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

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

Bready* to make a change?

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

About this Roll*:

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

Do you have the right ingredients*?

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

Bonus Ingredients (The "Staff" Edge)

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

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

AI at Toast

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

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

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

AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.

As a Senior Software Engineer on this team, you'll be hands-on building the systems that other Toast engineers depend on every day: the LLM proxy, agentic workflows, and the plugin marketplace that brings AI-native development practices to teams across the company.

This is a hybrid role with 2 days per week in the Bengaluru office.

A day in the life (Responsibilities)

• Design, build, and ship features across AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines
• Develop and extend autonomous agents that participate in the SDLC, such as the AI Review GitHub App and Developer Platform MCP integrations
• Build on and contribute to the internal plugin marketplace, developing plugins that encode Toast's architectural standards and quality practices into AI assistant behavior
• Implement MCP (Model Context Protocol) services and service templates that make it faster and easier for teams across Toast to build AI-powered workflows
• Write high-quality, well-tested code and participate in design and code reviews
• Collaborate with engineers, product managers, and platform teams to understand developer needs and translate them into reliable platform solutions
• Contribute to the team's adoption of agentic development practices and tooling
• Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team.

What you'll need to thrive (Requirements)

• Bachelor’s Degree with relevant experience of 5+ years in designing and implementing scalable backend services
• Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
• Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and an interest in extending them through custom plugins, skills, or hooks
• Experience with MCP (Model Context Protocol), tool use patterns, or similar agentic integration frameworks
• Working knowledge of prompt engineering and how LLM behavior responds to context and instructions
• Strong foundation in Java, Kotlin, or another object-oriented language
• Experience with distributed systems, REST APIs, and cloud-native infrastructure
• Strong customer empathy and a drive to make developers' lives better through reliable, well-designed platform solutions

What will help you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms, internal tooling, or API gateways
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

AI at Toast

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

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

#LI-HYBRID

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. 

OVERVIEW

The Manager, Quality Systems & Operations (QSO) is responsible for leading the day-to-day operation, governance, and continuous improvement of the organization’s Quality Management System (QMS) within a regulated clinical technology environment. This role serves as the operational backbone (“engine room”) of the Quality & Compliance function and ensures quality processes are efficient, inspection-ready, risk-based, and aligned with the needs of a clinical trial software / technology-enabled services organization.

The Manager, QSO will oversee core quality system processes including document control, SOP lifecycle management, training administration and effectiveness support, quality events and CAPA management, quality metrics and management reporting, and cross-functional process improvement initiatives. This role partners closely with Product, Engineering, Information Security, Operations, Client Services, Audits & Assurance (AA), and Systems & Regulatory Compliance (SRC) to support GxP expectations, customer requirements, and operational excellence.

KEY TASKS & RESPONSIBILITIES

➢ Quality Management System (QMS) Ownership

• Own the administration, maintenance, and continuous improvement of the enterprise QMS supporting a clinical trial software / vendor services environment.
• Manage controlled documentation processes including SOPs, policies, work instructions, templates, validation documentation, and periodic reviews.
• Ensure document control practices meet internal governance, client expectations, and applicable GxP / computerized systems requirements.
• Maintain version control, approvals, archival, training linkage, and retention controls for quality records.

➢ Quality Operations / Day-to-Day Oversight

• Serve as operational lead for daily quality system workflows, requests, escalations, and prioritization.
• Ensure timely execution of quality deliverables including document approvals, event reviews, CAPA follow-up, training assignments, and management reporting.
• Coordinate core quality activities across business and technical functions in a fast-paced SaaS / vendor setting.

➢ Quality Events, Investigations & CAPA

• Oversee quality events including deviations, incidents, customer quality issues, audit observations, system/process nonconformances, and supplier quality concerns as applicable.
• Manage CAPA lifecycle from initiation through closure, including root cause analysis, action tracking, due dates, evidence review, and effectiveness verification.
• Facilitate governance reviews for aging items, repeat issues, overdue actions, and systemic trends.
• Support quality investigations involving validated systems, software releases, data integrity concerns, or service delivery issues.

➢ Training Program Support & Effectiveness

• Support administration of the quality training program and learning compliance processes.
• Ensure role-based training matrices align with regulated responsibilities and controlled procedures.
• Provide guidance on training effectiveness assessments, retraining triggers, and onboarding quality training.
• Monitor completion rates, overdue training, and training-related KPIs.

➢ Metrics, KPIs & Management Reporting

• Develop and maintain enterprise quality dashboards, KPIs, and trend reports.
• Report on QMS health including document control cycle times, CAPA status, training compliance, audit observations, quality events, and recurring risks.
• Use data to identify improvement opportunities and inform management review activities.

➢ Continuous Improvement / Operational Excellence

• Identify opportunities to streamline, automate, and mature quality processes while maintaining compliance.
• Lead initiatives to improve user experience and adoption of quality systems/tools.
• Support implementation, configuration, or enhancement of electronic QMS (eQMS), LMS, issue management, and workflow tools.

➢ Cross-Functional Partnership

• Partner with Product, Engineering, DevOps, Security, and Operations teams to embed practical quality controls into business processes.
• Collaborate with Audits & Assurance (AA) on internal/external audit readiness, observations, and remediation.
• Collaborate with Systems & Regulatory Compliance (SRC) on GxP requirements, supplier/customer obligations, validation governance, and regulatory commitments.
• Support client due diligence requests, quality questionnaires, and customer audits as needed.

➢ Other duties as assigned

Education & Experience

➢ Bachelor’s degree in Life Sciences, Quality, Engineering, Computer Science, Business, or related discipline preferred
➢ 12+ years of experience in Quality Systems, Quality Operations, Compliance, or related roles within a regulated environment preferred
➢ Experience in a clinical trial software vendor, SaaS healthcare technology, CRO, life sciences technology, eClinical, or related GxP-supporting organization
➢ ASQ, Six Sigma, ISO, GxP, or related certifications preferred

Professional Skills

➢ Working knowledge of GxP principles, computerized systems controls, data integrity expectations, and risk-based quality management
➢ Experience supporting customer audits, supplier audits, or regulatory inspections preferred
➢ Experience managing CAPA, investigations, document control, training systems, and quality metrics
➢ Strong communication, organization, and stakeholder management skills
➢ Familiarity with CSV / CSA concepts and validation documentation for regulated systems preferred

Technical Skills

➢ Experience using electronic QMS platforms and workflow systems
➢ Experience with tools such as Qualio, Veeva, MasterControl, TrackWise, Jira, or similar platforms preferred

Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours!

eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here!

We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.

About the role

We are looking for a high-impact Publisher Growth & Monetization Manager to drive revenue optimization across the ads ecosystem. This role sits at the intersection of analytics, product, and sales, and requires someone who can both diagnose monetization opportunities and execute on them with stakeholders.

This role is ideal for someone who mirrors a hybrid profile: consultative seller + analytical operator.

Key Responsibilities

Publisher Strategy & Growth: Act as a strategic advisor on revenue growth, inventory strategy, and ad stack evolution, Build quarterly growth plans and track execution against revenue targets. Identify whitespace opportunities (new formats, geos, demand partnerships)

Revenue & Monetization Optimization: Own end-to-end monetization strategy across Google Ad Manager / AdX / programmatic stack for web and app surfaces. Analyze revenue drivers (fill rate, CPMs, demand mix, floor pricing, etc.) and identify optimization levers. Run experiments (pricing, formats, demand channels) to maximize yield

Data & Analytics: Monitor performance (RPM, ARPU, latency, viewability, etc.). Translate data into clear narratives for internal and external stakeholders

Sales & Stakeholder Management: Own a portfolio of accounts with revenue responsibility. Lead business reviews, negotiations, and growth conversations with senior stakeholders

Cross-functional Collaboration: Work with Product, Engineering, and Demand teams to solve publisher challenges. Provide feedback loops to improve product features and monetization tools. Partner with internal teams to unlock incremental demand.

Minimum Qualifications

• 6–8 years of experience in ad tech, digital advertising, or publisher monetization
• Strong analytical skills (Excel, data storytelling)
• Experience with Google Ad Manager / AdX / programmatic ecosystem
• Ability to manage client relationships and drive revenue outcomes

Preferred Qualifications

• Prior experience in Managing publishers and ad inventory.
• Strong understanding of:
• Header bidding / Open Bidding
• Yield optimization & pricing strategies
• Programmatic demand landscape
• Proven track record of growing revenue or managing business targets
• Ability to operate in ambiguous, fast-paced environments

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

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

AI Foundations is Toast's internal platform team for AI. We build the infrastructure, governance, and developer tooling that makes AI a reliable, scalable force multiplier across the entire product development lifecycle. Our products include the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents that participate directly in the software development lifecycle.

As a Staff Software Engineer on this team, you'll shape the foundation others build on: from the LLM Proxy that routes all internal AI traffic, to autonomous agents that participate directly in the software development lifecycle. If you want to work at the frontier of AI infrastructure and see your work amplify hundreds of engineers across a fast-growing company, this is the role.

A day in the life (Responsibilities)

• Design, build, and ship core AI platform infrastructure, including the LLM proxy, AI key management, and observability pipelines powering Toast's internal AI ecosystem
• Architect and deliver autonomous agents that participate in the SDLC, including the AI Review GitHub App and Developer Platform MCP integrations
• Build on and help maintain the internal plugin marketplace, developing plugins that encode Toast's architectural standards, PR patterns, and quality practices directly into AI assistant behavior
• Lead technical design and implementation of MCP (Model Context Protocol) services and no-code service templates that accelerate AI-powered development across Toast
• Drive adoption of agentic development practices through tooling, internal evangelism, and hands-on enablement across engineering teams
• Mentor engineers through code reviews, architecture discussions, and pairing sessions
• Partner with product and platform teams to define and expand the AI Foundations roadmap

What you'll need to thrive (Requirements)

• 8+ years of experience designing and implementing scalable backend services
• Strong foundation in Java, Kotlin, or another object-oriented language, with experience building scalable backend services
• Demonstrated experience building, deploying, or operating LLM-powered agents or AI-assisted developer tooling
• Deep familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot) and the ability to extend them through custom plugins, skills, or hooks
• Hands-on experience with MCP (Model Context Protocol), tool use patterns, or agentic frameworks
• Strong prompt engineering skills and intuition for how LLM behavior changes with context, instructions, and tool definitions
• Proven track record of technical leadership: influencing architecture decisions, setting quality standards, and mentoring peers
• Experience with distributed systems, API design, and cloud-native infrastructure
• Strong customer empathy and the ability to translate developer pain points into platform solutions

What will help you stand out

• Familiarity with A2A (Agent-to-Agent) protocols and multi-agent orchestration patterns
• Experience with machine learning concepts, model evaluation, or ML infrastructure
• Experience building developer experience platforms, internal tooling, or API gateways
• Familiarity with observability tooling for AI/LLM systems (e.g., Langfuse, DataDog)

This is a hybrid role with 2 days per week in the Bengaluru office

AI at Toast

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

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

About the Role

Are you a passionate, energetic technologist who thrives in fast-paced environments and enjoys working across evolving technology stacks? Do you enjoy debugging complex systems, solving real business problems, and obsessing over the details that make systems reliable and scalable?

We’re looking for a SDE III to join the 3PIP Integrations and Inventory System team.

You will help design, build, and operate systems that sits between Groupon and 3rd party partners, along with our internal inventory management systems.

We are an AI driven organisation and highly promotes usage of AI agentic workflows to drive rapid growth and optimizations.

Our Technology Landscape (Today & Tomorrow)

Our platform is evolving, and we want engineers who are excited to grow with it.

Current Stack

• Backend services primarily in Java
• Cloud infrastructure on GCP/AWS
• Relational databases: MySQL, PostgreSQL
• REST / JSON APIs
• CI / CD - Jenkins
• Message brokers
• Docker, Kubernetes
• GitHub,
• JIRA,
• ELK

Future Direction

• (Key Focus) Moving towards Encore( TypeScript-first backend services)
• Building on GCP with Encore as a core development framework Emphasis on modern cloud-native architecture, service ownership, and developer productivity
• While experience with Java and AWS is important today, every new engineer should be excited about—and willing to actively contribute to—our transition toward a TypeScript and GCP-based ecosystem.

What You’ll Do:

• Design and develop services within Groupon’s microservices ecosystem Work on highly scalable e-commerce systems involving inventory, fulfillment, and 3rd party integrations.
• Collaborate with cross-functional teams to deliver business features and ensure compliance requirements are met
• Build service artifacts, plan deployments, and coordinate timelines with project and partner teams
• Improve system reliability by defining service-level metrics, setting alerting thresholds, and automating responses
• Create and maintain clear technical documentation
• Mentor junior engineers and support their technical growth
• Drive technical discussions and influence architectural decisions within the team

We’re Excited About You If You Have:

• BE/BTech or ME/MTech in Computer Science, Software Engineering, or a related field
• 6+ years of industry experience building and operating production systems Strong coding skills in Java , with openness to learning TypeScript
• Solid computer science fundamentals (Design Patterns, Data Structures & Algorithms, Operating Systems , DBMS)
• Experience with relational databases such as MySQL or PostgreSQL
• Exposure to NoSQL databases is a plus
• Exposure to AI tools like claude code, cursor are highly preferred.
• Experience developing and supporting web applications in transactional environments
• Strong debugging and troubleshooting skills
• Good communication and collaboration skills across technical and non-technical stakeholders
• Interest or experience in cloud platforms (AWS today, GCP tomorrow) is highly valued

We Value Engineers Who Are:

• Customer-focused – You understand that customer impact drives everything we build
• Obsessed with Quality – Your production code is reliable, scalable, and maintainable
• Team player – You collaborate, listen, and give constructive feedback
• Fast learners – You enjoy learning new technologies and applying them quickly
• Pragmatic – You balance speed and quality, knowing when trade-offs make sense
• Owners – You take responsibility for outcomes and actively contribute to business success

About the role:

We are seeking a highly motivated and experienced Life Underwriting Trainer to join our team. The ideal candidate will be responsible for designing, developing, and delivering comprehensive training programs to enhance the knowledge and skills of our underwriting staff. This role involves creating engaging learning materials, conducting training sessions, and evaluating the effectiveness of training initiatives.

Roles & Responsibilities:

• Create and maintain engaging training materials, including job aids, e-learning modules, workshops, knowledge assessments and Standard Operating Procedures.
• Conduct instructor-led training sessions, workshops, and online training programs for underwriting staff.
• Evaluate training program efficiency through assessments, feedback, and performance metrics.
• Provide ongoing support and coaching to underwriting staff to ensure continuous improvement in underwriting practices.
• Stay current with industry trends, changes in regulations, advancements in underwriting technology, and new learning/development methodologies.
• Collaborate with subject matter experts and management to identify training needs and develop targeted training solutions.
• Support change management initiatives related to underwriting processes, systems, and methodologies.
• Foster an environment of psychological safety.

Qualifications & skills:

• 5+ years of experience in life underwriting or training.
• Proficient knowledge of life underwriting principles, practices, and regulatory requirements.
• Excellent communication, presentation, and facilitation skills.
• Proficiency in creating training materials using various software and tools.
• Ability to work autonomously and as part of a team.
• Certifications in training and development are a plus.

#LI-Hybrid
#LI-KP1

The Team:

As a Lead Applied Value Engineer you push the envelope in solving mission-critical problems for our customers. You will work with our most strategic customers, understand their strategy and key challenges, and build Celonis solutions using cutting-edge AI technologies from market leaders such as Microsoft and OpenAI. With Celonis’ market-leading Process Intelligence (PI) Platform we feed operational context to AI so it understands our customers’ businesses and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to executives, and ensure successful implementation, adoption and value realization to increase Celonis' footprint at those customers.. 

The Role:

As a Lead Applied Value Engineer, responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and industries and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set with strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The work you’ll do:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Identify & Frame Value:
  Discover and translate customers’ strategic priorities into high-impact Celonis use cases
  Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers 
  Undertake Value Assessments or Proof-of-Value Projects and communicate the value opportunity and strategic roadmap to C-Level executives
• Realize Value:
  Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement
  Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives
  Present results and realized value to senior management and C-level executives
• Scale Value:
  Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing
  Build a strategic expansion roadmap for customers embedding Celonis Process Intelligence as a strategic business transformation platform in their organization and therefore drive adoption and expansion
  Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use case

The qualifications you need:

• Live for Customer Value: 9+ years of experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment. Ideally in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy. Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise.
  Data, Analytics, Applications & IT: Good knowledge of Business Software / SaaS applications (e.g. SAP/ Oracle),  experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Hands-on Experience with Process Mining tools and technologies is preferred. Hands-on SQL experience and Python is preferred . Experience in collaborating with IT teams.
• Process Improvement & Value Realization: Experience in identifying business use cases for business process improvement and deploying improvement measures, being a change agent and training users/process owners to realize value. Domain and industry knowledge such as Supply chain, finance, CPG, BFSI, Manufacturing etc. would be a plus.
• Project Management: Experience in planning and managing project scopes, expectations and timelines. You will manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.
• Executive Stakeholder Management: Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally. Excellent communication and presentation skills in English.

About the Role

🤖 Power Groupon’s Next Chapter with AI-Driven Innovation

Are you a hands-on technical leader ready to shape the next generation of B2B platforms? Join Groupon at a pivotal moment as we transform our business with an aggressive AI-first strategy and modern technology stack. As our new Backend  Engineer for Deal Management, you will drive the architecture, development, and impact of systems that empower local businesses worldwide—right from the ground up.

Key Responsibilities:

• Deliver complex technical initiatives independently within high-availability, mission-critical systems.
• Lead technical reviews and contribute to architectural decisions, specifically driving TypeScript/Node.js migrations.
• Champion AI-assisted development by using tools like Cursor and Claude hands-on; mentor teammates on effective practices and prompt engineering.
• Communicate technical trade-offs clearly to both technical and non-technical stakeholders to ensure alignment on roadmap priorities.
• Own operational excellence by maintaining and improving SLOs, observability, and comprehensive documentation for your areas of ownership.

Key Requirements:

• 6+ years of software engineering experience with deep proficiency in production-grade TypeScript, Node.js
• Distributed systems expertise in high-traffic environments, including API design, monitoring, and advanced debugging.
• AI-Native workflow: Hands-on experience integrating AI coding tools (e.g., Cursor, Claude) into your daily development cycle.
• Strong communication skills and a proven ability to drive cross-functional collaboration.
• Set engineering quality bars by driving best practices around code reviews, testing strategy, security, and performance, ensuring long-term maintainability and scalability of the platform.

Nice to Have:

• Experience scaling E-commerce or marketplace platforms.
• A background in Java to support modernization and refactoring projects will be considered.
• Open source contributions or practical experience with AI/ML integration.
• Experience owning systems end-to-end, including design, development, rollout, and post-production support in fast-moving environments.
• Strong fundamentals in data modeling, system performance optimization, and resilience patterns.
• Prior experience influencing technical direction beyond your immediate team (RFCs, design docs, tech talks, or migration leadership).

What Success Looks Like:

• Independence: Delivering high-quality, well-tested features with minimal guidance.
• Architectural Impact: Active participation in design reviews that tangibly improve team-wide technical solutions.
• Mentorship: Effective coaching of junior engineers with a measurable impact on their technical growth.
• Risk Management: Maintaining clear documentation and proactively identifying risks before they impact the platform.

We Are Interested In:

Engineers who take full technical ownership, embrace AI tooling in their daily work, and deliver reliable systems while growing their impact across the team. We seek a candidate who can balance high-stakes stability with the speed of modern transformation.

About Zuora

At Zuora, we help businesses grow smarter and adapt faster. Our platform powers modern business models — from subscriptions and usage-based pricing to AI-driven and outcome-based offerings — helping companies launch new products, automate complex billing, and unlock predictable, recurring revenue.

We’ve led the Subscription Economy for more than a decade. Now we’re evolving again by building the definitive platform for quote to cash and helping companies monetize their products and services with an adaptable, AI-ready foundation.

The Opportunity

We’re looking for a strong technical contributor to drive AI/ML innovation and deliver real business impact through intelligent solutions.

You’ll:

• Identify high-impact opportunities using AI/ML to solve customer and business problems
• Partner with stakeholders and influence decisions through data-driven insights
• Build and deploy end-to-end ML models (including LLMs) using structured and unstructured data
• Collaborate with engineering teams to develop scalable data and ML pipelines
• Take full ownership from idea to production, delivering measurable business outcomes

This role is ideal for someone who can combine deep technical expertise with business thinking to simplify complexity and build impactful, production-ready AI solutions.

About You

1. 7+ years of experience in the data science/machine learning domain, preferably with hands-on end-to-end model building experience
2. Curious mind to learn, explore and identify biggest customer opportunities
3. Build strong relationships across both technical and business/product teams, earn trust with leadership
4. Driven towards forming opinions and conclusions through data and experimentation, rather than anecdotes and hearsay
5. Willingness to dive deep into the tech stack as well as hands-on coding
6. Experience in building end to end ML models, across the ML lifecycle
7. Strong communication and leadership presence
8. Technical skills- hands on with scripting required, with knowledge or willingness to learn tools/softwares. Knowledge of R, SQL, Python, Statistical modeling, experience with AWS/Azure/GCP ML suite
9. Experience in the following domains/industries preferred- SaaS, ecommerce, pricing or payments
10. Bachelors/Masters in a technical or natural sciences domain from a top university

Even if you feel like you meet some, but not all of the qualifications, we would love it if you take the time to apply to the role. As we evolve and scale up a relatively new team, we strongly believe that a diverse team structure will accelerate progress towards our objectives.

The Team

Zuora Platform Tech is at the forefront of technological and business transformation, tackling complex, ambiguous problems to drive innovation. As part of the AIMS team (AI, ML, and Science), you’ll work on applying advanced AI and data science to enable total monetization across Zuora’s product suite and beyond.

The team operates at the intersection of AI, business strategy, and product innovation, solving high-impact problems like pricing, forecasting, segmentation, and optimization. The tech stack includes Java, Spring, Microservices, Kafka, Spark, NodeJS, AWS, Kubernetes, Terraform, and AngularJS.

Benefits

Zuora offers a comprehensive total rewards package designed to support ZEOs’ wellbeing, growth, and flexibility. While specific offerings may vary by country, we typically provide:

• Competitive compensation, variable bonus and performance-based reward opportunities, and retirement programs
• Medical, dental, and vision insurance
• Generous, flexible time off, plus paid holidays, wellness days, and a company-wide year-end break
• Paid parental leave (including fully paid leave for eligible ZEOs, subject to local policy)
• Learning & development stipend to support ongoing growth
• Opportunities to volunteer and give back, including charitable donation matching where available
• Mental wellbeing resources and support

*Benefits may vary by location; details will be shared during the interview process

#ZEOLife at Zuora

ZEOs (our employees) are empowered to take ownership, challenge the status quo, and make a real impact. We:

• Collaborate deeply across teams and regions
• Learn constantly and iterate often
• Build an inclusive, high-performance culture where people feel inspired, connected, and valued

Our Commitment to an Inclusive Workplace

Think, be and do you.
At Zuora, different perspectives, experiences, and contributions matter — everyone counts.

Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all. We do not discriminate on the basis of, and consider individuals seeking employment with Zuora without regard to, race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us by sending an email to assistance@zuora.com (or local equivalent, where applicable).

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

• Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines
• Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable
• CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools
• Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms
• Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable
• Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time.
• Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable
• Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users
• Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production.
• Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow.
• Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design, AI/ML Frameworks and tools involving large Petabytes of data with Databricks Lakehouse ecosystem
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python and SQL
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Legally eligible to work in India on an ongoing basis

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Senior AI/ML Ops Engineers who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

• Designing, Developing and overseeing the strategy and architecture of scalable and reliable AI/ML Ops platforms / pipelines
• Model Deployment: Package and deploy AI/ML services to production, ensuring they are reproducible and interpretable
• CI/CD Pipeline Development: Design and implement automated CI/CD (Continuous Integration/Continuous Deployment) pipelines to accelerate model deployment using tools
• Infrastructure Management: Provision and optimize infrastructure for training and serving, utilizing Docker, Kubernetes, or serverless platforms
• Monitoring & Observability : Implement post-deployment monitoring for model performance, data drift, and latency using tools. Experience in Monte Carlo is preferable
• Automation: Automate retraining and data pipeline workflows to ensure models stay accurate over time.
• Manage the deployment of foundation models, fine-tuning workflows, and Retrieval-Augmented Generation (RAG) stacks (Vector DBs, Knowledge Graph. Experience with AWS Bedrock is preferable
• Resource Optimization: Manage GPU/CPU utilization to minimize cloud costs while maintaining low-latency inference for users
• Collaboration: Work closely with data scientists, data engineers, and software engineers to bridge the gap between model development and production.
• Version Control & Governance: Manage versioning for data, code, and models using tools like MLflow.
• Security & Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining AI/ML Ops platform systems ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design, AI/ML Frameworks and tools involving large Petabytes of data with Databricks Lakehouse ecosystem
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python and SQL
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Legally eligible to work in India on an ongoing basis

Corporate Systems Engineering builds and operates the software platforms, integrations, and automations that power Smartsheet’s core business functions across Finance, Sales/GTM, and People & Culture.  Our team owns mission-critical systems and workflows that enable how the company hires, sells, bills, pays, reports, and scales. We operate at the intersection of software engineering, enterprise platforms, and business-critical data, treating internal systems with the same rigor, reliability, and product mindset as customer-facing software.

The People Systems team engineers and operates platforms that support the employee lifecycle, including HR, payroll, learning, and talent systems.  We balance deep platform configuration with extensibility, integrations, and data integrity to deliver reliable, compliant systems that scale with the organization.

As a Sr. HR Systems Engineer on the People Systems team, you will operate as a technical leader within the People & Culture (P&C) domain, owning complex, high-impact engineering work that extends beyond traditional application configuration. This role focuses on building scalable, reliable, and extensible solutions across Workday, People data, integrations, and automation that support the full employee lifecycle and enable the business to operate with accuracy, speed, and insight. You will work at the intersection of enterprise platforms, custom engineering, and data, helping evolve People Systems from primarily UI-driven administration into a product-grade, engineering-led capability within Product Engineering.

This role is suited for a senior engineer who is comfortable working across configuration, code, integrations, and data - and who enjoys solving ambiguous, cross-functional problems in a regulated enterprise environment.

You Will:

• Act as a senior technical owner within the People Systems domain, responsible for designing and delivering complex solutions across Workday, integrations, and supporting platforms
• Lead engineering efforts related to People data flows, including hire-to-retire lifecycle events, data synchronization, and downstream consumption by Finance, Security, and Analytics
• Design and implement custom extensions and integrations using tools such as Workday Studio, APIs, middleware, or AWS-based services
• Partner with Integrations and Automation teams to build event-driven, automated People workflows (e.g., joiner/mover/leaver, access provisioning, data updates)
• Own the technical design and implementation of People-related integrations and data contracts, ensuring reliability, auditability, and clear ownership
• Contribute to People reporting and analytics initiatives by enabling high-quality, well-modeled People data for BI, compliance, and workforce insights
• Identify opportunities to reduce manual People operations through automation, configuration-as-code patterns, and reusable components
• Provide technical leadership and mentorship to other People Systems engineers, reviewing designs and code and setting quality standards
• Partner closely with Product Managers, HR stakeholders, Security, and Compliance to translate People domain needs into robust technical solutions
• Participate in on-call rotations and operational ownership for People Systems, ensuring reliability and rapid issue resolution

You Have:

• 6-8 years experience building and supporting enterprise systems, with deep exposure to HR/People platforms such as Workday
• Experience extending enterprise platforms through custom development, APIs, middleware, or platform-specific tooling (e.g., Workday Studio or similar)
• Strong understanding of system-to-system integrations, data modeling, and event-driven workflows
• Comfort working across both UI-driven configuration and code-based solutions
• Experience operating in environments with compliance, audit, and security requirements (SOX, ITGC, access controls)
• Ability to lead technical initiatives independently and make sound architectural decisions
• Strong communication skills and comfort collaborating with non-technical stakeholders
• Experience mentoring engineers and raising the technical bar of a team
• Experience with People data analytics, reporting pipelines, or workforce metrics
• Familiarity with identity lifecycle management and security integrations tied to HR systems
• Experience building internal tools or automations that support HR or People Operations teams
• Exposure to cloud platforms (AWS), scripting languages, or automation frameworks
• Experience working in Product Engineering organizations rather than traditional IT

Smartsheet is looking for a Talent Development Partner to provide support to our global team and act as a key representative for our Talent programs in Bengaluru. You will be responsible for bringing our global Talent Development and Talent Management programs to life locally. You will facilitate learning, drive talent processes, and serve as the in-office host for learning events, helping to grow a culture of learning and high-performance. You should feel confident navigating the intersection of learning and AI. 

You will be office-based 3 days a week in Bengaluru and report to the Sr. Manager, Talent Development, based in the US. 

You Will:

• Facilitate live and virtual instructor-led training sessions in partnership with HR and the business.  
• Serve as the on-site point of contact, partnering with local and global teams to adapt and localize Talent program materials, communications, and processes to ensure regional context and cultural nuance.
• Gather feedback, measure outcomes, and propose continuous improvement to learning programs to ensure quality program execution.
• Create or curate learning content and experiences aligned with the objectives of the business, shaping meaningful, scalable learning experiences.
• Understand and communicate the impact of AI on skills, roles, and learning, integrating AI awareness into relevant talent programs.
• Perform other duties as assigned

You Have:

• 2-4 years of relevant experience in talent development, facilitation, or related HR roles.
• Proven ability to deliver engaging, interactive training sessions in-person and virtually.
• Ability to provide occasional coverage outside of normal business hours.
• Comfort with AI-powered tools or platforms, and curiosity to stay ahead of tech trends in Talent Development.
• Familiarity with Google Drive, Docs, and Slides, Udemy, Docebo, Slack, and Zoom or similar programs.
• Ability to manage highly sensitive situations.
• Comfortability with frequent change.
• Must be able to move throughout the office during office hours & be able to move moderate weight equipment.
• Legally eligible to work in India on an ongoing basis

As a global leader in Collaborative Work Management and with a market cap of $10bn we’ve experienced incredible growth in EMEA, expanding from 1 team and 3 engineers in 2018 to 9 teams with over 70 engineers in 2024. As we expand into India and build out a new operation, we're searching for a talented and motivated Principal Analytics Engineer (Data Architect) to serve as a thought leader in our data-driven decision-making. You will be responsible for the end-to-end system design and architecture of our business critical analytical systems (DWs). This role will be responsible for the design and development of a governed, reliable, and scalable analytics ecosystem, transforming raw data into high-value, performant data products for DS/ML, analytics, and reporting.

A key aspect of this role is providing thought leadership and architecting efficient, large-scale data transformation systems within Snowflake. You will have demonstrated experience architecting data solutions for SaaS companies, specifically within the Go-To-Market (GTM), Marketing, Customer Experience, and Financial business domains. Working as a strategic advisor to BI analysts, Data Scientists, and business leadership, you will drive the organization's data strategy, ensure data accessibility, and foster data democratization across the enterprise.

This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India.

You Will:

• Lead the end-to-end system design and architecture for large, complex analytics systems, optimizing data transformations from our data lake in Snowflake into analytical data products (DWs).
• Define and drive the adoption of design standards, architectural principles, and data modeling methodologies (including Data Vault (DV 2.0) and dimensional modeling) across the organization.
• Propose and drive strategic initiatives and coordinate the technical roadmap for analytical systems across the engineering organization partnering closely with the Big Data Platforms (BDP) team.
• Serve as the data architect for critical SaaS business domains, including Go-To-Market, Marketing, Customer Experience, and Finance, translating ambiguous business problems into scalable technical analytical solutions.
• Develop and implement the organization's data strategy for data quality, observability, and testing, raising the bar for engineering quality.
• Architect and guide teams to build and maintain a governed, robust, reliable, and scalable analytics system leveraging Gen AI capabilities including AI-assisted code development practices.
• Act as a trusted advisor to BI analysts, data scientists, and business leaders, educating and advising leadership on technical data topics and data accessibility strategies.
• Foster data democratization via activation of data on critical platforms like Smartsheet Platform, Amplitude, ThoughtSpot, Gainsight & Salesforce.
• Actively mentor analytics engineers and provide mentorship across disciplines, leading forums such as guilds, design reviews, and engineering forums.
• Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA).

You Have:

• 12+ years of experience in advanced data modeling, data architecture, and data warehousing. This role is expected to do development activities in combination of the data architecture scope, so hands-on experience is necessary.
• Deep expertise and 10+ years of hands-on experience with Data Vault (DV 2.0) and Dimensional Modeling.
• Expert-level knowledge of modern data stacks, including Snowflake, dbt, and data orchestration tools (e.g., Airflow, GitLab pipelines).
• Proven experience architecting and building analytical products for SaaS companies in GTM, Marketing, Customer Experience, and Financial data domains.
• Comprehensive understanding of data topologies (e.g., data mesh, hub/spoke) and data modeling methodologies (e.g., Data Vault, Kimball, Inmon).
• Demonstrated ability to drive clarity in ambiguous environments where the strategy may not be defined.
• Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users.
• Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets.
• Exceptional communication skills, with experience educating and advising senior leadership and mentoring teams across disciplines.
• Strong knowledge of data governance principles, CI/CD practices (e.g., GitLab), self-serve analytics tools (e.g., Amplitude, ThoughtSpot), and cloud architectures (AWS preferred).

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for Principal Data & AI/ML Ops Engineers, who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform. 

You Will:

• Data Architecture and Design: Designing and overseeing the architecture of scalable and reliable data platforms, including data pipelines, storage solutions, and processing systems
• Data Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies
• Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, and transforming large datasets from various sources
• Performance Optimisation: Identifying and resolving performance bottlenecks in data pipelines and systems, ensuring efficient data retrieval and processing
• Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure
• Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform
• Data Security and Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data
• Perform other duties as assigned

You Have:

• Enterprise SaaS software solutions with high availability and scalability
• Solution handling large scale structured and unstructured data from varied data sources
• Experience in building and maintaining data platform systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure ensuring scalability, reliability, efficiency and security
• Working with Product engineering team to influence designs with data, AI and analytics use cases in mind
• In depth experience in System design involving large Petabytes of data with Databricks Lakehouse
• Experience in modern AI/Data infrastructure patterns, Semantics layer Organizing data for AI agents (metadata, context)
• AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph
• Knowledge of AI/ML frameworks like LangChain, LangGraph for AI/ML Ops pipeline integration
• Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable
• Programming languages like Python, SQL, and potentially Java or Scala
• Exposure to Snowflake and Data pipeline frameworks like Airbyte/Airflow is preferable
• Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting
• Solution Cost Optimisations and design to cost
• Driving engineering excellence initiatives
• Legally eligible to work in India on an ongoing basis

POSITION SUMMARY

We are seeking experienced, passionate, and resourceful front-end Staff developers to join our Product Engineering teams. As a developer, you will collaborate cross-functionally with teams to design and develop our applications. Being customer-facing, our Engineering teams play a crucial role in shaping the customer’s impression of our company.

This position will ideally be a hybrid role from our Bengaluru office, as part of our expanding site presence. EarnIn offers our employees excellent benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to travel to our Mountain View HQ. Our salary ranges are determined by role, level, and location.

WHAT YOU'LL DO

• Collaborate with the product and design team to create new user experiences and features.
• Create a scalable web architecture that ensures the organization remains nimble as it grows.
• Create Unit and Automation (User Interface) Tests to ensure the new code does not break existing features and meets the product's specified requirements.
• Create and monitor analytics to demonstrate the effectiveness of new and existing features in helping customers.
• Lead the establishment and governance of engineering best practices, ensuring high standards for code quality and system reliability.
• Lead, design, develop, and deliver large-scale systems.
• Proactively drive projects, providing clear direction and detailed problem-solving strategies.
• Mentor the engineering team, elevating skills and optimizing processes.
• Design and execute comprehensive unit and UI automation tests to ensure new features perform as required without disrupting existing functionalities.
• Analyze feature effectiveness using advanced analytics to demonstrate impact and inform future enhancements.

WHAT WE'RE LOOKING FOR

• Bachelor’s (or higher, e.g., MS, or PhD) in Computer Science or a related technical field involving coding or equivalent technical experience
• Excellent knowledge of front-end web programming languages, such as HTML, CSS, JavaScript, Typescript, and ReactJS, with the ability to render server-side and client-side content
• Proficient in C# .NET or Kotlin or other popular back-end programming language with a minimum of 2 years of hands-on experience
• Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• 7+ years of relevant industry experience, particularly in mobile development.
• Hands-on experience working in cloud environments: AWS, GCP, or Azure
• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs)

#LI-Hybrid

POSITION SUMMARY

Join us in a high-impact role to drive growth at EarnIn. This function plays a critical role in how we use analytics to inform our business & product priorities, drive data-backed experiments, deliver value across the consumer lifecycle, and measure performance to optimize future decisions. You will work closely with our product and engineering teams to establish end-to-end measurement & reporting, implement rigorous testing methodologies, and drive strategic analyses.

This position will be hybrid, based in our Bengaluru office (HSR Layout), as part of our expanding site, with two days a week required in the office. EarnIn offers our employees excellent benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to travel to our Mountain View HQ. Our salary ranges are determined by role, level, and location. We are unable to provide visa sponsorship or immigration support for this position.  

WHAT YOU'LL DO

• Drive strategic analyses that identify key opportunities to improve the core product experience for EarnIn’s customers
• Partner with the Product and Engineering teams to design and run experiments 
• Upgrade EarnIn’s experimentation stack by implementing tools such as Sequential Testing, Bayesian testing, and CUPED
• Partner with the Machine Learning Engineering team to design and build models that form the core of EarnIn’s core product
• Monitor & proactively surface/troubleshoot any problems across the key business metrics & drive resolution of these issues

WHAT WE'RE LOOKING FOR 

• 7+ years of experience in product analytics/data science in a B2C role
• Product sense and intuition to drive impact on the business and customer experience
• Experience designing, running, and interpreting experiments. 
• Expert skillset in SQL and experience with Python or R
• Practical knowledge of state-of-the-art experimentation tools such as Sequential Testing, Champion/Challenger, CUPED, etc.
• Practical knowledge of machine learning techniques
• Ability to extract insights from large data sets & seamlessly translate into actionable recommendations across the consumer journey
• Ability to establish and maintain excellent processes while allowing for creative thinking and flexibility in ambiguous situations
• Curiosity and passion for deeply understanding analytical problems and translating this to stakeholders
• Experience in Fintech is a bonus

#LI-Hybrid

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

As Senior Analyst in our Model Risk Management team, you will help manage the Model Risk Program including completing model validation reviews, maintaining the model risk inventory, and monitoring model performance particularly for Fraud and Gen AI Models. You will work closely with the Data Science Team, architects, engineers and product managers to assess the risk of model design, implementation, and use across product lines.

A day in the life (Responsibilities) 

• Support the implementation and day-to-day execution of the Second Line of Defense (2LOD) Model Risk Management (MRM) program for high-risk models, with particular focus on Fraud detection models (Transaction Fraud & Merchant Fraud) and Generative AI / LLM-based systems deployed across Toast.
• Assist in maintaining and enhancing the Model Risk Management framework, including policies, procedures, validation standards, governance documentation, templates, and best practices aligned with evolving regulatory and industry expectations.
• Enforce model lifecycle standards across development, implementation, use, monitoring, recalibration, change management, governance, and decommissioning, ensuring appropriate controls for traditional ML models as well as GenAI systems (e.g., RAG architectures, copilots, AI-assisted decision tools).
• Contribute to the development, risk-tiering, and ongoing maintenance of a comprehensive model inventory, including assessment of model impact, intrinsic risk (complexity and methodology), reliance on model outputs, and emerging AI-specific risks.
• Perform independent model validation reviews under the guidance of senior leadership, covering conceptual soundness, data integrity, model methodology, performance metrics (e.g., AUC, precision/recall, calibration), stability, bias/fairness risk, explainability, and monitoring frameworks. Produce validation reports and track issue remediation plans through closure.
• For Fraud models, evaluate class imbalance handling, threshold optimization, cost-sensitive performance metrics, operational overlays, rule-based controls, and portfolio-level impact analyses.
• For Generative AI systems, validate systems and evaluate risks related to hallucination, prompt injection, adversarial vulnerabilities, data privacy and leakage, model explainability limitations, bias, guardrails, output monitoring, jailbreak testing, regression testing, and human-in-the-loop controls.
• Partner with Data Science, Data Engineering, Product/Engineering, Information Security, Legal/Compliance, Finance, Credit Risk and Business teams to obtain documentation, perform effective challenge, conduct validation and oversee performance monitoring
• Prepare reports and executive materials summarizing model risk issues, validation findings, monitoring insights, and remediation status for leadership review, risk committees, audit committees, and internal audit engagements.
• Research and stay informed on industry developments in fraud analytics, machine learning, Generative AI governance, and regulatory guidance (e.g., SR 11-7, OCC 2011-12, NIST AI RMF). Propose enhancements to strengthen Toast’s Model Risk and AI Governance framework.
• Contribute to the development of model risk training materials and support delivery of training sessions to key stakeholders to enhance awareness of fraud model risk and AI-related risks.
• Support ad-hoc initiatives related to model risk governance, AI oversight, regulatory compliance, and enterprise risk management enhancements.

What you'll need to thrive (Requirements)

• Advanced degree in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, or a related quantitative discipline
• 5+ years of relevant industry experience in Model Risk Management, Model Validation, Data Science, or Machine Learning within fintech, banking, payments, technology, or consulting environments, with exposure to fraud analytics, credit risk, or AI/ML model governance.
• Strong understanding of machine learning methodologies and statistical foundations, including model development, validation techniques, performance evaluation, calibration, and stability analysis.
• Hands-on experience with fraud detection models (e.g., transaction monitoring, chargeback prediction, merchant risk scoring) and familiarity with concepts such as class imbalance handling, threshold optimization, precision/recall trade-offs, and cost-sensitive evaluation.
• Familiarity with Generative AI and LLM-based systems (e.g., RAG architectures, embeddings, prompt engineering, AI copilots) and awareness of associated risks such as hallucination, bias, prompt injection, and data leakage.
• Strong proficiency in Python and SQL; experience with data science and ML tools such as Spark, scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch. Familiarity with software engineering best practices (version control, CI/CD, testing frameworks, Airflow, AWS or cloud platforms) is a plus.
• Knowledge of model risk management frameworks and regulatory guidance (e.g., SR 11-7, OCC 2011-12) and familiarity with emerging AI governance frameworks (e.g., NIST AI RMF) is highly desirable.
• Ability to translate complex quantitative methodologies into clear business insights and effectively challenge first-line model development teams while maintaining strong cross-functional partnerships.
• Demonstrated critical thinking, analytical rigor, and structured problem-solving skills, with the ability to manage multiple priorities and deliver high-quality outputs under tight deadlines.
• Excellent written and verbal communication skills, including experience drafting formal validation reports, executive summaries, and committee-level materials.

AI at Toast

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

Our Total Rewards Philosophy

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

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

As a Senior NetSuite Developer on the BTT Fintech team, you will build and maintain on Toast's ERP platform (NetSuite).   You will be responsible for developing on the NetSuite platform, from internal scripting to extending the platform via APIs and maintaining the same.  You will participate in script development, workflows, configuration changes, testing, troubleshooting, process engineering & creating searches and reports. You’ll also work closely with the Middleware, Billing, Accounting, and Finance teams to ensure the highest level of data accuracy and to maintain and enhance the functionality of various financial systems, helping maximize the organization's benefit.

A day in the life (Responsibilities) 

• Develop and maintain Netsuite platform that includes scripts, workflows, custom records, reports, saved searches, managing user access and permissions, workflows, forms, supporting system upgrades and guide users on NetSuite best practices
• Support new enhancements as well as perform hands-on analysis and debugging of system, integration errors and issues, including recommendations of solutions
• Design, implement, and maintain third-party software connections and integrations to NetSuite to support various business needs
• Partner with product managers on identifying solutions and fine-tuning product requirements to build for the future
• Provide robust solutions to current and future problems with performance and scalability at the forefront
• Monitor end-user usage of systems, track performance, and ensure external integrations comply with governance limits
• Manage end-user request queue and ensure responses and resolutions are provided in a timely manner
• Create technical documentation for existing and new customizations, scripts, workflows, and business processes, and keeping all documentation up to date
• Stay up-to-date with products and modules through research/training and engagements with third parties and system providers
• Partner with NetSuite users and stakeholders, assisting with data analysis, business process mapping, reporting needs, continuous improvement initiatives, change management and support for optimal usage
• Support and manage the change management process, including monthly/quarterly certifications for SOX compliance and evidence gathering
• Participate in code reviews and solution proposals with other NetSuite engineers

What you'll need to thrive (Requirements)

• 4+ years of hands-on experience with NetSuite development, admin and configuration across NetSuite modules (L2C, Revenue Recognition, Procurement, GL, AR, FA, AP), REST, Netsuite WebServices,  and third-party integrations in complex environments
• Expert-level knowledge of scripting, roles, permissions, custom objects, and workflows
• In-depth knowledge of SuiteScript 1.0, 2.0, 2.1 / WebServices, Suiteflow and Suitetalk, OneWorld, SQL, user provisioning, defining roles, analytics, and scheduling scripts.
• Experience with system implementations and working with third-party providers
• Experience and knowledge of supply chain components, such as kits, assemblies, bins, and serial numbers
• Strong data analytics, reporting, and database experience (SQL and NetSuite)
• A strong understanding of business processes and requirements
• Experience with SDF and GIT

Bonus ingredients* (a pinch of salt):

• Familiarity with Zuora RevPro/Salesforce Billing or any other revenue recognition/billing platforms
• NetSuite certifications
• Change management ticketing systems (JIRA)

AI at Toast

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

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

About the role 

The Senior Integration, API & Automation Engineer is a hands-on technical lead role responsible for shaping and executing Rubrik’s enterprise API, integration, and AI‑driven automation strategy.

Broadly, the role will focus on designing, building, and governing secure, scalable APIs and integrations between our core business platforms and third‑party systems (e.g., ERP, HCM, CRM, data platforms), while mentoring engineers and driving best practices across the organization. In addition, this role will help us embed AI capabilities (LLMs, Claude, decisioning services, intelligent workflows) into APIs and business processes to improve reliability, productivity, and insight.

You will work closely with senior business stakeholders, application owners, security, data, and IT teams to define API‑first, AI‑aware integration patterns and standards that deliver robust, secure, real‑time and batch integrations using REST APIs, webhooks, messaging, file‑based interfaces, and AI services.

This role will primarily leverage MuleSoft Anypoint Platform (or similar iPaaS) for API‑led connectivity and sits within the Enterprise Integrations & Intelligent Automations team as a key technical authority.

What you'll do

• Own the API and integration architecture and strategy for assigned domains, defining API‑led patterns (Experience, Process, and System APIs), reference architectures, and standards for how systems integrate across the enterprise.
• Design, build, and evolve RESTful APIs that expose well‑designed resources and operations to internal and external consumers, with clear contracts, documentation, and SLAs.
• Lead implementation of integrations between SaaS and on‑prem applications (e.g., NetSuite, Workday, Salesforce, Snowflake, ServiceNow), Finance, HR, Security, and GTM platforms, ensuring solutions are scalable, secure, resilient, and observable.
• Create data integration strategies for high volumes of data in transit, optimizing for performance, reliability, and cost (e.g., streaming vs. batch, push vs. pull APIs, caching, backoff strategies).
• Define and enforce API governance, including:
• Provide technical leadership to integration and API engineers, including solutioning, design reviews, code reviews, and mentoring of junior and contract engineers.
• Implement and manage REST/SOAP APIs, webhooks, and messaging interfaces from conceptual design through development, performance testing, deployment, and lifecycle management via an API gateway or iPaaS (e.g., MuleSoft Anypoint Platform).
• Architect robust data integrations for both real‑time and scheduled (batch) workloads using APIs, messaging, sFTP, and file‑based exchanges (JSON, XML, CSV), with well‑defined contracts, SLAs, and monitoring.
• Define non‑functional requirements (NFRs) and SLAs for APIs and integrations—availability, latency, throughput, error budgets, RTO/RPO—and ensure designs and implementations meet or exceed them.
• Drive observability and reliability for APIs and integrations by standardizing logging, tracing, metrics, dashboards, and alerting, and by creating operational runbooks for incident response and post‑incident reviews.

AI & Intelligent Automation Responsibilities

• Identify and prioritize AI opportunities within API and integration flows (e.g., data enrichment, anomaly detection, routing, summarization, classification, intent extraction).
• Define safe and governed AI usage within APIs and integrations, including:
• Clear input/output contracts for AI services
• Guardrails (prompt design, validation, constraints)
• Handling of sensitive data (PII/financial/HR data) in prompts and responses
• Monitoring for model performance and drift in production.
• Integrate with AI platforms and services (internal or external), including model APIs, vector stores, and feature stores, using strong API design and security practices.

Stakeholder, Security, and Platform Responsibilities

• Partner with security, compliance, and audit teams to ensure integrations, APIs, and AI services meet security, privacy, and regulatory requirements (e.g., SOX‑sensitive data flows, access control, encryption, audit trails).
• Lead technical discovery and solution design for new API, integration, and AI‑automation initiatives, working with product managers, application owners, and business stakeholders to shape requirements and translate them into well‑defined technical designs.
• Own vendor and platform technical relationships for integration technologies and key SaaS systems; understand vendor APIs and change roadmaps, anticipate the impact of deprecations, and coordinate upgrades and migrations.
• Oversee CI/CD practices for APIs, integrations, and AI services, including branching and release strategies, automated testing (unit, integration, regression), and environment configuration management for Dev/QA/UAT/Prod.
• Champion reuse and standardization by building and curating shared assets such as:
• Generic APIs (e.g., email, JIRA, logging, AI utility services)
• Common connectors and API client libraries
• Templates and integration catalogs
  and ensuring they are adopted broadly.
• Participate in and improve KTLO/on‑call rotations for critical APIs, integrations, and AI services, using incident data to drive structural improvements, technical debt reduction, and increased reliability.
• Communicate clearly with technical and non‑technical audiences, producing architecture diagrams, decision records, and documentation that make complex API, integration, and AI solutions easy to understand, operate, and evolve.

Experience you'll need

• Education & Experience

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
  • 10+ years of overall software/integration engineering experience, with 8+ years focused on API and enterprise integrations.
  • 4+ years in a senior/lead/architect capacity, owning API and integration designs, patterns, and technical decisions for complex cross‑system and enterprise application solutions.
  • Experience designing and delivering AI‑enabled features or workflows as part of production systems (e.g., integrating with LLM or ML APIs, AI‑based decisioning, or intelligent automation).

Technical Skills – API Engineering

• Deep expertise in RESTful API design and implementation, including:
• Resource modeling, URI design, and standard HTTP methods
• API‑first/contract‑first design (RAML/OpenAPI)
• Pagination, filtering, sorting, and partial responses
• Versioning strategies (URL, header, content negotiation)
• Idempotency and robust error handling patterns.
• Strong experience building secure, resilient, and scalable APIs, including:
• API gateways (e.g., MuleSoft, Apigee, Kong, AWS API Gateway)
• Rate limiting, throttling, caching, and circuit‑breaker patterns
• Timeout, retry, and backoff strategies.
• Solid understanding of webhooks and event‑driven APIs, including subscription management, signature validation, replay protection, and idempotent consumers.
• Hands-on experience with API client development and integration patterns (SDKs, service‑to‑service communication, backend‑for‑frontend, composite APIs).

Technical Skills – Integration & Platforms

• Strong experience with MuleSoft Anypoint Platform (or equivalent iPaaS), including API Manager, Runtime Manager/CloudHub, Anypoint Exchange, and design/deployment best practices.
• Solid understanding of SOAP services, messaging patterns (pub/sub, event‑driven integrations), and when to apply each.
• Proficiency with integration data formats and transformation (JSON, XML, CSV, mapping, enrichment, aggregation, canonical models).
• Strong database and data modeling skills, including SQL and working with relational databases (e.g., Postgres, SQL Server, Oracle) in integration scenarios.
• Experience designing and implementing secure integrations, including:
• OAuth 2.0/OpenID Connect
• API keys and mutual TLS
• Role/permission models and fine‑grained authorization
• Secrets management (e.g., HashiCorp Vault, cloud KMS).
• Hands‑on experience with CI/CD pipelines and Git‑based workflows, including automated testing, static analysis, deployment automation, and environment configuration for API and integration services.
• Demonstrated experience integrating with several of the following: NetSuite, Workday, Salesforce, Snowflake, ServiceNow, Coupa, DocuSign, ChromeRiver, Marketo, identity/IAM platforms, external APIs, and internal APIs.
• Practical experience working with AI/ML or LLM APIs (e.g., OpenAI, Azure OpenAI, Vertex AI, Bedrock, or internal model APIs), including:
• Designing API requests and responses for AI‑backed features
• Prompt engineering and response validation
• Handling rate limits, retries, timeouts, and partial failures within integration flows.
• Familiarity with event‑driven and streaming architectures (e.g., Kafka, EventBridge, Event Hubs) and how to combine them with AI services for near real‑time decisioning and automation.

Soft Skills

• Proven ability to lead without direct authority, influencing cross‑functional teams and driving technical decisions through clarity and data rather than hierarchy.
• Strong architectural thinking and problem‑solving skills, including the ability to decompose complex business processes into robust API, integration, and AI‑enabled designs.
• Excellent communication and documentation skills, comfortable presenting solutions and trade‑offs to engineers, managers, and senior business stakeholders.
• Experience working in agile environments, collaborating closely with product owners, scrum teams, and distributed stakeholders across time zones.
• Bias toward automation, standardization, and continuous improvement, with a pragmatic approach to balancing speed, risk, and long‑term maintainability.

Preferred Qualifications

• Professional MuleSoft certifications (e.g., MuleSoft Certified Integration Architect, MuleSoft Certified Developer) or equivalent certifications from other integration platforms.
• Experience designing and operating public or partner-facing APIs with clear productization (API lifecycle, developer experience, SLAs, and commercial considerations).
• Experience designing and operating integrations in regulated or security‑sensitive environments (e.g., SOX, FedRAMP, customer‑facing APIs) with a strong emphasis on auditability and change control.
• Experience with event‑driven and streaming platforms (e.g., Kafka, AWS EventBridge, Azure Event Hubs) and their role in modern API and integration architectures.
• Exposure to automation/workflow platforms (e.g., Zapier, Workato, low‑code tools) and how they complement enterprise integration layers and AI‑based automation.
• Experience building and maintaining API and integration runbooks, catalogs, and governance processes, and contributing to enterprise architecture forums or design reviews.
• Experience with observability stacks (e.g., Datadog, Splunk, New Relic, OpenTelemetry) for monitoring APIs, integrations, and AI services in production.
• Familiarity with data and AI governance concepts (e.g., data classification, lineage, model governance, responsible AI practices) and how they apply within API, integration, and automation patterns.

We’re seeking a Senior Application Security Engineer to help strengthen Zeta’s application and platform security posture. You’ll play a critical role in embedding security throughout the software development lifecycle, ensuring our systems, applications, and AI-driven platforms are built securely from the ground up.

Zeta operates at massive scale, powering billions of consumer profiles and petabytes of data across real-time, AI-powered marketing platforms. In this role, you’ll collaborate with engineering and product teams to identify risks, implement secure design principles, and build automated controls that enable secure innovation.

This position offers significant technical scope, cross-functional visibility, and opportunities to contribute directly to the company’s overall security maturity.

Key Responsibilities:

Threat Modeling & Security Validation

• Conduct threat modeling and security reviews for distributed cloud-native systems.
• Perform security code reviews, static/dynamic analysis (SAST/DAST), and dependency scanning.
• Participate in incident response exercises and red/blue team simulations.
• Assess third-party libraries, APIs, and vendor integrations for security compliance.

Embedding Security into the SDLC

• Partner with developers and QA engineers to embed security testing into CI/CD pipelines.
• Review architecture and design documents to identify and mitigate risks early.
• Contribute to security automation initiatives and tooling to improve developer velocity.
• Support security checkpoints in release and deployment processes.

Emerging Threat Monitoring & Proactive Defense

• Stay current on evolving security risks, frameworks, and attack vectors, including AI/ML-specific threats (e.g., prompt injection, model poisoning).
• Assist in designing and deploying proactive defense mechanisms across applications and data platforms.
• Support investigations and post-incident reviews to strengthen detection and prevention capabilities.

Security Awareness & Policy Implementation

• Advocate secure coding and best practices through code reviews, workshops, and documentation.
• Contribute to internal security standards and playbooks.
• Collaborate closely with Engineering, DevOps, and Product teams to foster a security-first culture.

What You Need to Succeed

• Bachelor’s degree in computer science, Cybersecurity, or related field, or equivalent experience.
• 2 - 4 years of experience in Application Security, DevSecOps, or Secure Software Development.
• Strong understanding of OWASP Top 10, SANS CWE Top 25, and general application threat modeling.
• Experience with frameworks and architectures such as React, Node.js, Django, or FastAPI.
• Knowledge of securing APIs, microservices, and authentication mechanisms (OAuth2, OIDC, JWT).
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Working knowledge of security testing tools (e.g., Semgrep, SonarQube, Burp Suite, Zap, Trivy).
• Solid collaboration and communication skills with cross-functional teams.

Nice to Have

• Familiarity with AI/ML security concepts such as data poisoning, adversarial testing, and model integrity.
• Experience with automation frameworks and scripting for security testing.
• Relevant certifications (e.g., OSCP, GWAPT, CSSLP, or ML/AI-specific security certifications)

WHO WE ARE

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

Greetings From Zeta Global !!

Zeta Marketing Platform (ZMP) is a machine learning/AI powered customer acquisition and CRM multi-tenant platform. The backend developer will work on server-side APIs and services that enable a highly distributed event pipeline and a stack that gets tens of thousands of messages per second.

As a senior member of the Software Engineering team, you will join the group responsible for designing, developing, and owning the distributed systems CRM platform for Zeta. You will collaborate with your fellow Engineers and Product Managers to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment.

You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and be passionate about working with high-throughput systems where the issues of throughput, performance, redundancy, and concurrency are paramount.

Key Responsibilities:

As a Senior Software Developer, you will be:

• Responsible for independently and cooperatively understanding business requirements, designing, and implementing core components for real-world marketing automation platform.
• Designing, implementing application code to satisfy product requirements
• Ensuring high product quality through rigorous code reviews and unit tests
• Fixing bugs and implementing enhancements
• Taking ownership of a significant product component in design and implementation

Requirements:

• We are looking for exceptional talent with superior academic credentials and a solid foundation in computer sciences and distributed systems design and development.
• The candidate will have had at least 4 years of experience developing scalable, robust software platforms using Java/Ruby/Python or an equivalent language.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• Strong communication skills in a large-distributed development team environment are essential.

Qualification:

• BS or MS in Computer Science or related field
• 5+ years of working experience with Python, Ruby and/or J2EE technology or equivalent OO paradigm
• Strong knowledge and experience with Kafka, Elastic Search, NoSQL databases such as Aerospike, Thrift, CI, and AWS.
• Experience working with container-based solutions is a plus.
• Experience working in a fast-paced technology environment.
• Strong object-oriented programming and design skills.
• Excellent problem solving, critical thinking, and communication skills.
• Ability and desire to learn new skills and take on new tasks.

Company Summary

Zeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

Greetings From Zeta Global !!

Requirements:

• Education:
• B.S. or M.S. in Computer Science or a related field.

• Experience:
• 8+ years of experience with UI Automation tools such as Selenium, and API automation works.
• 5+ years of experience working with Python and/or J2EE technology or equivalent OO paradigm.
• Experience with automating test validation either via API or through databases using Snowflake, HIVE, or AWS Athena is highly desirable.
• Web application testing experience required both in frontend and backend validations.
• Experience working in a fast-paced technology environment.

• Technical Skills:
• Knowledge and experience with Robot Framework and its libraries using Python.
• Strong proficiency in Python programming.
• Knowledgeable in Git workflows like branching, merging, and conflict resolution.
• Solid understanding of SDLC and Agile testing methodologies.
• Experience with Atlassian tools such as Jira and Confluence preferred.
• Knowledge and experience with Kafka, Elasticsearch, and SQL/NoSQL databases such as Aerospike, Thrift, CI, and AWS is highly desirable.
• Knowledge of other test automation frameworks such as Selenium, Appium, or Cucumber is a plus.
• Experience working with container-based solutions is a plus.

• Soft Skills:
• Strong communication and interpersonal skills.
• Excellent problem-solving, critical thinking, and analytical skills.
• Ability and desire to learn new skills and take on new tasks.

Responsibilities:

• Testing and Automation:
• Perform automated tests covering both frontend/UI and backend/API tests, analyze results, and report defects.
• Continuously improve the test automation strategy to enhance test coverage and efficiency.
• Proactively involve in the development of automation frameworks to satisfy business requirements as well as improve the performance and usability of the framework.
• Automate tests to ensure functional requirements and performance KPIs are met.
• Ensure high product quality through rigorous functional and API level tests.

• Collaboration and Mentorship:
• Understand business requirements independently and cooperatively.
• Mentor and guide other QA engineers on best practices in test automation.
• Collaborate with cross-functional teams to integrate automated tests into the CI/CD pipeline.

• Development and Documentation:
• Architect, design, and implement a reliable and scalable automation framework for a real-world machine learning platform.
• Develop comprehensive test plans covering business use cases and test cases.
• Identify, record, document thoroughly, and track bugs.
• Perform thorough regression testing when bugs are resolved.

Company Summary

 Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/19/amazon-partners-with-zeta-global-to-deliver-gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken-conference.html

https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

Zeta Marketing Platform (ZMP) is a machine learning/AI powered customer acquisition and CRM multi-tenant platform. The backend developer will work on server-side APIs and services that enable a highly distributed event pipeline and a stack that gets tens of thousands of messages per second.

As a senior member of the Software Engineering team, you will join the group responsible for designing, developing, and owning the distributed systems CRI 1 platform for Zeta. You will collaborate with your fellow Engineers and Product managers to develop a roadmap and subsequent projects to build the next generation comprehensive, multichannel marketing solution that unifies and unlocks data across digital touch points, driving return on marketing investment.

You should have a deep knowledge of distributed systems and cloud architecture. You will need extensive design and development experience and be passionate about working with high-throughput systems where the issues of throughput, performance, redundancy, and concurrency are paramount.

 Key Responsibilities:

 As a Senior Software Developer, you will be:

• Responsible for independently and cooperatively understanding business requirements, designing, and implementing core components for real-world marketing automation platform.
• Designing, implementing application code to satisfy product requirements
• Ensuring high product quality through rigorous code reviews and unit tests
• Fixing bugs and implementing enhancements
• Taking ownership of a significant product component in design and implementation

Requirements:

• We are looking for exceptional talent with superior academic credentials and a solid foundation in computer sciences and distributed systems design and development.
• The candidate will have at least 4 years of experience developing scalable, robust sohware platforms using Java/Ruby/Python or an equivalent language.
• An undergraduate degree in Computer Science (or a related field) from a university where the primary language of instruction is English is strongly desired.
• Strong communication skills in a large-distributed development team environment are essential.
• Experience in Advertising Attribution domain is a plus

Requirements:

• BS or MS in Computer Science or related field
• 4 - 8 years of working experience with J2EE technology, Python or equivalent OO paradigm
• Strong knowledge and experience with Kafka, Elastic Search, Airflow, NoSQL databases such as Aerospike,Thrift, Cl, and AWS.
• Experience with SQL languages
• Experience working with container-based solutions is a plus.
• Experience working in a fast-paced technology environment.
• Strong object-oriented programming and design skills.
• Excellent problem solving, critical thinking, and communication skills.
• Ability and desire to learn new skills and take on new tasks.

 Company Profile:

Zeta Global is a NYSE listed data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Our technology runs on the Zeta Marketing Platform, which powers ‘end to end’ marketing programs for some of the world’s leading brands. With expertise encompassing all digital marketing channels – Email, Display, Social, Search and Mobile – Zeta orchestrates acquisition and engagement programs that deliver results that are scalable, repeatable and sustainable.

Zeta Global is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, gender, ancestry, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Zeta Global Recognized in Enterprise Marketing Software and Cross-Channel Campaign Management Reports by Independent Research Firm

https://www.forbes.com/sites/shelleykohan/2024/06/19/amazon-partners-with-zeta-global-to-deliver-gen-ai-marketing-automation/

https://www.cnbc.com/video/2024/05/06/zeta-global-ceo-david-steinberg-talks-ai-in-focus-at-milken-conference.html

https://www.businesswire.com/news/home/20240904622808/en/Zeta-Increases-3Q%E2%80%9924-Guidance

https://www.prnewswire.com/news-releases/zeta-global-opens-ai--data-labs-in-san-francisco-and-nyc-300945353.html

https://www.prnewswire.com/news-releases/zeta-global-recognized-in-enterprise-marketing-software-and-cross-channel-campaign-management-reports-by-independent-research-firm-300938241.html

We invite you to explore this opportunity to be a part of the Zeta family……

Should you need any assistance or require further information, please do not hesitate to contact us.

Who we are

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest growing company in Africa.
Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit, and business management tools to help them succeed. Moniepoint processed $182 billion in 2023 and currently processes most of the POS transactions in Nigeria.

About the role

Engineering at Moniepoint is an inspired, customer-focused community, dedicated to crafting solutions that redefine our industry. Our infrastructure runs on some of the cool tools that excite infrastructure engineers.  We also make business decisions based on the large stream of data we receive daily, so we work daily with big data, perform data analytics and build models to make sense of the noise and give our customers the best experience. 

Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.

Location: Remote

Full time

Job Summary

The Senior Front-end Engineer is required to produce and implement functional software solutions for web clients. You will be using the react js application framework. 

Experience with these frameworks is an added advantage but you can apply if you have experience with similar J.S frameworks. You will work with the Enterprise Architect to define software requirements and take the lead on operational and technical projects. 

In this role, you should be able to work independently with little supervision. You should have excellent organization and problem-solving skills. You are also required to have hands-on experience in software development and agile methodologies. Your primary goal will be to develop high-quality software that is aligned with user needs and business goals.

What you’ll get to do

• Develop high-quality software design and architecture
• Identify, prioritize, and execute tasks in the software development life cycle
• Develop tools and applications by producing clean, efficient code
• Automate tasks through appropriate tools and scripting
• Review and debug code
• Perform validation and verification testing
• Collaborate with internal teams and vendors to fix and improve products
• Document development phases and monitor systems
• Ensure software is up-to-date with the latest technology

To succeed in this role, you should have

• At least 5 years of proven experience as a Software Engineer
• 5 years of experience with Javascript and React 
• Experience in software development, scripting, and project management
• Experience using system monitoring tools (e.g. New Relic) and automated testing frameworks
• Familiarity with various operating systems (Linux, Mac OS, Windows)
• Analytical mind with a problem-solving aptitude
• Ability to work independently
• Excellent organizational and leadership skills
• Minimum of a BS in computer science or related skills

What we can offer you

• Culture -We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, plus other benefits.

What to expect in the hiring process

• A preliminary phone call with the recruiter
• Technical Assessment 
• A technical interview with a Lead in our Engineering Team
• A behavioural and technical interview with a member of the Executive team. 

Moniepoint is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

Job Description: Transaction Monitoring Associate

Position Title: Transaction Monitoring Associate
Location: Bangalore, India
Department: Compliance

Who we are 

FalconX is a digital assets prime brokerage platform. We are redefining digital assets prime brokerage from the ground up. We are backed by some of the best investors in the world including Accel, American Express, GIC, B Capital, Coinbase Ventures, Fidelity, Flybridge, Lightspeed and Tiger Global. 

We deliver institutional digital asset customers best-in-class trading, credit, custody and structured products. We trade, lend and secure tens of billions of dollars monthly, are highly profitable, and growing fast, so we need your help! 

We are data-driven. Whether it's a growth or product decision, we believe data can always help us make more precise and informed choices. 

We move fast. Speed of execution is essential for any startup, but we believe this is even more pertinent in our 24/7 industry. 

We prioritize learning. Outcomes are mission-critical, but we also believe that learning in success and in failure will drive our continued success. Our industry is emergent - there’s no shortage of experiments to get involved with and to continue growing and learning together. 

FalconX has offices in the USA - San Mateo New York, India - Bengaluru, Malta, Hong Kong, Singapore and London. 

Who is on the team? 

We are entrepreneurs. Many in our company have been founders or have aspirations to eventually start their own company. We take these ambitions and experiences to bring a solutions-oriented mindset to the problems we encounter day-to-day. 

We are experienced. We have been fortunate to have learned from mentors and peers at institutions such as Google, LinkedIn, JUMP Trading, Citadel, PEAK6 Investments, Goldman Sachs, J.P. Morgan, Harvard Business School, Carnegie Mellon, IIT + more.

Impact 

At FalconX, you’ll help make global digital assets a successful asset class in the most compliant way. Some of the largest financial institutions from Wall Street to Silicon Valley and around the world will turn to us for the best market prices and insights on the crypto industry. You will understand the key money laundering risks within the global digital assets industry and assist in putting key risk mitigation controls in place. As a key member of the APAC compliance team and key contributor to the global AML program, you will learn and grow our company’s values which define our culture and drive day to day behaviors and decision making. 

Position Summary:

The Transaction Monitoring Associate is responsible for the day-to-day monitoring of customer transactions across both fiat and cryptocurrency assets to detect and prevent illicit financial activities. This role involves identifying suspicious patterns, investigating alerts generated by transaction monitoring systems, and ensuring compliance with AML, CTF, and sanctions regulations. The associate will utilize blockchain analytics tools to trace digital asset flows, perform comprehensive reviews of transaction activity, and maintain detailed records of investigations while collaborating with regional compliance teams and external vendors.

Key Responsibilities:

• Alert Investigation: Investigate alerts generated by both on-chain and off-chain transaction monitoring systems.
• Blockchain Analytics: Utilize blockchain analytics tools such as Chainalysis, Elliptic, and TRM Labs to trace digital asset flows and identify suspicious patterns and exposure to illicit typologies.
• Comprehensive Review: Perform daily, real-time, and retrospective comprehensive reviews of transaction activity and customer KYC information.
• Trend Identification: Identify emerging financial crime trends and "red flag" indicators.
• Quality Control: Focus on quality control and process improvement.
• Documentation and Communication: Maintain comprehensive records of investigations and effectively communicate relevant findings.
• Collaboration: Work collaboratively with regional compliance teams, business units, and external vendors to ensure effective monitoring coverage.

Qualifications:

• Education: Bachelor’s degree in Finance, Economics, Business Administration, or a related field. Advanced degree preferred.
• Experience: 2 to 5 years of experience in an AML transaction monitoring role within a financial services firm, regulatory organization, or legal/consulting firm.
• Technical Skills: Proficiency in using blockchain monitoring and analytics tools.
• Knowledge: Strong understanding of blockchain transactions and associated risks. Deep understanding of AML, CTF, and sanctions regulations, with awareness of global variations in compliance requirements.
• Analytical Skills: Exceptional investigative, analytical, and problem-solving skills with the ability to interpret complex data and identify trends. Demonstrates decisiveness and confidence in making final determinations, ensuring that escalations are reserved for truly ambiguous or high-risk situations.
• Communication Skills: Excellent written and verbal communication skills with the ability to present findings clearly and concisely.
• Attention to Detail: High level of accuracy and attention to detail.

Certifications: Relevant certifications are a plus and demonstrate a commitment to professional development in the field.

As a Senior Software Development in Test Engineer, you will be tasked with full responsibility for the design, implementation, and maintenance of Automated tests using object-oriented frameworks and AI. We're looking for a new team member who is versatile and knows exactly how to improve processes and make them more efficient to make sure we have a winning product. The ideal candidate has a strong technical background in software automation development, sees the big picture and has the “can do” attitude. Primary responsibilities include:

What Will You Do?

Primary responsibilities include:

• Design, develop (Python//TypeScript) and implement automation tests in all components of SentinelOne products with main focus on our SAAS platform and its EndPoint Protection services
• Testing the quality of SentinelOne EPP/EDR solutions
• Triage and automate the triaging of test execution results
• Ensure coverage on critical components and close any test gaps that have been identified
• Work closely with other automation engineers, developers and product managers to ensure high quality products

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Proven experience in automation development testing multi-layered products 
• Previous experience in testing SAAS products (cloud based) 
• Experience with Python using Pytest framework
• Experience with Dockers
• Ability to reproduce issues and work closely with development to resolve them
• Debugging skills and ability to investigate and triage difficult problems
• Experience in SW validation methodologies and concepts, testing and integration
• Strong self-management capabilities: proactive, initiative, self-learner, team player

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Flexible working hours and hybrid/remote work model.
• Flexible Time Off.
• Flexible Paid Sick Days.
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) 
• Generous employee stock plan in the form of RSUs (restricted stock units)
• On top of RSUs, you can benefit from our attractive ESPP (employee stock purchase plan)
• Gym membership/sports gears by Cultfit.
• Wellness Coach app, with 3,000+ on-demand sessions, daily interactive classes, audiobooks, and unlimited private coaching. 
• Private medical insurance plan for you and your family.
• Life Insurance covered by S1 (for employees)
• Telemedical app consultation (Practo)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• High-end MacBook or Windows laptop.
• Home-office-setup allowances (one time) and maintenance allowance. 
• Internet allowances.
• Provident Fund and Gratuity (as per govt clause)
• NPS contribution (Employee contribution)
• Half yearly bonus program depending on the individual and company performance.
• Above standard referral bonus as per policy.

As a Software Development in Test Engineer, you will be tasked with full responsibility for the design, implementation, and maintenance of Automated tests using object-oriented frameworks and AI. We're looking for a new team member who is versatile and knows exactly how to improve processes and make them more efficient to make sure we have a winning product. The ideal candidate has a strong technical background in software automation development, sees the big picture and has the “can do” attitude.

What Will You Do?

Primary responsibilities include:

• Design, develop (Python//TypeScript) and implement automation tests in all components of SentinelOne products with main focus on our SAAS platform and its EndPoint Protection services
• Testing the quality of SentinelOne EPP/EDR solutions
• Triage and automate the triaging of test execution results
• Ensure coverage on critical components and close any test gaps that have been identified
• Work closely with other automation engineers, developers and product managers to ensure high quality products

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Proven experience in automation development testing multi-layered products 
• Previous experience in testing SAAS products (cloud based) 
• Experience with Python using Pytest framework
• Experience with Dockers
• Ability to reproduce issues and work closely with development to resolve them
• Debugging skills and ability to investigate and triage difficult problems
• Experience in SW validation methodologies and concepts, testing and integration
• Strong self-management capabilities: proactive, initiative, self-learner, team player

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Flexible working hours and hybrid/remote work model.
• Flexible Time Off.
• Flexible Paid Sick Days.
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) 
• Generous employee stock plan in the form of RSUs (restricted stock units)
• On top of RSUs, you can benefit from our attractive ESPP (employee stock purchase plan)
• Gym membership/sports gears by Cultfit.
• Wellness Coach app, with 3,000+ on-demand sessions, daily interactive classes, audiobooks, and unlimited private coaching. 
• Private medical insurance plan for you and your family.
• Life Insurance covered by S1 (for employees)
• Telemedical app consultation (Practo)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• High-end MacBook or Windows laptop.
• Home-office-setup allowances (one time) and maintenance allowance. 
• Internet allowances.
• Provident Fund and Gratuity (as per govt clause)
• NPS contribution (Employee contribution)
• Half yearly bonus program depending on the individual and company performance.
• Above standard referral bonus as per policy.

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

What’s the InMobi family like? 

Featured among the “Great Places to Work” in India, China and other geographies since 2017, our Culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion. 

What is expected from you?

We are seeking a passionate and experienced Senior HR Partner for our Technology and Product teams.

This role offers one an exciting opportunity to understand business goals and closely work with the Tech/Product teams on differentiated Talent strategy and operations, keeping Tech-first ethos at the core. As a People team, we are at an exciting point where we re-thinking about how we will own (beyond enabling!) some of the key aspects of organizational health including org design, talent quality and engagement. So, room for immense creativity while we run the operations smoothly.

As a Senior HR Partner, you will play a pivotal role in shaping high-performing teams—the foundation of a winning organization. You will partner closely with business leaders to understand their goals and priorities and implement impactful solutions towards building a winning team, in alignment with People team priorities.

Equally, you will focus on enhancing people experiences, rooted in our People Philosophy- helping every individual rise to their full potential while fostering a sense of purpose and pride.

Through this dual focus—business impact and people experience—you will help build an environment where our people and organization thrive together.

What you will be doing?

• Collaborate with Tech/Product leadership to understand business goals and align on the priorities that will strengthen talent density, team effectiveness and culture. Coach leaders on organizational effectiveness, talent strategies, and team development.
• Contribute towards developing organization models and workforce plans that enable scalable growth in an efficient way. Contribute to future-ready organizational structures aligned with business strategy and AI-first vision.
• In partnership with the relevant teams, lead and deliver key talent and culture programs, including leadership assimilation, capability building, new hire orientation, performance cycles, recognition, and cultural celebrations. Partner with Talent Development (HR COE) to implement talent strategies for the assigned unit.
• Ensure seamless implementation of cyclical HR processes and initiatives in collaboration with COE teams. 
• Regular conduct connects with employees and leverage survey findings to identify opportunities to strengthen employee experience and engagement. 
• Leverage people analytics and judgement to spot key trends or anticipate issues/ opportunities and data driven decisions and actions.
• Ensure accuracy, integrity, and compliance of people data across HR systems to enable reliable reporting and planning.

What do you bring?

• Preferably Masters degree in Business Administration with specialization in HR or Psychology, or related field.
• About 10 years of progressive HR experience in business partnering and CoE roles, ideally supporting tech/product teams in  fast paced environments.
• Good business acumen with the experience of partnering with leaders on People priorities which is aligned with the Talent strategy to meet team/business goals. Key priorities include talent density, workforce planning and high performance team culture.
• Have experience of implementing high impact projects end to end. As the HR partner, have successfully conceived and developed relevant programs in areas spanning employee engagement, team effectiveness and talent development.
• Good critical thinking and problem solving skills.
• Good communication skills with the ability to drive clarity and influence for excellence.
• Adept at people analytics to conduct variety of analysis and identify trends, anticipate challenges, and drive data driven decisions. 
• Good collaboration and interpersonal skills, with the ability to develop trust based relationships.

THE ROLE

We're looking for a Technical Instructor who is customer-obsessed and driven to innovate as we build and transform how we educate and develop employees, customers, and partners. The right candidate is creative, not afraid to roll-up sleeves, and has demonstrated a drive to solve real customer problems and revolutionize the way people build skills and capabilities. This individual will need to have superb presentation and facilitation skills, highly organized, and have what it takes to challenge status-quo. With this career opportunity, you will leverage your skills and experiences in learning and development to help deliver education solutions that yield incredible results. This individual contributor role will report into the Performance, Education & Knowledge Team as part of the global Customer Experience organization comprising Technical Services and Professional Services

WHAT YOU'LL DO

• Deliver technical training to employees, partners, and customers in APJ to provide them with skills and tools designed to get them further and faster with Pure technology
• Bring a creative approach to learning and teaching
• Learn new subjects and technologies with minimum supervision at a rapid pace
• Teach a variety of classes and events including in-person and virtual instructor-led
• Assist in development and updates of technical courseware
• Collaborate with content creators across the company to identify the best content possible to accelerate the success of the audience
• Leverage deep knowledge of storage and networks, while also exercising ability to stay current with rapidly evolving enhancements in the product, go to market strategy, and industry activities
• Partner with divisional stakeholders and L&D team members in a consultative manner to continuously align learning solutions with development needs 
• Prepares pragmatic and cost effective recommendations taking into consideration who (target audience), how (classroom/eLearning), when (business critical) and where (required travel) education is delivered
• Demonstrates a basic understanding and use of instructional design process methodology, including analysis of the audience, job tasks, design documents, storyboards, assessment strategy and learning activities
• Collaborates with other L&D team members and vendors closely to develop and deliver solutions
• Collects, analyzes, and action feedback to facilitate continuous improvement
• Monitors and reports the effectiveness of education and solutions
• Effectively communicates with team members, business partners, and key stakeholders on any learning initiative and recommendation

We are primarily an in-office environment and therefore, you will be expected to work from the Bengaluru office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• BS degree or equivalent practical experience
• Minimum 5 years experience of technical training and/or content development experience in a storage and/or networking topics
• Ability to successfully train non-English speaking participants with the help of a translator as needed
• Proficiency with Linux OS and CLI
• Knowledge of hardware and hardware configuration
• Technical understanding of foundational technologies like fibre channel, iSCSI, networking etc.
• Experience or working knowledge of technologies such operating systems (Solaris, Linux, Windows, VMware), LANs & WANs, and storage area networks is a strong plus
• Knowledge of SSD and Flash SAN/NAS storage is a strong plus
• Expert presentation and facilitation skills including white-boarding and utilizing various facilitation techniques to engage learners
• Experience with delivering webinars and virtual instructor-led trainings
• Content development skills
• Experience architecting lab scenarios 
• Previous experience working in a technical support and/or customer support organization is a strong plus
• Ability to work independently, but also able to collaborate with others with a positive attitude
• Entrepreneurial attitude and desire to try new methods, tools, and processes to improve learning experiences
• Significant experience working where customer satisfaction is paramount in a service delivery care environment
• Japanese speaking preferred/plus

  #LI-ONSITE

About the Opportunity

User Store is the foundational intelligence platform of InMobi Group. The Senior PM in this role will define its long-term strategy, shape how user signals are transformed into AI-ready intelligence, and directly influence how InMobi empowers its partners globally.

At its core, this role is about turning scale into intelligence. InMobi processes billions of real-time signals daily — affinity, context, cross-platform behaviour, and more — and the Senior PM for User Store will own the strategy for converting that raw signal into structured, ML-ready user intelligence that is actionable for advertisers at every stage of the funnel. The PM in this role will have end-to-end ownership of a platform that has direct, measurable impact on group revenue.

The Charter

The Senior PM will define and own the strategy for building a unified, enriched, integrated user intelligence layer that drives the roadmap for how raw user signals are structured, enriched, and made consumable by ML & AI systems and advertiser products at scale. This also includes owning the product vision for how internal teams and external advertisers access and act on that intelligence, working closely with ML and engineering to ensure the platform is aligned with real advertiser needs. Central to this role is a single-minded focus on KPI delivery — measuring success through the quality and revenue impact of audiences and intelligence features generated from the user intelligence layer.

The Senior PM needs to understand how to generate and use high-quality user embeddings and latent space representations that are directly consumable by ML models and downstream advertisers. He/ she will work closely with data science and engineering to ensure the enrichment pipeline is production-grade, privacy-compliant, and built for scale.

What You Will Own

• The multi-year product strategy for the Central User Intelligence Spine across InMobi Group.
• The data enrichment and embedding generation roadmap — from raw signals to ML-consumable intelligence.
• Adoption of User Store across internal InMobi products and external advertiser and publisher integrations.
• Strategic data partnerships and sourcing relationships that expand the signal universe.
• Client-facing presence — representing User Store capabilities in advertiser and DSP conversations independently.
• The AI-native user studio product — vision, roadmap, and go-to-market with internal and external stakeholders.

What We Are Looking For

We are looking for a rare profile: someone with the PM craft to drive strategy and adoption, the data intuition of a seasoned practitioner, and the AI fluency to have a genuine opinion on how embeddings are built and consumed — not just talk about them.

Non-Negotiables

• AI-native mindset — Deep familiarity with how AI and ML systems are actually built. You understand how embeddings are generated, what they represent, and how downstream systems consume them. This role will not be a good fit without this foundation.
• End-to-end ownership — You drive things to completion. You are rigorous, deeply accountable, and do not let initiatives stall between strategy and execution.
• Impact-first prioritisation — You have a strong instinct for what moves the needle and the discipline to say no to everything else.
• Engineer or data scientist at heart — You think in systems and are comfortable going deep in technical discussions. A formal background in engineering or data science is not mandatory but is a strong bonus.
• [Bonus Points] Data platform experience — You have built or owned intelligence stores, data pipelines, or recommendation systems at scale. You think in terms of exposing intelligence, not raw data.

Strong Differentiators

• Experience encoding user behaviour into structured, learnable representations for ML systems — embeddings, vector spaces, affinity graphs, or adaptive learning systems.
• Background in CDP (Customer Data Platforms), user store systems, or large-scale data infrastructure products.
• Familiarity with privacy-preserving architectures: clean rooms, differential privacy, or data governance in regulated environments.
• Experience with recommendation systems — understanding what users like and dislike and translating that into product decisions.
• Comfortable with hands-on data deep-dives: able to look at data cuts quickly, visualise hypotheses, and challenge assumptions in technical discussions.
• Prior experience in ad tech, DSP, or publisher ecosystems is a plus, though not a requirement — strong candidates from adjacent industries such as recommendation systems, data platforms, or consumer tech are encouraged to apply.

Core PM Fundamentals

• 5+ years of product management experience with a track record of shipping complex, cross-functional products.
• Ability to translate ambiguous, long-horizon strategy into a clear roadmap with measurable milestones.
• Strong cross-functional leadership — able to align data science, engineering, and commercial teams without direct authority.
• Executive-level communication: able to represent User Store in leadership reviews and client meetings independently.

Why This Role

• One of the most strategically significant product charters within InMobi Group — the intelligence layer that powers the broader platform.
• Direct, measurable impact on group revenue across the advertiser funnel.
• End-to-end ownership from data strategy to ML interfaces to advertiser-facing products — one of the broadest scope PM roles in the organisation.
• High visibility with InMobi Group leadership and external partners.
• An opportunity to work on problems that sit at the frontier of applied AI in mobile advertising.

What you will be doing?

We are seeking an experienced Manager of Product Marketing to lead our global product marketing initiatives for InMobi's Performance DSP. In this high-impact role, you will develop and execute go-to-market strategies, product positioning, and messaging that distinguish InMobi's Performance DSP in the competitive mobile ad tech landscape. Your focus will be on scaling our messaging globally as you manage product launches, collaborate with cross-functional teams, and create compelling sales and marketing materials. Your contribution will be instrumental in shaping InMobi's demand-side product marketing strategy, driving market leadership, and contributing to our rapid growth.

In this role, you will help position InMobi's Performance DSP as the leading platform for mobile in-app performance advertising. You will provide strategic marketing leadership focusing on key mobile performance areas like App Install campaigns, User Acquisition, Retention & Re-engagement, Events optimization, Creatives, Targeting, and Cross-platform Attribution, all while supporting and shaping the broader product strategy and go-to-market initiatives for our Performance DSP.

The Impact You'll Make

• Develop market positioning, materials, processes, and products that differentiate InMobi's Performance DSP offerings (including sales enablement tools, presentations, case studies, whitepapers, videos, and thought leadership).
• Collaborate with Sales, Marketing, and Product teams to create a consistent and compelling product message that effectively promotes InMobi's Performance DSP.
• Work closely with the sales training team to prepare sellers for client meetings and industry events focused on Performance DSP solutions.
• Incubate alpha and beta Performance DSP products/features from launch to scale for major customers and sales support teams.
• Serve as the liaison between teams to bridge the gap between client feedback and InMobi's Performance DSP product development, enabling adaptations to improve our products and market responsiveness.
• Collaborate cross-functionally to establish KPIs for measuring Performance DSP product success, assess experimental results, and communicate progress to key stakeholders.
• Continuously evaluate and adjust marketing strategies to respond to changing market dynamics and competitive conditions in the mobile in-app advertising landscape.
• Become an expert on our Performance DSP customers through collaboration and market research, defining and determining their needs, experiences, and expectations.
• Refine our Performance DSP positioning through competitive analysis, including win/loss assessments against other mobile advertising and user acquisition platforms.
• Partner with marketing teams (field marketing, design, and digital marketing) to develop comprehensive plans for content, research, demand generation, PR, brand design, and product education across major markets for our Performance DSP.

What are we looking for?

• 8+ years of relevant functional experience in product marketing, business strategy or product strategy, ideally in mobile advertising, app marketing, or user acquisition
• Experience with mobile advertising platforms, app install campaigns, or performance marketing solutions for mobile apps preferred
• Experience working on multiple products at various stages of maturity
• Exceptional communication skills, oral and written
• Strong narrative making and content writing skills - including sales enablement tools, presentations, case studies, whitepapers, customer videos, points of views, and thought leadership
• Strong problem-solving and conceptual thinking skills
• Ability to work cross-functionally across time zones, and in a team and/or matrix environment
• Ability to influence key stakeholders across regions

Why you should join us?

At our core, we believe in the power of data to drive smarter decisions and transform operations. As an Operational Data Scientist, you'll be at the forefront of this mission—leading initiatives that streamline business processes, accelerate time to insight, and align analytics with strategic goals.

You'll work in an environment that values rigor in experimental design, seamless model integration, and impactful operational analytics. We’re not just looking for technical talent—we want a strategic thinker and a collaborative leader who thrives at the intersection of data, business, and execution.

If you're passionate about solving complex problems, influencing high-stakes decisions, and driving measurable outcomes, this is the opportunity to make your mark. Join us and be part of a team that turns data into action—and action into impact.

What will you be doing?

1. Experiment Design and Interpretation:

• Lead and design complex experiments, addressing challenges with statistical rigor.
• Interpret results and provide actionable insights to drive business decisions.

2. Data Engineering Workflow and Design:

• Partner with stakeholders to ensure data systems and structures are efficient and reliable.
• Reduce turnaround time (TAT) for analytics, feature exploration, and experimentation setup

3. Data Science Model Integration:

• Collaborate with data science teams to integrate models into workflows.
• Define success metrics, identify inefficiencies, and leverage model outputs to enhance operations.

4. Proactive and Reactive Analysis:

• Conduct exploratory data analysis, simulations, and hypothesis testing.
• Provide strategic support and actionable insights to address business challenges.

5. Health Metrics Design and Implementation:

• Define, implement, and monitor key performance metrics to assess platform performance and user behavior.

6. Leadership and Collaboration:

• Serve as a liaison between cross-functional teams, advocating for data-driven decisions.
• Mentor analysts and promote a culture of analytics within the organization.

7. Product Impact Tracking:

• Design and implement analyses to monitor product impact.
• Ensure alignment of analytics initiatives with broader business objectives.

What are we looking for?

Skills and Attributes:

• 8–15 years of total professional experience, preferably in Tech, Consulting, or high-scale Analytics organizations.
• 4+ years of people management experience, leading data science, analytics, or operational analytics teams in system-heavy environments.
• Advanced proficiency in SQL and Python — able to drive deep analyses, RCA investigations, and metric instrumentation independently.
• Hands-on experience with Spark or distributed data processing frameworks for scalable analysis.
• Proven ability to design and deploy control systems or feedback loops in collaboration with engineering teams to tune complex algorithms in production.
• Successfully implemented and maintained Data Science models in production, including monitoring and post-deployment tuning.
• Solid foundation in statistical methods, hypothesis testing, and experimental design, especially as applied to system performance and anomaly detection.
• Comfort working with observability and visualization tools — Tableau, Looker, Power BI, or internal metric dashboards like Grafana or Superset.
• Strong record of cross-functional collaboration with engineering, product, SRE, and ML teams to drive system health and platform improvements.
• Demonstrated ability to work through ambiguity, structure diagnostic approaches, and drive data-informed operational decisions.
• Strong strategic and systems thinking mindset — able to reason about interdependent metrics and optimize for system-wide health.

THE ROLE

We are seeking a highly skilled and hands-on Senior Finance Data & Analytics Engineer (IC role) to lead the design and development of the Finance Data Cube, enabling enterprise-wide insights into Customer Lifetime Value (CLTV), Contribution Margin, and other key financial metrics.

WHAT YOU'LL DO

• Design, build, and own the Finance Data Cube, integrating financial, customer, and operational datasets.
• Model data to support CLTV, Contribution Margin, and other profitability KPIs across multiple dimensions (customer, product, LOB, geography, etc.)
• Be a data architect for Finance , bring different data into cohesive and answer critical questions
• Leverage AI tools to automate data summarization, anomaly detection, and narrative insights for Finance stakeholders.
• Scale data infrastructure to support large volumes and complex financial models.
• Build and manage Semantic Layer models to standardize business metrics and enable self-serve analytics
• Translate complex financial concepts and KPIs into scalable, maintainable data models.
• Implement strong controls for data quality, lineage, and governance.
• Maintain clear documentation of data transformations, metric definitions, and AI model logic.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Experience: 8+ years in Finance Data Engineering, FP&A Analytics, or Financial Systems, with exposure to AI/ML-based analytics(added advantage)
• Proficiency with Snowflake and modern data stacks with strong SQl and data modeling expertise 
• Deep understanding of finance data set , SAP , Contribution margin, CLTV would be an added advantage
• Experience with data orchestration tools (Airflow, dbt) and tableau platform
• Hands-on experience with Python, PySpark, or R for automation and model integration.
• Proven ability to translate financial logic into scalable data models.
• Experience in Cortex Analyst/Search components to enable AI/ML-driven insights, natural language querying, and intelligent data discovery is preferred. 
• Knowledge of predictive modeling, time-series forecasting, and generative AI in analytics.
• Ability to evaluate and apply AI responsibly in financial contexts.

 #LI-ONSITE

THE ROLE

From redesigning our customers’ experience with our Modern Data platforms and services, to evolving our own internal tools and ways of working, we are taking deliberate steps to invest and innovate in critical areas to delight our customers and outdistance our competitors. Everpure is looking for Software Engineers who can help drive this digital transformation and set Pure up for continued growth. 

WHAT YOU'LL DO

• Designing and implementing creative new algorithms and technologies for high-performance, highly scalable, and highly reliable systems (think six 9’s);
• Owning and delivering innovation end-to-end, from concept to shipped product;
• Analyzing and solving challenging problems through persistence and insight;
• Working as a team with smart peers who inspire you and who are inspired by you;
• Making customers really happy, because that’s why we do what we do;
• Learning a ton, whether you know a lot, or nothing about system software.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• 6+ years experience using C++, Java, Go or related programming languages  
• Proven design sensibility and the willingness to work in a collaborative, team oriented environment;
• Experience in any number of related systems software projects e.g: Distributed systems, Operating systems, Linux Kernel, file systems, Database internals, Hypervisors, Containers, Compiler Optimization, etc.;
• A BS degree in Computer Science; advanced degrees are a bonus!
• Must be willing and able to work in an open office environment

#LI-ONSITE

THE ROLE

From redesigning our customers’ experience with our Modern Data platforms and services, to evolving our own internal tools and ways of working, we are taking deliberate steps to invest and innovate in critical areas to delight our customers and outdistance our competitors. Everpure is looking for Software Engineers who can help drive this digital transformation and set Pure up for continued growth. 

WHAT YOU'LL DO

• Designing and implementing creative new algorithms and technologies for high-performance, highly scalable, and highly reliable systems (think six 9’s);
• Owning and delivering innovation end-to-end, from concept to shipped product;
• Analyzing and solving challenging problems through persistence and insight;
• Working as a team with smart peers who inspire you and who are inspired by you;
• Making customers really happy, because that’s why we do what we do;
• Learning a ton, whether you know a lot, or nothing about system software.
• We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• 10+ years strong expertise in using C++, Java, Go or related programming languages  
• Proven design sensibility and the willingness to work in a collaborative, team oriented environment;
• Experience in any number of related systems software projects e.g: Distributed systems, Operating systems, Linux Kernel, file systems, Database internals, Hypervisors, Containers, Compiler Optimization, etc.;
• A BS degree in Computer Science; advanced degrees are a bonus!
• Must be willing and able to work in an open office environment

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• Build, manage, and mentor a high‑performing team of machine learning engineers; foster collaboration, support career growth, and invest in continuous skills development.
• Own the delivery and impact of ML initiatives, working closely with cross‑functional partners to ensure measurable business outcomes.
• Lead the design, development, and optimization of ML‑based systems, including techniques such as deep learning and reinforcement learning.
• Drive a culture of scientific and engineering rigor balanced with real‑world pragmatism, with a strong focus on experimentation, evaluation, and quantifying impact on key engagement and business metrics.
• Partner with data engineering, product management, and marketing teams to take ML solutions from conception through experimentation to reliable, timely production deployment.
• Establish India as a strategic ML hub for EarnIn by leading hiring efforts, onboarding, and close partnership with HR and TA on culture building, team health, and local engagement initiatives.

• MS or Ph.D. in Computer Science, Statistics, or a closely related technical field.
• 7+ years of industry experience, including 3+ years of people management experience.
• Strong depth across core machine learning algorithms and applied ML techniques.
• Proven experience building, deploying, and operating production ML systems at scale.
• Advanced proficiency in Python and SQL, with a strong software engineering foundation.
• Excellent written and verbal communication skills, with the ability to influence and collaborate across technical and non‑technical stakeholders.

#LI-Hybrid 

About you

We’re looking for people with a strong background or interest in building successful products or systems; you’re comfortable in dealing with lots of moving pieces; you have exquisite attention to detail; and you’re comfortable learning new technologies and systems.

The Opportunity

We have backend engineers in almost every team across Telnyx, and in that role, you’ll be making some of the most significant decisions for the company. You’ll get to work with other engineers to build delightful features that span various parts of the system, as well as our business, sales, and operations teams to understand and solve our users’ pain points.

• Design, build, and maintain APIs, services, and systems across Telnyx’s engineering teams.
• Debug production issues across services and multiple levels of the stack.
• Work with engineers across the company to build new features at large scale.
• Improve engineering standards, tooling, and processes.

What We're Looking For

• Have 6+ years of professional software development experience with a functional programming language (Elixir/Erlang is preferred).
• Have experience working with relational databases at scale.
• Have deep knowledge of microservice architecture patterns and anti-patterns.
• Have experience with message queues like RabbitMQ and Kafka.
• Understand the challenges inherent in concurrent and distributed programming.
• Have experience with more exotic databases/key-value stores such as ETS, Mnesia, Cassandra and Redis.
• Have familiarity with Docker, Kubernetes, Consul, Jenkins, Prometheus, or RabbitMQ.

Bonus Points For

• You take a thoughtful approach to decision-making, knowing when to move fast and when to long-term optimize.
• You want to work in a fast-paced, product-driven environment.
• You keep up to date with the latest technologies and patterns and enjoy sharing what you’ve learned.

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#LI-KG1

The Team:

As an Applied Value Engineer you push the envelope in solving mission-critical problems for our customers. You will work with our most strategic customers, understand their strategy and key challenges, and build Celonis solutions using cutting-edge AI technologies from market leaders such as Microsoft and OpenAI. With Celonis’ market-leading Process Intelligence (PI) Platform we feed operational context to AI so it understands our customers’ businesses and enables them to industrialize AI unlocking real ROI on AI deployments and at scale. There is no AI without PI. You will prototype these solutions, demonstrate their value to executives, and ensure successful implementation, adoption and value realization to increase Celonis' footprint at those customers.. 

The Role:

As an Applied Value Engineer, responsibilities include translating customers’ objectives into value assessments or proof-of-value projects, building specific Celonis business cases and demos, running value workshops, and engaging with multiple senior stakeholders to deliver value driven results and secure long term partnership agreements. In collaboration with our partners and Celonis Services, you will drive measurable business impact across various processes and industries and accelerate the adoption of our platform. You will blend deep process and industry expertise with a proven consulting skill set with strong analytical skills at the forefront of one of the fastest-growing tech companies worldwide.

The work you’ll do:

• AI Discovery & Solutioning: Understand customers AI strategy and business critical challenges. As Celonis product & domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle
• Identify & Frame Value:
  Discover and translate customers’ strategic priorities into high-impact Celonis use cases
  Build demos and business cases, leveraging industry benchmarks and best practices in order to win new customers 
  Undertake Value Assessments or Proof-of-Value Projects and communicate the value opportunity and strategic roadmap to C-Level executives
• Realize Value:
  Facilitate business value workshops and use Celonis to identify and qualify opportunities for process enhancement
  Derive improvement measures in core business functions and initiate improvement actions and enterprise-wide change initiatives
  Present results and realized value to senior management and C-level executives
• Scale Value:
  Responsible for the end-to-end customer value journey, landing, expanding, adoption and renewing
  Build a strategic expansion roadmap for customers embedding Celonis Process Intelligence as a strategic business transformation platform in their organization and therefore drive adoption and expansion
  Provide feedback to our product development teams to enhance the Celonis platform and Apps based on new use case

The qualifications you need:

• Live for Customer Value: 7+ years of experience in an analytical role with the objective to demonstrate or secure value through business data analysis, business process improvement and respective Software deployment. Ideally in a customer-facing role in Solution Consulting, Sales Engineering or IT/Management Consulting with a Business Software / SaaS Provider or a Consultancy. Alternatively in an Inhouse role (e.g. Center of Excellence for Data Mining / Analytics / Intelligence) within an Enterprise.
  Data, Analytics, Applications & IT: Good knowledge of Business Software / SaaS applications (e.g. SAP/ Oracle),  experience with implementing RPA and/or BI Tools and/or building Dashboards, Apps and Action Flows. Hands-on Experience with Process Mining tools and technologies is preferred. Hands-on SQL experience and Python is preferred . Experience in collaborating with IT teams.
• Process Improvement & Value Realization: Experience in identifying business use cases for business process improvement and deploying improvement measures, being a change agent and training users/process owners to realize value. Domain and industry knowledge such as Supply chain, finance, CPG, BFSI, Manufacturing etc. would be a plus.
• Project Management: Experience in planning and managing project scopes, expectations and timelines. You will manage multiple projects across your aligned accounts that will be at different parts of the value journey. Also, you will leverage partners from the Celonis Ecosystem wherever possible.
• Executive Stakeholder Management: Experience in preparing and communicating (value) roadmaps and results to stakeholders and management, both internally and externally. Excellent communication and presentation skills in English.

About the Role

We're looking for a Senior Software Engineer to join our Core Wireless team, responsible for the design, development, deployment and maintenance of all mobile network infrastructure and associated applications. You'll work at the intersection of software engineering and mobile telecoms, with a particular focus on IoT.

What You'll Do

• Design, build and maintain APIs, services, and systems across Telnyx's Wireless stack
• Debug production issues across services and multiple levels of the stack
• Troubleshoot connectivity issues across roaming partners globally
• Collaborate with engineers across the company to build new features
• Improve engineering standards, tooling, and processes

What We're Looking For

• Strong experience in one or more of: Go, Elixir, or Erlang; C++ in a telecoms context is a plus
• Familiarity with 3GPP specifications and mobile core protocols (e.g. AMF, UPF, SMF or equivalent 4G/5G elements)
• Experience with IoT platforms and mobile network systems and protocols
• Understanding of relational databases and SQL
• Practical skills in automated testing and a passion for robustness
• Strong sense of ownership, innate curiosity, and willingness to learn

Bonus Points

• Experience with IoT/M2M solution design and implementation
• Familiarity with multi-vendor IPX connectivity
• Message queues: RabbitMQ or Kafka
• PostgreSQL or exotic databases/key-value stores (e.g. ETS)
• Docker, Kubernetes, Consul, Jenkins, Prometheus
• Basics of web front-end

#LI-VIETNAM
#LI-KG1
#LI-INDIA

Location: Bangalore

Shift: EST (5:30 P.M IST- 2:30 A.M IST)

What we’re looking for:

 You are an aspiring Business Intelligence, Data & Analytics Professional with 6+ years of experience in supporting the business in delivering high quality strategic and tactical analysis. You will have experience in analyzing complex business problems using data and provide actionable insights to our customer facing teams. You will have experience in identifying and interpreting trends and patterns in datasets to attribute key business drivers. You will have strong knowledge of SQL, CRM (Salesforce), Clari, Excel, Business Intelligence systems such as Tableau and Power BI. If you want to be part of a growing business, have a strong interest in learning and implementing innovative solutions to business challenges, and are passionate about winning, get in touch with us to explore the exciting opportunity at Rubrik. 

Position Overview:

As a Business Analyst you will be given the opportunity to tackle challenges impacting the growth of Rubrik’s growing subscription renewals business. This team is responsible for providing forecast clarity, scoring renewal growth and retention likelihood, customer analytics, and developing retention action plans working closely and partnering with Sales & Renewal Ops.

Key Responsibilities:

• Perform weekly, monthly and quarterly opportunity pipeline analysis, data validation and identify gaps and actions required
• Identify process automation and improvement opportunities and work with cross-functional teams to drive these initiatives
• Communicate regularly on business/team performance, making recommendations based on analysis of key performance areas
• Act on behalf of the leadership (e.g. drive global churn forecasting, identify direct and channel renewal improvements, forecasting mechanics evolution to incorporate customer health insights)
• Support the development and presentation of the business outcomes to stakeholders with a view to assisting them to drive performance in their areas (e.g. churn/upsell attribution etc)
• Provide critical business insights to Customer Success and Sales leadership based on business acumen and data analysis, be able to identify issues, recommend action plans and execute.
• Drive culture of continuous improvement on performance, process, automation, and data accuracy
• Generate regular and ad-hoc business analysis for Renewals and Sales Leadership to monitor performance across a range of key business drivers and Renewals Team performance, including direct and partner renewals
• Compare business performance against defined KPIs to identify trends and share key learnings and drive new operational programs
• Analyze data to determine if the customer is “At-Risk” and ensure early engagement.
• Analyze customer data to reduce the churn and identify the root cause of churn

Basic Qualifications

• 6+ years overall professional experience.
• A Bachelor's Degree focused in an analytically rigorous field of study is preferred, a MBA is a huge plus.
• Self-starter with outstanding problem-solving skills
• Proven track record in juggling through multiple projects and deadlines yet driving them to completion
• Have strong business acumen, excellent collaboration and stellar communication.
• Experience with Data Analytics and Modelling and ability to work with a degree of independence on data analysis.
• Excellent time management skills and ability to manage multiple priorities.
• Knowledge of Rubrik products and services preferable.

Rubrik is one of the fastest growing companies in Silicon Valley, revolutionizing data protection and management in the emerging multi-cloud world. We are the leader in cloud data management, delivering a single platform to manage and protect data in the cloud, at the edge, and on-premises. Enterprises choose Rubrik to simplify backup and recovery, accelerate cloud adoption, enable automation at scale, and secure against cyberthreats. Rubrik has raised over $553 million in venture funding, most recently at a valuation of $3.3 billion. We’ve been recognized as a Forbes Cloud 100 Company two years in a row and as a LinkedIn Top 10 startup. 

Rubrik provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability. In addition to federal law requirements, Rubrik complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

#LI-DR2

About the role:

As a Sr. Manager, Platform & Architecture you will lead the definition, governance & continuous evolution of the enterprise data architecture vision and roadmap, ensuring strong alignment with business strategy and digital transformation goals. This role is accountable for establishing modern, secure, and scalable data platform architectures that enable advanced analytics, AI/ML, generative AI, and self service data capabilities across the organization.

You will provide strategic leadership in embedding AI into the enterprise data platform, enabling use cases such as predictive analytics, intelligent automation, and generative AI, while ensuring responsible AI practices, model governance, data quality, and regulatory compliance.

The role requires deep expertise in data architecture, cloud data platforms, analytics ecosystems, and platform security, combined with strong people and stakeholder management skills. You will guide the evaluation and adoption of emerging technologies, oversee PoC initiatives, and drive the operationalization of AI/ML and GenAI solutions.

Working closely with data engineering, analytics, AI/ML, security, and business leaders, you will ensure the delivery of trusted, high performing, and future ready data and AI platforms that scale with organizational needs.

What you'll do:

Strategic Leadership & Architecture Vision

• Define and own the enterprise data architecture vision and roadmap aligned with business strategy.
• Establish architectural principles, standards, and best practices across data modeling, integration, metadata, and analytics
• Guide architectural decisions to support scalability, performance, security, and future growth.
• Evaluate and approve new data technologies, platforms, and tools

Team Management & Development

• Lead, mentor, and manage data modelers & architects, platform engineers and data engineers
• Set goals, conduct performance reviews, and support career growth and skills development
• Ensure effective workload planning, prioritization, and resource allocation
• Promote a culture of collaboration, documentation, and architectural discipline

Data Platform & Architecture Design

• Design and oversee end to end data architectures, including ingestion, storage, processing, analytics, and consumption layers
• Define scalable patterns for batch, near real time, and streaming data processing
• Establish standards for data platforms, ingestion frameworks, transformation and modeling approaches, and BI/visualization tools
• Ensure platform reliability, performance, scalability, and cost optimization

Platform Engineering, Security & Governance

• Architect platforms with security by design, including IAM, RBAC, data encryption, masking, and auditing
• Collaborate with security and compliance teams to meet regulatory and data privacy requirements
• Define and enforce data governance standards, including metadata management, lineage, data quality, and observability
• Support platform monitoring, availability, and operational excellence

Advanced Analytics & Innovation

• Enable advanced analytics use cases, including forecasting, predictive modeling, and statistical analysis
• Support data science and analytics teams by designing architectures for ML pipelines, feature stores, and model deployment
• Lead Proof of Concept (PoC) initiatives to evaluate new data, analytics, and platform tools
• Assess emerging technologies for scalability, security, integration, and business value

Self-Service & Data Enablement

• Drive the self-service analytics strategy to empower analysts and business users
• Design curated, governed data layers and semantic models for trusted self-service access
• Reduce dependency on IT by enabling reusable data assets and standardized analytics frameworks
• Partner with stakeholders to align data products with business needs

Experience you'll need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
• 10 - 15+ years of experience in data engineering, analytics, or platform architecture roles
• Strong experience designing and implementing modern data architectures and cloud data platforms.
• Hands-on and architectural experience with:
  • Snowflake or similar cloud data warehouse/data lake experience
  • Tableau or similar BI tools
  • Fivetran or equivalent ingestion tools
  • dbt or similar data transformation frameworks
• Proficiency in SQL, Python, Spark, and data modeling techniques.
• Experience with cloud platforms such as AWS, Azure, or GCP

Preferred Qualifications:

• Experience with advanced analytics, forecasting, and predictive modeling.
• Knowledge of ML/AI platforms and MLOps concepts.
• Strong understanding of data security, governance, and compliance frameworks.
• Excellent communication and stakeholder management skills.
• Experience working in large-scale or enterprise Data & Analytics environments.

ABOUT THE TEAM

The Production Engineering team at Rubrik is responsible for ensuring the availability and reliability of mission-critical platforms operating across large-scale, multi-cloud environments. We act as the backbone of operational excellence—owning incident response, outage, observability, and continuous improvement.

The team works in close collaboration with SRE and Engineering teams to proactively identify risks, reduce operational toil, drive outages and build resilient systems. We operate in complex, high-pressure scenarios, applying sound technical judgment while continuously improving through learning, ownership, and accountability.

ABOUT THE ROLE

As a Senior Engineering Manager for Production Engineering, you will lead and grow a high-impact team responsible for maintaining highly available, business-critical services. You will spearhead the technical roadmap, strategy and execution, while serving as a senior escalation point during major incidents.

You will set the vision for the team, while coaching engineers to operate with confidence in high-pressure environments. This role requires strong technical depth, strong decision-making skills, and the ability to collaborate across teams to continuously improve system reliability and operational maturity.

What you’ll do

• Lead Production Engineering team supporting critical infrastructure and services across multi-cloud environments. This role requires you to work in EST timezone (4:00 PM – 1:00 AM IST).
• Own operational excellence for production environments by establishing strong processes, standards, and accountability for availability and reliability.
• Champion a metrics-driven culture of continuous improvement, driving initiatives to improve operational KPIs such as MTTA/MTTR.
• Foster a strong collaborative mindset working closely with leadership to align operational priorities with business goals and reliability targets.
• Develop team members through coaching, mentoring, and career development, while enabling senior contributors to operate at maximum impact.
• Plan and manage on-call rotations, escalation models, and resource availability to ensure sustainable support for mission-critical systems.
• Establish strong execution rigor through sprint planning, prioritization, and accountability, holding teams to high standards of delivery and performance.

Experience you’ll need

• A passionate leader who is obsessed with building technically strong teams and has 12+ years of Software Development experience and 3+ years in Engineering Management roles.
• Experience hiring, building top talent teams.
• Experience in delivering enterprise-quality scalable Distributed Systems with high quality standards.
• Preferred: Experience leading SRE teams to drive operational excellence across large-scale, multi-cloud production environments through strong processes, metrics, and reliability-focused practices.
• Experience building and cultivating strong engineering practices and processes.
• Experience working with cross-geo global engineering teams.
• Have a track record of effectively communicating with stakeholders at all levels.
• Degree in Computer Science or equivalent field.