud-based solution deployment (AWS, Azure, or GCP) including orchestration, MLOps best practices, and integration with enterprise systems.
- Ensure adherence to model governance, compliance, and responsible AI frameworks.
What you'll need
- Extensive experience in data science or advanced analytics roles, with at least 2–3 years in a leadership or managerial capacity.
- Ideally prior experience in pharmaceutical, biotech, or healthcare consulting is mandatory.
- Strong expertise in machine learning, NLP, deep learning, and GenAI (LLMs, prompt engineering, RAG, fine-tuning, embeddings).
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP; exposure to MLOps frameworks preferred.
- Proficiency in Python, SQL, and common DS/ML libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face, LangChain, etc.).
- Proven experience managing teams, delivering client projects, and presenting to senior stakeholders.
- Good to have understanding of pharma datasets (claims, RWE, clinical, medical insights, social data) and key use cases.
- Experience building GenAI solutions in production environments
Our Pledge
At Inizio, we value inclusivity, recognize the power of diversity, and inspire the next generation of change-makers. We are an equal opportunities employer and are committed to creating a dynamic work environment that values diversity, equity, and inclusion. We welcome all applications regardless of race, color, religion, gender identity, age, national origin, marital status, veteran status, genetic information, sexual orientation, or disability.
Artificial Intelligence
Inizio may use AI technologies to support certain aspects of our recruitment process, but all hiring decisions are made by our human recruiting team. We are committed to fair, inclusive, and human-led hiring practices. Don't meet every requirement? That's okay! We are dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role but your experience doesn't perfectly align with every qualification, we encourage you to apply anyway.
Don't meet every job requirement? That's okay! Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others.
Ready to apply?
Apply to Inizio Ignite
We're building a new product team in India to help shape how customers build, deploy, and operate AI applications on MongoDB. This is an early hire on a growing team—you'll join while the team is still taking shape, with the opportunity to have real impact from the start.
You'll report to a Director of Product Management based in Europe, working async-first with partners across India, EMEA, and North America. The engineering team in India is being built in parallel, so you'll be working closely with engineers from the early days of the team.
We are looking to speak to candidates based in Gurugram for our hybrid working model.
What you'll own
You'll be the end-to-end owner for a core area of our AI application platform—from discovery and vision through roadmap, delivery, and iteration. This is a senior individual contributor role where you lead through ownership, expertise, and cross-functional influence.
Day to day, that means:
- Defining product strategy and roadmap for your area, aligned with MongoDB's broader AI strategy and business goals
- Talking to customers — from AI-native startups to large enterprises — to understand how they build and deploy AI applications, where they struggle, and what MongoDB should do about it
- Writing clear product narratives, memos, and specs that align stakeholders, clarify trade-offs, to guide conversations with engineering, design, product marketing, etc
- Partnering with cross-functional stakeholders—including Engineering, Design, Product Marketing, Partners, Sales, and Developer Relations—to scope, prioritize, and ship, balancing experimentation with reliability and scale, and driving positioning, launches, and enablement
- Identifying new opportunities autonomously—spotting gaps, shaping problem spaces, researching industry trends and running discovery sessions with customers
- Define and own clear success metrics for your area and use them to prioritize, make trade-offs and communicate impact
You'll develop deep expertise in how companies build AI applications — including agentic workflows, retrieval and memory, evaluation, observability, and deployment patterns.
How we work
- Async-first. Documentation and written communication are how decisions travel across time zones
- Sync when it makes sense. When we need to discuss something live, we hop on a call to unbundle issues together
- In-person when it matters. The team gets together periodically for planning, relationship-building, and the kind of work that's better done face to face
What you'll bring
- 5+ years in product management (or equivalent) building platforms, infrastructure, or developer-facing products — ideally in cloud, data, or AI
- Proven end-to-end ownership of a product area: from framing the problem and vision through roadmap, execution, launch, and iteration
- Customer obsession: you're comfortable running discovery calls, digging into workflows, and turning messy feedback into clear product decisions
- Strong written and live communication: clear docs, productive meetings, confident stakeholder presentations. This matters more in an async, distributed team — writing is how you lead
- Technical depth sufficient to collaborate with senior engineers on distributed systems, cloud services, and AI/ML tooling, and to ask good questions when something is unclear
- Curiosity about AI: you follow how companies are building AI applications — agents, orchestration frameworks, RAG, fine-tuning, or other emerging patterns
- Comfort with ambiguity: you help define the problem, the success metrics, and the path forward. In an early-stage team, this is the job
Bonus points
- Experience building developer tools, AI platforms, or MLOps/LLMOps products.
- Engineering background or deep experience partnering with engineering on technical products.
- Experience with enterprise customers on mission-critical workloads.
- Comfort using AI tools (e.g., Claude, Gemini, Figma Make) to move faster and amplify impact.
How we'll measure success (30/60/90 days)
We need someone who can onboard quickly and start driving impact early.
In your first 30 days, you will:
- Ramp up on MongoDB products, AI application patterns, and how our teams work
- Shadow customer calls and internal forums to learn current strategy, open questions, and key stakeholders
- Produce a clear written overview of your product area: current state, key bets, and known gaps
By 60 days, you will:
- Take ownership of a set of customer relationships and run your own discovery conversations each week
- Own and socialize an initial strategy and roadmap proposal for your area, with clear problem statements and success metrics
- Partner with engineering and design to shape and drive at least one scoped initiative into execution
By 90 days, you will:
- Be the go-to owner for your product area, driving prioritization and day-to-day decision-making across functions
- Lead customer- and data-informed iterations on what you’ve shipped, adjusting the roadmap based on what you’re learning
- Contribute to the broader AI application platform strategy with perspectives from your domain, customers, and the field
Why this role
MongoDB is one of the most widely adopted database platforms in the world, used by tens of thousands of customers — including much of the Fortune 100 and a fast-growing set of AI-native startups. Our cloud platform, Atlas, runs across AWS, Google Cloud, and Azure.
This role puts you at the center of how MongoDB powers AI applications at scale. You’ll own a critical slice of that story, from strategy through delivery and adoption.
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
| Requisition ID | 1273421090 |
Ready to apply?
Apply to MongoDB
This new team will architect the platform foundation and infrastructure that enables a "build once, run anywhere" model, ensuring our AI-powered modernisation suite operates seamlessly regardless of a client's security or network constraints. We are looking for engineers to join this high-visibility initiative, where you will solve unique distributed systems puzzles and help shape the future of how global enterprises leverage GenAI.
We are looking for an experienced software engineer who thrives on solving infrastructure constraints and building enterprise facing platforms.
The ideal candidate is a hands-on technical leader who can architect complex distributed systems, mentor engineers, and collaborate with product teams to deliver a platform that minimizes deployment friction and meets customers’ compliance requirements.
This role can be based out of our Gurgaon office or Remotely in India.
The ideal candidate for this role will have
- 8+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure.
- 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results.
- Deep experience designing distributable applications that run in air-gapped or highly restricted network environments.
- Strong proficiency in containerization and orchestration, with the ability to design systems where the host executes containerized applications under strict security monitoring.
- Experience building Service Host architectures that provide shared routing, proxy layers, and API gateways for multiple underlying services.
- Experience managing persistent storage solutions (blob/file storage) within distributed systems.
- Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation.
- Experience designing auto-update mechanisms for software that cannot directly access the public internet.
- Curiosity, a positive attitude, and a drive to continue learning.
Position Expectations
- Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement.
- Drive the distributed infrastructure for the Application Modernisation Platform, ensuring it supports a self-service SaaS product model while operating within client-controlled environments.
- Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the lifecycle of modernization tools.
- Architect a client-side application that manages developer workflows and communicates securely with hosted services.
- Solve complex "Day 2" operations challenges, such as designing interfaces to solve DevOps challenges to manage users, secrets, and updates.
- Collaborate with security and product teams to ensure the platform can execute code generation and LLM-based tasks securely, protecting both client data and MongoDB IP.
- Act as a hands-on leader, guiding the team through technical challenges related to container security, local vs. hosted logic distribution, and cross-service data sharing.
Success Measures
Within the first three months, you will have:
- Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments.
- Established yourself as the technical leader within the team, actively driving technical decisions.
- Begun mentoring team members and collaborating with product counterparts to define the integrations between the platform and the tools it hosts.
Within six months, you will have:
- Successfully led the team to deliver a prototype or initial release of the Deployment Platform that supports the core modernization toolset.
- Designed and implemented a streamlined process for platform updates that works within client security constraints.
- Established a precise rhythm of execution and served as a role model for a high-performing team.
Within 12 months, you will have:
- Become recognized as the go-to technical expert for the deployment and operations domain at MongoDB.
- Delivered a stable, production-ready platform that allows our Field Engineering teams to deploy tools without significant delays or approvals.
- Played a crucial role in helping recruiting and growing the engineering team.
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
| Requisition ID | 1273352650 |
Ready to apply?
Apply to MongoDB
This new team will architect the platform foundation and infrastructure that enables a "build once, run anywhere" model, ensuring our AI-powered modernisation suite operates seamlessly regardless of a client's security or network constraints. We are looking for engineers to join this high-visibility initiative, where you will solve unique distributed systems puzzles and help shape the future of how global enterprises leverage GenAI.
We are looking for an experienced software engineer who thrives on solving infrastructure constraints and building enterprise facing platforms.
The ideal candidate is a hands-on technical leader who can architect complex distributed systems, mentor engineers, and collaborate with product teams to deliver a platform that minimizes deployment friction and meets customers’ compliance requirements.
This role can be based out of our Gurgaon office or Remotely in India.
The ideal candidate for this role will have
- 8+ years of software development and operations experience, with a focus on building platforms and distributable software infrastructure.
- 2+ years of experience leading, coaching, and mentoring a team of engineers to achieve high-impact results.
- Deep experience designing distributable applications that run in air-gapped or highly restricted network environments.
- Strong proficiency in containerization and orchestration, with the ability to design systems where the host executes containerized applications under strict security monitoring.
- Experience building Service Host architectures that provide shared routing, proxy layers, and API gateways for multiple underlying services.
- Experience managing persistent storage solutions (blob/file storage) within distributed systems.
- Understanding of security-first design, specifically regarding the execution of untrusted code, fine-grain access control, and rigorous input validation.
- Experience designing auto-update mechanisms for software that cannot directly access the public internet.
- Curiosity, a positive attitude, and a drive to continue learning.
Position Expectations
- Provide technical leadership and mentorship to a team of engineers, fostering a culture of innovation, quality, and continuous improvement.
- Drive the distributed infrastructure for the Application Modernisation Platform, ensuring it supports a self-service SaaS product model while operating within client-controlled environments.
- Lead the design and implementation of a sophisticated orchestration layer that manages authentication, telemetry, and the lifecycle of modernization tools.
- Architect a client-side application that manages developer workflows and communicates securely with hosted services.
- Solve complex "Day 2" operations challenges, such as designing interfaces to solve DevOps challenges to manage users, secrets, and updates.
- Collaborate with security and product teams to ensure the platform can execute code generation and LLM-based tasks securely, protecting both client data and MongoDB IP.
- Act as a hands-on leader, guiding the team through technical challenges related to container security, local vs. hosted logic distribution, and cross-service data sharing.
Success Measures
Within the first three months, you will have:
- Fully ramped up on our architecture, business domain, and the specific constraints of deploying software to large enterprise client environments.
- Established yourself as the technical leader within the team, actively driving technical decisions.
- Begun mentoring team members and collaborating with product counterparts to define the integrations between the platform and the tools it hosts.
Within six months, you will have:
- Successfully led the team to deliver a prototype or initial release of the Deployment Platform that supports the core modernization toolset.
- Designed and implemented a streamlined process for platform updates that works within client security constraints.
- Established a precise rhythm of execution and served as a role model for a high-performing team.
Within 12 months, you will have:
- Become recognized as the go-to technical expert for the deployment and operations domain at MongoDB.
- Delivered a stable, production-ready platform that allows our Field Engineering teams to deploy tools without significant delays or approvals.
- Played a crucial role in helping recruiting and growing the engineering team.
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
| Requisition ID | 1273352650 |
Ready to apply?
Apply to MongoDB
MongoDB, as a database software and consistently voted the #1 most wanted database preferred by developers, is continuing to attract the most demanding, innovative companies and development teams in enterprise software.
To meet this demand, we are looking for passionate DevOps professionals to join our growing Industry Solutions Team (IST), a remote/flexible, globally-dispersed team. As part of our strategic investment in demo infrastructure capabilities, this role is critical to maintaining, scaling, and optimizing our demo portfolio, enabling our Industry Solutions Consultants to focus on customer engagement, content creation, and industry expertise while ensuring world-class infrastructure reliability and security. Our objective is to align MongoDB as an industry solution and ensure we understand enterprise clients and their needs to modernize software legacies, transition to modernized solutions, and guide them through continuous data-driven modernization across various industries.
MongoDB Industry Solutions Consultants communicate the direction of MongoDB's platform to customers and industry partner communities through webinars, client presentations, blog content, video content, live/virtual events, and demos. Your role will directly enable these activities by ensuring robust, reliable infrastructure that supports seamless demonstrations and proof-of-concepts across various industry verticals, helping to showcase MongoDB's capabilities to enterprise clients worldwide.
You'll work with cutting-edge technologies including Kubernetes, multi-cloud environments (AWS/GCP), and MongoDB's complete product suite, while building the infrastructure foundation that powers MongoDB's industry solution demonstrations globally. You'll collaborate closely with the global IST technical team and product teams, playing a key role in supporting deals and driving the business forward through reliable technical infrastructure.
What You Will Do at MongoDB
Infrastructure Management & Optimization
- Design and implement infrastructure-as-code templates for consistent demo deployments across 65+ demonstrations
- Optimize and maintain our KANOPY Kubernetes platform with production-grade configurations
- Manage MongoDB clusters with automated scaling, standardized security configurations, and centralized monitoring
- Maintain mixed AWS/GCP deployment environments with focus on performance and cost optimization
Security & Compliance
- Implement comprehensive security scanning and automated vulnerability remediation
- Maintain Wiz vulnerability management and security compliance across all demo environments
- Establish and enforce enterprise-grade security standards and practices
- Monitor and respond to security incidents with systematic surveillance and optimization
Automation & DevOps Excellence
- Build and maintain CI/CD automation pipelines for seamless demo deployments
- Implement autonomous end-to-end testing frameworks across the entire demo portfolio
- Deploy centralized monitoring, logging, and alerting systems for proactive issue resolution
- Create self-service developer tools to enable rapid demo development and deployment
Operational Support
- Provide dedicated incident response and system monitoring to prevent disruptions to Industry Solutions Demos
- Establish unified data model frameworks for consistent demo experiences
- Support 20-25 new demo builds annually, including complex microservices architectures
- Collaborate with wider technical team on infrastructure requirements and optimization opportunities
As an Ideal Candidate, You Will Have
Required Experience
- 5+ years of DevOps/Infrastructure engineering experience in enterprise environments
- Strong expertise in Kubernetes orchestration and container management
- Hands-on experience with Infrastructure-as-Code tools (Terraform, CloudFormation, or similar)
- Proficiency in CI/CD pipeline design and implementation (Jenkins, GitLab CI, GitHub Actions, etc.)
- Experience with multi-cloud environments (AWS, Azure, GCP) and cloud-native architectures
- Strong background in monitoring and observability tools (Prometheus, Grafana, ELK stack, etc.)
Technical Skills
- Database administration experience, preferably with MongoDB or other NoSQL databases
- Security scanning and vulnerability management experience
- Scripting and automation skills (Python, Bash, Go, or similar)
- Experience with microservices architecture and service mesh technologies
- Understanding of networking, security principles, and compliance frameworks
Soft Skills
- Excellent problem-solving and troubleshooting abilities
- Strong communication skills for cross-team collaboration
- Self-motivated with ability to work independently in a remote-first environment
- Passion for learning new technologies and staying current with DevOps trends
- Experience mentoring junior team members and sharing best practices
As an Ideal Candidate, You May Also Have
- Master's degree in Computer Science, Engineering, or equivalent work experience
- MongoDB certification or experience with MongoDB Atlas
- Experience in SaaS or enterprise software environments
- Experience with service mesh technologies (Istio, Linkerd)
- Knowledge of data pipeline and ETL processes
What You Will Learn
Technical Growth
- Deep expertise in MongoDB's complete product suite and ecosystem
- Advanced Kubernetes and cloud-native architecture patterns
- Enterprise-scale infrastructure design and security best practices
- Modern DevOps methodologies and automation frameworks
Business Context
- How infrastructure enables customer success and business growth
- Industry-specific use cases and solution architectures across various verticals
Location & Work Arrangement
This role is based in India with flexible remote work options. The Industry SolutionsTeam operates globally with collaboration across time zones. Occasional travel may be required for team events, training, or MongoDB conferences.
Why Join Our Team
- Impact: Build the infrastructure foundation that powers MongoDB's industry solution strategy
- Growth: Join a global team with significant investment and leadership support
- Innovation: Work with cutting-edge technologies in a fast-paced, evolving environment
- Culture: Be part of MongoDB's collaborative, inclusive, and learning-focused culture
This role is part of MongoDB's strategic investment in demo infrastructure capabilities, offering the opportunity to build something new while working with industry-leading technologies and a world-class team.
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 1273401871
Ready to apply?
Apply to MongoDB
The IT SaaS Engineering Team plays a critical role in optimizing MongoDB sales processes, streamlining customer interactions, and maximizing the efficiency of our sales efforts. By leveraging Salesforce, the team ensures that business users have the tools, automation, security, and governance needed to effectively manage customer relationships, support operational processes, and drive business growth.
With deep expertise in Salesforce development, platform governance, automation, and system operations, the team continuously enhances the CRM platform to meet evolving business needs. The team partners closely with stakeholders across Sales Operations, Revenue Operations, Security, Compliance, and Engineering to deliver scalable, secure, and reliable Salesforce solutions.
We are looking to speak to candidates who are based in Gurgaon for our hybrid working model.
Role Overview
We are looking for a highly experienced Lead Salesforce Engineer to drive the architecture, design, and evolution of critical Salesforce and CRM solutions across our business systems landscape. This role combines deep technical leadership, hands-on solution design, cross-functional stakeholder partnership, people management, and a modern engineering mindset that embraces AI-powered development responsibly to improve productivity, quality, and long-term platform health.
What you’ll do
- Lead the architecture, design, and development of scalable Salesforce solutions, including custom applications, automations, and integrations
- Translate business requirements into secure, maintainable, and scalable technical solutions aligned with long-term platform strategy
- Partner closely with business stakeholders, product teams, and engineering teams to refine requirements and deliver high-quality solutions
- Oversee integrations between Salesforce and other enterprise platforms, ensuring reliable data flow and sound system design
- Drive platform optimization across performance, scalability, usability, maintainability, and governance
- Establish and enforce engineering standards for coding, testing, documentation, CI/CD, and release management
- Troubleshoot complex technical and production issues and drive long-term, scalable resolutions
- Maintain technical documentation, including architecture decisions, design specifications, and implementation details
- Stay current with Salesforce platform capabilities, releases, and best practices, and proactively recommend improvements
- Proactively identify process and technical gaps, and help define and drive tech debt reduction initiatives, platform modernization efforts, and engineering efficiency improvements across the Salesforce ecosystem
- Leverage AI-powered engineering tools such as Apex Guru, GitHub Copilot, Salesforce Agentforce/Vibes, Claude Code, and similar capabilities to improve development productivity, code quality, design effectiveness, troubleshooting, and documentation, while applying strong judgment around security, privacy, accuracy, and responsible AI usage
Responsibilities
- Provide technical leadership through architecture reviews, design reviews, code reviews, and engineering best practices
- Act as a subject matter expert on Salesforce development, platform capabilities, automation, integrations, and scalable CRM solution design
- Lead technical design sessions and identify gaps between current-state and future-state solutions
- Evaluate emerging technologies, frameworks, and engineering practices, and drive proof-of-concepts where appropriate
- Mentor engineers across the team and foster a culture of ownership, collaboration, continuous learning, and engineering excellence
- Support team growth by coaching, developing talent, and helping build a high-performing engineering organization
- Influence business and technical stakeholders through strong communication, sound judgment, and effective problem-solving
- Operate effectively in a fast-changing environment by managing priorities, driving accountability, and ensuring high-quality execution
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field
- 12+ years of experience in Salesforce engineering, application development, or technical leadership within global SaaS organizations
- Strong hands-on experience with Apex, Lightning Web Components, Flows, integrations, and Salesforce platform customization
- Strong understanding of Salesforce architecture, governor limits, design patterns, and scalable solution design
- 5+ years of experience working with Salesforce CPQ and strong understanding of Quote-to-Cash / Order-to-Cash processes
- Experience with DevOps, CI/CD, release management, and Agile/Scrum delivery models
- Salesforce Platform Developer II (PD2) and Salesforce CPQ Specialist certifications required; Salesforce Certified Application Architect and Salesforce Certified System Architect certifications strongly preferred
Success Measures
- In 3 months, you will: Develop a strong understanding of MongoDB’s Salesforce ecosystem, business processes, and technical landscape. Build trusted relationships with key stakeholders and engineering partners
- In 6 months, you will: Lead the technical design and successful delivery of critical Salesforce initiatives. Establish yourself as a trusted technical leader within the Sales Apps team
- In 12 months, you will: Be the go-to technical leader for Salesforce architecture, complex solution design, and platform strategy. Elevate team quality through strong technical leadership, mentoring, and scalable engineering practices
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 1273405377
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MongoDB is growing and gaining adoption rapidly across the globe with the most demanding and innovative companies and development teams in enterprise software.
We are seeking a Senior Director, Engineering to join our growing Gurugram Product & Technology team where you will drive the technical vision, execution, and implement core parts of a new platform we are building to make it easier for customers to build AI applications using MongoDB.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
Position Expectations
- Lead and Manage the Engineering Team – Oversee engineering efforts to design, develop, and scale the new product, ensuring high performance, reliability, and efficiency
- Recruit and Build a High-Performance Team – Attract, hire, and mentor top-tier engineering talent, fostering a culture of innovation, collaboration, and technical excellence
- Define Product and Engineering Strategy – Collaborate with product, research, and engineering leaders to define the long-term vision, roadmap, and architecture of the new platform
- Ensure Operational Excellence – Drive best practices for monitoring, reliability, and performance in production
- Lead Architecture: Own the architectural vision for the platform, working with Senior engineers on the team, ensuring it runs equally well on public clouds, private cloud environments and on-premise
Cross-functional leadership - Work with product managers, program managers, design & analytics teams and other teams to define, prioritize and deliver new features that delight our users and drive platform improvementsRemove roadblocks - Enable the team to operate efficiently by removing technical obstacles, coordinating with other teams on dependencies, and prioritizing the team's overall well-being
Qualifications
- 15+ years of engineering leadership experience, including managing multiple teams and scaling large, distributed systems
- Proven experience building and maintaining high scale serving platforms in production
- Deep expertise in distributed systems, large-scale data processing, and systems infrastructure
- Experience working with cloud-native architectures and platforms like AWS, GCP, Azure, and Kubernetes
- Excellent leadership, strategic thinking, and ability to influence cross-functional stakeholders
- Strong technical background in Python, C++, Java, or Go. Experience with AI and Machine Learning frameworks and SDKs is a plus
- Experience in hiring, mentoring, and scaling world-class engineering teams
Success Measures
- In the first month, you’ll have understood the surface area, the high level architecture of the new platform. You’ll have initiated one-on-ones with your team members
- By the second month, you will be deeply embedded in the recruiting and hiring process for growing the Product and Technology team in India and begun filtering resumes and interviewing candidates
- In three months, you’ll have fully on-boarded onto the team and contributed to the design of a core platform capability
- In six months, you will have taken on full responsibility for projects slated for the subsequent quarter. You’ll have started growth conversations with your team members and begun to understand their longer-term career aspirations
- In twelve months, you’ll have led the development of multiple new features and performed a full annual cycle of performance and growth conversations with your team members Additionally, you’ll have contributed to the vision for the future of the platform and helped develop a plan to achieve that vision
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID - 1273397064
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At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
Key Responsibilities
- Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence.
- Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy.
- Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance.
- Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions.
- Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities.
- Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions.
Required Qualifications
- Strong understanding or experience leading AI/ML teams in a SaaS or enterprise software environment.
- Deep expertise in time series forecasting and machine learning.
- Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures.
- Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
- Experience with agentic frameworks and autonomous agent architectures.
- Proficiency in Python and modern software development practices (testing, code review, CI/CD).
- Proven track record of delivering complex technical projects on time with high quality.
- Excellent communication, collaboration, and stakeholder management skills.
- Track record of delivering impactful AI solutions in a fast-paced, agile environment.
Preferred Qualifications
- Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
- Experience with large-scale data processing frameworks like Spark.
- Familiarity with the challenges of applying AI in enterprise planning or financial domains.
- A portfolio of published research or contributions to open-source AI projects.
What Makes This Role Exciting
You will be a key leader in Anaplan’s AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAbout us
Nanonets is transforming the way businesses work. Our AI platform takes the manual, messy, time consuming work — that bog down industries like finance, healthcare, supply chain, and more — and turns them into seamless, automated processes. What once took hours of human effort now takes seconds with Nanonets. Our client footprint spans across 34% of Fortune 500 enabling businesses across various industries to unlock the potential of AI in automating their business processes.
More than 10,000 businesses trust Nanonets because we don’t just promise efficiency — we deliver it with unmatched accuracy, seamless integrations.
In 2024, we raised a $29M Series B led by Accel with continued backing from Elevation Capital and YCombinator, fueling our mission to reshape entire industries through intelligent automation. With revenues tripling year over year and a rapidly scaling global team, we’re not just imagining the future of work — we’re building it.
Read about the release here:
The Role
Nanonets is seeking a Senior Revenue Cycle Specialist to join our fast-growing Healthcare business — a team focused on transforming U.S. healthcare operations with AI-powered automation. In this role, you’ll bring deep domain expertise in medical billing, payments, coding, and denials to help shape and scale how Nanonets supports healthcare providers and billing organizations.
You’ll act as a subject matter expert (SME) and hands-on operator, ensuring that our automation solutions map seamlessly to real-world RCM workflows. This is a unique opportunity to join a fast-moving startup environment, collaborate with product and engineering, and directly influence how technology modernizes the revenue cycle.
Roles and Responsibilities
- Own and optimize end-to-end revenue cycle processes across billing, payments, medical coding, claims, and denials management.
- Serve as the internal RCM expert for customer-facing teams (Sales, Implementation, Product), ensuring solutions align with provider workflows.
- Review and analyze billing data to identify automation opportunities and process improvements.
- Partner with Sales and Implementation teams to guide customers on best practices and ensure operational success post-deployment.
- Document workflows, edge cases, and billing nuances to inform product roadmap and customer enablement materials.
- Stay up-to-date on payer regulations, coding updates, and healthcare billing trends to keep Nanonets’ offerings compliant and relevant.
- Collaborate cross-functionally in a fast-paced environment where processes are still being built and iterated on.
Requirements and Skills
- 6+ years of experience in healthcare revenue cycle management, preferably within a provider, billing services, or healthcare technology organization.
- Deep understanding of billing workflows, payment posting, medical coding, and denials management.
- Familiarity with electronic health record (EHR) or practice management systems used in healthcare billing.
- Strong analytical and process improvement skills — ability to identify workflow gaps and propose scalable solutions.
- Excellent communication and collaboration skills with both technical and non-technical stakeholders.
- Comfortable working independently in a fast-paced, startup-style environment with evolving processes.
Nice to Have
- Experience partnering with product or engineering teams on workflow automation or system integrations.
- Familiarity with AI-driven automation, document processing, or healthcare technology platforms.
- Certification in Medical Billing/Coding (e.g., CPC, CPB, or CMRS).
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Location Details: Gurugram
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team.
Join our Team
If you are passionate about machine learning and want to make a difference for millions of small businesses, join our DnAI (Data and Artificial Intelligence) team at GoDaddy as a Senior Machine Learning Scientist. You will have the opportunity to build cutting-edge machine learning models and Generative AI solutions to build intelligent software that delight our customers. You will work with highly skilled engineers in building comprehensive solutions to challenging business problems in customer experience, personalization; as well as solve technical problems in model evaluation, simulation and more.
What you'll get to do...
- Develop and implement advanced machine learning algorithms.
- Build Intelligent Software using Large Language Models (AI Agents).
- Design and refine ML models to enhance their performance, scalability, and robustness.
- Assess, design and curate comprehensive evaluations for open-ended GenerativeAI problems.
- Collaborate with cross-functional teams to integrate ML solutions within broader product and platform initiatives.
- Drive the exploration and adoption of cutting-edge ML technologies to maintain our competitive edge in the industry.
Your experience should include...
- 6+ years of overall experience in machine learning related roles.
- Strong knowledge of machine learning algorithms, tools, and techniques, such as supervised and unsupervised learning, deep learning, computer vision, natural language processing, etc.
- Familiarity with AI assisted coding tools like Cursor, Claude Code or VS Code.
- Proficient in Python programming language with familiarity with software engineering best practices, such as version control, code review, CI/CD, etc.
- Proficiency with prompt engineering and large language models (LLM) and Natural Language Processing (NLP).
You might also have...
- Experience building conversational systems.
- Experience in designing comprehensive evaluations and verification methods.
- Proficiency in Typescript is a plus.
We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy’s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.
We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us.
At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com.
GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.
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About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Role Summary
We are hiring Senior Engineers who combine solid software engineering fundamentals with proven proficiency in AI-assisted development. This role is designed for engineers who have actively used AI coding tools (such as Cursor, Claude Code, Codex CLI only) for at least one year and can leverage these capabilities to ship higher-quality code faster. You will be embedded in product engineering squads, leading feature development, mentoring junior engineers, and championing AI-first development practices across the team.
What Makes This Role Different
This is not an AI research role - it is a core engineering role for engineers who use AI as a force multiplier. We expect you to:
- Use AI coding assistants daily to accelerate development without sacrificing code quality.
- Critically evaluate AI-generated code for correctness, security vulnerabilities, and maintainability.
- Share best practices for AI-assisted workflows with the broader engineering team.
- Help define team standards for responsible and effective AI tool adoption.
Key Responsibilities
1 Feature Engineering & Delivery
- Design, build, and ship production-quality features across the full stack or within your domain (backend, frontend, platform, or data).
- Leverage AI coding assistants to write, refactor, document, and test end-to-end code efficiently.
- Translate product requirements and technical specifications into clean, maintainable implementations.
- Lead feature squads for medium-complexity initiatives from design through deployment.
- Participate in and drive sprint planning, backlog grooming, and technical estimation sessions.
2 AI-Augmented Development Practices
- Champion the use of AI pair-programming tools (Copilot, Cursor, Claude, etc.) across the engineering org.
- Develop and document internal guidelines for effective AI prompt engineering within coding workflows.
- Conduct training sessions or knowledge-share presentations on maximising productivity with AI tools.
- Critically audit AI-generated code for logic errors, security issues, and performance anti-patterns before merging.
- Stay updated on the latest AI development tooling and evaluate new tools for team adoption.
3 Code Quality & Engineering Excellence
- Write testable, modular, and well-documented code following the team's style guides and design principles.
- Drive test-driven development (TDD) and maintain code coverage targets.
- Perform thorough code reviews with constructive feedback; uphold engineering standards.
- Identify and address technical debt proactively; contribute to architecture improvements.
- Participate in RCA (root cause analysis) for production incidents; implement lasting fixes.
4 Architecture & Technical Design
- Contribute to system design discussions, proposing solutions with appropriate trade-off analysis.
- Create and maintain technical design documents (TDDs), ADRs (Architecture Decision Records), and API contracts.
- Evaluate and adopt relevant third-party libraries, APIs, and SaaS tools with a security-first mindset.
- Collaborate with platform / DevOps teams on observability, CI/CD pipelines, and infrastructure-as-code.
5 Mentoring & Team Growth
- Mentor 1–2 mid-level engineers; conduct regular 1:1 technical coaching sessions.
- Onboard new team members by sharing codebase context, tooling setup, and team practices.
- Contribute to a culture of psychological safety, learning from failures, and continuous improvement.
6 Cross-functional Collaboration
- Work closely with Product Managers, Designers, and Operations to deliver delightful, high-quality user experiences.
- Coordinate with data and AI/ML teams to integrate model endpoints, APIs, and AI features into product surfaces.
- Participate in customer-facing escalations where deep technical expertise is required.
Required Qualifications
1 Education
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Candidates without a degree but with a strong portfolio and demonstrable project history will be considered.
2 Experience
- 3 – 5 years of professional software engineering experience in a product-focused environment.
- Minimum 1 year of active, hands-on experience using AI coding tools in professional work (not just personal projects).
- Track record of shipping production features end-to-end with measurable business impact.
3 Technical Skills — Core Engineering
- Languages: Proficiency in at least one of — Python, TypeScript/JavaScript, Java, Go, or Kotlin.
- Web / API: REST, GraphQL, gRPC; familiarity with microservices and event-driven architectures.
- Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB).
- Cloud: AWS, GCP, or Azure — compute, storage, serverless, and managed services.
- DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins, CircleCI); IaC basics (Terraform/Pulumi).
- Testing: Unit, integration, and e2e testing frameworks; TDD/BDD familiarity.
- Version Control: Git, branching strategies (GitFlow, trunk-based), PR workflows.
4 AI Tooling Skills (Mandatory)
- Demonstrated proficiency with at least one AI coding assistant (Cursor IDE, Claude Code, Codex CLI).
- Ability to craft effective prompts for code generation, refactoring, debugging, and documentation tasks.
- Experience reviewing and validating AI-generated code for correctness and security.
- Understanding of limitations of LLM-based coding tools (hallucinations, context window, license risks).
5 Nice to Have
- Contributions to open-source projects.
- Experience building or integrating AI/ML features (e.g., calling LLM APIs, embedding models, RAG pipelines).
- Familiarity with agentic coding frameworks (LangChain, LlamaIndex, AutoGen, CrewAI).
- Experience in a startup or scale-up environment with rapid iteration cycles.
- Knowledge of web security (OWASP Top 10, secure coding practices).
Behavioural Competencies
- AI-First Mindset: Naturally reaches for AI tools to accelerate tasks while maintaining engineering rigour.
- Ownership: Takes end-to-end accountability — from design to deployment to monitoring.
- Pragmatism: Balances perfect with shipped; knows when to iterate vs. over-engineer.
- Mentorship: Invests in the growth of peers and junior colleagues.
- Communication: Writes clearly (code comments, docs, Slack) and articulates trade-offs confidently.
- Curiosity: Continuously explores new tools, languages, and architectural patterns.
- Collaboration: Works well in cross-functional squads; builds trust quickly.
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
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At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is on a mission to revolutionize business planning by connecting organizations and people to make better, faster decisions. We are seeking a visionary Senior Manager for AI Engineering to lead our talented team in building the next generation of intelligent planning solutions. This is a critical leadership role where you will drive the technical strategy and execution for AI/ML initiatives, directly impacting Anaplan’s product and our customers' success. You will be at the forefront of integrating cutting-edge AI, from time series forecasting to generative and agentic AI, into our market-leading platform.
Key Responsibilities
- Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence.
- Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy.
- Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance.
- Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions.
- Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities.
- Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions.
Required Qualifications
- Proven experience leading AI/ML teams in a SaaS or enterprise software environment.
- Deep expertise in time series forecasting and machine learning.
- Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures.
- Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
- Experience with agentic frameworks and autonomous agent architectures.
- Proficiency in Python and modern software development practices (testing, code review, CI/CD).
- Proven track record of delivering complex technical projects on time with high quality.
- Excellent communication, collaboration, and stakeholder management skills.
- Track record of delivering impactful AI solutions in a fast-paced, agile environment.
Preferred Qualifications
- Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
- Experience with large-scale data processing frameworks like Spark.
- Familiarity with the challenges of applying AI in enterprise planning or financial domains.
- A portfolio of published research or contributions to open-source AI projects.
- 10 Years +
What Makes This Role Exciting
You will be a key leader in Anaplan’s AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAbout Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Role Summary
We are looking for a technically strong AI / ML Developer with hands-on expertise in training and fine-tuning Small Language Models (SLMs) and RAG Solutions. The ideal candidate will drive end-to-end AI Solutions — from dataset curation and pre-processing to training, evaluation, and production deployment. You will collaborate closely with product, product engineers, and infrastructure teams to build AI solutions that are efficient, scalable, and business-aligned.
Key Responsibilities
1 Model Design & Training
- Design, train, and fine-tune Small Language Models (SLMs) using frameworks such as PyTorch, TensorFlow, or JAX.
- Conduct experiments with supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and instruction tuning.
- Implement efficient training pipelines leveraging distributed training (DDP, FSDP) across GPU/TPU clusters.
- Perform hyperparameter optimisation, ablation studies, and model selection based on benchmark results.
- Develop and maintain data pipelines for collecting, cleaning, tokenising, and pre-processing large-scale training corpora.
2 Model Evaluation & Quality
- Define and implement evaluation frameworks including perplexity, BLEU, ROUGE, BERTScore, and task-specific benchmarks.
- Conduct red-teaming, bias analysis, and safety evaluations to ensure responsible AI deployment.
- Benchmark models against established baselines (e.g., GPT-2, Phi, Mistral) and track performance over iterations.
- Collaborate with QA teams to build regression suites for model versioning and continuous evaluation.
3 MLOps & Deployment
- Containerise and deploy models using Docker, Kubernetes, and cloud-native ML platforms (AWS SageMaker / GCP Vertex AI / Azure ML).
- Build and maintain model registries, experiment tracking (MLflow, Comet), and reproducible training pipelines.
- Optimise inference performance through quantisation (INT8, INT4), pruning, distillation, and ONNX/TensorRT conversion.
- Monitor model drift, data drift, and performance degradation in production; implement automated retraining triggers.
4 Research & Innovation
- Stay current with state-of-the-art NLP/LLM research; prototype and validate new techniques from published literature.
- Contribute to internal knowledge sharing, technical documentation, and model cards.
- Explore parameter-efficient fine-tuning (PEFT) methods such as LoRA, QLoRA, and Adapter layers.
- Investigate and apply mixture-of-experts (MoE), retrieval-augmented generation (RAG), and agentic workflows as needed.
5 Collaboration & Stakeholder Management
- Work with product managers and domain experts to translate business requirements into model objectives and KPIs.
- Communicate model capabilities, limitations, and trade-offs clearly to both technical and non-technical stakeholders.
- Participate in architecture reviews, sprint planning, and cross-functional design discussions.
Required Qualifications
1 Education
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field.
- Equivalent professional experience with a strong portfolio of delivered AI/ML projects will be considered.
2 Experience
- 4 – 6 years of professional experience in machine learning or NLP engineering.
- Minimum 2 years of direct, hands-on experience in training or fine-tuning language models (LLMs or SLMs).
- Demonstrable experience taking a model from dataset preparation through to production deployment.
3 Technical Skills — Core
- Programming: Python (proficient); familiarity with C++/CUDA a plus.
- Deep Learning Frameworks: PyTorch (primary), TensorFlow or JAX.
- NLP Libraries: Hugging Face Transformers, Datasets, PEFT, TRL, Accelerate.
- Training Infrastructure: Multi-GPU training, FSDP, DeepSpeed ZeRO stages 1–3.
- Data Engineering: Pandas, NumPy, Apache Spark or Dask for large-scale data prep.
- Vector DBs & Retrieval: FAISS, Pinecone, Weaviate, or equivalent.
- Cloud Platforms: AWS, GCP, or Azure — ML-specific services (SageMaker, Vertex AI, etc.).
- Version Control & CI/CD: Git, GitHub/GitLab, MLflow or W&B for experiment tracking.
4 Technical Skills — Nice to Have
- Experience with multimodal models or vision-language models (VLMs).
- Knowledge of model safety, alignment techniques, and responsible AI frameworks.
- Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks.
- Contributions to open-source ML projects or publications at NeurIPS, ICML, EMNLP, ACL.
Behavioural Competencies
- Intellectual Curiosity: Keeps up with rapidly evolving AI research and applies learnings pragmatically.
- Problem Solving: Approaches ambiguous problems with structured, data-driven thinking.
- Ownership: Takes full accountability for model quality, timelines, and production reliability.
- Collaboration: Works effectively in cross-functional teams with diverse skill sets.
- Communication: Distils complex technical concepts for diverse audiences.
- Adaptability: Thrives in a fast-paced environment where priorities evolve with research breakthroughs.
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Role Overview
We are seeking a seasoned, strategic Early Lifecycle Retention Lead to own and elevate Payoneer’s company-wide approach to early customer retention. This is a high-impact role focused on reducing churn within the first 90 days of the customer lifecycle—one of the most critical drivers of long-term revenue and customer value in fintech.
Operating at the intersection of data, customer insights, and strategy, this role requires a leader who has successfully partnered with senior stakeholders and led complex, cross-company initiatives. You will be responsible for defining the vision, building scalable frameworks, and embedding a customer-centric approach grounded in deep CX understanding and behavioral insights.
What You’ll Do
- Own and define the company-wide early lifecycle retention strategy, with clear accountability for reducing 0–90 day churn and improving activation and engagement metrics.
- Leverage customer insights and CX data (quantitative and qualitative) to deeply understand customer behavior, pain points, and friction across the early journey.
- Partner closely with senior leadership (VP/SVP level) across GTM, Risk, Product, and Operations to align on priorities, trade-offs, and execution plans.
- Lead large-scale, cross-functional programs end-to-end, from problem definition through execution and measurable business impact.
- Translate complex data into strategic insights, combining behavioral analytics with customer feedback (VoC, NPS, support signals) to identify churn drivers.
- Drive root-cause analysis at scale, incorporating both operational gaps and customer experience breakdowns across the lifecycle.
- Design and implement structured retention and CX frameworks, embedding best practices across onboarding, activation, and engagement journeys.
- Establish clear KPIs and executive-level reporting, including CX and customer health metrics, ensuring transparency and accountability.
- Influence decision-making at the highest levels, presenting sharp, insight-driven narratives that connect customer experience to business outcomes.
- Continuously optimize the early customer experience, including onboarding, activation, risk flows, and key customer touchpoints.
Who You Are
- A strategic operator who combines big-picture thinking with a strong bias for execution.
- Deeply customer-centric, with hands-on experience leveraging customer insights, VoC programs, and CX metrics to drive business decisions.
- Highly analytical and hypothesis-driven, with the ability to connect customer behavior and experience to churn and retention outcomes.
- Proven ability to lead without authority, influencing senior stakeholders and aligning diverse teams toward common goals.
#LI-PB1
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
About Turing:
Based in Palo Alto, California, Turing is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior , multimodality, multilingualism, STEM and frontier knowledge; and leveraging that expertise to build real-world AI systems that solve mission-critical priorities for Fortune 500 companies and government institutions. Turing has received numerous awards, including Forbes's "One of America's Best Startup Employers," #1 on The Information's annual list of "Most Promising B2B Companies," and Fast Company's annual list of the "World's Most Innovative Companies." Turing's leadership team includes AI technologists from industry giants Meta, Google, Microsoft, Apple, Amazon, Twitter, McKinsey, Bain, Stanford, Caltech, and MIT. For more information on Turing, visit www.turing.com. For information on upcoming Turing AGI Icons events, visit go.turing.com/agi-icons.
About the role:
Turing is looking for people with GenAI experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing Intelligence delivery organization and part of a GenAI project. You will be required to lead a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems and LLM deployments for major enterprises.
Required skills:
- 12+ years of professional experience in software engineers and building applications/systems
- 2+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly multi-agent systems.
- Expert proficiency in programming skills in Python, Langgraph and SQL is a must.
- Expert in architecting GenAI applications/systems using various frameworks & cloud services
- Expert proficiency in using AI tools like claude code, codex, cursor, windsurf and the likes.
- Expert proficiency in AI observability & evaluation tools like Langsmith, Langfuse or similar
- Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
- Experience in driving the engineering team toward a technical roadmap.
- Excellent communication skills to effectively collaborate with business SMEs
Roles & Responsibilities:
- Solutioning & Lead
- Build the technical roadmap given a business requirement and own the delivery of the same.
- Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction.
- Design robust multi-agent architectures including supervisor-router patterns with dynamic sub-agent routing and stopping conditions
- Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
- Hands-on skills
- Develop LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like retrieval-augmented generation (RAG) and multi-agent based architectures.
- Build and maintain agent evaluation pipelines, including offline eval datasets, LLM-as-judge, and CI-integrated eval runs
- Codebase ownership: Build & maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
- Cloud integration: Deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
- Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
Ready to apply?
Apply to TuringPrincipal Forward Deployed AI Engineer
Share this job
About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
About the role:
Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.
Required skills
- 8 + years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
- 1+ year of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
- Expert in architecting GenAI applications/systems using various frameworks & cloud services
- Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
- Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
- Experience in driving the engineering team toward a technical roadmap.
- Excellent communication skills to effectively collaborate with business SMEs
Roles & Responsibilities
- Build the technical roadmap given a business requirement and own the delivery of the same.
- Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction.
- Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
- Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
- Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
- Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
- Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
- Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.
Education
- Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
Ready to apply?
Apply to TuringSenior Technical Recruiter
Share this job
About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
Location: India (Mumbai/Pune/Hyderabad/Chennai/Bengaluru) - Remote
Experience: 4-8+ Years
Type: Individual Contributor
About the Role
We are looking for an experienced and high-impact Senior Technical Recruiter to join our growing Talent team. This is a full-cycle, individual contributor role responsible for driving end-to-end recruitment for technical positions across the organization.
The ideal candidate brings strong sourcing depth, structured problem-solving, stakeholder management expertise, and proven closing ability. You will operate in a fast-paced, high-growth environment where ownership, urgency, and quality are equally important.
What You’ll Do
- Own and manage the full recruitment lifecycle for technical roles
- Conduct intake meetings and define hiring strategy with stakeholders
- Build proactive sourcing strategies using LinkedIn Recruiter, Naukri, GitHub, referrals, and niche platforms
- Screen and evaluate candidates for technical capability and culture fit
- Manage the interview process and ensure a seamless candidate experience
- Drive stakeholder alignment and influence hiring decisions
- Lead offer negotiations and candidate closing conversations
- Provide market intelligence (compensation benchmarks, talent mapping, competitor insights)
- Track pipeline metrics and maintain ATS hygiene (Greenhouse preferred)
- Continuously improve hiring processes for speed and quality
What We’re Looking For
Experience
- 4 - 8+ years of technical recruitment experience
- Proven experience managing full-cycle hiring independently
- Experience hiring for Engineering, AI/ML, Corporate roles, Data, Security, or other technical roles
- Experience in startup or high-growth environments preferred
- Exposure to India/US/global hiring is a strong plus
Core Competencies
Technical / Hard Skills
- End-to-end technical recruiting
- Advanced sourcing expertise (Boolean search, LinkedIn Recruiter, GitHub, talent mapping)
- Market intelligence and pipeline building
- Offer negotiation and candidate closing
- ATS experience (Greenhouse preferred)
- Data-driven recruitment and metric tracking
Soft Skills
- Strong stakeholder management and influencing skills
- Structured problem-solving ability
- Ability to operate at startup speed
- Resilience and ownership mindset
- Comfort with ambiguity and competing priorities
- High accountability and execution focus
Ideal Background
We encourage applications from recruiters who have worked in:
- High-growth startups
- SaaS or product-based companies
- Tech-first organizations
- IT services firms with strong technical hiring exposure
Ideal candidates have hired for Engineering, AI/ML, Corporate roles, Data, or Security roles, and are comfortable operating in high-velocity hiring environments.
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
Ready to apply?
Apply to TuringAbout Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com
About the role:
Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises.
Roles & Responsibilities:
- Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
- Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
- Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
- Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
- Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
- Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.
Required skills:
- 8+ years of professional experience in building Machine Learning models & systems
- 1+ years of hands-on experience in how LLMs work & Generative AI (LLM) techniques particularly prompt engineering, RAG, and agents.
- Experience in driving the engineering team toward a technical roadmap.
- Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
- Understanding of Cloud services, including Azure, GCP, or AWS
- Excellent communication skills to effectively collaborate with business SMEs
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are Al forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
Ready to apply?
Apply to TuringRealize your potential by joining the leading performance-driven advertising company!
As an Accounts Payable Specialist on the Finance Team in our Gurgaon office, you’ll play a vital role in maintaining the integrity of our global financial records. We are looking for a highly detail-oriented and collaborative finance professional who thrives in a fast-paced, global environment. This is not just a transactional role - you will manage high-volume vendor invoices, work across multiple entities and currencies, and partner closely with internal stakeholders around the world to ensure accuracy, compliance, and timely reporting.
To thrive in this role, you'll need:
- 3+ years in Accounts Payable, General Ledger, or a similar finance role, ideally in a global or multi-entity environment.
- Strong Excel skills and hands-on experience with ERP systems (NetSuite preferred), with the ability to work across multiple financial platforms.
- Experience working with multiple currencies, international vendors, and global billing structures, with the ability to collaborate across time zones.
- High level of accuracy with the ability to manage high-volume financial data while ensuring compliance with policies and procedures.
- Able to investigate discrepancies, perform reconciliations, support reporting, and explain variances clearly.
- Comfortable working with vendors, finance teams, and internal stakeholders in a fast-paced environment, especially around month-end and quarter-end deadlines.
How you’ll make an impact:
- Invoice & Payment Processing: Handle high volumes of vendor invoices, ensure correct coding, and support timely payments across multiple entities.
- Reconciliations & Reporting: Perform account reconciliations, support month-end / quarter-end close, and assist with variance analysis.
- PO Matching & Compliance: Match invoices to purchase orders, resolve discrepancies, and ensure adherence to internal policies.
- Vendor & Stakeholder Coordination: Work closely with vendors and internal teams to resolve issues and maintain smooth payment processes.
- Global Finance Support: Manage multi-currency transactions and collaborate with teams across regions and time zones.
What we offer:
- Fantastic global career opportunities, competitive salary and generous benefits.
- The chance to be part of building something unique.
- Invaluable experience in the world’s leading discovery & native advertising platform
- The opportunity to join an international team, that’s ambitious, revenue driven with a deep technical knowledge of digital advertising so the chance to learn from the best.
- A company that embraces change, has enormous potential for growth and offers a challenging yet collaborative working environment where you will always feel valued and be given every opportunity to make a name for yourself.
- An office culture that’s international, social, and supportive.
Why Taboola?
If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:
- Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
- Well-being: With an office culture that’s international, social and supportive, Taboola offers very generous benefits including 30 days holiday, excellent health insurance, some flexible working, and stock options to name just a few.
- Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
- Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.
Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.
Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.
About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.
Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.
Sounds good, how do I apply?
It’s easy, submit your CV by clicking the “Apply” button below.
#LI-ST1
#LI-Hybrid
Ready to apply?
Apply to Taboola
Realize your potential by joining the leading performance-driven advertising company!
As a SOX Specialist on the Finance Team in our Gurgaon office, you’ll play a vital role in maintaining the integrity of our global control environment. We are looking for a highly detail-oriented and collaborative finance professional who thrives in a fast-paced, global environment. This is not just a compliance role, you will help manage and enhance our SOX program across business processes and ITGC, partner with stakeholders across the company, and ensure our control framework remains strong as we continue to grow globally.
To thrive in this role, you'll need:
- 3–5 years of experience in SOX, audit, or internal controls, ideally with a Big 4 background or experience in a public or global company environment.
- Hands-on experience with SOX testing across both Business Process Controls and IT General Controls (ITGC).
- Strong understanding of SOX methodology, risk assessments, walkthroughs, and control frameworks.
- Experience working with ERP systems (NetSuite preferred) and SOX / documentation tools such as Workiva or similar platforms.
- Ability to manage multiple priorities, work independently, and collaborate with global stakeholders across different time zones.
- High attention to detail with strong analytical skills, able to identify control gaps, investigate issues, and support remediation plans.
How you’ll make an impact:
- SOX Testing & Compliance: Perform testing of business controls and ITGC, ensuring controls are designed and operating effectively.
- Control Environment Support: Partner with control owners to maintain accurate documentation, flowcharts, and control matrices.
- SOX Program Management: Support quarterly and annual SOX cycles, including walkthroughs, evidence collection, and reviews.
- Process Improvement: Identify opportunities to strengthen controls, improve efficiency, and support automation initiatives.
- Cross-Functional Collaboration: Work closely with Finance, IT, and global teams to ensure compliance across all entities.
- Global Finance Support: Contribute to a strong, scalable control environment in a fast-growing, international organization.
What we offer:
- Fantastic global career opportunities, competitive salary and generous benefits.
- The chance to be part of building something unique.
- Invaluable experience in the world’s leading discovery & native advertising platform
- The opportunity to join an international team, that’s ambitious, revenue driven with a deep technical knowledge of digital advertising so the chance to learn from the best.
- A company that embraces change, has enormous potential for growth and offers a challenging yet collaborative working environment where you will always feel valued and be given every opportunity to make a name for yourself.
- An office culture that’s international, social, and supportive.
Why Taboola?
If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:
- Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
- Well-being: With an office culture that’s international, social and supportive, Taboola offers very generous benefits including 30 days holiday, excellent health insurance, some flexible working, and stock options to name just a few.
- Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
- Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.
Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.
Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.
About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.
Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.
Sounds good, how do I apply?
It’s easy, submit your CV by clicking the “Apply” button below.
#LI-ST1
#LI-Hybrid
Ready to apply?
Apply to Taboola
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is on a mission to revolutionize business planning by connecting organizations and people to make better, faster decisions. We are seeking a visionary Senior Manager for AI Engineering to lead our talented team in building the next generation of intelligent planning solutions. This is a critical leadership role where you will drive the technical strategy and execution for AI/ML initiatives, directly impacting Anaplan’s product and our customers' success. You will be at the forefront of integrating cutting-edge AI, from time series forecasting to generative and agentic AI, into our market-leading platform.
Key Responsibilities
- Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence.
- Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy.
- Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance.
- Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions.
- Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities.
- Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions.
Required Qualifications
- Proven experience leading AI/ML teams in a SaaS or enterprise software environment.
- Deep expertise in time series forecasting and machine learning.
- Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures.
- Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
- Experience with agentic frameworks and autonomous agent architectures.
- Proficiency in Python and modern software development practices (testing, code review, CI/CD).
- Proven track record of delivering complex technical projects on time with high quality.
- Excellent communication, collaboration, and stakeholder management skills.
- Track record of delivering impactful AI solutions in a fast-paced, agile environment.
Preferred Qualifications
- Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
- Experience with large-scale data processing frameworks like Spark.
- Familiarity with the challenges of applying AI in enterprise planning or financial domains.
- A portfolio of published research or contributions to open-source AI projects.
- Experience requrired - 15+ Yrears
What Makes This Role Exciting
You will be a key leader in Anaplan’s AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Here at Anaplan, we have reinvented how companies see, plan, and run their businesses. Our platform allows our customers to uncover new insights, connect their strategy to their plans, and work in ways they had not previously thought possible. Anaplan is the only scenario planning and analysis platform designed to optimize decision-making in today's complex business environment so that enterprises can outpace their competition and the market. By building connections and collaboration across organizational silos, our platform intelligently surfaces key insights — so businesses can make the right decisions, right now. We are seeking a talented AI QA Lead to guide our team and ensure the quality and reliability of our cutting-edge AI and machine learning solutions.
Key Responsibilities
- Lead, mentor, and grow high-performing QA Engineers across multiple stream aligned teams.
- Define and drive the overall QA strategy for our Forecasting project, with a focus on time-series forecasting.
- Oversee the design, development, and maintenance of automated test frameworks.
- Guide the team in implementing and executing robust test cases for our AI-powered features and APIs.
- Champion the use of BDD frameworks, such as Gherkin, to create clear, concise, and maintainable tests.
- Ensure the team effectively tests and validates RESTful APIs to meet high standards of quality and performance.
- Collaborate with product managers, data scientists, and engineering leads to align on quality standards and release criteria.
- Oversee the identification, documentation, and tracking of bugs and inconsistencies in our AI/ML systems.
- Drive improvements to our CI/CD pipeline to ensure that our AI models are continuously tested and deployed with confidence.
Required Qualifications
- A skilled QA Engineer with 8+ years of experience testing and assuring the quality of complex platform, infrastructure, or data-centric systems.
- Strong proficiency in Python.
- Proven experience leading or mentoring a QA team in a fast-paced technical environment.
- Deep understanding of machine learning concepts and a proven track record of testing ML models, particularly in the domain of time-series forecasting.
- Expertise with testing frameworks such as pytest.
- Strong experience with Behavior-Driven Development (BDD) and Gherkin.
- In-depth knowledge of API testing and validation.
- Proficiency in modern software development practices (testing, code review, CI/CD).
- A proven track record of delivering complex technical projects on time with high quality.
- Excellent leadership, communication, and interpersonal skills.
Preferred Qualifications
- Experience with performance, scalability, and security testing of AI systems.
- Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML services.
- Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
- Experience with strategic planning and roadmap development for a QA function.
- A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
What Makes This Role Exciting
- You will lead a talented team at the forefront of AI innovation, working on a platform that is transforming how businesses make decisions.
- You will have a strategic impact, shaping the future of quality for our AI-powered products.
- You will be part of a collaborative and creative leadership team that values openness, authenticity, and inclusivity.
- We are a fast-growing company, and you will have ample opportunities for professional growth and to define your team's trajectory.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.
Key Responsibilities
- Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
- Develop and productionize ML models, taking them from prototype to scalable, live systems.
- Construct and manage the data pipelines required for model training, validation, and inference.
- Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
- Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
- Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
- Optimize applications for speed, scalability, and reliability.
- Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.
Required Qualifications
- Expert (10+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
- Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
- Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
- Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
- Data manipulation and analysis: Pandas, NumPy.
- Core ML frameworks: scikit-learn.
- Deep learning frameworks: Experience with TensorFlow or PyTorch.
- Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
- Experience with version control (Git) and CI/CD practices.
- Excellent problem-solving skills and the ability to write efficient, production-ready code.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
- Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
- Knowledge of large-scale data processing frameworks like Spark or Dask.
What Makes This Role Exciting
This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
Team Description
As part of the ADO Platform Enablement team under GPTO Engineering, you’ll report to the Sr. Director Engineering. This team is accountable for shaping enterprise data architecture, enabling high-performance AI-driven workloads, and acting as a technical bridge between engineering and architecture.
Your Impact
Team Leadership & Development
- Build, mentor, and scale a high-performing engineering team based on actual demand and delivery needs
- Provide hands-on coaching and guidance to Principal Engineers and team members, fostering technical excellence and career growth
- Quickly establish trust with team members, peers, and stakeholders through authentic engagement and delivery
- Champion engineering culture that balances pragmatic delivery with sustainable practices
Delivery Excellence
- Drive fast-paced, continuous delivery practices—leading the transformation from monthly to daily release cycles
- Balance process rigor with delivery velocity; know when documentation adds value and when it creates friction
- Apply and evangelize proper use of DORA metrics to measure and improve team performance
- Ensure platform capabilities for data processing, AI, and developer acceleration ship reliably and on schedule
- Take ownership of delivery outcomes; work proactively with Product Management without waiting for perfect requirements
Technical Strategy & Collaboration
- Partner closely with architects to align implementation patterns with long-term technical direction
- Create clear, compelling strategy papers, roadmaps, and presentations for technical and executive audiences
- Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns
- Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services
- Contribute to technical planning, architecture decisions, and incident retrospectives
Platform & Product Mindset
- Apply product thinking to platform solutions, ensuring they meet real business and customer needs
- Champion innovation in performance, tooling, and platform capabilities
- Oversee design and delivery of full stack solutions spanning React, Java, and Python
- Facilitate cross-functional collaboration across engineering, product, and architecture
Your Qualifications
Leadership & Management
- 10+ years of software engineering experience with 5+ years in engineering management or technical leadership
- Proven track record managing teams through significant process transformations (e.g., monthly to daily releases)
- Experience managing both technical leads/Principal Engineers and individual contributors
- Demonstrated ability to scale teams thoughtfully based on demand, not politics
Technical Depth
- Strong software development background with hands-on experience in platform, infrastructure, or data-centric environments
- Deep expertise in event-driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar)
- Proficiency across full stack technologies (Java, .Net, React) with ability to guide technical decisions
- Knowledge of hybrid/cloud-agnostic infrastructure, CI/CD, GitOps, and continuous delivery workflows
Delivery & Process
- Pragmatic approach to balancing process, documentation, and speed of delivery
- Deep understanding of DORA metrics and their proper application to drive improvement
- Experience leading high-velocity engineering organizations with daily release cadence
- Skilled at change management and cultural transformation in engineering teams
Communication & Collaboration
- Exceptional communication skills—written and verbal—with ability to influence across all levels
- Experienced creating executive-level strategy documents, roadmaps, and presentations
- Comfortable working with globally distributed teams across multiple timezones
- Strong collaborative partnership with Product Management; proactive problem-solving mindset
Preferred Skills
- Track record of building trust rapidly in new environments
- Passion for technical mentorship and elevating team capabilities
- Experience scaling systems and teams under high throughput demands
- Ability to navigate ambiguity and drive delivery without perfect information
- Comfort with asynchronous collaboration and remote team dynamics
- Experience in hybrid engineering-management roles (player-coach background)
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is on a mission to revolutionize business planning by connecting organizations and people to make better, faster decisions. We are seeking a visionary Senior Manager for AI Engineering to lead our talented team in building the next generation of intelligent planning solutions. This is a critical leadership role where you will drive the technical strategy and execution for AI/ML initiatives, directly impacting Anaplan’s product and our customers' success. You will be at the forefront of integrating cutting-edge AI, from time series forecasting to generative and agentic AI, into our market-leading platform.
Key Responsibilities
- Lead, mentor, and grow a high-performing team of AI/ML engineers, fostering a culture of innovation, collaboration, and excellence.
- Define and execute the roadmap for AI/ML projects, ensuring alignment with business objectives and product strategy.
- Architect and oversee the development of scalable, robust, and production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Drive best practices for the full machine learning lifecycle, including MLOps, CI/CD for ML, model monitoring, and governance.
- Collaborate closely with product managers, data scientists, and other engineering leaders to translate business requirements into technical solutions.
- Stay at the forefront of advancements in AI/ML, including Large Language Models (LLMs) and agentic AI, to identify and implement new opportunities.
- Manage project timelines, resources, and stakeholder communication to ensure the timely delivery of high-quality AI solutions.
Required Qualifications
- Proven experience leading AI/ML teams in a SaaS or enterprise software environment.
- Deep expertise in time series forecasting and machine learning.
- Experience architecting and deploying scalable, production-grade AI systems on cloud platforms (AWS, Azure, GCP).
- Solid understanding of MLOps, CI/CD for ML, and cloud-native architectures.
- Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
- Experience with agentic frameworks and autonomous agent architectures.
- Proficiency in Python and modern software development practices (testing, code review, CI/CD).
- Proven track record of delivering complex technical projects on time with high quality.
- Excellent communication, collaboration, and stakeholder management skills.
- Track record of delivering impactful AI solutions in a fast-paced, agile environment.
Preferred Qualifications
- Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field.
- Experience with large-scale data processing frameworks like Spark.
- Familiarity with the challenges of applying AI in enterprise planning or financial domains.
- A portfolio of published research or contributions to open-source AI projects.
- Experience - 15+ years
What Makes This Role Exciting
You will be a key leader in Anaplan’s AI journey, with the autonomy to shape our technical direction and build a world-class engineering team. This is a unique opportunity to solve complex, real-world problems and deliver intelligent solutions that empower major global enterprises to make more informed decisions. You will work with a passionate team on the cutting edge of AI, making a tangible impact on our product and the industry.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.
Key Responsibilities
- Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
- Develop and productionize ML models, taking them from prototype to scalable, live systems.
- Construct and manage the data pipelines required for model training, validation, and inference.
- Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
- Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
- Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
- Optimize applications for speed, scalability, and reliability.
- Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.
Required Qualifications
- Expert (6+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
- Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
- Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
- Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
- Data manipulation and analysis: Pandas, NumPy.
- Core ML frameworks: scikit-learn.
- Deep learning frameworks: Experience with TensorFlow or PyTorch.
- Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
- Experience with version control (Git) and CI/CD practices.
- Excellent problem-solving skills and the ability to write efficient, production-ready code.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
- Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
- Knowledge of large-scale data processing frameworks like Spark or Dask.
What Makes This Role Exciting
This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
Anaplan is looking for a skilled Python Machine Learning Developer to join our AI engineering organization. This is a crucial, hands-on developer role focused on building the robust backend systems that power our machine learning features. You are not just a developer; you are a software engineer who specializes in bringing ML models to life in a production environment. You will be responsible for designing, building, and deploying the APIs, data pipelines, and backend services necessary to integrate sophisticated machine learning capabilities into the Anaplan platform.
Key Responsibilities
- Design, build, and maintain scalable and reliable machine learning services and APIs using Python.
- Develop and productionize ML models, taking them from prototype to scalable, live systems.
- Construct and manage the data pipelines required for model training, validation, and inference.
- Build and interact with databases (both SQL and NoSQL) to store and retrieve data for ML applications.
- Write clean, high-quality, and well-tested code, adhering to software engineering best practices.
- Collaborate with data scientists, AI architects, and other engineers to integrate ML models into our products.
- Optimize applications for speed, scalability, and reliability.
- Contribute to our MLOps infrastructure to streamline the deployment and monitoring of machine learning models.
Required Qualifications
- Expert (6+ years) Python Programming: Strong, hands-on proficiency in Python for software development.
- Backend & API Development: Proven experience building and deploying backend services and RESTful APIs using frameworks like Flask, FastAPI, or Django.
- Database Proficiency: Solid experience with both SQL (e.g., PostgreSQL) and NoSQL (e.g., MongoDB, Redis) databases, including data modeling and query optimization.
- Machine Learning Libraries: Deep, practical knowledge of the core Python ML ecosystem:
- Data manipulation and analysis: Pandas, NumPy.
- Core ML frameworks: scikit-learn.
- Deep learning frameworks: Experience with TensorFlow or PyTorch.
- Strong understanding of software engineering principles, including data structures, algorithms, and design patterns.
- Experience with version control (Git) and CI/CD practices.
- Excellent problem-solving skills and the ability to write efficient, production-ready code.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Experience with cloud platforms (AWS, Azure, or GCP) and their ML services.
- Familiarity with containerization technologies like Docker and orchestration with Kubernetes.
- Experience with MLOps tools and principles (e.g., MLflow, Kubeflow).
- Knowledge of large-scale data processing frameworks like Spark or Dask.
What Makes This Role Exciting
This role places you at the critical intersection of software engineering and machine learning. You are a builder, responsible for creating the tangible systems that make our AI intelligent. You will tackle complex engineering challenges, from API design to database performance, all within the context of delivering cutting-edge machine learning features. At Anaplan, you will see your code run at scale, directly impacting a product used by leading global enterprises and solving real-world business problems.
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
About the Role
We're seeking a versatile GenAI Software Engineer who can work across the full stack of GenAI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills.
Key Responsibilities
- Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments
- Integrate and optimize LLMs for specific use cases in business planning, including prompt engineering, RAG implementation
- Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language
- Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics
- Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations
- Optimize model inference pipelines for performance, cost, and scalability in production environments
- Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour
- Collaborate with data scientists to productionize ML models and forecasting algorithms
- Write comprehensive tests including unit tests, integration tests, and prompt regression suites
- Participate in code reviews, technical design discussions, and knowledge-sharing sessions
- Stay current with GenAI research and tools, evaluating new models and techniques for potential adoption
Required Qualifications
- 3+ years of software engineering experience with 2+ years of understanding on ML/AI systems.
- Strong programming skills in Python including understanding of ML frameworks (PyTorch, TensorFlow, Transformers)
- Understanding or experience of building and deploying LLM-powered applications in production
- Understanding or experience of front-end development with React, TypeScript, and modern web technologies
- Understanding of RESTful API design, microservices architecture, and cloud infrastructure
- Experience with prompt engineering, RAG systems
- Understanding of ML fundamentals including NLP, time-series analysis, or recommender systems
- Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
- Excellent problem-solving skills and attention to detail
- Bachelor’s degree in computer science, Machine Learning, or related field
Preferred Qualifications
- Experience with GenAI frameworks (LangChain, LlamaIndex, Haystack, or similar)
- Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models
- Experience with model serving frameworks (vLLM, TensorRT, Ray)
- Background in forecasting, planning, or analytics applications
- Familiarity with Anaplan or similar enterprise planning platforms
- Experience with A/B testing and experimentation frameworks for AI features
- Contributions to open-source ML projects or research publications
- Experience with model observability tools (LangSmith, W&B, MLflow)
What Makes This Role Exciting
- Lead a greenfield team building transformative AI capabilities from the ground up
- Work on cutting-edge conversational and agentic AI technologies
- Build user-facing AI features that directly impact how businesses plan and make decisions
- Experiment with the latest GenAI models and techniques
- Collaborate with talented engineers, data scientists, and product designers
- Solve unique challenges at the intersection of AI and enterprise software
- Grow your skills in both ML engineering and full-stack development
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAt Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.
What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.
Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.
Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small.
Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!
Team Description
As part of the ADO team under GPTO Engineering, you’ll report to the Sr. Director Engineering. This team is accountable for Quality/Performance assuring enterprise data architecture, enabling high-performance AI-driven workloads, and acting as a technical bridge between engineering and architecture.
Your Impact
Team Leadership & Development
- Build, mentor, and scale a high-performing engineering team based on actual demand and delivery needs
- Provide hands-on coaching and guidance to Principal Engineers and team members, fostering technical excellence and career growth
- Quickly establish trust with team members, peers, and stakeholders through authentic engagement and delivery
- Champion engineering culture that balances pragmatic delivery with sustainable practices
Delivery Excellence
- Drive fast-paced, continuous delivery practices—leading the transformation from monthly to daily release cycles
- Balance process rigor with delivery velocity; know when documentation adds value and when it creates friction
- Apply and evangelize proper use of DORA metrics to measure and improve team performance
- Ensure platform capabilities for data processing, AI, and developer acceleration ship reliably and on schedule
- Take ownership of delivery outcomes; work proactively with Product Management without waiting for perfect requirements
Technical Strategy & Collaboration
- Partner closely with architects to align implementation patterns with long-term technical direction
- Create clear, compelling strategy papers, roadmaps, and presentations for technical and executive audiences
- Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns
- Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services
- Contribute to technical planning, architecture decisions, and incident retrospectives
Platform & Product Mindset
- Apply product thinking to platform solutions, ensuring they meet real business and customer needs
- Champion innovation in performance, tooling, and platform capabilities
- Oversee design and delivery of full stack solutions spanning React, Java, and Python
- Facilitate cross-functional collaboration across engineering, product, and architecture
Your Qualifications
Leadership & Management
- 10+ years of software engineering experience with 5+ years in engineering management or technical leadership
- Proven track record managing teams through significant process transformations (e.g., monthly to daily releases)
- Experience managing both technical leads/Principal Engineers and individual contributors
- Demonstrated ability to scale teams thoughtfully based on demand, not politics
Technical Depth
- Strong software development background with hands-on experience in platform, infrastructure, or data-centric environments
- Deep expertise in event-driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar)
- Proficiency across full stack technologies (Java, .Net, React) with ability to guide technical decisions
- Knowledge of hybrid/cloud-agnostic infrastructure, CI/CD, GitOps, and continuous delivery workflows
Delivery & Process
- Pragmatic approach to balancing process, documentation, and speed of delivery
- Deep understanding of DORA metrics and their proper application to drive improvement
- Experience leading high-velocity engineering organizations with daily release cadence
- Skilled at change management and cultural transformation in engineering teams
Communication & Collaboration
- Exceptional communication skills—written and verbal—with ability to influence across all levels
- Experienced creating executive-level strategy documents, roadmaps, and presentations
- Comfortable working with globally distributed teams across multiple timezones
- Strong collaborative partnership with Product Management; proactive problem-solving mindset
Preferred Skills
- Track record of building trust rapidly in new environments
- Passion for technical mentorship and elevating team capabilities
- Experience scaling systems and teams under high throughput demands
- Ability to navigate ambiguity and drive delivery without perfect information
- Comfort with asynchronous collaboration and remote team dynamics
- Experience in hybrid engineering-management roles (player-coach background)
Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB)
We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.
Fraud Recruitment Disclaimer
It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.
Anaplan does not:
- Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.
- Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.
All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.
Ready to apply?
Apply to AnaplanAbout Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Role summary
We’re looking for a Principal Architect who is a tech-enthusiast with a drive for excellence, and an out-of-the-box mindset to satisfy business needs in a complex payment solution environment.
Location: Gurgaon-India
Hybrid - Full-time
What You’ll Do
- You will be a core member of the Cloud Modernization initiative, a high-impact engineering function responsible for transforming our technology backbone into a modern, cloud-native platform.
- You will operate at the intersection of cloud architecture and enterprise modernization, leading critical initiatives to migrate, modernize, and re-architect legacy platforms into scalable, secure, and highly automated cloud-native systems.
- You will lead initiatives from a technical front, defining target architectures, establishing modernization patterns, and driving execution across engineering teams. You will design and implement cloud-native solutions, modern infrastructure platforms, and secure cloud environments that can support global-scale workloads.
- This role operates in a mission-driven model, where you will engage with multiple teams to accelerate modernization, unblock critical initiatives, and establish patterns and platforms that can be adopted broadly across the organization.
- You will work closely with architecture, platform, infrastructure, security, and product teams to modernize legacy systems, migrate databases and applications to the cloud, introduce modern DevOps and platform engineering practices, and raise the overall cloud maturity of the organization.
- Your work will directly shape the company’s future cloud platform and engineering velocity.
Who You Are
- You are a seasoned Cloud and Modernization Architect with a strong sense of ownership and accountability. You are comfortable operating in complex enterprise environments and driving large-scale transformation initiatives.
- You bring deep expertise across cloud platforms, infrastructure, databases, and DevOps, and can translate legacy architectures into modern, scalable, and cloud-native systems.
- You balance long-term architectural vision with pragmatic execution and understand how to modernize systems safely and incrementally.
- You embrace change and continuously adapt to evolving technologies, architectures, and organizational needs. You are proactive, curious, and comfortable making architectural decisions in ambiguous environments.
- You thrive in cross-team environments and influence teams through technical leadership, clarity, and strong execution.
- You are impact-driven, not territory-driven, and measure success by how effectively you modernize systems, enable teams, and improve the organization’s overall cloud maturity.
Key skills and competencies
- 10+ years of experience in cloud architecture, infrastructure, or platform engineering
- Deep hands-on experience with public cloud platforms, preferably AWS
- Proven experience leading cloud migration and modernization of enterprise systems
- Strong experience designing cloud architecture including compute, storage, networking, and security
- Strong experience with Infrastructure as Code, preferably Terraform or CloudFormation
- Experience with cloud networking, VPC design, private connectivity, and secure architectures
- Experience with relational databases such as PostgreSQL, MySQL, or Aurora
- Experience with NoSQL databases such as DynamoDB, MongoDB, or similar
- Experience with containers and Kubernetes, preferably EKS
- Experience building and operating CI/CD pipelines and modern DevOps practices
- Experience modernizing legacy systems into microservices or cloud-native architectures
- Experience with high availability, scalability, and disaster recovery design
- Experience working in enterprise environments with strong security and compliance requirements
- B.S. in computer science or equivalent
The Payoneer Ways of Working Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Continuously improve
Always striving for a higher standard than our last.
Do it. Own it.
Being fearlessly accountable in everything we do.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
#LI-AK1
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
About the Role
As a Lead - International taxation, you will play a vital role in managing and optimizing the international tax activities of our organization. You will be responsible for developing and implementing tax strategies to minimize tax liabilities, ensure compliance with international tax regulations, and support the overall financial objectives of WFM Payoneer. The successful candidate will have a deep understanding of international tax laws and regulations, strong analytical skills, and the ability to effectively communicate complex tax concepts to stakeholders.
What you’ll be spending your time on
- Develop and implement international tax strategies to optimize WFM Payoneer's global tax position and minimize tax risks.
- Monitor changes in international tax laws and regulations, and assess their impact on WFM Payoneer, and recommend necessary actions.
- Conduct research and analysis on complex international tax issues, including transfer pricing, foreign tax credits, tax treaties, and permanent establishments.
- Ensure compliance with international tax reporting and filing requirements, including preparation and review of tax returns, transfer pricing documentation, and country-by-country reporting.
- Collaborate with cross-functional teams, including finance, legal, and operations, to provide tax advice and support on international business transactions, mergers and acquisitions, and transfer pricing arrangements.
- Assist in the development and implementation of tax-efficient structures for WFM Payoneer international operations, including holding companies, repatriation strategies, and intercompany transactions.
What we’re looking for
- Chartered Accountant qualification is strongly preferred.
- Minimum of 3-6 years (PQE) of relevant experience in domestic and international tax planning and compliance, preferably in a multinational corporation or a public accounting firm.
- In-depth knowledge of domestic and international tax laws, regulations, and principles, including transfer pricing rules, tax treaties, and cross-border transactions.
- Experience in preparing submissions to tax notices, Exposure to handling tax litigations, exposure to working with external agencies around tax litigations is required.
- Experience in preparing tax computations and tax returns (direct and indirect tax) from starting which involves collating the financial data to submitting the tax return form.
- Experience in managing and executing complex international tax projects, including mergers and acquisitions and transfer pricing documentation.
- Excellent communication skills, both verbal and written, with the ability to explain complex tax concepts to non-tax professionals.
- Proven ability to work collaboratively in a cross-functional team environment and effectively manage relationships with internal and external stakeholders.
- Strong organizational skills and the ability to manage multiple priorities and meet deadlines in a fast-paced environment.
- Proficiency in tax software and Microsoft Office suite, including advanced Excel skills.
- Knowledge of international accounting standards (e.g., IFRS) and their impact on tax reporting is a plus.
#LI-PG1
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Full-time
Are you a mobile wizard who dreams in Swift or Kotlin, and maybe even Flutter or React Native? Do you obsess over performance, seamless UX, and pushing mobile experiences to the next level? If yes, we want you on our team at Payoneer, where we power global payments for millions of businesses worldwide.
What You’ll Do
- Lead the charge in designing, building, and scaling high-performance mobile apps for Android and iOS.
- Mentor and inspire a team of talented mobile engineers, sharing your knowledge of native as well as cross-platform technologies like Flutter, React Native, or Kotlin Multiplatform (KMP).
- Set the bar for mobile performance, reliability, and user experience, making sure our apps are blazing fast and bulletproof.
- Collaborate with product, design, and backend teams to deliver innovative features that delight our global users.
- Stay ahead of the curve in mobile tech trends and influence architecture decisions across the mobile domain.
What You Bring
- 9+ years of mobile development experience, with strong hands-on expertise in Android or iOS.
- Deep understanding of at least 1 cross-platform framework (Flutter / React Native / KMP) , bonus points if it’s React Native.
- Deep understanding of mobile fundamentals, including memory management, threading, app lifecycle, and UI performance optimization.
- A passion for measuring and improving app performance, metrics such as start-up times, frozen frames, app size, etc
- Excellent communication and leadership skills: you can mentor, inspire, and grow the team.
- Familiarity with CI/CD pipelines, automated testing, and code quality practices is a plus.
Why You’ll Love Working at Payoneer
- Impact millions of users globally through cutting-edge mobile experiences.
- Be part of a culture that values innovation, ownership, and thinking outside the box.
- Flexible work options and a team that’s as fun as it is brilliant.
- Competitive compensation, amazing perks and growth opportunities for tech leaders.
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Role summary
We are looking for a Frontend Engineering Manager to lead our Frontend Platform and Micro-Frontend architecture. This role owns frontend engineering outcomes end-to-end from platform strategy and architecture to delivery excellence, quality, and developer productivity.
You will manage and grow high-performing frontend teams, define platform standards, and partner closely with Product, Design, and Backend leaders to build scalable, high-quality user experiences.
Key Responsibilities
Leadership & People Management
- Lead, mentor, and grow a team of frontend engineers
- Set clear technical and delivery expectations, provide regular feedback, and support career growth
- Build a strong engineering culture around ownership, quality, and continuous improvement
Frontend Platform Ownership
- Own the frontend platform vision and roadmap, focusing on scalability, performance, and developer experience
- Define and evolve shared frontend foundations: design systems, component libraries, tooling, and CI/CD pipelines
- Drive standardization while enabling team autonomy
Micro-Frontend Architecture
- Lead the design, implementation, and evolution of micro-frontend architecture
- Define best practices for module federation, deployment independence, versioning, and cross-team integration
- Ensure seamless composition, performance optimization, and runtime stability across micro-frontends
Delivery & Outcomes
- Own end-to-end delivery outcomes — from requirements and architecture to release, monitoring, and iteration
- Balance speed and quality through strong engineering practices (testing, observability, performance budgets)
- Partner with Product and Design to translate business goals into scalable frontend solutions
Technical Excellence
- Be hands-on at the architectural level; guide critical technical decisions and reviews
- Drive adoption of modern frontend technologies and patterns
- Proactively address frontend performance, accessibility, security, and reliability
Required Qualifications
- 8+ years of frontend engineering experience, with 2+ years managing frontend teams
- Strong experience building and scaling frontend platforms
- Proven hands-on expertise with micro-frontend architectures (e.g., Module Federation, single-spa, or equivalent)
- Deep knowledge of modern frontend stacks (React preferred), state management, build systems, and tooling
- Experience owning large-scale frontend systems used by multiple teams
Preferred Qualifications
- Experience leading platform teams serving multiple product teams
- Strong understanding of design systems and cross-functional collaboration with Design
- Experience in B2B or high-scale consumer products
- Exposure to performance optimization at scale
What Success Looks Like
- A scalable, reliable frontend platform enabling fast, independent team delivery
- High-quality micro-frontend architecture with strong performance and developer experience
- Frontend teams that consistently deliver outcomes, not just features
- Engineers who feel supported, challenged, and growing
- Take ownership of team growth, recruitment, and development processes.
Who you are:
- A collaborative team player with strong leadership and communication skills.
- High proficiency in English, both written and verbal.
- A passion for managing and growing talent.
- Ambition and a strong eagerness to learn and adapt.
- Global Leadership Experience is a must.
- Experience in managing at least 3-4 development teams.
What could set you apart:
- Education: B.Sc. in Computer Science or a related field is required.
- Leadership: 5+ years of managerial experience, leading large development groups or overseeing R&D in small/medium companies.
- Development: 5+ years as a developer with full-stack experience (e.g., C#, .NET, Java).
- Technical Expertise: Proficiency with REST APIs, Queues, and Microservices architecture and database experience.
- Architectural Knowledge: Strong understanding of OOP, design patterns, and system development (not just services).
- Engineering Practices: Expertise in code reviews, test coverage, and agile methodologies.
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
India is one of Payoneer’s most critical and fastest‑growing regions, and this role will play a central role in shaping India as a long‑term talent hub, leadership pipeline, and capability center for the company globally.
This role reports to the Chief People Officer and serves as the senior‑most People leader in India, working closely with the global People Leadership Team and India‑based senior business leaders.
Key Responsibilities:
People Strategy & Business Partnership
- Act as a trusted advisor to senior business leaders across India, providing strategic guidance on organization design, workforce planning, talent development, and change leadership.
- Align HR strategy with business priorities to drive performance, capability, and culture across teams.
- Bring a strong India perspective into global people strategy discussions, constructively shaping and influencing global frameworks to ensure relevance, scalability, and impact in the region.
Team Leadership
- Lead, coach, and develop a high-performing HR team, ensuring clarity between HRBP and People Partner roles and strong collaboration across the function.
- Provide senior local HR touchpoint for local members of HR centers of excellence (CoEs) in India, bringing the broader team together as appropriate.
- Foster a shared team identity and ways of working that reflect our company values and regional needs.
Organizational Effectiveness
- Drive local execution of organizational design, transformation, and change efforts in partnership with global HR colleagues.
- Champion initiatives around succession planning, capability development, and engagement, tailoring them to India’s talent landscape.
- Support organizational design and change across large, fast‑scaling, and diverse teams, balancing global consistency with India‑specific talent, cost, and scalability considerations.
Operational Excellence
- Ensure high-quality, consistent delivery of core people processes such as performance management, compensation planning, talent reviews, and engagement action plans.
- Oversee the employee relations work delivered by the People Partner team—ensuring cases are handled with fairness, consistency, and compliance with India’s regulatory environment.
- Drive continuous improvement in how we support managers—enabling the People Partner team to provide practical, timely, and aligned support on everyday people matters.
- Partner with global CoEs to adapt and embed people tools and frameworks that are locally relevant and effective.
- Act as the senior escalation point for complex employee relations, compliance, or people‑risk issues in India, partnering closely with Legal, Risk, and global HR leadership as required.
Collaboration & Influence
- Serve as the key connector between India-based business leaders and global HR programs—ensuring regional insights are shared and local adoption is thoughtful.
- Represent the India region in global HR planning, contributing to the evolution of our people strategy and operations.
What You’ll Bring:
- 12+ years of progressive HR experience, including HR leadership roles and oversight of HRBP and/or People Partner teams.
- Deep knowledge of India labor law and HR compliance, with strong business acumen and experience in multinational or matrixed organizations.
- Proven success in building strong business partnerships, leading through change, and enabling team growth.
- Demonstrated ability to manage complexity while staying grounded in people-first leadership.
- Fluent in English, with strong communication, coaching, and influencing skills.
- Experience supporting large and/or fast‑scaling workforces in India, with demonstrated credibility partnering with senior business, product, and functional leaders.
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
What’s the job?
· Serving as the subject matter expert and be the primary contributor to lifecycle marketing strategy and tactics for activating the “marketing managed” segment of customers globally
· Serving as a thought leader to identify and create engagement roadmap, develop champion and challenger strategies to optimize results in an ongoing fashion across the entire global customer base
· Working with rest of Lifecycle Marketing, Product Marketing, Customer Journey, Portfolio, and other stakeholders to engage in Customer Journey Mapping. This involve analysing critical customer touch points with the organization and maximizing commercial opportunities through timely and relevant engagement strategy and tactics.
· Tracking, reporting, and analyzing key trends to identify ongoing opportunities for program improvements
· Driving global Marketing managed customer revenue and profitability, including customer engagement, product adoption and usage by cohort, retention and average lifetime revenue per customer.
· Innovating and experimenting on how we connect with our customers at key points in their journey to drive meaningful growth at the global scale, with an expanded set of channels and touchpoints.
· Developing and implementing experimentation for all aspects of the customer lifecycle to test, learn and scale the most effective approach for growth, including channel/ touchpoint strategy and optimization.
· Ensuring a regular cadence of customer insights gathering and sharing, planning and performance share outs, campaign-specific insights & learnings with regional stakeholders, the wider LCM team as well as the global marketing team (and beyond) to share best practices and to inform engagement and strategy roadmap (marketing and beyond).
Does this sound like you?
· 5+ years of experience in managing lifecycle, cross-sell and up-sell programs.
· Strong growth mindset with a focus on actionable strategies at scale
· Ability to both think strategically and execute tactically, with excellent communication and leadership skills.
· Proven track record in delivering long-term customer engagement and lifetime profit growth.
· Strong background in customer conversion, retention and win-back strategies.
· Deep understanding of segmentation and customer lifecycle.
· Expert knowledge working with CRM platforms (eg. Salesforce, Hubspot, etc), marketing automation software (eg Marketo, Pardot, etc) and lifecycle communication platforms (eg Segment, Braze, etc).
· Strong data-driven mentality with the ability to interpret data and identify actionable insights to inform engagement strategies.
· Hands-on marketer with experience juggling multiple projects and working cross-functionally in a fast-paced cross-functional environment with a great attention to detail.
· Thrives in a fast-paced environment with strong bias for action.
· Strong analytical skills to make data-driven decisions for commercial and operational performance.
Not a must but a great advantage:
· Good understanding of the payments industry and its current evolution across the world
· Small Business understanding and experience
#LI-PB1
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
About Payoneer
Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories.
By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence.
About the role:
We are seeking a visionary Senior Product Designer to join our global design team. This role will design end-to-end experiences within our payment products ecosystem, ensuring they are intuitive, innovative, delightful, and aligned with our customers’ needs.
What you’ll be spending your time on:
- Lead the design of complex financial technology products, ensuring they are user-friendly, effective, and aligned with business goals.
- Collaborate with cross-functional teams, including product management, engineering, business, and marketing, to create holistic design solutions.
- Lead all design related activities for a specific domain (Design sprints, workshops, brainstorming sessions, presentations, etc.)
- Conduct user research and usability studies to understand customer needs, pain points, and behaviors.
- Translate research findings into design decisions, creating wireframes, prototypes, and high-fidelity designs.
- Champion a user-centered design approach, advocating for the end-user in all design discussions.
- Work closely with the R&D team to ensure the final product meets visual standards when shipped to customers.
- Provide mentorship and guidance to junior designers, fostering a culture of excellence and continuous learning within the design team.
- Stay abreast of competitor experiences, industry trends, and emerging technologies in financial technology and design.
Have you done this kind of stuff?
- Bachelor’s or Master’s degree in Design, Human-Computer Interaction, or a related field.
- Minimum of 8 years of experience in product design (bonus points if in the financial technology sector).
- Strong portfolio demonstrating expertise in UX/UI design and a deep understanding of design principles.
- Proficiency in design tools such as Figma (preferred), Sketch, Adobe Creative Suite, and prototyping tools.
- Experience with user research methodologies and usability testing.
- Excellent collaboration and communication skills, with the ability to articulate design concepts clearly to both technical and non-technical stakeholders.
- Ability to work in a fast-paced environment and manage multiple projects simultaneously.
- Strong communication and presentation skills - written, verbal and visual (English).
- Basic technical understanding of web and mobile platforms.
Great to have:
- Strong commitment to advocating for and implementing Accessibility Guidelines and embracing Inclusive Design practices.
- Proficiency in complementary areas such as User Research, UX Writing, Prototyping, and Service Design, contributing to a holistic design approach.
- Demonstrated track record in successfully navigating rapid, iterative design and development processes, ensuring adaptability and responsiveness.
- Extensive experience tackling large-scale, complex, and ambiguous projects across multifunctional teams, showcasing an ability to thrive in challenging environments.
#LI-PG1
The Payoneer Ways of Working
Act as our customer’s partner on the inside
Learning what they need and creating what will help them go further.
Do it. Own it.
Being fearlessly accountable in everything we do.
Continuously improve
Always striving for a higher standard than our last.
Build each other up
Helping each other grow, as professionals and people.
If this sounds like a business, a community, and a mission you want to be part of, apply today.
We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.
Ready to apply?
Apply to Payoneer
At Leapwork, we are at the center of the most important shift happening in enterprise software right now, with AI changing how software is built across every industry and every enterprise. We sit at this intersection, and what makes us different is the combination no one else brings: agentic, application agnostic, and deterministic by design across the full software delivery lifecycle.
We are trusted by some of the world's most respected brands across financial services, pharma, manufacturing, and retail. Our platform spans agentic AI orchestration and proven visual automation across every application estate. Our AI Your Way™ approach means we amplify what enterprises already have rather than replacing it, meeting them where they are and moving at the pace the business demands.
Backed by KKR, DN Capital, Salesforce Ventures, and Headline, we are scaling fast and the market opportunity in front of us is significant.
If you want to do the best work of your career at a company where the product is genuinely mission critical to our customers, we would love to talk. We are headquartered in Copenhagen, Denmark with offices in Boston, London, and Gurgaon and local presence across the United States, Europe, and Asia.
The Role:
At Leapwork, we are building the next generation of AI-powered product platforms that help organizations continuously validate and automate their systems.
We believe that modern software is built not only through strong engineering but also through active developer communities and open collaboration. Our engineers are encouraged to experiment, build in the open, contribute to the broader ecosystem, and help shape how automation and AI-driven systems evolve.
As a Sr. Software Engineer, you will work in a fast-paced, team-oriented environment using Agile methodologies. You enjoy solving real customer problems and are comfortable working across the product stack to build meaningful product capabilities.
You understand the “why” behind features and approach development as a way to solve business and user problems rather than simply implementing specifications.
You take ownership of work end-to-end — from understanding the problem, designing the solution, building and validating it, to improving it based on real usage. You are comfortable navigating ambiguity and turning ideas into working product capabilities.
You are excited about the shift toward AI-assisted and AI-driven software development, and you actively leverage AI tools and agents in your development workflow to accelerate experimentation and delivery while maintaining high engineering standards.
Beyond writing code, you believe that strong products are built with strong developer communities around them. You enjoy sharing knowledge, contributing to technical discussions, and helping others learn from what you build.
You actively participate in developer ecosystems, whether through GitHub contributions, open-source collaboration, writing technical blogs, sharing demos, or participating in technical communities. You are comfortable acting as a technical ambassador for the product, helping build awareness and trust within the developer community.
You may have strong technical opinions, but you are never religious about tools or frameworks. You value collaboration, learning from others, and contributing to a culture of continuous improvement.
Most importantly, you enjoy building products that people actually use, and you are motivated by solving meaningful problems rather than simply completing tasks.
Role Responsibilities:
- Build backend services and APIs using Node.js and TypeScript
- Work closely with product teams to rapidly prototype and develop new product capabilities
- Build or integrate AI-driven product features, including systems powered by AI agents
- Leverage AI tools and modern development workflows to accelerate product development
- Help improve the product by incorporating feedback from users and internal teams
- Contribute to the ongoing optimization of internal methods, processes, and systems
- Active participation in technical demos, developer discussions, and community engagement activities to help communicate product capabilities
- Support knowledge sharing through technical walkthroughs, blog posts, or community interactions
Role Requirements:
- 6+ years of development experience building production software products
- Strong experience with Node.js and TypeScript
- Experience building backend services and APIs
- Hands-on experience building or experimenting with AI-powered product capabilities
- Experience designing or integrating AI agents or agentic workflows within product features
- Experience working with LLM APIs or AI services
- Active participation in developer communities, technical forums, or knowledge-sharing platforms
- Experience contributing to open-source projects or maintaining GitHub repositories (personal or professional)
- Comfortable sharing technical knowledge through GitHub projects, blogs, demos, or community discussions
- Strong understanding of JavaScript / TypeScript fundamentals
- Strong understanding of object-oriented and modular programming
- Experience working with asynchronous programming and event-driven systems
- Experience with Git and modern development workflows
- Understanding of cloud-native architectures
- Understanding of Vector databases and scalable data models
Desirable Skills
- Experience building systems where AI agents interact with APIs, workflows, or automation pipelines
- Familiarity with AI-assisted development tools such as Copilot or similar tools
- Experience working with SaaS platforms
- Familiarity with Agile (Scrum) methodology
- Deep Interest in rapid prototyping and experimentation
- Interest in contributing to developer communities, technical content, or product demonstrations
- Strong curiosity about AI-native product development
Why Leapwork?
We are on an exciting global growth journey, and this is your chance to jump on board and contribute to digital transformation initiatives at Leapwork. You’ll work alongside and learn from a talented and passionate team committed to both innovation and excellence.
By joining our team, you’ll be part of an international environment where you can grow, challenge yourself, and do what inspires you. We work hard but have fun while doing it.
Leapwork Principles:
Our three core principles capture the essence of what it means to be part of our world-class team! They are integral to how we approach our work and one another, and they serve as a roadmap to our continued growth, development, achievements, and success.
People First: Strong relationships with our customers, partners, and team are the foundation of our success. We win by listening, understanding, and offering empathy and respect to everyone we engage with. We are human and act humane.
Grow or Die: Standing still is not an option. We adapt to change and drive it forward. We challenge ourselves and others to keep learning, share ideas, and find new ways to grow the business.
Speed Matters: We act with intent and urgency. We cut complexity, seize opportunities, and deliver results fast.
Ready to apply?
Apply to LeapworkManager, Enterprise Sales
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Razorpay is one of India’s leading full-stack financial technology companies, powering the way businesses move, manage, and grow money. Founded in 2014 by Harshil Mathur and Shashank Kumar with a simple vision - to simplify payments for Indian businesses - we’ve since grown into a fintech powerhouse driving India’s digital payment revolution.
Razorpay powers millions of businesses with a smarter, scalable stack that goes beyond transactions to help them truly build and grow.
From building AI-native agentic payments, to AI-assisted fraud detection and real-time risk intelligence to automated reconciliation, smart payouts, and predictive financial insights, we are embedding intelligence across our stack to make money movement faster, safer, and more efficient. In close collaboration with ecosystem partners - including banks, networks, regulators - we are pioneering industry-first solutions that are shaping the next era of fintech
Across India, Singapore and Malaysia, our products span everything from seamless checkouts to payroll automation - powering a fintech ecosystem that’s redefining how money moves across Asia.
Today, that ecosystem supports everyone from early-stage startups to some of India’s largest enterprises, enabling them to accept, process, and disburse payments at scale while expanding into new ways of managing money more efficiently.
Our scale speaks volumes: Razorpay processes $180+ billion in annualized transactions, powering leading businesses like Airbnb, Facebook, WhatsApp, Airtel, CRED, BookmyShow, Zomato, Swiggy, Lenskart, Mirae Asset Capital markets, Indian Oil, National Pension Scheme - and over 100 of India’s unicorns. With strong roots in India and growing operations in Southeast Asia, we are shaping the next chapter of financial technology across the region.
We are backed by global investors including GIC, Peak XV Partners (formerly Sequoia Capital India & SEA), Tiger Global, Ribbit Capital, Matrix Partners, MasterCard, and Salesforce Ventures, having raised over $740 million to date. Strategic acquisitions - including Ezetap (POS and offline payments), Curlec (Malaysia expansion), BillMe (digital invoicing), and POP (rewards-first UPI) - along with earlier moves in fraud prevention, payroll, and lending, have further strengthened our platform and widened our footprint across Asia.
But what truly sets Razorpay apart is our culture. At Razorpay, ownership is our oxygen - you own what you build, with no micromanagement or red tape, just the runway to make your ideas fly. Learning is a lifestyle - if you’re curious, you’ll feel at home here. People > Pedigree - we hire for attitude, hustle, and hunger more than degrees. Transparency thrives over titles - this is where interns question CXOs and CXOs say “thank you.” Guided by our values of Customer First, Autonomy & Ownership, Agility with Integrity, Transparency, Challenging the status quo and a strong belief that Razorpay grows with Razors, you’ll be part of a 3000+ strong team building not just products, but the financial infrastructure of the future.
About the Role
The Senior Associate, Magic Checkout Sales exists to drive the adoption and revenue growth of Razorpay’s 1-click checkout solution among Direct-to-Consumer (D2C) brands and e-commerce merchants. This role solves the critical business problem of reducing cart abandonment, optimising Return to Origin (RTO) rates, and enhancing the overall shopper experience for our merchants. Positioned as a high-performing individual contributor within the Strategic Product Sales team, you will own the end-to-end sales lifecycle and act as a consultative partner, aligning Razorpay’s checkout innovations with the merchant's growth and conversion goals.
Roles & Responsibilities
- Execute the end-to-end sales lifecycle for Razorpay’s Magic Checkout, from lead generation and product pitching to commercial negotiation and closure, driving predictable revenue growth.
- Deliver compelling product demonstrations to founders, CXOs, and e-commerce heads, clearly articulating the ROI of 1-click checkout, RTO reduction, and conversion rate optimisation.
- Analyse merchant funnel data and e-commerce metrics to build customised business cases that showcase the precise value and conversion uplift Magic Checkout delivers.
- Orchestrate cross-functional collaboration with Product, Integration, and Marketing teams to ensure seamless merchant onboarding and customised platform implementations (e.g., Shopify, WooCommerce, custom stacks).
- Maintain rigorous CRM hygiene and pipeline forecasting accuracy to ensure transparent reporting of sales performance against allocated quotas.
- Synthesise market intelligence, competitor insights, and merchant feedback to drive continuous improvement in go-to-market strategies and future product enhancements.
Mandatory Qualifications
Skills
- Exceptional B2B/D2C sales acumen, stakeholder influence, and commercial negotiation capabilities.
- Deep understanding of the e-commerce ecosystem, conversion rate optimisation (CRO), and payment gateways.
- Strong analytical mindset with the ability to dissect checkout funnel metrics and build data-driven sales pitches.
Experience
- 5-8 years of proven experience in B2B SaaS, E-commerce enablement, or Fintech sales.
- Demonstrated track record of consistently meeting or exceeding revenue targets as an individual contributor in a high-velocity sales environment.
Tools
- Proficiency in CRM platforms (e.g., Salesforce) and modern sales prospecting tools (e.g., LinkedIn Sales Navigator).
AI & Digital Competency
- Demonstrated ability to leverage AI-driven sales intelligence tools (e.g., automated prospecting, predictive pipeline analytics, and conversational AI) to optimize the sales funnel, personalise merchant outreach, and enhance overall operational productivity.
Ready to apply?
Apply to Razorpay Software Private Limited
Data Analyst - Advanced Analytics
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ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London and Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is to inform actionable recommendations that allow companies to achieve their business objectives.
ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London and Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is to inform actionable recommendations that allow companies to achieve their business objectives.
ClearView’s Data & Analytics practice is looking for motivated individuals to join our team as Data Analysts to accelerate the continued growth of our capabilities. Members of the data team work closely with the consulting staff and senior leadership to solve complex and unique problems in the life sciences. The data analysts will leverage common tools (i.e., SAS, SQL, R, and Python), large data sets, and creativity to build models and processes to support ClearView’s clients.
Responsibilities:
As a Data Analyst, you will interact with internal and external teams to address critical strategic questions within the biopharmaceutical space. During the course of a typical project, you will:
- Collect, clean, mine, and analyze data.
- Serve as a knowledge resource for the consulting staff regarding statistics, machine learning, and life sciences data.
- Design and create advanced models to drive analytically driven strategy projects.
- Innovate project approaches and identify new life sciences problems to solve with analytics.
- Aid in team building by making code scalable through templates, macros, or interfaces.
- Clearly communicate analytical techniques and findings from analyses in a non-technical manner.
- Work in a high-performance, strongly collegial, and collaborative environment.
Requirements
The successful candidate for the Data Analyst role must have the following skills and experience:
- Bachelor’s degree or above in Statistics, Mathematics, Machine Learning, Physics, or a related field.
- Relevant experience of 1-3 years working on insurance claims and EHR databases – IQVIA (LAAD), Komodo (Sentinel), Forian, Compile and others.
- Experience with large data manipulation in SAS or SQL interfaces.
- Experience with life science APIs & public datasets (e.g., PubMed, OpenTrials, CMS, CDC, etc.).
- Experience in at least one of the following areas:
- Excel modeling (using a spreadsheet to make quantitative predictions based on a series of underlying assumptions).
- Common machine learning models (e.g., neural networks, support vector machines, decision trees).
- Advanced regression models (e.g., Bayesian, hierarchical, non-linear).
- Unsupervised learning.
- Advanced time series.
- Detail-oriented with the ability to dive deep into business processes, data, and analytics.
- Independent, creative, and driven quantitative thinker.
- Role is based out of our Gurgaon, India office.
What We Value
We recognize that not every candidate will meet every qualification listed. If you’re excited about this role and believe you have relevant experience or transferable skills, we encourage you to apply. We value curiosity, a growth mindset, and a commitment to collaboration.
Equal Opportunity Employer
ClearView Healthcare Partners ("CV") is an Equal Opportunity employer. All qualified applicants will be considered for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
Ready to apply?
Apply to ClearView Healthcare Partners
At Leapwork, we are at the center of the most important shift happening in enterprise software right now, with AI changing how software is built across every industry and every enterprise. We sit at this intersection, and what makes us different is the combination no one else brings: agentic, application agnostic, and deterministic by design across the full software delivery lifecycle.
We are trusted by some of the world's most respected brands across financial services, pharma, manufacturing, and retail. Our platform spans agentic AI orchestration and proven visual automation across every application estate. Our AI Your Way™ approach means we amplify what enterprises already have rather than replacing it, meeting them where they are and moving at the pace the business demands.
Backed by KKR, DN Capital, Salesforce Ventures, and Headline, we are scaling fast and the market opportunity in front of us is significant.
If you want to do the best work of your career at a company where the product is genuinely mission critical to our customers, we would love to talk. We are headquartered in Copenhagen, Denmark with offices in Boston, London, and Gurgaon and local presence across the United States, Europe, and Asia.
Who are we looking for?
As an Associate Automation Architect, you will have a big impact on the growth of the company because of the significant role you play in ensuring the successful adoption of Leapwork by our customers.
Your primary objectives will be to work with our Enterprise customers and help them in automation strategy, Implementation, troubleshooting, best practices, adoption of Leapwork, and as a mentor for them using your deep technical knowledge and understanding of our product.
Since Leapwork is a fast-growing company in a high-growth market space, you will be expected to be very flexible and perform a wide variety of tasks.
The Role:
As an Associate test automation architect, you will be responsible for
- Understand customer's requirements and purpose the best possible automation solutions to our customers
- Perform test automation requirement analysis, test strategy design, automation estimation, and planning prioritization, execution, automation monitoring, and control
- Collaborate with different teams to assure architectural solutions could be suitably translated into effectual and robust implementation
- Reviewing customer's automated test scripts, providing guidance to customers in implementing best practices, and fixing design/script issues
- Design and develop proofs-of-concept, demo to customers, and provide the architectural guidance to the end customers
- Assist pre-sales and sales in their client conversations in order to ensure maximum conversions and high-quality dialogue
- Provide test automation effort estimation to our sales team and create customer implementation plans based on customer prioritization
- Assist customer success team to ensure product value creation by technically involved with assigned customers throughout their customer life cycle
- Help customers in onboarding, adoption, and scaling, and getting success with the product
- Troubleshoot complex automation issues with customers and resolve them under agreed SLA
- Create a knowledge base, training materials, and provide community support to leads and customers
- Ensure that customer feedback is incorporated in Leapwork
- Engage with clients in both technical pre-and post-sales activities to ensure LEAPWORK adoption, here are the type of engagements:
- Implementation (Remote, when possible and On-Site, when not) - these are short/long term implementations you need to get involved time to time may be a few projects at a time remotely
- Tech Advisory Services - “Short term implementation support” assistance calls in which we provide our view on necessary “How-To” questions
- Health Checks - Should be formed as a checklist to be analyzed and filled in, should cover the areas of test (definitions, docs), flow(Top Level design review), Infrastructure, Maintainability (a maintainability qualifier should be defined) and the result will be presented as a professional document detailing current status and recommendations. Most probably an on-site activity.
- Flow Reviews - this is a detailed flow review as a service aiming to check Best Practices compliance and coverage
- Workshops - Roadmap presentations, Best Practices presentations, presentation in user groups, expo
- Upgrade Readiness - Analysis of an existing system to prepare a LEAPWORK upgrade
Technical Qualifications/ Role Requirements (Must - Have Skills):
- Minimum 8+ years of proven, relevant Automation Experience.
- Understanding of Enterprise Architecture and IT systems and value-based selling
- Working Knowledge on Automation Frameworks, test automation strategy, automation effort estimation, and test automation prioritization
- Excellent Leadership and convincing skills, ability to lead a small team from time to time
- Working Knowledge of automation tools such as Selenium Web Driver/VSTS/UFT/Any RPA tools etc.
- Knowledge of at least one programming knowledge like C#/Java/Python
- Should possess good presentation and excellent communication skills
- Be experienced with agile, DevOps processes, source control, database, and CI/CD implementation
- Having knowledge of tools such as Jira, Jenkins, Team City, Azure, etc. is a plus.
- Enjoy working in a fast-paced, global environment
- Bachelor's degree in Engineering or equivalent preferred.
- Comfortable with both national and international travel -Willingness to travel 50-70%
Why Leapwork?
We are on an exciting global growth journey, and this is your chance to jump on board and contribute to digital transformation initiatives at Leapwork. You’ll work alongside and learn from a talented and passionate team committed to both innovation and excellence.
By joining our team, you’ll be part of an international environment where you can grow, challenge yourself, and do what inspires you. We work hard but have fun while doing it.
Leapwork Principles:
Our three core principles capture the essence of what it means to be part of our world-class team! They are integral to how we approach our work and one another, and they serve as a roadmap to our continued growth, development, achievements, and success.
People First: Strong relationships with our customers, partners, and team are the foundation of our success. We win by listening, understanding, and offering empathy and respect to everyone we engage with. We are human and act humane.
Grow or Die: Standing still is not an option. We adapt to change and drive it forward. We challenge ourselves and others to keep learning, share ideas, and find new ways to grow the business.
Speed Matters: We act with intent and urgency. We cut complexity, seize opportunities, and deliver results fast.
Ready to apply?
Apply to LeapworkAt Leapwork, we are at the center of the most important shift happening in enterprise software right now, with AI changing how software is built across every industry and every enterprise. We sit at this intersection, and what makes us different is the combination no one else brings: agentic, application agnostic, and deterministic by design across the full software delivery lifecycle.
We are trusted by some of the world's most respected brands across financial services, pharma, manufacturing, and retail. Our platform spans agentic AI orchestration and proven visual automation across every application estate. Our AI Your Way™ approach means we amplify what enterprises already have rather than replacing it, meeting them where they are and moving at the pace the business demands.
Backed by KKR, DN Capital, Salesforce Ventures, and Headline, we are scaling fast and the market opportunity in front of us is significant.
If you want to do the best work of your career at a company where the product is genuinely mission critical to our customers, we would love to talk. We are headquartered in Copenhagen, Denmark with offices in Boston, London, and Gurgaon and local presence across the United States, Europe, and Asia.
The Role:
As an Associate Automation Architect, you will have a big impact on the growth of the company because of the significant role you play in ensuring the successful adoption of Leapwork by our customers.
Your primary objectives will be to work with our Enterprise customers and help them in automation strategy, Implementation, troubleshooting, best practices, adoption of Leapwork, and as a mentor for them using your deep technical knowledge and understanding of our product.
Since Leapwork is a fast-growing company in a high-growth market space, you will be expected to be very flexible and perform a wide variety of tasks.
Role Responsibilities:
As an Associate test automation architect, you will be responsible for
- Understand customer's requirements and purpose the best possible automation solutions to our customers
- Perform test automation requirement analysis, test strategy design, automation estimation, and planning prioritization, execution, automation monitoring, and control
- Collaborate with different teams to assure architectural solutions could be suitably translated into effectual and robust implementation
- Reviewing customer's automated test scripts, providing guidance to customers in implementing best practices, and fixing design/script issues
- Design and develop proofs-of-concept, demo to customers, and provide the architectural guidance to the end customers
- Assist pre-sales and sales in their client conversations in order to ensure maximum conversions and high-quality dialogue
- Provide test automation effort estimation to our sales team and create customer implementation plans based on customer prioritization
- Assist customer success team to ensure product value creation by technically involved with assigned customers throughout their customer life cycle
- Help customers in onboarding, adoption, and scaling, and getting success with the product
- Troubleshoot complex automation issues with customers and resolve them under agreed SLA
- Create a knowledge base, training materials, and provide community support to leads and customers
- Ensure that customer feedback is incorporated in Leapwork
- Engage with clients in both technical pre-and post-sales activities to ensure LEAPWORK adoption, here are the type of engagements:
- Implementation (Remote, when possible and On-Site, when not) - these are short/long term implementations you need to get involved time to time may be a few projects at a time remotely
- Tech Advisory Services - “Short term implementation support” assistance calls in which we provide our view on necessary “How-To” questions
- Health Checks - Should be formed as a checklist to be analyzed and filled in, should cover the areas of test (definitions, docs), flow(Top Level design review), Infrastructure, Maintainability (a maintainability qualifier should be defined) and the result will be presented as a professional document detailing current status and recommendations. Most probably an on-site activity.
- Flow Reviews - this is a detailed flow review as a service aiming to check Best Practices compliance and coverage
- Workshops - Roadmap presentations, Best Practices presentations, presentation in user groups, expo
- Upgrade Readiness - Analysis of an existing system to prepare a LEAPWORK upgrade
Technical Qualifications/ Role Requirements (Must - Have Skills):
- Minimum 8+ years of proven, relevant Automation Experience.
- Understanding of Enterprise Architecture and IT systems and value-based selling
- Working Knowledge on Automation Frameworks, test automation strategy, automation effort estimation, and test automation prioritization
- Excellent Leadership and convincing skills, ability to lead a small team from time to time
- Working Knowledge of automation tools such as Selenium Web Driver/VSTS/UFT/Any RPA tools etc.
- Knowledge of at least one programming knowledge like C#/Java/Python
- Should possess good presentation and excellent communication skills
- Be experienced with agile, DevOps processes, source control, database, and CI/CD implementation
- Having knowledge of tools such as Jira, Jenkins, Team City, Azure, etc. is a plus.
- Enjoy working in a fast-paced, global environment
- Bachelor's degree in Engineering or equivalent preferred.
- Comfortable with both national and international travel -Willingness to travel 50-70%
Why Leapwork?
We are on an exciting global growth journey, and this is your chance to jump on board and contribute to digital transformation initiatives at Leapwork. You’ll work alongside and learn from a talented and passionate team committed to both innovation and excellence.
By joining our team, you’ll be part of an international environment where you can grow, challenge yourself, and do what inspires you. We work hard but have fun while doing it.
Leapwork Principles:
Our three core principles capture the essence of what it means to be part of our world-class team! They are integral to how we approach our work and one another, and they serve as a roadmap to our continued growth, development, achievements, and success.
People First: Strong relationships with our customers, partners, and team are the foundation of our success. We win by listening, understanding, and offering empathy and respect to everyone we engage with. We are human and act humane.
Grow or Die: Standing still is not an option. We adapt to change and drive it forward. We challenge ourselves and others to keep learning, share ideas, and find new ways to grow the business.
Speed Matters: We act with intent and urgency. We cut complexity, seize opportunities, and deliver results fast.
Ready to apply?
Apply to Leapworkdunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
Tesco Media & Insight Platform is a partnership between Tesco, the UK’s largest grocery retailer, and dunnhumby. Fueled by first‑party behavioral data from over 23 million Clubcard holders, we help brands understand consumer behaviors and reach the right customers, at the right time, with the right message across the full marketing funnel. Our closed‑loop measurement connects what customers see with what they buy, helping brands Shape What Britain Buys and maximize the impact of every pound of media investment.
Roles and Responsibilities
As a Senior AI Engineer, you will be a hands‑on technical contributor designing, building and operating production‑grade GenAI and agentic AI solutions that power Tesco Media & Insight Platform’s global products and services. You will work closely with the AI Engineering Manager, Product, Data Science and Engineering teams to turn business problems into secure, scalable, observable AI systems that deliver measurable value for brands and shoppers.
- Design and implement GenAI and agentic AI solutions on GCP, leveraging Vertex AI (models, endpoints, pipelines, vector search/RAG, Agent Builder) and core GCP services.
- Build AI agents and multi‑step agentic workflows, including tool calling, orchestration, and integrations with internal and external systems.
- Contribute to the design of MCP servers and agent‑to‑agent / agent‑to‑application protocols to enable safe, reliable automation of retail media and insight use cases.
- Work with the AI Engineering Manager and architects to define solution designs, interface contracts and non‑functional requirements (security, reliability, performance, cost).
- Implement security, privacy and governance controls in AI solutions, including safe prompt and tool design, data protection, secrets management and access control.
- Apply DevOps/MLOps practices: contribute to CI/CD pipelines for models, prompts and agents; use infrastructure as code; support environment management and automated testing.
- Implement observability for AI systems: instrument prompts, model calls, tools and agents with tracing, metrics and logs; build and maintain dashboards and alerts.
- Help define and run AI testing and evaluation strategies, including automated tests, offline and online evaluation, red‑teaming, regression suites and human‑in‑the‑loop review flows.
- Collaborate with Retail Media and Insight teams to understand use cases and data, and translate requirements into concrete AI components and services.
- Write high‑quality, well‑tested code in Python (and, where relevant, TypeScript/Java or similar) following team standards for readability, performance and reliability.
- Participate in code reviews, design reviews and incident post‑mortems, and contribute to continuous improvement of our AI engineering practices.
- Stay current on advances in LLMs, agentic frameworks and cloud AI services, and bring forward ideas for how they can be applied to Tesco Media & Insight Platform.
What you’ll need to succeed in the role
- Strong experience in software/data/ML engineering, with hands‑on delivery of AI/ML or LLM‑based solutions into production (not just prototypes).
- Practical experience on GCP and Vertex AI, including deploying models, building pipelines, and implementing RAG/vector search‑based solutions.
- Solid understanding of LLMs and foundation models: transformers at a high level, tokenization, embeddings, context windows, RAG, and the trade‑offs between fine‑tuning, adapters and prompt‑based approaches.
- Hands‑on experience building agentic workflows or AI agents (e.g. tool‑augmented chat, multi‑step workflows, or multi‑agent systems) using one or more modern frameworks or platforms.
- Good grasp of security and safety for AI systems, including prompt and tool design to reduce hallucinations and prompt injection, safe handling of sensitive data, and application‑level guardrails.
- Experience with DevOps/MLOps practices: CI/CD, version control, automated testing, infrastructure as code, monitoring and incident handling in a cloud environment.
- Strong programming skills in Python and experience building and consuming APIs; familiarity with microservices and event‑driven architectures is a plus.
- Ability to design and run evaluation and experimentation for AI features, including quantitative and qualitative measures and, where appropriate, human‑in‑the‑loop review.
- Strong problem‑solving skills, attention to detail, and a willingness to take ownership of complex technical challenges.
- Clear, proactive communication and the ability to collaborate effectively with product managers, data scientists, engineers and commercial stakeholders across locations.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
Job Title: Python Developer
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:
-
About the Role
In this role, you will have the opportunity to work on complex and challenging projects that have a direct impact on our business. You will collaborate with stakeholders across the organisation to identify business needs and develop technical solutions that drive results. Your expertise in fullstack development, data science, and financial markets will enable you to make a significant contribution to our team and help drive business success.
Key Responsibilities
- Develop and implement fullstack applications that automate and streamline processes, improving efficiency and reducing risk.
- Develop and Manage backend systems primarily using Python, with additional capabilities in Java and other languages.
- Develop and manage frontend applications primarily using React and Next.js, with additional capabilities in JavaScript and other frameworks.
- Design and implement core backend services and systems to serve other applications using high performance programming languages such as java.
- Demonstrate a strong ability to understand and apply software architecture patterns, including microservices and event-driven architecture, to design robust and scalable solutions.
- Work closely with cross-functional teams to design and implement solutions that meet business requirements and goals.
- Communicate complex technical concepts to non-technical stakeholders, including business leaders and external partners.
- Rapid response to issues as they arise, with the ability to drive quickly to the heart of an issue and propose appropriate solutions.
- Manage work and processes across multiple sites.
- Maintain discipline in coding practice while ensuring timely delivery of end solutions.
Technical Expertise
- Proficiency in Python is required, with familiarity in other programming languages such as Java, C++, Go, Rust, and others being advantageous.
- Strong understanding of software architecture patterns, including microservices and event-driven architecture.
- Familiarity with containerisation using Docker, and experience with container orchestration tools such as Kubernetes.
- Strong understanding of software development lifecycle methodologies and experience with DevOps and CI/CD pipelines.
- Experience with frontend technologies, including React and Next.js, and JavaScript.
- Familiarity with data science and analytics techniques, including machine learning and statistical modelling.
- Experience with database management systems, including relational and NoSQL databases.
- Experience with Dash or other UI frameworks is a nice to have.
Ready to apply?
Apply to CapcoAbout Teads
Teads is a leading omnichannel advertising platform focused on driving outcomes for brand and performance advertisers across screens. With a focus on meaningful business outcomes for branding and performance objectives, Teads drives value by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, New York with a global team of around 1,700 people in 30+ countries.
For more information, visit www.teads.com.
About the opportunity
Senior Account Receivable & Collections Analyst who plays a pivotal, strategic lead role in the financial operations of the company by managing and optimizing the accounts receivable process with a high-energy, "front-desk" approach. This role manages a continuous flow of customer queries, DIY billing emails, and complex collection challenges on a global portfolio while acting as a functional lead on AR systems (such as NetSuite, SAP, or Salesforce) to drive process enhancements and data integrity. To provide sharp, timely internal reports and analysis on debtor balances, cash collections, and bad debts while maintaining professional and energetic contact with customers.
A day in the life
- Arrive with a live view of global portfolio aging to identify exactly where pressure points are before the first call of the day.
- Contact customers (agencies, Enterprise, and brand clients) by telephone and email to move collections forward on high-risk accounts.
- Maintain positive relationships with our customers by providing excellent, responsive service.
- Maintain meticulous notes on follow-up and contact within ERP and CRM systems so nothing falls through overnight.
- Handle a non-stop flow of cases, DIY billing queries, and financial requests via a shared inbox and Salesforce with high operational resilience.
- Send monthly statements to customers and resolve discrepancies immediately upon receipt.
- Reduce DSO (Days Sales Outstanding), improve CEI (Collection Effectiveness Index), and minimize bad debt expense of the assigned global portfolio.
- Identify systemic billing or operational issues impacting cash flow and proactively lead cross-functional resolution efforts.
- Act as a key contributor in cash forecasting by providing accurate short- and long-term collection projections based on portfolio trends.
- Communicate real-time account status, risks, and next actions proactively to Sales and Account Managers.
- Oversee daily cash applications in ERP systems and lead investigations into complex unallocated/unapplied cash receipts.
- Issue reminder and legal notices to customers based on the Credit Control policy.
- Collaborate with Internal Sales, AMs, Finance, Legal, and billing teams with an "on-your-toes" urgency to resolve discrepancies and unblock revenue.
- Monitor and report on potential bad debts and portfolio health with a sharp, numerical eye.
- Strengthen internal controls and compliance around AR processes, ensuring audit readiness and policy adherence.
- Determine when accounts should be sent to outside collection agencies when all internal strategic efforts have been exhausted.
- Generate sophisticated monthly and ad-hoc reporting metrics on the performance of the portfolio.
- Lead the setting of credit limits for new and existing customers.
- Manage credit card workflows end-to-end, including charges, refunds, and formally challenging invalid chargebacks with supporting evidence.
- Actively leverage Enterprise AI platforms (Gemini, ChatGPT, Claude, etc.) to drive process optimization, build automations, and streamline collection workflows.
What you’ll bring
- Minimum 10–12 years’ experience in an Accounts Receivable / Collections role.
- Ability to adjust priorities instantly under pressure to meet non-stop deadlines.
- High stamina and flexibility within a constantly changing, high-volume environment.
- Elite interpersonal and diplomatic negotiation skills.
- Excellent verbal and written communication skills suitable for senior stakeholders.
- Ability to cooperate and lead collaboration effectively with team members.
- Proven track record of reducing DSO and improving cash collections.
- Sharp, proactive attitude – the ability to take immediate initiative to get things done.
- Expert Microsoft Excel (Power Query/Pivot) and IT skills with an exceptional eye for numbers.
- Highly motivated with a continuous eye for process improvement and automation.
- Deep expertise in managing global portfolios across multiple currencies and international markets.
- Deep expertise in Tier-1 ERP and CRM ecosystems (e.g., SAP, NetSuite, Salesforce) with the ability to drive system-related projects.
- AI-savvy and curious about technology; comfort using Enterprise AI tools to automate repetitive tasks.
- Experience of working with advertising/marketing agencies is highly preferred
Life at Teads
At Teads, we don’t just offer new roles - we blend creativity, technology, and data to shape the future of media. You’ll work with smart humans, meaningful brands, and cool tools, all while helping redefine how advertising works in a world that demands more transparency, better insights, and smarter strategies.
As a Teadster, you’ll play a critical role in shaping our future success in the region. Here’s why Teads stands out:
- We've merged two open internet category leaders—Outbrain and Teads—to create the ‘new’ Teads, a unified omnichannel platform that drives results from branding to performance across all screens, including CTV, mobile, and web.
- As part of our team, you’ll thrive in a collaborative and forward-thinking environment that fosters innovation, creative problem-solving, and continuous learning.
- Teads is committed to your success, offering the support, tools, and development opportunities you need to excel in your role.
Our company culture is welcoming, dynamic, diverse, global, and built on top performance.
Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment.
Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging through our Employee Resource Groups – employee-led groups in which we debate topics and drive change: environmental, women empowerment, charitable initiatives to diversity, equity, and inclusion, you’ll be able to share your passions with likeminded people.
Ready to apply?
Apply to Teads
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We are looking for an Instructional Designer to support the design, development, and delivery of learning solutions that help our colleagues and our clients build capability.
The role will support the wider L&D team across learning design, content development, learning technology, and learning operations, working closely with subject-matter experts and stakeholders.
Key Responsibilities
- Apply learning models, frameworks, and technologies to design effective, high-quality learning experiences
- Create learning solutions for web-based learning, instructor-led and virtual workshops
- Support the development of AI-enabled learning experiences, including chatbots
- Support learning operations and coordination activities
Experience & Skills
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2–5 years of experience designing and developing e-learning content using tools such as Articulate 360
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Basic understanding of Adobe Illustrator and photoshop required
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Proven ability to apply learning frameworks such as ADDIE and Kirkpatrick to structure effective learning experiences.
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Hands-on experience working with LMS, LXP, and other web-based learning platforms.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
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Apply to dunnhumby
Senior Data Analyst (Operations Analytics)
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WHO WE ARE:
Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.
WHO YOU ARE:
We are seeking a highly motivated Senior Data Analyst with strong technical expertise, business acumen, and strategic problem-solving abilities. In this role, you will independently own and drive analytics initiatives within the Operations team, translating data into actionable insights that improve efficiency, decision-making, and key business KPIs.
You will work closely with stakeholders across Operations, Product, Data Engineering, and Business Strategy to identify opportunities for process optimization, automate decision-making, and create scalable analytics frameworks. This is a high-impact individual contributor role that requires both deep analytical skills and the ability to influence business strategy through data.
WHAT YOU’LL DO:
- Drive analytics strategy: Independently own and drive key analytics initiatives in Operations, proactively identifying areas for efficiency improvements and cost optimization.
- Advanced analytics & measurement: Move beyond basic dashboards and leverage inferential modeling, causal analysis, and experimental design to generate actionable insights.
- Experimentation & testing: Design and implement A/B tests to measure the impact of operational improvements, optimizing key processes such as fraud detection, customer interactions, and compliance.
- Operational KPIs & business impact: Develop frameworks to measure Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other key operational metrics, ensuring data-driven decision-making.
- Data storytelling & visualization: Translate complex data insights into clear, actionable recommendations using visual storytelling techniques in Power BI and other visualization tools.
- Cross-functional collaboration: Work closely with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs.
- Scalability & automation: Partner with Data Engineering to enhance data pipelines, data models, and automation efforts that improve efficiency and reduce manual work.
- Thought leadership & best practices: Drive data analysis best practices and mentor junior analysts, fostering a culture of analytical rigor and excellence.
WHAT YOU’LL NEED:
- 5+ years of experience in data analytics, with a focus on Operations, Business Strategy, or Process Optimization.
- Expertise in SQL, Python and with a strong ability to work with relational cloud databases (Redshift, BigQuery, Snowflake) and unstructured datasets.
- Experience designing A/B tests and experimentation frameworks to drive operational improvements.
- Strong statistical knowledge, including regression analysis, time-series forecasting, and causal inference modeling.
- Experience in operations analytics such as workforce efficiency, process optimization, risk modeling, and compliance analytics.
- Hands-on experience with data visualization tools (Power BI, Tableau, Looker) and the ability to present insights effectively to leadership.
- Ability to work independently, take ownership of projects, and influence business decisions through data-driven recommendations.
- Strong problem-solving skills and a proactive mindset to identify business opportunities using data
Bonus Points If You Have:
- Experience with ML/AI applications in operational efficiency (e.g., anomaly detection, predictive modeling, workforce automation).
- Familiarity with event-tracking frameworks and behavioral analytics.
- Strong data storytelling skills—can translate complex data into concise, compelling narratives.
- Prior experience in a fast-paced, high-growth environment with a focus on scaling data analytics.
WHAT’S IN IT FOR YOU?
At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.
#LI-RS1
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Apply to Zinnia - Employee Referral
Senior Data Analyst (Operations Analytics) - 6+ Yrs
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WHO WE ARE:
Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.
WHO YOU ARE:
We are seeking a highly motivated Senior Data Analyst with strong technical expertise, business acumen, and strategic problem-solving abilities. In this role, you will independently own and drive analytics initiatives within the Operations team, translating data into actionable insights that improve efficiency, decision-making, and key business KPIs.
You will work closely with stakeholders across Operations, Product, Data Engineering, and Business Strategy to identify opportunities for process optimization, automate decision-making, and create scalable analytics frameworks. This is a high-impact individual contributor role that requires both deep analytical skills and the ability to influence business strategy through data.
WHAT YOU’LL DO:
- Drive analytics strategy: Independently own and drive key analytics initiatives in Operations, proactively identifying areas for efficiency improvements and cost optimization.
- Advanced analytics & measurement: Move beyond basic dashboards and leverage inferential modeling, causal analysis, and experimental design to generate actionable insights.
- Experimentation & testing: Design and implement A/B tests to measure the impact of operational improvements, optimizing key processes such as fraud detection, customer interactions, and compliance.
- Operational KPIs & business impact: Develop frameworks to measure Turnaround Time (TAT), Cost Per Transaction, SLA adherence, and other key operational metrics, ensuring data-driven decision-making.
- Data storytelling & visualization: Translate complex data insights into clear, actionable recommendations using visual storytelling techniques in Power BI and other visualization tools.
- Cross-functional collaboration: Work closely with stakeholders across Operations, Data Engineering, and Product to align analytics initiatives with business needs.
- Scalability & automation: Partner with Data Engineering to enhance data pipelines, data models, and automation efforts that improve efficiency and reduce manual work.
- Thought leadership & best practices: Drive data analysis best practices and mentor junior analysts, fostering a culture of analytical rigor and excellence.
WHAT YOU’LL NEED:
- 6+ years of experience in data analytics, with a focus on Operations, Business Strategy, or Process Optimization.
- Expertise in SQL, Python and with a strong ability to work with relational cloud databases (Redshift, BigQuery, Snowflake) and unstructured datasets.
- Experience designing A/B tests and experimentation frameworks to drive operational improvements.
- Strong statistical knowledge, including regression analysis, time-series forecasting, and causal inference modeling.
- Experience in operations analytics such as workforce efficiency, process optimization, risk modeling, and compliance analytics.
- Hands-on experience with data visualization tools (Power BI, Tableau, Looker) and the ability to present insights effectively to leadership.
- Ability to work independently, take ownership of projects, and influence business decisions through data-driven recommendations.
- Strong problem-solving skills and a proactive mindset to identify business opportunities using data
Bonus Points If You Have:
- Experience with ML/AI applications in operational efficiency (e.g., anomaly detection, predictive modeling, workforce automation).
- Familiarity with event-tracking frameworks and behavioral analytics.
- Strong data storytelling skills—can translate complex data into concise, compelling narratives.
- Prior experience in a fast-paced, high-growth environment with a focus on scaling data analytics.
WHAT’S IN IT FOR YOU?
At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.
#LI-RS1
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Apply to Zinnia
At Leapwork, we are at the center of the most important shift happening in enterprise software right now, with AI changing how software is built across every industry and every enterprise. We sit at this intersection, and what makes us different is the combination no one else brings: agentic, application agnostic, and deterministic by design across the full software delivery lifecycle.
We are trusted by some of the world's most respected brands across financial services, pharma, manufacturing, and retail. Our platform spans agentic AI orchestration and proven visual automation across every application estate. Our AI Your Way™ approach means we amplify what enterprises already have rather than replacing it, meeting them where they are and moving at the pace the business demands.
Backed by KKR, DN Capital, Salesforce Ventures, and Headline, we are scaling fast and the market opportunity in front of us is significant.
If you want to do the best work of your career at a company where the product is genuinely mission critical to our customers, we would love to talk. We are headquartered in Copenhagen, Denmark with offices in Boston, London, and Gurgaon and local presence across the United States, Europe, and Asia.
The role:
As a Data Governance Lead at Leapwork, you’ll help establish and scale the foundation of how data fuels smarter decisions across the business. Our data team is building the data architecture to unify, transform, and connect information from many sources into a unified data view. You’ll play a key role in developing governance structures, standards, and processes from the ground up, helping to shape greenfield data initiatives that define Leapwork’s data-driven future. By turning complexity into clarity, you’ll enable the whole organization to execute with greater speed, precision, and impact. Join us on our journey to become a fully data-driven, AI-powered organization.
Role Responsibilities:
- Develop and Implement Frameworks: Design and deploy enterprise-wide data governance frameworks, policies, and best practices.
- Ensure Data Quality and Integrity: Establish processes and metrics to monitor and improve data quality, consistency, and accuracy.
- Maintain Data Security and Compliance: Oversee data security measures and ensure adherence to internal and external regulatory compliance standards.
- Manage Data Accessibility and Usability: Develop and maintain data catalogs and governance tools (e.g., Microsoft Fabric, Azure Purview) to enhance visibility, accessibility, and trust in enterprise data assets.
- Strategic Leadership: Provide leadership and strategic direction for the data governance program, aligning it with organizational goals and ensuring it supports new data architecture and analytics capabilities.
- Stakeholder Collaboration: Work closely with IT, business units, and legal teams to drive data governance adoption and ensure alignment.
- Risk Mitigation: Identify and address data-related risks, including those related to compliance and security.
- Data Stewardship: Foster a culture of data stewardship, where individuals understand their roles in managing and protecting data.
- Reporting and Metrics: Develop dashboards and reports to provide oversight and insight into key data governance activities and metrics.
Role Requirements:
- Experience: 2 - 5 years of experience from a similar role. Experience working in environments where data functions are being established or scaled from scratch is highly valued.
- Strategic Vision: The ability to develop a long-term vision for data governance within the organization.
- Operational Expertise: Strong understanding of data management principles and practices.
- Technical Acumen: A good understanding of technical aspects related to data systems, databases, and data models — familiarity with modern data platforms such as Microsoft Fabric, Azure, or Snowflake is an advantage.
- Analytical Skills: Proficiency in data analytics to interpret raw data and provide actionable insights.
- Data Governance Knowledge: Deep understanding of data quality, stewardship, and management principles.
- Documentation Skills: Proven ability to define and maintain data definitions, lineage, and standards
- Stakeholder Collaboration: Experience partnering with technical and business teams to uphold governance practices.
- Organizational Influence: Strong communication and coordination skills to drive adoption of governance frameworks.
- Leadership: Ability to inspire cross-functional teams to adopt and embed governance practices.
- Initiative: Hands-on and proactive in defining standards, tools, and workflows where none exist yet.
- Communication: Strong written and verbal communication skills to articulate governance concepts to both technical and non-technical audiences.
- Innovation Mindset: Eager to explore new tools and methodologies that enhance governance in modern, cloud-based data ecosystems.
Why Leapwork?
We are on an exciting global growth journey, and this is your chance to jump on board and contribute to digital transformation initiatives at Leapwork. You’ll work alongside and learn from a talented and passionate team committed to both innovation and excellence.
By joining our team, you’ll be part of an international environment where you can grow, challenge yourself, and do what inspires you. We work hard but have fun while doing it.
Leapwork Principles:
Our three core principles capture the essence of what it means to be part of our world-class team! They are integral to how we approach our work and one another, and they serve as a roadmap to our continued growth, development, achievements, and success.
People First: Strong relationships with our customers, partners, and team are the foundation of our success. We win by listening, understanding, and offering empathy and respect to everyone we engage with. We are human and act humane.
Grow or Die: Standing still is not an option. We adapt to change and drive it forward. We challenge ourselves and others to keep learning, share ideas, and find new ways to grow the business.
Speed Matters: We act with intent and urgency. We cut complexity, seize opportunities, and deliver results fast.
Ready to apply?
Apply to LeapworkInovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Overview: The Manager, Software Engineering is responsible for managing a team of engineers and for product releases.
Duties and Responsibilities:
- Manage a global team of engineers following organization defined management processes.
- Leading engineering programs for efficient, high quality new product release and patch releases following defined processes.
- Seek to understand the customer and the purpose the product is serving to achieve customer best results.
- Working as a hands-on contributor at the Sr. Software Engineer level as/when required; handle escalations as needed.
- Works cross functionally with QA and DevOps teams to deliver product to market in an automated fashion.
- Scope of responsibility is typically across one feature set or small product.
- Collaborate effectively with business and technology teams to ensure organizational effectiveness and take advantage of existing solutions and synergies where possible.
- Assist in establishing individual and departmental level goals. Track and deliver metrics to ensure objectives are met.
- Assist in delivery of Technology Roadmap while meeting defined budget.
- Attract, recruit, retain and develop top talent, and responsible for performance evaluations.
- Foster a growth mindset in all employees:
- Support employees in setting and attaining professional and development goals;
- Coach and mentor employees on career and personal development, Agile delivery, and development practices creating a high performing team; and
- Support continuous learning.
- Maintain compliance with Inovalon’s policies, procedures and mission statement.
- Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position.
- Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company.
- On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.
Job Requirements:
- 8+ years’ experience as a Software Engineer.
- 0-2 years of experience as a manager preferred.
- Adepts in at least 1 programing language, deep technical expertise in one vertical technical area, domain expertise at the module level, and expertise in one operating system.
- Proficient in Microsoft Office suite.
- Excellent verbal and written communications skills.
- Excellent time management skills.
- Self-motivated with strong organizational/prioritization skills.
- Ability to multi-task with close attention to detail.
- Proven ability to work effectively under pressure & meet deadlines.
Education:
- Bachelor’s degree in Information Systems, Computer Sciences, engineering or science.
Physical Demands and Work Environment:
- Sedentary work (i.e. sitting for long periods of time).
- Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
- Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions.
- Subject to inside environmental conditions.
- Travel for this position is expected to be less than 10%.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
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