About Hexnode

Hexnode is a global leader in Unified Endpoint Management (UEM), trusted by over 100 countries and managing millions of devices worldwide. With a rapid pace of innovation, we have established ourselves as a dominant force across Apple, Windows, Android, macOS, Linux, and tvOS. Fuelling the transformation to a seamless ecosystem of connected tools, Hexnode is revolutionizing the enterprise software and cybersecurity landscape.

Role Overview

Hexnode is looking for a Technical Product Manager who thrives at the intersection of OS-level capabilities and scalable software architecture. You won't just be managing a "roadmap"—you will be the architect of the technical logic that powers our UEM and Security modules. Your mission is to translate complex OS protocols (Apple MDM, Android Management API, Windows CSPs) into seamless, high-performance product workflows.

Key Responsibilities

• Technical Workflow Architecture: Design the underlying logic and state machines for complex features like zero-touch enrollment, remote tunneling, and automated patch sequencing. You are responsible for the "if-this-then-that" logic, not the button colors.
• OS Framework Research: Conduct deep-root analysis of OS updates (macOS, Windows, Android, iOS, Linux, visionOS). You must be able to read developer documentation and determine how new system APIs can be leveraged to solve enterprise problems.
• Technical Spec Ownership: Write highly detailed functional specifications. Your documents should define API contracts, data schemas, error-handling logic, and end-user use cases (the “whys”) so clearly that Engineering has zero ambiguity during implementation.
• Feasibility & Scoping: Serve as the "Technical Truth." Work with Engineering to evaluate the trade-offs between different implementation paths, ensuring the solution is scalable and performant.
• System Integrity: Identify edge cases in cross-platform workflows. You need to anticipate how a policy change on a Windows 10 device might behave differently than on Windows 11 and build the logic to handle it.
• Competitive Technical Analysis: Move beyond "feature checklists." Evaluate competitors based on their technical implementation, API coverage, and agent architecture to ensure Hexnode’s technical superiority.

Requirements

• Experience: 4-6 years in Product Management within the B2B SaaS, Cybersecurity, or Systems Management space.
• Technical Literacy: You must be comfortable reading API documentation (REST, SOAP), understanding JSON/XML structures, and grasping how agents/daemons interact with an OS.
• Logical Rigor: Proven ability to map out complex, multi-step technical workflows. You should be able to explain the lifecycle of a packet or a command from the server to the endpoint.
• Problem Solving: A "First Principles" thinker. You don’t just want to know what a feature does; you want to know how the OS executes it.
• Communication: The ability to translate "Engineering-speak" into clear functional requirements for stakeholders, and vice versa.
• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent practical experience in a technical role).

What this role is NOT:

• It is NOT a UI/UX role: While we value clarity, your focus is the logic behind the dashboard, not the pixels on it.
• It is NOT a "People Manager" or Scrum Master role: You won't just be moving JIRA tickets or "coordinating." You are expected to contribute deep technical value to the product's core logic.
• It is NOT high-level strategy only: We need a "builder" mindset. You will spend more time in technical docs than in slide decks.

Role Title: Automation & Solution Architect (GCB 4)

Function: Finance System Operations

Role Description:

Senior technical lead for Finance EUC automation scale-up. Accountable for end-to-end technical delivery across demand intake, requirements analysis, build & test, production deployment and RTB change management. Provides consultative input during opportunity scoping, ensuring solutions are feasible and aligned to IT-governed platforms (e.g., Alteryx/ADM) and established controls/guardrails. Leads technical documentation, testing evidence aligned to agreed closure criteria, and supports controlled releases. Partners with Finance Domain BA, POD Lead and platform support to ensure stable, supportable automation.

Skills / Knowledge / Experience:

• Lead & Design automation for EUC (End User Computing) remediation, using AI workflow automation to reduce operational risk, improve control compliance, and accelerate remediation at scale.
• Act as Solution Architect for the end-to-end remediation across Python & Alteryx / FRAME platform, aligning delivery to risk, control, and technology standards.
• Knowledge of Finance process landscape & core systems
• Identify and prioritize EUC remediation opportunities and translate them into an automation roadmap
• Design and deliver AI-assisted remediation capabilities with prompt engineering
• Build automation pipelines to streamline discovery, assessment, remediation tracking, and evidence generation.
• Define human-in-the-loop operating model for AI outputs (review, approval, exception handling) to ensure accountable decision-making
• Familiarity with Python, IT-managed automation platforms e.g., Alteryx
• Experienced in managing end-to-end Testing lifecycle i.e., Unit Testing, SIT, UAT
• Strong in Stakeholder management
• Agile Scrum Master, SAFe, and Project Manager skills set are desirable

Who We Are

At Platform Science, we’re working to connect everything that moves. Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation. We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity because, no matter our backgrounds, we are one team.

About the Role

The Product Owner (PO) for HOS & Compliance will be the primary functional lead for our development squads in Chennai. You will be responsible for the end-to-end execution of our Electronic Logging Device (ELD) and Driver Vehicle Inspection Report (DVIR) features.

Following the global product strategy, you will translate FMCSA and CCMTA regulatory mandates into actionable technical requirements. You will own the team backlog, define the "Definition of Done," and ensure that every release maintains the highest level of regulatory integrity while providing a seamless experience for drivers and back-office administrators.

Essential Responsibilities

• Backlog Ownership: Lead the grooming and work with Product Management on prioritization for your assigned squad, ensuring the backlog is visible, transparent, and clear.

• User Story Development: Author detailed User Stories and Acceptance Criteria based on North American HOS rules (e.g., Cycle 1/2, Split Sleeper) and DVIR standars (§396.11).

• Sprint Planning: Partner with Engineering Leads to plan sprints that balance new regulatory mandates, technical debt, and UI enhancements.

• Functional Decision Making: Act as the primary point of contact for the engineering team to resolve functional queries and make real-time trade-off decisions.

• Global Alignment: Collaborate closely with North American Product Managers to align local execution with the global product vision.

• Feedback & Iteration: Analyze driver feedback and back-office support tickets to identify friction points in the HOS workflow.

• Release Management: Partner with Product Marketing and Support teams to create internal documentation, release notes, and training materials.

Experience & Qualifications

• Core Experience: 3+ years of experience as a Product Owner or Business Analyst within a highly regulated SaaS environment (e.g., Telematics, FinTech, or HealthTech).

• Technical Fluency: Ability to interpret API documentation and understand data structures (JSON/XML) used for regulatory reporting.

• Agile Expertise: Proven track record of managing backlogs in Jira and leading Scrum ceremonies in a fast-paced environment.

• Collaboration Skills: Ability to handle changing priorities, speak up with new ideas, and lead technical discussions with the technology team.

• Education: Bachelor’s or Master’s degree in Engineering, Computer Science, or a related field (e.g., BE/B.Tech, MCA).

• Preferred Qualifications: * CSPO Certification (Certified Scrum Product Owner).

  • Experience with Android development/deployments or IoT/Hardware integration.

Success Metrics for the First 90 Days

• First 30 Days: Complete a deep-dive into the current ELD architecture and FMCSA/CCMTA compliance gaps.

• First 60 Days: Successfully lead 2+ full sprints, delivering at least one high-priority compliance update.

• First 90 Days: Drive delivery of the functional roadmap for the next quarter's compliance milestones.

Benefits

The company offers various benefits to regular, full-time employees including:

• Provident fund and gratuity in accordance with applicable laws.

• Paid vacation, sick leave and holidays, in accordance with applicable laws.

• Twenty-Six weeks of paid maternity leave in accordance with applicable laws.

Why we're hiring:

As a Project Manager in the WPP Enterprise Data Group, you will provide delivery coordination and technical project management across the Work Management Data Spine programme. This programme spans seven delivery workstreams with resources based in the UK and India.

You will manage sprint planning, backlog prioritisation, dependency tracking, and progress reporting to ensure the programme delivers on schedule and to quality standards. Your coordination will enable engineering teams to focus on delivery rather than administrative overhead.

This role requires strong technical project management skills with the ability to operate across time zones, manage cross-functional dependencies, and communicate effectively with both engineering leads and programme stakeholders.

You will be joining a high-profile programme delivering the data integration platform that underpins WPP Open Work Management, working at the intersection of data engineering, systems integration, and master data management.

What you'll be doing:

Sprint & delivery management

• Manage sprint planning, daily stand-ups, and retrospectives across offshore engineering teams.
• Track and report on sprint velocity, burn-down, and delivery progress against programme milestones.
• Coordinate sprint deliverables across data engineering, systems integration, and data management workstreams.

Dependency & risk management

• Identify, track, and manage cross-workstream dependencies that impact delivery timelines.
• Maintain the programme risk and issue register, driving mitigation actions to resolution.
• Escalate blockers and delivery risks to programme leadership with recommendations.

Resource & capacity planning

• Manage resource allocation and capacity planning across offshore teams.
• Support the onboarding of new team members, ensuring access, tooling, and documentation are in place.
• Track team utilisation and identify capacity constraints ahead of sprint commitments.

Stakeholder communication

• Produce regular status reports and dashboards for programme leadership and stakeholders.
• Facilitate cross-timezone communication between UK and India-based teams.
• Manage the Jira project, ensuring tasks, estimates, and status are kept current.

What you'll need:

• Proven experience in technical project management within data engineering, software development, or systems integration programmes.
• Strong knowledge of Agile methodologies (Scrum, Kanban) with practical experience running sprints.
• Proficiency with project management tools, particularly Jira and Confluence.
• Excellent stakeholder management and communication skills across technical and business audiences.
• Experience managing distributed teams across multiple time zones.
• Strong analytical skills with the ability to identify risks, dependencies, and bottlenecks.
• Organised and detail-oriented with the ability to manage multiple concurrent workstreams.
• Understanding of data engineering or data platform programmes is an advantage.
• Experience with Databricks, Azure, or similar cloud platforms is a plus.
• Self-motivated with the ability to operate independently and drive delivery outcomes.

Who you are:

You're open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working.

You're optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with conviction: to try the new and to seek the unexpected.

You're extraordinary: we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we provide extraordinary every day.

What we'll give you:

Passionate, inspired people – We aim to create a culture in which people can do extraordinary work.

Scale and opportunity – We offer the opportunity to create, influence and complete projects at a scale that is unparalleled in the industry.

Challenging and stimulating work – Unique work and the opportunity to join a group of creative problem solvers. Are you up for the challenge?

#LI-Hybrid 

Role Overview
We are seeking a senior, technically strong Product Manager to own platform capabilities across one of our engineering Scrum teams while driving customer-facing outcomes and continuous improvement. This role requires close collaboration with Engineering, AI, and platform teams, along with hands-on understanding of event-driven systems, agentic AI integration, scalable service design, and data-driven product development.

Key Responsibilities
• Own the product backlog for a Scrum team — writing clear, actionable user stories, acceptance criteria, and feature specifications aligned with business goals.
• Partner closely with Engineering and AI teams to deliver high-quality solutions across Java microservices, Kafka event pipelines, and agentic platform integrations.
• Collaborate with platform and infrastructure teams to ensure seamless integrations, well-defined data contracts, and API alignment.
• Track success metrics, adoption, and outcomes — iterating rapidly based on data and field feedback.
• Author Intent definitions, Skill specifications, and Policy configurations for the agentic platform layer (PRDas-Code approach).
• Design and maintain golden dataset scenarios used to validate intelligent capabilities before release.
• Drive change management and adoption of new features, tools, and platform capabilities.
• Build and maintain automations using workflow tools (Zapier or equivalent) to streamline internal processes.
• Demonstrate strong understanding of RESTful APIs, webhooks, and authentication mechanisms; troubleshoot integration issues hands-on.
• Work with data teams to define schemas, reporting views, and analytics instrumentation.
• Facilitate prioritization discussions, manage stakeholder expectations, and communicate trade-offs clearly across Engineering, Design, and Leadership.

Skills & Qualifications
• 6+ years of Product Management experience, preferably in platform, data-driven, or AI-enabled products.
• Strong experience collaborating with engineering teams on technical products — comfortable reading system designs, API specs, and data models.
• Proven analytical and problem-solving skills with a data-driven mindset; experience defining and tracking product KPIs.
• Hands-on experience with RESTful APIs, webhooks, and system integrations (ERP, CRM, data platforms, or cloud services).
• Familiarity with AI systems, LLM-based tools, and agentic AI patterns (intent routing, skill/policy design, MCP tools).
• Experience designing scalable, maintainable solution architectures in collaboration with engineering.
• Excellent verbal and written communication skills; strong stakeholder management across technical and non-technical audiences.
• Structured problem-solving and critical thinking; ability to navigate complex system trade-offs.
• Bachelor's or Master's degree in IT, Computer Science, Business Administration, or a related field.

Good to Have
• Experience authoring PRD-as-Code artifacts: Intent definitions, Skill specs, Policy configurations.
• Background in marketing technology, CDP, or customer data platforms.
• Experience with LMS platforms and user enablement programs.
• Prior experience in automotive retail or dealer technology.

Perks & Benefits
• Competitive compensation and generous stock options.
• Medical insurance coverage.
• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies

Role Overview

We are looking for a Senior Backend Engineer to design, build, and scale robust backend services that power complex business workflows. This role requires strong ownership, deep Java expertise, a solid grounding in hexagonal architecture, and the ability to collaborate effectively across product, QA, AI/ML, and engineering teams in a fast-moving, AI-native environment.

Key Responsibilities

• Design and build Java (Spring Boot 3.x) microservices following hexagonal architecture — clean domain logic isolated from MongoDB, PostgreSQL, Cosmos DB, and Kafka adapter implementations.

• Develop and maintain REST APIs, Kafka event consumers/producers, and domain service logic for campaign, scoring, attribution, and customer profile workflows.

• Build and manage MongoDB document schemas and PostgreSQL relational schemas for high-throughput, multi-tenant use cases. 

• Implement Cosmos DB data models for event and state storage with appropriate partition key and consistency strategies.

• Take end-to-end ownership of components — from domain design and hexagonal adapter implementation through deployment and ongoing optimization.

• Integrate with Elasticsearch for campaign search, customer lookup, and full-text query workloads.

• Configure and tune Redis or Aerospike for frequency cap enforcement, scoring cache, and session state management.

• Identify and resolve performance bottlenecks across services, event pipelines, and data layers.

• Participate actively in design discussions, architecture decisions, and code reviews.

• Mentor Junior engineers and act as a role model for code quality, hexagonal design, and AI-native engineering best practices.

Skills & Qualifications

• 5+ years of backend engineering experience; Bachelor's or Master's degree in Computer Science or a related field.

• Strong Java 21 and Spring Boot 3.x expertise; solid grasp of hexagonal architecture and clean domain modeling.

• Experience with Kafka: consumer/producer patterns, at-least-once delivery, idempotent processing, and event-driven service design.

• Hands-on MongoDB experience: document schema design, indexing, aggregation pipelines, multi-tenant isolation.

• PostgreSQL experience: schema design, query optimization, migration management.

• Familiarity with Cosmos DB or equivalent distributed key-value / document stores.

• Experience with Elasticsearch for search and analytics workloads.

• Experience with Redis or Aerospike for high-throughput caching patterns.

• Familiarity with cloud-based systems on AWS (EKS, MSK, S3).

• Strong debugging, performance tuning, and system optimization skills.

• Familiarity with Agile/Scrum development practices and CI/CD pipelines.

Good to Have

• Experience with Temporal for workflow orchestration.

• Familiarity with AI-native integration patterns: MCP tool registration, scoring API contracts, LLM gateway usage.

• Working knowledge of Python for understanding AI/ML service outputs and integrating scoring results.

• Background in enterprise-scale SaaS platforms: eCommerce, supply chain, or similar. 

Job Description

We are looking for a Software Engineer II to join one of our Scrum teams building AI-native, event-driven services for automotive retail intelligence. This is a core contributor role for engineers with 2–4 years of experience who are ready to take end-to-end ownership of features, grow their distributed systems skills, and work in a high velocity environment that demands code quality, hexagonal architecture discipline, and genuine curiosity about AI-native engineering.

Key Responsibilities

• Develop and maintain Java (Spring Boot 3.x) backend services — implementing domain logic, REST APIs, Kafka event consumers/producers, and MongoDB/PostgreSQL persistence adapters following hexagonal architecture patterns.
• Build features across the full backend slice: domain model, port interface, adapter implementation, unit tests, and integration tests.
• Write integration tests using Testcontainers for MongoDB, PostgreSQL, Kafka, and Elasticsearch adapters — ensuring each adapter is tested independently from the domain core.
• Participate in design discussions, architecture reviews, and code reviews — actively learning from Staff and Senior engineers.
• Investigate and resolve bugs, performance issues, and Kafka consumer lag across services.
• Write clean, well-documented, testable code with consistent application of hexagonal design principles.
• Contribute to golden dataset test scenario design under the guidance of the Product Manager and SDET.
• Operate with ownership and curiosity in a fast-paced, startup environment.

Skills and Experience

• 2–4 years of backend engineering experience; Bachelor's or Master's degree in Computer Science or a related field.
• Solid Java fundamentals: object-oriented design, Spring Boot, REST API implementation, and unit testing (JUnit 5).
• Working knowledge of at least one of: MongoDB, PostgreSQL, or Kafka — with willingness to develop depth across all three.
• Understanding of hexagonal architecture concepts (ports & adapters) — ability to implement adapters under the guidance of senior engineers.
• Familiarity with cloud environments (AWS), containerization (Docker), and CI/CD pipelines.
• Strong problem-solving skills, attention to code quality, and ability to receive and apply feedback quickly.
• Collaborative mindset and clear communication — comfortable asking questions and flagging blockers early.

Preferred Skills

• Exposure to Kafka producers and consumers in a production or learning context.
• Familiarity with Elasticsearch for search and analytics use cases.
• Curiosity about AI/ML systems — awareness of what scoring models, embeddings, and LLMs do at a systems level.
• Exposure to Redis or Aerospike for caching patterns.
  
  

Perks and Benefits

• Competitive compensation and generous stock options.
• Medical insurance coverage.
• Work with some of the brightest minds from Silicon Valley's most dominant and successful companies.

Role Overview

We are seeking a Staff Technical Program Manager to own the cross-team delivery machinery for a 20-person AI native engineering organization. This is not a project coordination role — it is a technical program ownership role.  You will maintain the master delivery plan across two Scrum teams and shared resources, track and resolve  
cross-team dependencies (platform teams, ARC backend, OEM integrations), manage risk before it becomes a miss, and create the delivery transparency that allows Engineering, Product, and Executive leadership to make fast, informed decisions. The best TPMs are invisible when things go well and indispensable when they don't. 

Key Responsibilities 

• Own the master delivery plan: maintain the integrated roadmap across both Scrum teams, shared resources (Architect, ML, SDET), and external platform dependencies — with milestone-level clarity at all times.  
• Track and resolve cross-team dependencies: Agentic Engine, Core Platform (Temporal, MCP Gateway, Component Framework), ARC backend (Kafka event contracts, API dependencies), Design (component specs), and external vendors (email/SMS providers).  
• Run the delivery rhythm: sprint review calendar, cross-team sync cadence, dependency review meetings, and risk escalation forums — keeping the Director and VP Engineering informed without burying them in status updates.  
• Identify, quantify, and manage delivery risks: surface blockers early, drive resolution with urgency, and maintain a live risk register with mitigation owners and timelines.  
• Own cross-team technical communication: translate engineering status into language that Product, Business, and Executive stakeholders can act on — and translate business urgency back into engineering trade-off decisions.  
• Drive the release process: define release criteria, coordinate go/no-go decisions with Engineering, QA (Staff SDET), and Product, and manage production deployments across services.  
• Manage the dependency interface to the T1 Agentic Engine team: track which Intent, Skill, Policy, and MCP tool registrations are ready, which are blocked, and what the critical path impact is.  
• Continuously improve the delivery system: identify bottlenecks in the engineering process, drive retrospectives, and implement changes that sustainably increase throughput and quality.

Skills & Qualifications 

• 12+ years of technical program management experience, with at least 3 years at Staff level managing multi team programs at SaaS or platform companies.  
• Strong technical depth: able to read architecture diagrams, understand Kafka dependency graphs, evaluate API contract blockers, and participate credibly in engineering design discussions.  
• Proven experience managing complex, multi-team delivery programs with many external dependencies — including platform dependencies outside your direct control.  
• Expert facilitation of engineering delivery rituals: sprint planning, dependency reviews, release gates, post mortems, and architecture syncs.  
• Deep understanding of AI-native product delivery: what makes AI system delivery different from traditional software (eval requirements, model versioning, non-deterministic outputs, golden dataset dependencies).  
• Excellent written communication: can produce a crisp, executive-readable status update that tells the truth clearly and drives decisions.  
• Strong stakeholder management across Engineering, Product, Design, and Executive levels — comfortable managing up, across, and down.  

 
Good to Have  

• Experience managing delivery programs that involve both Java microservices and Python AI/ML engineering teams simultaneously.  
• Familiarity with agentic AI platform concepts: intent registries, MCP tools, skill/policy authoring, and eval frameworks — enough to track technical dependency status accurately.  
• Background in automotive retail technology or dealer management systems.  
• Prior experience working in a US-India distributed engineering organization.  
 

About Us

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

WHY JOIN CAPCO?

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

MAKE AN IMPACT

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

#BEYOURSELFATWORK

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

CAREER ADVANCEMENT

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

DIVERSITY & INCLUSION

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

MAKE AN IMPACT

Job Description:

Job Title: Sr. Java Backend developer (7.1-9 years) Chennai 
Responsibilities Direct Responsibilities • Ensure together with the other squad members the implementation of changes requests, maintenance and future improvements. • You help to define the development plan and acceptance criteria out of those requirements. • You design, build, test and maintain the new & existing features with high performance, reusable, and reliable code. • You focus on the best possible performance, quality, and uptime of the application by: • Identifying & solving bottlenecks or bugs. • Ensuring High Code quality, readability, and structure. • Making smart automatization (if relevant). • Creating/Updating the technical documentation to ensure service continuity. • You embed the agile & the best development practices in your daily job Contributing Responsibilities As developer in a squad: • You leverage your expertise to refine features in workable activities. • You share your expertise & improvement ideas to enrich the squad’s backlog. • You align and follow the priorities defined by the squad Technical & Behavioral Competencies • Java 8, 17 • Spring, SpringBoot • RestAPI, XML and JSON • Maven, Gitlab, Jenkins, Kubernetes • Junit • Wiremock, Spring test, Mockito • Good understanding of application lifecycle and importance of testing Specific Qualifications: • You have a bachelor or master degree in IT at least 8 years of experience • Fluent English is mandatory (oral and written) Skills Referential (Required knowledge, skills and abilities) Technical Skills: • Java and object-oriented programming with at least 8 years of experience • Api Development, RESTful APIs; • Swagger • JPA • Junit, Cucumber • Oracle, PLSQL • SiteFactory, Spring, Spring MVC (Modal View Controller), Springboot • Maven, Docker • Secure coding • Technical tools mastery • Gilab, Jenkins, SonarQube, Fortify & NexusIQ • IntellIij • Agile and Scrum experience

WHY JOIN CAPCO?

You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: • A work culture focused on innovation and creating lasting value for our clients and employees • Ongoing learning opportunities to help you acquire new skills or deepen existing expertise • A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients • A diverse, inclusive, meritocratic culture

We offer:

• A work culture focused on innovation and creating lasting value for our clients and employees
• Ongoing learning opportunities to help you acquire new skills or deepen existing expertise
• A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients
  
  

Who we are:

BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and AI data management. We're leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data.

We are building a global team passionate about innovation and next-gen technology. Our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding.

Who we seek:

A highly motivated and detail-oriented R&D Operations Analyst to optimize the efficiency and productivity of our Research & Development department. You'll play a critical role in supporting R&D leadership by providing data-driven insights and managing key operational processes.

What you'll do: (Overview of the Role)

• Performance Tracking and Reporting: Develop and maintain dashboards and reports to track key R&D metrics, such as release velocity, bug resolution time, and resource utilization, presenting findings to R&D leadership.
• Process Optimization: Analyze existing R&D workflows (e.g., development lifecycle, QA process) to identify bottlenecks, propose improvements, and drive the implementation of more efficient operational processes.
• Budget and Resource Management Support: Assist the R&D leadership team in planning, tracking, and optimizing the R&D budget and resource allocation across various projects and teams.
• Subject Matter Expertise & Admin for R&D Systems: Serve as the subject matter expert (SME) and Administrator for Products and Engineering system tools (e.g., Jira, GitHub, Aha!), providing governance, optimization, and training to maximize team efficiency.
• Strategic Reporting & Board Preparation: Prepare detailed board materials and presentations summarizing R&D performance, progress against KPIs, and strategic initiatives for executive review.
• Ad-hoc Reporting and Analysis: Handle various ad-hoc reporting requests from R&D leadership, Finance, and other stakeholders, ensuring timely and accurate delivery of critical operational data.
• Tooling and Infrastructure Coordination: Act as a key liaison between R&D, IT, and Finance to ensure R&D teams have the necessary tools, licenses, and infrastructure to operate effectively.

What you'll bring: (Qualifications and Requirements)

Years of Experience: 3+ years of experience in an Operations Analyst, or Program Management role within a Software / Technology company.

Academic Education:

• Bachelor's degree in a quantitative or technical field such as Computer Science, Engineering, Business Administration, Economics, or a related field.

Important Skills or Attributes:

• Analytical & Data-Driven Mindset: Proven ability to collect, analyze, and interpret complex data sets (preferably using tools like SQL, Excel/Sheets and Looker) to derive actionable insights.
• Process Improvement Expertise: Strong understanding of software development lifecycle (SDLC) methodologies (Agile/Scrum/Kanban) and experience in implementing process improvements.
• Excellent Communication and Collaboration: Exceptional verbal and written communication skills with the ability to clearly articulate complex operational issues to technical and non-technical audiences.
• Project Management Fundamentals: Solid organizational skills, attention to detail, and experience managing multiple priorities in a fast-paced environment.
• Technical Tool Proficiency: Familiarity with R&D operational tools such as Jira/Confluence, GitHub/GitLab, and reporting/BI tools.

Advantages:

• Experience in a rapidly scaling SaaS Software startup environment.
• Familiarity with financial reporting, budgeting, and cost allocation specific to R&D departments.
• Relevant professional certifications (e.g., PMP, Lean Six Sigma, Scrum Master).
• Prior experience working in data security, privacy, or AI-related domains.