The Role

The Senior SDET - Browser & Extension Testing will own test strategy, quality architecture, and the automated regression infrastructure for Securly's onboard filtering project — building the test systems that ensure a safety-critical Chrome extension works correctly for millions of students and keeps working through every browser update and policy change.

The onboard filtering project is a high-risk architecture change to a widely-deployed extension. A regression in allow/block decision logic, cache invalidation, or bypass prevention could expose students to inappropriate content or disrupt school operations. The test infrastructure you build is the last line of defense before production.

At L5, this is an engineering leadership role, not a QA role. You will define what 'production-ready' means for a safety-critical student product, enforce that standard through CI/CD quality gates, and contribute to extension development directly.

What You'll Do

• Define what 'passing' means for the onboard filtering project: establish written quality criteria covering correctness, security, and performance that gate production releases.
• Design and implement automated test suites covering block/allow decisions, iframe handling, cache invalidation, TTL expiry, fallback behavior, and filtering decision engine edge cases.
• Build CI/CD quality gates that prevent regressions from reaching production; own the pipeline configuration and ensure the quality bar is enforced, not advisory.
• Model bypass threats systematically: document how students exploit timing windows, iframes, DOM manipulation, redirect chains, and DNS TTL behavior — then build automated tests that catch those bypasses.
• Measure and establish written performance baselines: page load latency impact, service worker memory usage, cache sync overhead across realistic Chromebook hardware profiles.
• Contribute to Chrome extension development work in TypeScript/JavaScript alongside test responsibilities.
• Serve as the team's expert on bypass threat modeling: your analysis of how students circumvent filtering is an input to the implementation team's architecture decisions.
• Mentor engineers on test architecture as a first-class discipline.

Skills & Requirements

Who You Are

• You think like an attacker when writing tests — you do not test the happy path and call it done. You document attack vectors so the implementation team designs against them.
• You have shipped production Chrome extensions and built the test infrastructure around them. You know both sides of the work.
• You treat test architecture as a first-class engineering discipline. A feature without a regression suite is not finished.
• You define what 'quality' means on a safety-critical product and produce written criteria that hold the codebase to that standard.
• You contribute to development, not just testing — this is an L5 engineering role, and your TypeScript ships alongside your test suites.
• Your bypass threat model documents are used by the implementation team to make better architecture decisions.

What It Means to Be L5 at Securly

L5 at Securly is a Staff Engineer. You are the technical owner, not just an implementer.

• Drive technical direction for your initiative end-to-end: from architecture to production, with minimal oversight from your engineering manager.
• Identify and resolve ambiguity in requirements, system boundaries, and design tradeoffs without waiting for a fully-formed spec.
• Mentor L3/L4 engineers on the team: code reviews, design feedback, pairing, and raising the bar for what production-quality work looks like.
• Partner with your L6 technical lead and the Distinguished Engineer on architectural decisions, surfacing tradeoffs clearly rather than deferring them upward.
• Contribute to cross-team engineering standards: you are expected to influence practices beyond your immediate squad.
• Translate technical context into clear written artifacts that non-engineers (PM, Support, Leadership) can act on.
• Participate in on-call rotation and own the full incident lifecycle for your system: detection, diagnosis, resolution, and retrospective.

About Securly

Benefits

The Role

The Senior Software Engineer (Rust) - Proxy Services will own the conversion of Securly's web filtering proxy business logic from C++ to production Rust — maintaining behavioral parity across a high-throughput proxy that handles HTTP/HTTPS traffic for millions of students daily.

A modern, memory-safe Rust proxy is already underway at Securly. When you join, the initial Rust proxy is in production and your mission is the next phase: integrating and converting the existing C++ business logic into production Rust. This means reading C++, reasoning about behavior, and re-implementing it correctly — including HTTPS tunneling, TLS interception, JavaScript injection into HTML responses (the ACP-48 shim pattern), and Redis-based policy lookups. Precision and behavioral correctness are non-negotiable.

At L5, you are not just a skilled implementer. You own the conversion strategy, define the phasing and testing approach, surface architectural risks to the L6 lead, and raise the Rust competency of the broader proxy team.

What You'll Do

• Own the C++ to Rust conversion strategy: define the porting sequence, identify behavioral risks, and establish the testing approach that gives confidence in parity before cutover.
• Read, debug, and deeply understand existing C++ proxy business logic, then port it to production Rust with full behavioral parity.
• Build and maintain forward proxy operations: HTTPS CONNECT tunneling, TLS interception, HTTP/1.1 and HTTP/2, header manipulation, connection pooling.
• Implement JavaScript content script injection into HTML responses (ACP-48 shim pattern) — enabling proxy-side injection for customers not served by the Chrome extension.
• Integrate Redis-based real-time policy lookups; handle Redis failure modes gracefully; document degraded-mode behavior and validate it under load.
• Profile and benchmark proxy performance under high-concurrency load; use flame graphs to validate changes; maintain a written performance baseline document.
• Identify gaps in the existing C++ codebase where behavior is unclear or likely incorrect — treating the port as an opportunity to improve, not just replicate.
• Mentor junior Rust engineers on ownership models, async patterns, and systems-level debugging.
• Collaborate closely with the Proxy Hardening engineer on shared infrastructure and production issues.

Skills & Requirements

Who You Are

• You are the engineer who reads crash dumps for fun. Memory safety, ownership models, and undefined behavior are topics you have strong opinions about.
• You have ported or rewritten production systems before and understand that behavioral parity is significantly harder than it appears.
• You can navigate a large legacy C++ codebase without documentation. You treat it as archaeology, not an obstacle.
• You take correctness seriously — you do not ship a port until you are confident it behaves identically to what it replaced, and you have the test coverage to prove it.
• You define the plan, not just execute it. You produce written conversion strategies, risk registers, and performance baseline documents.
• You make other engineers better. You are sought out for Rust code reviews and junior engineers ship better code after working with you.

What It Means to Be L5 at Securly

L5 at Securly is a Staff Engineer. You are the technical owner, not just an implementer.

• Drive technical direction for your initiative end-to-end: from architecture to production, with minimal oversight from your engineering manager.
• Identify and resolve ambiguity in requirements, system boundaries, and design tradeoffs without waiting for a fully-formed spec.
• Mentor L3/L4 engineers on the team: code reviews, design feedback, pairing, and raising the bar for what production-quality work looks like.
• Partner with your L6 technical lead and the Distinguished Engineer on architectural decisions, surfacing tradeoffs clearly rather than deferring them upward.
• Contribute to cross-team engineering standards: you are expected to influence practices beyond your immediate squad.
• Translate technical context into clear written artifacts that non-engineers (PM, Support, Leadership) can act on.
• Participate in on-call rotation and own the full incident lifecycle for your system: detection, diagnosis, resolution, and retrospective.

About Securly

Benefits

The Role

Lead the maturation of Securly's content classification system — building the ML infrastructure that determines, at scale, whether web content is appropriate for K-12 students, and establishing the rigorous evaluation framework that product and leadership teams depend on.

This is applied ML with direct student safety impact — not research. You will lead a significant uplift of Securly's classification models: refactoring binary models to proper multiclass classification, building labeled evaluation datasets, and producing standardized model cards with per-category precision, recall, F1, and confusion matrix analysis.

At L5, you are the technical leader of the data science function for content safety. You will define the evaluation methodology the team follows, set the standard for what a model card must contain before a model ships, mentor the team on applied ML rigor, and serve as the interface between data science and engineering on production integration constraints.

What It Means to Be L5 at Securly

L5 at Securly is a Staff Engineer. You are the technical owner, not just an implementer.

• Drive technical direction for your initiative end-to-end: from architecture to production, with minimal oversight from your engineering manager.
• Identify and resolve ambiguity in requirements, system boundaries, and design tradeoffs without waiting for a fully-formed spec.
• Mentor L3/L4 engineers on the team: code reviews, design feedback, pairing, and raising the bar for what production-quality work looks like.
• Partner with your L6 technical lead and the Distinguished Engineer on architectural decisions, surfacing tradeoffs clearly rather than deferring them upward.
• Contribute to cross-team engineering standards: you are expected to influence practices beyond your immediate squad.
• Translate technical context into clear written artifacts that non-engineers (PM, Support, Leadership) can act on.
• Participate in on-call rotation and own the full incident lifecycle for your system: detection, diagnosis, resolution, and retrospective.

What You'll Do

• Define the evaluation methodology for content classification at Securly: establish what a model card must contain and hold every model release to that standard before it ships.
• Lead the multiclass refactor of Securly's content classification models: redesign binary models to handle multi-label, multi-class content categories (Adult Content, Violence, Self-Harm, Social Media, and others).
• Build and maintain labeled evaluation datasets with robust annotation workflows; address class imbalance and label noise systematically; document dataset curation decisions in a versioned data card.
• Connect offline evaluation to production monitoring — surface classification drift and error patterns before they become customer-facing issues.
• Investigate and resolve misclassification errors: false positives (over-blocking) and false negatives (under-blocking); produce written root cause analyses.
• Build and maintain training data pipelines: ingestion, cleaning, labeling, and versioning at scale.
• Mentor the existing AI team on evaluation methodology, model development practices, and data science communication rigor.
• Communicate precision/recall tradeoffs to product managers and engineers; produce executive-level summaries of classification quality for leadership.
• Collaborate with engineering to integrate model outputs into the production filtering stack with appropriate latency and reliability constraints.
• Research and prototype improvements: feature representations, model architectures, active learning for label efficiency, domain adaptation for emerging content categories.

Skills & Requirements

Who You Are

• You have shipped ML models to production and lived with the consequences — you know what model drift looks like and how to catch it before it becomes a customer issue.
• You treat evaluation as a first-class engineering artifact. A model without a model card is not finished — and you set and enforce that standard for the team.
• You define the methodology, not just apply it. You produce the evaluation framework that other data scientists use, and you hold them to it.
• You can communicate precision/recall tradeoffs to a product manager and to a senior engineer in the same conversation, calibrated to each audience.
• You are energized by problems with real stakes: a false negative in Self-Harm classification is not an acceptable error rate.
• You mentor by example and by expectation: your code, your analysis, and your documentation set the standard.

About Securly

Benefits

The Role

The Senior Data Scientist will lead the maturation of Securly's content classification system — building the ML infrastructure that determines, at scale, whether web content is appropriate for K-12 students, and establishing the rigorous evaluation framework that product and leadership teams depend on.

This is applied ML with direct student safety impact — not research. You will lead a significant uplift of Securly's classification models: refactoring binary models to proper multiclass classification, building labeled evaluation datasets, and producing standardized model cards with per-category precision, recall, F1, and confusion matrix analysis.

At L5, you are the technical leader of the data science function for content safety. You will define the evaluation methodology the team follows, set the standard for what a model card must contain before a model ships, mentor the team on applied ML rigor, and serve as the interface between data science and engineering on production integration constraints.

What It Means to Be L5 at Securly

L5 at Securly is a Staff Engineer. You are the technical owner, not just an implementer.

• Drive technical direction for your initiative end-to-end: from architecture to production, with minimal oversight from your engineering manager.
• Identify and resolve ambiguity in requirements, system boundaries, and design tradeoffs without waiting for a fully-formed spec.
• Mentor L3/L4 engineers on the team: code reviews, design feedback, pairing, and raising the bar for what production-quality work looks like.
• Partner with your L6 technical lead and the Distinguished Engineer on architectural decisions, surfacing tradeoffs clearly rather than deferring them upward.
• Contribute to cross-team engineering standards: you are expected to influence practices beyond your immediate squad.
• Translate technical context into clear written artifacts that non-engineers (PM, Support, Leadership) can act on.
• Participate in on-call rotation and own the full incident lifecycle for your system: detection, diagnosis, resolution, and retrospective.

What You'll Do

• Define the evaluation methodology for content classification at Securly: establish what a model card must contain and hold every model release to that standard before it ships.
• Lead the multiclass refactor of Securly's content classification models: redesign binary models to handle multi-label, multi-class content categories (Adult Content, Violence, Self-Harm, Social Media, and others).
• Build and maintain labeled evaluation datasets with robust annotation workflows; address class imbalance and label noise systematically; document dataset curation decisions in a versioned data card.
• Connect offline evaluation to production monitoring — surface classification drift and error patterns before they become customer-facing issues.
• Investigate and resolve misclassification errors: false positives (over-blocking) and false negatives (under-blocking); produce written root cause analyses.
• Build and maintain training data pipelines: ingestion, cleaning, labeling, and versioning at scale.
• Mentor the existing AI team on evaluation methodology, model development practices, and data science communication rigor.
• Communicate precision/recall tradeoffs to product managers and engineers; produce executive-level summaries of classification quality for leadership.
• Collaborate with engineering to integrate model outputs into the production filtering stack with appropriate latency and reliability constraints.
• Research and prototype improvements: feature representations, model architectures, active learning for label efficiency, domain adaptation for emerging content categories.

Skills & Requirements

Who You Are

• You have shipped ML models to production and lived with the consequences — you know what model drift looks like and how to catch it before it becomes a customer issue.
• You treat evaluation as a first-class engineering artifact. A model without a model card is not finished — and you set and enforce that standard for the team.
• You define the methodology, not just apply it. You produce the evaluation framework that other data scientists use, and you hold them to it.
• You can communicate precision/recall tradeoffs to a product manager and to a senior engineer in the same conversation, calibrated to each audience.
• You are energized by problems with real stakes: a false negative in Self-Harm classification is not an acceptable error rate.
• You mentor by example and by expectation: your code, your analysis, and your documentation set the standard.

About Securly

Benefits

The Role

We are currently seeking an Associate Portfolio Data Analyst to join our Portfolio Data Feeds Team. Addepar provides asset owners and advisors a clearer financial picture at every level, allowing them to make more informed and timely investment decisions.

As an Associate Portfolio Data Analyst focusing on our portfolio data platform, you will be responsible for integrating client portfolio data into Addepar’s leading portfolio management products. You will work closely with data providers, internal partners and engineering to expand Addepar’s capabilities and coverage to meet client needs. You will partner closely with leaders across the business to build the preeminent data solutions and services that serve investment teams in wealth management and beyond. In addition, you work with other partners within the product management team on a variety of initiatives to improve overall data management and integration across Addepar.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do

• Analyze and onboard portfolio data content from a variety of sources using industry standard analysis tools (such as SQL and Jupyter Notebooks) into determining how to integrate and model that data into Addepar’s data integration ecosystem
• Partner with engineering, product management, and data operations to deliver high quality, timely and reliable data solutions through Addepar’s data network
• Work with a variety of 3rd party data providers to develop and support the integration of their data into our platform
• Develop and support data aggregations and functionality for our clients based on client and 3rd party content and user workflow needs
• Develop data-oriented workflow solutions and product improvements in collaboration with user experience, design, and application focused project management teams
• Analyze and develop solutions to improve data operations and content pipeline efficiency
• Understand Addepar’s products and clients. Work with counterparts within the business to drive new and innovative opportunities to serve our clients and grow the business
• Contribute to the evolution of Addepar’s financial concordance solutions to better serve our clients and cement Addepar’s role as the outstanding integrator of market traded and alternative asset investments
• This is a role that will allow the successful candidate to build on their experience in the investment domain

Who You Are

• 1+ years of experience working with financial data and concepts that are relevant to Addepar’s clients and products, or graduated from a business related degree
• Must have relevant domain-specific experience in wealth management and portfolio management.(Stocks, bonds, securities, etc.)
• Technical skills preferred in any or all of the following: Excel, SQL, Python, pyspark, Databricks or other common financial services systems and applications
• Good communication and interpersonal skills working with vendors, clients and internal partners
• Passion for the finance and technology space and solving previously intractable problems at the heart of investment management.

So, what’s the role all about?

As a Product Owner within Employee Engagement Manager (EEM), you will help define requirements for an intelligent intraday management tool focused on innovation, automation, and empowerment. EEM Product Owners work with both Product Managers and R&D to define product requirements which will evolve the workforce management space. You will serve as the Product Manager’s representative in all scrum-related activities for sprint and release planning to help drive execution according to the roadmap. Where needed, you will represent the Product team in critical stakeholder communication with R&D leadership, technical account managers, support, and during other critical activities in support of the Product team’s needs. You will report directly to the Manager of Product Management and are expected to interact with experts in the WFM domain.

How will you make an impact?

Define functional requirements for new EEM product features

Support the detailed definition of the product roadmap aligned to the Product Manager’s vision

Create and own the prioritized backlog. Work with architects, R&D, and UX to understand the design and prepare for sprint and release plans

Provide appropriate conditions regarding usage behavior and key pain-points experienced by specified WFM personas. Review, give feedback, and approve product deliveries according to acceptance criteria within area of responsibility

Assist customer support, training, and implementation teams with product issues

Enable the creation of technical documentation including feature documentation, micro-learning videos, and release guide preparation

Support Product Managers and serve as a trusted collaborator in considering feature innovations and critical decision-making

Have you got what it takes?

B.E./B.Tech in Computer Science, Industrial/Electronic Engineering.

2-5 years of experience in IT

Ability to work in a highly autonomous environment with little oversight required to multitask and prioritize work

Proven experience on partnering with engineers for delivery of enterprise-class software

Background in Agile Development Methodologies, user stories, acceptance criteria, and product specification definition

Familiarity with cloud-based applications and AWS infrastructure

Track record of effectively using influence, negotiation, and relationship-building to drive plan execution

Ability to work later hours when necessary. Strong communication skills and ability to interact with globally situated stakeholders

Fast learner with ability to quickly grasp new technical concepts. Ability to work across boundaries in a matrix organization

Strong analytical and problem-solving skills. Ability to manage expectations with customers and internal stakeholders

You will have an advantage if you also have:

Experience with contact centers or workforce management practices

Familiarity with scheduling employees

Previous experience as a Business Analyst/Product owner for enterprise-class software

Strong mathematical background. Knowledge of both web and mobile applications

Understanding of user experience. Experience with agent experience for WFM, specifically around time-off topics. Familiarity with Pragmatic Marketing framework

Knowledge of JIRA and Confluence. Inquisitive mindset/ ability to innovate

Experience with building AI products and features

What’s in it for you?

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

Enjoy NICE-FLEX!

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

Requisition ID: 10797

Reporting into:  Tech Manager
Role Type: Individual Contributor

Role 

We are looking for a Staff Threat Researcher to join our Threatlabz team. This is a hybrid role based in Mohali,reporting to the Senior Manager, Threat Research. As a key contributor to our threat research initiatives, you will lead the charge in identifying vulnerabilities and analyzing sophisticated malware within the Apple ecosystem. Your expertise in macOS and iOS system internals will drive the development of advanced detection strategies and strengthen our overall product defenses.

What you’ll do (Role Expectations)

• Perform static and dynamic analysis of macOS and iOS applications, firmware, and system internals to identify vulnerabilities and malicious functionality
• Reverse-engineer malware samples to decipher behavior, capabilities, and attack vectors while contributing to prevention strategies
• Research and maintain deep expertise in macOS security features, XNU kernel updates, and frameworks such as Endpoint Security and Network Extensions
• Develop custom tools and scripts to automate reverse engineering, binary analysis, and malware-related processing tasks
• Partner with engineering, QA, and threat intelligence teams to integrate new security features and harden product defenses

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Proficiency in system-level languages including C, C++, Objective-C, Swift and deep knowledge of macOS architecture, Mach-O binary formats, and security mechanisms like SIP, TCC, and Gatekeeper
• Extensive hands-on experience with reverse engineering tools such as IDA Pro, Ghidra, Binary Ninja, Frida, and Wireshark
• Strong scripting skills, particularly in Python, for automating complex analysis and research tasks
• Proven ability to decompile, disassemble, and de-obfuscate closed-source binaries to reconstruct logic without source code access

What Will Make You Stand Out (Preferred Qualifications)

• Experience with Windows or Linux platforms for comparative threat analysis
• Prior professional track record in specialized malware analysis or vulnerability research
• Thorough understanding of network protocols and system-level communication mechanisms

#LI-Hybrid
#LI-RG

About the Role

As a Product Owner in the AI Solutions team, you will play a pivotal role in translating strategic direction into actionable product increments. You will work closely with engineering teams in India, Nepal, and the US to ensure that our generative AI platform delivers measurable value to healthcare payers, with a focus on key business cases (i.e. Payment Integrity) and unstructured data solutions. This is an execution-focused role, responsible for the “how” of delivery and sprint cadence, while closely partnering with the Senior Product Manager who drives the “what” and “why.”

Your day to day

• Create and maintain a structured product backlog for GenAI solutions, ensuring clear problem statements, acceptance criteria, and definitions of done.
• Own GenAI stories in Jira, maintaining distinct boards, sprint cadences, and capacity visibility as defined by team processes.
• Break down high-level product and governance objectives into actionable user stories and tasks.
• Lead grooming sessions with engineers, data modeling, stakeholders, and others to clarify scope, estimate effort, and prioritize work based on business value and readiness.
• Drive sprint planning, coordinate daily stand-ups for the AI team, and proactively remove blockers to ensure commitments are met and deliverables align with the roadmap.
• Define and execute acceptance testing for completed features, verifying that data traceability, outputs, and governance capabilities meet requirements.
• Coordinate with security and compliance to ensure features meet auditability, observability, and hallucination control guardrails.
• Prepare release notes, user guides, and internal training materials; support deployments with DevOps and ensure client-facing documentation reflects new capabilities.
• Act as a liaison between product leadership, engineering, data modeling, and platform teams; communicate progress and issues clearly.
• Track and report on key SDLC metrics (burndown, velocity, throughput, capacity) and maintain a knowledge base of FAQs, lessons learned, and key decisions.
• Champion continuous improvement by applying agile best practices, identifying process bottlenecks, and leveraging AI tools for backlog management and documentation.

What you bring to the team

• 3+ years as a Product Owner or similar role in a data-driven environment, ideally supporting AI, data platforms, or healthcare products.
• Experience working with distributed engineering teams, preferably across US and India time zones, and familiarity with Scrum/Agile methodologies and tools (e.g., Jira, Confluence).
• Demonstrated ability to translate strategic product direction into actionable backlog items, groom stories with engineers, and manage sprint cadence.
• Strong understanding of the software development lifecycle (SDLC) and release management, with the ability to coordinate acceptance testing and quality assurance.
• Exposure to healthcare data (claims, clinical, or payer workflows) and AI/ML technologies.
• Excellent communication and organizational skills; comfortable interfacing with technical and non-technical stakeholders across product, engineering, security, and sales.
• Fluency in English (required for India-based roles).

What we would like to see, but not required

• Experience with healthcare interoperability standards (e.g., HL7 V2, FHIR, X12).
• Experience with cloud technologies (AWS, Azure, GCP), Databricks, or Snowflake.
• Prior work in a high-growth, fast-paced startup environment.

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

Overview of Role

66degrees is seeking a Technical Product Owner / Product Architect within the Innovation team to drive the next generation of intelligent products and solutions. This role operates at the intersection of product strategy, technical architecture, and engineering execution, enabling the organization to rapidly conceptualize, design, and scale high-impact products.

You will play a critical role in translating business vision into scalable technical solutions, partnering with cross-functional teams across AI, data, and cloud engineering. This role is ideal for someone who combines strong technical depth with product thinking, thrives in ambiguity, and is passionate about building solutions that create measurable business impact.

Responsibilities

• Drive Product Innovation: Lead end-to-end product development from ideation to execution, contributing to roadmap, feature definition, and delivery.
• Architect Scalable Solutions: Define and review system architecture, ensuring scalability, performance, and long-term sustainability of products.
• Bridge Business & Technology: Translate business requirements into technical solutions while aligning stakeholders across product, engineering, and leadership teams.
• Enable Product Strategy: Evaluate build vs. buy decisions, assess market solutions, and contribute to product vision and go-to-market alignment.
• Execution Ownership: Work closely with engineering teams to ensure high-quality delivery, proactively identifying risks, dependencies, and trade-offs.
• Cross-functional Collaboration: Partner with AI, data, and cloud teams to build innovative, data-driven products and accelerators.
• Continuous Improvement: Drive process improvements and bring a structured yet flexible approach to product and engineering workflows.

Qualifications

• 8+ years of experience with a strong foundation in software engineering, architecture, or technical product roles.
• Proven experience in system design, solution architecture, and scalable application development.
• Strong understanding of data platforms, backend systems, and cloud-based architectures.
• Experience working in product-driven or consulting environments, with exposure to enterprise-scale  implementations.
• Ability to translate complex business problems into technical solutions and drive execution.
• Strong collaboration and communication skills with the ability to work across technical and non-technical stakeholders.
• Proficiency in Agile/Scrum methodologies and product development lifecycle.
• Preferred: Experience in enterprise architecture frameworks (e.g., TOGAF) or similar.
• Preferred: Background transitioning from development to architecture to product/consulting roles.

The Role

As a Data Solutions Consultant, you will support some of Addepar’s complex and high-touch client data implementation projects. You’ll design scalable solutions to transform and integrate clients’ portfolio data into Addepar, and build expertise across both technical and business domains.

You’ll also be among the first members of the Data Solutions team based in India, helping establish our presence in the region while working closely with colleagues across the U.S., U.K., and other global offices. This is a collaborative role offering the opportunity to shape our operating model locally and strengthen how our global teams deliver together.

Beyond client delivery, you’ll also have the opportunity to participate in internal  innovation; contributing to  automation, tooling, and best practices that enable scale and elevate how we operate globally. This is an individual contributor position for someone who thrives at the intersection of finance, data, and technology, and is excited to make a global impact from India. 

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do

• Support  complex client implementations: execute data conversion projects to extract, transform, and load historical portfolio data from clients’ legacy systems into Addepar
• Build  scalable data solutions:  Translate client requirements into flexible, sustainable workflows that enable accurate reporting and analysis, with guidance from senior team members
• Contribute to  a portfolio of high-impact projects:  Manage multiple concurrent client engagements, prioritizing effectively and driving each to successful completion
• Collaborate across teams: Building knowledge of  investment-related data and partner closely with Services, Sales, Product, and Engineering to deliver tailored client outcomes
• Champion operational excellence:  Identify and lead opportunities to streamline, automate, and improve our delivery processes and workflows

Who You Are 

• Experienced: 2+ years of experience in technology, finance, or consulting, with a strong record of leading complex data or financial system integration projects
• Technical: Proficiency in Python and SQL. You should be comfortable navigating large datasets, streamlining data flows (ETL), and finding ways to automate repetitive manual tasks to improve efficiency. Experience/familiarity with Databricks and API workflows is a plus.
• Investment-Savvy: 
• A foundational grasp of the investment landscape. You understand how different assets work—like stocks, bonds, and derivatives—and you’re familiar with the basics of how portfolios are tracked and accounted for.
• Experience working directly with the building blocks of investment data. You’ve handled things like security identifiers, trade records, and market pricing updates, and you understand how this information flows through a financial firm.
• Technical Translation: Ability to articulate technical architectures to non-technical internal teams, converting technical requirements into clear, actionable business value.
• Solutions-Oriented: Curious problem-solver who takes initiative and is developing  ownership and accountability in ambiguous environments
• Collaborative: Eager to work across teams and functions to deliver measurable impact
• Process-Minded: Highly organized, detail-oriented, and continuously looking for ways to improve efficiency and scale
• Adaptable: Thrives in a fast-paced environment with evolving priorities and global stakeholders

A Note on Requirements

Don’t check every single box? Apply anyway. We are looking for curious, motivated individuals. If you are passionate about the intersection of finance and tech but don't meet every specific qualification listed above, we still want to hear from you and see if your unique skills could be a fit for our team.

Important Note: This role will require you to work from Pune office 3 days a week in UK shift i.e. 2:30 PM to 11:30 PM IST. (hybrid role)

The Role

Addepar has just launched an Alternatives Product offering that gives Addepar clients the option to have their Private Funds data extracted, processed, validated, and ingested directly from Private Fund documents for a more automated end-to-end solution for handling Alternatives on the platform. This white-glove solution combines proprietary machine learning technology that automatically extracts data from Private Funds documents and human-in-loop review to validate any documents that fail to pass confidence and data quality checks. 

As part of the broader Addepar Data organization, the Alternatives Data Ops team is responsible for the human-in-loop review of Private Funds documents, ensuring clients’ Alternatives data is processed, validated, and available in Addepar in a timely manner. This role will include reviewing Private Fund statements, modifying data that has been incorrectly extracted by our machine learning models, and reprocessing the data within SLAs. The Alternatives Data Ops team plays a critical role in the success of Addepar’s Alternatives offering and requires daily communications with the Alternatives Product Team, Machine Learning Operations, clients, data providers (GPs and Fund Admins), and additional personnel across the organization.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do

• Manage Alternatives Data processing for Addepar clients, which includes but is not limited to:
• Troubleshooting Private Fund statements (Capital Call Notices, Distribution Notices, and Capital Account Statements) processing exceptions captured by automated validation checks
• Modifying document data that has been incorrectly extracted by our machine learning models to reflect the correct Private Fund transactions and valuations information contained in the Private Fund Statements
• Partnering with our Machine Learning Operations team to identify and relabel documents for model retraining
• Engaging clients, GPs, or Fund Admins to address statement data related inquiries and issues
• Onboard new clients to determine and establish the ownership structure of clients’ Private Fund positions within Addepar
• Help maintain Alternatives Data Operations workflow procedures and play-books
• Partner with Sales, Account Managers, and Solutions Architects to drive alignment on account related issues and to ensure positive client outcomes
• Collaborate with Product and Engineering to implement new processes and tooling features that improve Alternatives Data processing UX and increase operational workflow efficiency

Who You Are

• Overall 2-10+ years of experience working in similar role
• Work experience in the financial investment/advisory industry with strong knowledge of capital markets, middle/back-office operations systems, and preferably with experience dealing with Alternatives (Private/Draw-down) Funds data, including knowledge of capital account statements, capital calls, and distribution notices
• Track record of demonstrating excellent attention to detail, effective problem-solving skills, and an ability to thrive in a fast paced environment.
• Outstanding communication and interpersonal skills for engaging clients, data providers, and internal stakeholders across Sales, Services, and R&D
• Highly self-motivated to take on responsibility, forward thinking and pragmatic, and possess a collaborative team-player mentality
• Technical skills preferred in any or all of the following: Microsoft Excel, Google Suite, Atlassian Jira/Confluence, and Salesforce
• Willing to work flexible hours

The Role

At Addepar, we are looking for an experienced Automation Specialist-Operations to design, develop, and deploy enterprise-grade robotic process automations. The role is ideal for a UiPath expert who can operate independently, deliver high-quality solutions, and collaborate effectively with internal product, engineering and operations teams.

What You’ll Do:-

Process Assessment & Solution Design

• Review business requirements and assess automation feasibility.
• Define and document the automation solution design (PDD / SDD).
• Identify reusable components and develop modular solutions.
• Develop custom activities using UiPath SDK

Development & Testing

• Develop, debug and test workflows using UiPath Studio / Orchestrator.
• Implement robust exception handling, logging, alerting and configuration management.
• Conduct UAT with business stakeholders and incorporate feedback.
  
  

Deployment & Handover

• Package and deploy automations to UiPath Orchestrator (dev, test, prod) in a secure and maintainable manner
• Prepare documentation and handover materials for internal support teams.
• Provide knowledge transfer and brief training sessions as needed.
  
  

Optimization & Support

• Monitor bot performance and handle stabilization post-deployment.
• Recommend and implement performance improvements.

Who You Are:-

Technical Skills required:

• 4+ years of relevant experience in similar area.
• 3+ years hands-on UiPath experience
• UiPath Advanced RPA Developer (UiARD) certification (Preferred)
• Prior experience of developing of automation in finance, data operations, or enterprise automation domains
• Strong proficiency in UiPath - Studio, Orchestrator, Assistant, Unattended Bots and Attended Bots 
• Hands-on with REFramework and custom library development 
• Experience with REST APIs, Excel, email automation, file I/O, integration with cloud services (preferably AWS services), JSON/XML data formats
• Exposure to Document Understanding, AI Center, and attended/unattended bots
• Basic scripting: VB.NET / C#  / Python 
• Source control: DevOps -like CI/CD, GitHub 

LLMs, Claude, BI and Analytics (is preferred)

• Familiarity with web automation scenarios, 

Soft Skills:

• Strong analytical and problem-solving mindset
• Self-driven and able to deliver with minimal supervision
• Able to work with cross-functional teams (Operations, Engineering, Product, QA)
• Clear communicator with good documentation discipline
• Collaborative approach with cross-functional teams

Performance Expectations/Metrics

• Delivery of automation processes per agreed milestones and quality standards
• Code quality and stability (defects or incidents post-deployment)
• Reusability and maintainability of code
• Timely reporting of progress and blockers
  

  Important Note: This role requires working from our Pune office 3 days a week (hybrid work model)

The Role

As part of the broader Data organization, the Data Onboarding team ensures clients have a seamless experience connecting their accounts from various financial institutions to Addepar. This role’s primary responsibilities is to assist clients with authorisation requirements for available data feeds, permission account data to authorized Addepar instances, and addressing all feed onboarding related inquiries and requests within SLAs. Client Data Onboarding Specialists sit at the nexus of Addepar's activity and require daily engagement with customers, data providers, and personnel across the organization.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

Important: The working schedule for this role is from 6:30 PM to 3:30 AM IST, U.S. business days. 

What You’ll Do

• Manage the data feed onboarding process for new Addepar clients, which includes but is not limited to: 
• Communicate and explain the data onboarding workflow to clients over calls and emails
• Provide guidance and training to clients on account eligibility and authorisation requirements (e.g LOA forms) for existing and new portfolio data feeds
• Provision received accounts to the appropriate Addepar environments
• Work closely with data providers to triage and address account onboarding requests and issues
• Complete custodian specific setup and feed connectivity workflows
• Assist with maintaining accurate account onboarding instructions and related resources
• Partner with Sales, Solutions Architects, and other internal Data teams to drive positive client experiences
• Collaborate with Product and Engineering to implement process and tooling enhancements that improve onboarding UX and increase operational workflow efficiency

Who You Are

• 3+ years of experience in client-facing roles, specializing in Client Onboarding and Success within the FinTech and financial advisory sector
• Outstanding communication & interpersonal skills with excellent attention to detail
• Fluency in Spanish is preferred and considered a plus for this role
• A strong technical knack with an interest in leveraging modern AI productivity tools (e.g., Claude, ChatGPT) to enhance workflow efficiency and problem-solving
• Ability to think critically and effectively balance multiple projects and processes simultaneously
• Track record of demonstrating self-motivation to take on responsibility, a strong team-player mentality, and passion for delivering client-centric outcomes
• Proactive and diligent in documenting team processes and finding opportunities to improve team workflows
• Familiarity with using Salesforce, Jira, Google Suite, and CRM applications preferable

The Role

We are currently seeking a Senior Frontend Software Engineer to join the AI Platform team, Addepar’s next-generation AI platform that enables seamless insights and interaction through natural language and data intelligence across our AI products.

As a Senior Frontend Engineer, you’ll design and scale the interactive surface of AI Platform products. You’ll work at the intersection of AI, design, and systems engineering, building a class of real-time AI experiences for users — where every frame, token, and scroll behavior matters.

You will collaborate closely with product design, backend, and AI/ML engineers to deliver smooth, trustworthy AI experiences that align with Addepar’s standards of performance, transparency, and reliability.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do

• Design and implement complex, real-time UI features for conversational interfaces — including chat streaming, incremental rendering, and dynamic layouts.
• Build high-performance WebSocket pipelines to handle streamed deltas, retries, and backpressure gracefully.
• Optimize scrolling and rendering performance using requestAnimationFrame, virtualization, intersection observers, and non-blocking state updates.
• Implement fault-tolerant UI logic for reconnection, cancellation, offline recovery, and retry without user disruption.
• Architect state management and caching strategies to maintain consistency between local UI and backend deltas.
• Collaborate with designers to deliver accessible, responsive, and pixel-perfect interfaces across themes and viewport sizes.
• Extend Addepar’s frontend developer experience—refine the build pipeline (Vite/Webpack), test automation (Playwright, Jest), and linting/formatting standards (ESLint, Prettier).
• Instrument client-side telemetry and performance metrics to measure render latency, streaming lag, and user interaction speed.
• Mentor teammates through design reviews and pair programming, contributing to shared components and cross-product standards.
• Work closely with backend and AI/ML teams to co-design message formats, token streaming APIs, and session-level resiliency mechanisms.
• Shape the technical direction of AI Platform’s frontend, contributing to shared libraries, caching strategies.

Technical Fundamentals & Practices -

We’re looking for engineers who demonstrate mastery across the following practices and system fundamentals that empower to ship high-quality, low-latency conversational experiences at scale:

Browser & Rendering Fundamentals : 

• • Deep understanding of the browser’s rendering pipeline—DOM, CSSOM, layout, paint, compositing.
  • Ability to identify and fix layout thrashing, paint storms, and jank through Chrome DevTools performance profiling.
  • Knowledge of animation scheduling via requestAnimationFrame, idle callbacks, and microtask queues.Familiarity with modern web APIs such as IntersectionObserver, ResizeObserver, MutationObserver, OffscreenCanvas, Web Workers, and BroadcastChannel for concurrent or cross-tab coordination.

Asynchronous & Streaming Systems:

• • Strong command of Promises, async/await, generators, and cancellation (AbortController).
  • Familiarity with streaming data protocols (e.g., WebSockets, SSE) and patterns like batching, throttling, and debounce under load.
  • Understanding of backpressure and how to pace UI rendering vs. message ingress.

State & Data Synchronization:

• • Experience designing immutable data flows with fine-grained updates (diffs, patches, deltas).
  • Knowledge of caching, reconciliation, and hash-based change detection (e.g., djb2, CRC32, content hashing).
  • Practices for ensuring consistency between transient client state and authoritative backend models.

UI Architecture & Composition:

• • Familiarity with reactive component frameworks (Svelte preferred; React/Vue acceptable).
  • Experience isolating side effects, using stores/signals, and maintaining predictable reactivity graphs.
  • Ability to decompose large applications into feature modules with lazy loading, error boundaries, and shared design tokens.
  • Ability to evaluate and integrate across frameworks (Svelte, React, Web Components) while maintaining consistent patterns in state, testing, and accessibility.

Performance & Profiling:

• • Proven skill in measuring and optimizing UI latency (first paint, input delay, FPS stability).
  • Comfort with Chrome Performance, Lighthouse, or custom performance markers.Experience building virtualized views (infinite scroll, chat lists, large tables).

Design Systems & Accessibility:

• • Experience building and maintaining reusable design systems with Storybook, Tailwind, or Web Components.Knowledge of accessibility standards (WCAG, ARIA) and best practices for keyboard, color, and screen reader support.Skilled at collaborating with design teams to translate high-fidelity Figma specs into performant, production-ready components.

Resilience, Testing & Observability:

• • Writes defensive code to handle partial data, dropped connections, race conditions, and AbortErrors.
  • Understands test pyramids: unit, integration, and end-to-end (Playwright, Jest, Vitest).
  • Adds telemetry hooks and log events to diagnose production issues and user experience regressions.

Developer Experience & Tooling:

• • Comfortable configuring bundlers (Vite, Webpack) and optimizing build times.
  • Sets up linting, type checking, and pre-commit automation for consistency.
  • Experience with CI/CD, incremental testing, and feature flag rollouts.
  • Experience with AI-assisted developer tools or scripting build/test automation to improve team velocity.

Mindset:

• • You think in systems, not pages. 
  • You balance aesthetics with performance, correctness, and maintainability. You obsess over the invisible details — micro-interactions, latency, and flow — that make complex products feel effortless. 
  • You enjoy teaching others, debugging difficult issues, and making the team move faster through better abstractions.

Who You Are

• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience).
• At least 5 years of professional frontend development experience in a production environment.
• Strong proficiency in TypeScript/JavaScript and deep understanding of asynchronous browser behavior.
• Experience with Svelte, React, or another component-based modern UI framework.
• Strong debugging and performance profiling skills.
• Experience integrating real-time or streaming data into user interfaces.
• Strong communication, collaboration, and mentoring skills.
• Additional certifications or licenses
• Skills and competencies that also include soft skills necessary for success
• Bonus: Familiarity with AI/LLM-powered interfaces, progressive streaming UIs, or data-rich visualization frameworks.
• You care deeply about user experience, developer productivity, and measurable performance — and you know that excellence in frontend engineering is achieved through curiosity, rigor, and empathy for both users and teammates.

The Role

We are currently seeking a Senior Software Engineer, Backend to join the AI Platform team, which powers intelligent experiences across our AI products.

As a Senior Software Engineer, you’ll design, build, and ship services across a distributed microservices platform that supports capabilities such as document extraction, portfolio chat, and semantic retrieval capabilities. You’ll work across backend services, cloud-native data systems, async processing, and real-time streaming infrastructure, collaborating closely with frontend, product, and AI/ML engineers to deliver reliable and scalable backend systems.

This role is ideal for an engineer who thrives on solving hard backend problems, writes clean and tested production code, and can own features end-to-end in a fast-moving AI product team.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do

• Design, build, and maintain backend services that power AI Platform products
• Develop production systems in Python or other modern backend languages and frameworks, with strong emphasis on maintainability, reliability, and performance
• Build and evolve REST APIs and/or gRPC services, including request validation, error handling, and versioning
• Design and maintain relational and/or NoSQL data models across systems such as MySQL, PostgreSQL, DynamoDB, and Redis
• Build and maintain asynchronous processing flows using queues and worker-based systems
• Work on real-time streaming features, retrieval workflows, and service communication patterns that support AI interactions
• Write strong automated tests, including unit and integration coverage, and contribute to CI-based quality gates
• Debug production issues across service boundaries using logs, metrics, and system reasoning
• Collaborate closely with frontend, product, and AI/ML teams to define API contracts and deliver end-to-end features
• Contribute to code reviews, system quality, and engineering standards across the team

Who You Are

• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience)
• At least five years of professional backend software engineering experience in production environments
• Strong proficiency in at least one production backend language such as Python, Go OR Java and the ability to work effectively across a polyglot environment
• Strong software engineering fundamentals, including system design, debugging, code quality, testing, and operational ownership.
• Experience building and maintaining REST APIs and/or gRPC services
• Experience with relational databases and/or NoSQL data stores in production systems
• Experience with asynchronous processing patterns such as queues, workers, retries, and failure handling
• Proficiency with Docker and familiarity with modern backend development workflows
• Strong testing discipline, including unit testing, integration testing, and mocking dependencies
• Experience building or operating services on cloud infrastructure in a production context
• Strong communication and collaboration skills, with the ability to work effectively across frontend, product, and AI/ML teams
• We are looking for a strong backend software engineer, not someone whose experience is limited to scripting, framework usage, or cloud configuration without corresponding depth in production systems engineering
• Familiarity or working knowledge of AWS will be a huge plus
• [Bonus] Experience with modern backend frameworks such as FastAPI, Flask, Spring Boot, Go service frameworks, or equivalent
• [Bonus] Experience with Redis, WebSockets, or real-time streaming systems
• [Bonus] Experience with LLM/AI integration, semantic retrieval systems, or token streaming
• [Bonus] Experience with observability tooling, structured logging, or Sentry/metrics systems
• [Bonus] Experience in fintech or regulated domains

The Role

We are currently seeking a Staff Software Engineer, Infrastructure to join the AI Platform team that powers seamless insights and interaction through natural language and data intelligence across our AI products.

As a Staff Software Engineer, you’ll architect, build, and operate the backend and platform systems that power AI Platform. You’ll work across service design, distributed systems, cloud infrastructure, event-driven processing, observability, CI/CD, and production reliability, helping shape the technical direction of a platform that supports scalable, client-facing AI experiences.

This role requires a strong software engineering foundation combined with deep infrastructure and systems thinking. We are looking for an engineer who can write high-quality production code, make sound architectural tradeoffs, and own platform capabilities end-to-end — not someone focused only on scripting, cloud configuration, or infrastructure tooling in isolation.

You will collaborate closely with frontend, product, and AI/ML engineers to deliver reliable, secure, and scalable systems that align with Addepar’s standards of performance, resilience, and trust.

Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available for this position.

What You’ll Do

• Design, build, and operate backend services and infrastructure that power AI Platform products.
• Write high-quality production code for platform and service layers, with strong emphasis on maintainability, reliability, and performance.
• Architect and evolve distributed systems that support AI Platform capabilities such as real-time interactions, asynchronous processing, and secure data workflows.
• Build and extend cloud-native infrastructure across core services, networking, storage, identity, and observability layers.
• Design and maintain infrastructure as code using Terraform, including reusable modules, environment management, and drift-safe workflows.
• Build and operate Kubernetes/EKS-based services, including deployment strategies, health checks, scaling configuration, and containerization workflows.
• Design and improve CI/CD pipelines, release workflows, and engineering productivity systems.
• Build and maintain asynchronous and event-driven systems using queues, RPC/service communication, and resilient failure-handling patterns.
• Design and evolve relational and NoSQL data models, including schema design, migrations, replication, and access patterns.
• Build and maintain observability across metrics, logs, tracing, dashboards, and alerting.
• Apply secure-by-default engineering practices across IAM, secrets, encryption, network isolation, and production operations.
• Mentor engineers through code review, design review, incident reviews, and technical guidance.
• Drive technical decisions that improve platform reliability, scalability, developer productivity, and long-term system health.

Who You Are

• Bachelor’s degree in Computer Science, Engineering, or related technical field (or equivalent practical experience).
• At least 8+ years of professional software engineering experience, including significant experience in backend, infrastructure OR platform oriented work.
• Strong proficiency in at least one production backend language such as Python, Go, OR Java and the ability to work effectively across a polyglot environment.
• Strong software engineering fundamentals, including system design, debugging, code quality, testing, and operational ownership.
• Deep hands-on experience with cloud infrastructure in production environments.
• Strong experience with infrastructure-as-code workflows such as Terraform or equivalent tools.
• Experience with Kubernetes/EKS, Docker, and modern deployment practices.
• Experience designing or extending CI/CD pipelines in production environments.
• Experience with distributed systems, microservice communication, message queues, asynchronous processing, and failure handling.
• Experience with both relational and NoSQL database design in production systems.
• Strong observability and production-debugging skills.
• Strong communication, collaboration, and mentoring skills.
• Ability to operate as a software engineer first: we are not looking for someone who is only strong in scripting, cloud configuration, or infrastructure tooling without corresponding depth in production software engineering.

Bonus

• Experience with AI/ML platform tooling such as Databricks, Spark, MLflow, or model-serving systems.
• Experience with real-time streaming or WebSocket-based systems at scale.
• Experience with multi-region architectures, data residency, or failover design.
• Experience in fintech or other highly regulated environments.
• Experience optimizing platform cost, performance, and reliability tradeoffs at scale.

Position Overview

The Supply Chain Orchestration Knowledge Expert is a domain and subject matter expert responsible for developing, structuring, and maintaining the messaging and positioning and subsequent knowledge artifacts that power TraceLink’s Agentic Orchestration Solutions (AOS) go-to-market execution, field team enablement campaigns, and AI-driven experiences for both the customer personas and TraceLink field teams.   

Each Supply Chain Orchestration Knowledge Expert serves as the global owner of a supply chain orchestration domain—such as Manufacturing, Commerce, Logistics, or Transportation—and builds the messaging and positioning frameworks, insights, and artifacts that support executive-level conversations across all relevant customer segments.

This is a unique role combining industry analysis, supply chain orchestration, product expertise with strategic storytelling, knowledge artifact creation, and curation for executive buyer experiences.

Responsibilities

Supply Chain Orchestration Domain Expertise

• Serve as TraceLink’s subject-matter expert for a specific supply chain orchestration supporting Product Marketing, Demand Gen, Content, Sales Enablement, and Sales

• Build a deep understanding of end-to-end processes, personas, pain points, business value, and the life sciences and healthcare supply chains ecosystem.

• Participate in select cross-functional teams and executive engagements as required.

Strategic Narratives, Messaging, and Positioning

• Develop strategic narratives, messaging, and positioning of TraceLink products and solutions targeting executive personas - specifically the CIO.

• Create and maintain competitive differentiation and positioning against alternative solutions.  

• Continuously monitor the effectiveness of messaging through routine engagement with field teams, customers, and prospects.

AI and LLM Buying Experiences

• Build and maintain an LLM-ready messaging framework with modular, metadata-tagged positioning and value narratives.

• Ensure taxonomy alignment and version control so messaging remains consistent, current, and easily ingested by the LLM.

• Curate and govern the product and industry knowledge corpus to deliver accurate, compliant, and authoritative model outputs.

• Design executive-ready LLM experiences using prompt patterns, scenarios, and value-story templates for internal enablement and external buyer interactions.

Deliverables and Key Knowledge Artifacts

• Create and maintain a standard set of knowledge artifacts that inform and drive the executive interactions, field team enablement, and LLM-driven experiences, including but not limited to:

  • Domain Messaging & Positioning Playbook capturing value pillars, executive narratives, persona messaging, and competitive differentiation.

  • LLM-Ready Messaging Framework & Metadata Schema defining modular message objects, taxonomies, and canonical terminology for model ingestion.

  • Curated Knowledge Corpus Library, including process maps, capability descriptions, deal reviews, win stories, case studies, industry insights, and glossary of terms.

  • Executive Buyer Narrative Decks tailored for CIO, COO, and VP-level personas with business cases, ROI framing, and transformation stories.

  • Competitive Landscape & Differentiation Dossiers analyzing alternative solutions with scenario-based differentiation and objection-handling modules.

  • LLM Prompt Patterns, Conversation Flows, and Experience Blueprints enabling consistent, high-credibility internal and external AI-driven interactions.

  • Field Enablement Knowledge Packs providing talk tracks, use-case stories, objection handling, value frameworks, and LLM-powered microlearning assets.

Skills and Qualifications

• 3 - 5 years in a product management, product marketing, solution consulting, or analyst roles with a specific focus on life sciences manufacturing, logistics, and/or adjacent roles.

• Exceptional writing and presentation skills, especially for senior executive audiences.

• Ability to create clear, structured narratives from ambiguous or highly technical information.

• Experience producing content such as briefs, whitepapers, frameworks, or strategic analyses.

• Ability to develop insights, messaging, positioning, and competitive analyses that support commercial teams.

• Familiarity with large language models (LLMs), conversational AI, or retrieval-augmented systems.

• Experience in structuring and tagging content for AI/ML consumption is a plus.

• Ability to work cross-functionally with Product, Marketing, Sales, Solution Consulting, Value Engineering, and Services teams.

Education: Bachelor’s degree or equivalent professional experience required.

Travel: Ability to travel up to 25-40% as required by business needs.

• Own the end-to-end delivery portfolio across APAC/EMEA from post-sales handover to go-live and hypercare
• Be accountable for revenue realization, timelines, scope adherence, and customer outcomes
• Drive forecast accuracy and delivery predictability across all engagements
• Ensure delivery is aligned to commercial commitments and contractual milestones

• Establish and enforce strong delivery governance frameworks (Playbooks, RACI, Gates)
• Drive visibility of portfolio health (RAG, ARR at risk, phase bottlenecks) to leadership
• Ensure no uncontrolled slippage - enforce scope, timeline, and quality discipline
• Standardize delivery practices to create a repeatable, scalable execution model

• Own alignment across Sales, Solutioning, Product, Engineering, QA, and Customer Success
• Ensure strong handoffs from Sales → Solutioning → Delivery to eliminate ambiguity
• Proactively identify and resolve execution bottlenecks and dependencies
• Partner with Engineering leadership to ensure capacity and delivery feasibility alignment

• Act as the senior escalation owner for critical accounts and delivery risks
• Build strong relationships with customer leadership and enterprise stakeholders
• Lead SteerCo and governance forums, representing Anchanto’s delivery position
• Ensure transparent communication, expectation setting, and trust-building

• Drive initiatives to improve delivery efficiency, automation, and use of AI in operations
• Continuously improve tools, processes, and delivery frameworks
• Build a scalable delivery engine to support multi-region, high-growth demand
• Identify opportunities to reduce cost-to-serve and improve margins

• Build and lead a high-performing Delivery organization
• Coach Delivery Managers to operate as owners, not coordinators
• Drive accountability, ownership, and customer-first culture
• Own hiring, capability development, and succession planning

• Experience: 12–16 years in Delivery / Professional Services / SaaS implementations, with 6–8+ years in leadership roles
• Domain Expertise: eCommerce, OMS/WMS, supply chain, integrations, or enterprise SaaS
• Delivery Scale: Proven experience managing multi-region, high-ARR delivery portfolios
• Governance: Experience building delivery frameworks, PMO maturity, and execution models
• Tools: Strong working knowledge of ClickUp/Jira, project tracking, and reporting systems
• Stakeholder Management: Experience engaging CXOs and enterprise customers
• Education: Engineering / Business / Supply Chain (MBA preferred)

• Strong ownership mindset (business + delivery)
• Ability to drive predictability and control in complex environments
• Deep understanding of delivery operations, risk, and execution models
• Strong problem-solving and decision-making under ambiguity
• Excellent communication, influence, and stakeholder management
• Data-driven approach to portfolio management and prioritization
• Ability to scale teams and systems, not just manage projects

• Predictable delivery with high on-time go-live rates
• Improved revenue realization and forecast accuracy
• Reduced escalations and faster resolution cycles
• Strong governance with clear visibility of risks and bottlenecks
• High-performing, scalable delivery teams
• Improved customer satisfaction and retention

So, what’s the role all about?

This position will lead multiple R&D teams that are developing a portfolio of enterprise grade and cloud scale products.

We are looking for someone who is an established R&D leader, passionate about building and operating cloud native and highly distributed products that are used by millions of users in a SaaS business model, has a deep understanding of agile development methods and can lead a high-performance R&D team.

How will you make an impact?

Lead a team of talented engineers – Dev and QA. Manage all people aspects, such as hiring, reviews, mentoring, promotions, etc.

Own the development and delivery of the components under your team’s responsibility

Work with the Product Owner and Software Architect on the planning of the development activities of the product

Act as Scrum Master for the development team

Liaise with the scrum team to promote good work practices & continuous improvement

Work hands-on with your team members on development activities, perform code reviews and ensure high-quality engineering standards are achieved, including Test Automation & Unit testing

Be part of the leadership team, involved in release planning and product strategy

Engineering contact for product defect management and product support questions

Have you got what it takes?

B.E./B. Tech or M.E./M.Tech in Computer Science, Electronics Engineering OR equivalent

3+ experience managing a team of software engineers, working on enterprise products

13+ years of experience in software engineering, with Java

Proven track record of managing software projects to on-time and on-budget delivery

Technological skills and background in software development

Leadership skills - experience in leading, coaching, and motivating people

Excellent communication skills, fluent in English

Demonstrated ability to influence others, especially in sensitive or complex situations

Great initiative; proven ability to tackle projects with a can-do attitude

Comfortable with working in a complex matrix environment

Proven experience in operating within a global environment

Proven experience with working with Agile Scrum teams

Experience with iterative or Agile methodologies and techniques; Scrum approaches to software deliver a plus

Experience in working with Product companies developing enterprise software is a must

AI First Mindset

• LLM fundamentals (prompting, RAG, embeddings, hallucination control)
• ML lifecycle (training → deployment → monitoring)
• NLP basics (intent detection, summarization, sentiment)
• AI system design (human-in-loop, guardrails)

Leadership with Technical Depth

• Drive design discussions
• Mentor engineers in AI and system design
• Balance delivery and innovation
• Influence cross-functional teams
• Ability to translate problems into AI-driven solutions.

What’s in it for you?

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

Enjoy NICE-FLEX!

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

Requisition ID: 10602
Reporting into: Group Manager
Role Type: People Manager

Job Description - Data Analyst
Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re
enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

1. What you will be doing?

As a Data Analyst, your key responsibilities revolve around utilizing Python and SQL
for data manipulation and analysis, coupled with leveraging visualization tools such
as Tableau, PowerBI, and Web Applications to present insights effectively. Your
primary duties include:

Data Analysis: Employing Python and SQL to extract, clean, and analyze data to derive actionable insights.
Visualization Techniques: Using Tableau, PowerBI, and Web Applications to create intuitive and insightful visual representations of data for effective
communication.

Statistical Understanding: Applying statistical concepts and understanding data structures to interpret data patterns and trends accurately.

2. What we are looking for?

Technical Expertise:

• Proficiency in Python, SQL, and data manipulation for analysis purposes.
• Experience in data visualization tools such as Tableau, PowerBI, and Web Applications for creating interactive and informative dashboards.
• Solid understanding of statistics and data structures for accurate data interpretationProven problem-solving skills and a solution-oriented mindset.

Attitude & Soft Skills:

Excellent communication skills to collaborate effectively within teams and with stakeholders.
Strong business acumen with an interest in business-facing roles.

Adaptability and a start-up mentality to thrive in a dynamic environment.

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.

Your responsibilities will include:

• Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
• Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

What we are looking for?

• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP preferred), ML Modeling, Spark & Kafka.
• Proven problem-solving skills and a solution-oriented mindset.
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms.
• Successful candidates often possess Computer Science, Electronics, and Communication Engineering degrees.

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?

As a Data Scientist, your primary role revolves around leveraging Python and SQL to conduct data science modelling, employing statistical and machine learning algorithms to derive actionable insights. Your responsibilities will encompass:

• Data Modeling: Developing and implementing sophisticated data science models to extract valuable insights from complex datasets.
• Algorithm Implementation: Applying statistical and machine learning algorithms to solve business problems and enhance decision-making processes.
• Visualization: Utilizing visualization tools like Tableau and PowerBI to present findings in a compelling and understandable manner.
• Cloud-Based Deployment: Deploying models on cloud platforms such as MS Azure, GCP, and AWS, optimizing their functionality and scalability.

What we are looking for?

• Proficiency in Python, SQL, data science modeling, and statistical analysis.
• Strong grasp of ML algorithms and their implementation in real-world scenarios.
• Experience in visualization tools like Tableau and PowerBI, along with knowledge of deploying models on cloud platforms (MS Azure, GCP, AWS).
• Proven problem-solving skills and a solution-oriented mindset.
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Candidates with similar skill sets and experiences have excelled in technology firms or consultancy firms.
• Successful candidates often possess Computer Science, Electronics and Communication Engineering degrees.

About Druva 

You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.

Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.

Visit druva.com and follow us on LinkedIn, X and Facebook.

The Foundation team at Druva is responsible for designing a highly performant and scalable cloud file system on the Druva cloud in AWS.  This file system is used to back up billions of files per day, translating to millions of metadata requests per second across regions. To build this petabyte-scale, distributed, services-oriented cloud file system, various key concepts like file system metadata, versioning, and eventual consistency are used along with leveraging various AWS services like S3, DDB, and Kinesis. A purpose-built key-value store is used for managing these metadata requests.  While the core file storage engine provides the backup storage for all the Druva products, allied components like the indexing engine, key-value store, and big data pipeline provide scalable search, analytics, and compliance services. The team diligently keeps track of newer services, storage tiers, and various aspects of existing AWS services to take advantage of the continuous evolution of services and use them effectively in the background.

As a Sr. Software Engineer in the filesystem team, you will be providing technical ownership to create high-quality software by owning the design and implementation of features within the filesystem. This role will require excellent communication skills as you will collaborate with architects and other senior engineers to refine requirements, and other product owners to drive features to completion with good quality. 

Some of the key areas the team is working on 

• Improving resiliency of the filesystem with periodic incremental consistency checks, both for petabytes of metadata and hundreds of petabytes of data residing in the cloud.  Metadata versioning and change tracking.
• Third-party secondary storage appliance integration for data centre data protection.
• Extend the filesystem to store a variety of workloads beyond files/folders, e.g., emails and messages
• Optimise the filesystem for cost using  strategies and algorithms to reduce cloud cost  (eg. leveraging cheaper cloud storage tiers and reducing IO requests)
• Develop tools that help debug production issues more efficiently

Key Skill

• 6+ years of experience, preferably in a product company with exposure to storage architectures.
• Strong demonstrable experience in systems programming, especially in multithreading, synchronization, fault tolerance and data consistency at scale.
• Hands-on experience in the design and development of complex products. 
• Extensive hands-on experience in Go/Python/C/C++/Java on Unix/Linux platforms.

A strong understanding of complex concepts related to computer architecture, data structures, algorithms, design concepts, and programming practices.

• Experience in working with SoA (Service-oriented Architecture), especially in the service’s backend. 

 Desirable Skills:

• Excellent written and verbal communication skills
• Experience in Cloud Technologies (preferably AWS) will be advantageous
• Working knowledge of Docker and Kubernetes will be an advantage
• Working knowledge of storage and file systems, including file system consistency checks.
• Hands-on experience using generative AI for codegen

Role and Responsibilities:

• The Sr. Software Engineer's role is to be the technical owner in building enterprise-grade, scalable, performant systems which deliver the required functionality 
• Should be able to design and implement sufficiently large and complex features and/or architectural improvements to the product.
• Suggest and propose solutions to complex design problems.
• Identify areas of engineering improvements to the product and work with product architects and the team to address them.
• Should be able to technically guide junior engineers with feature design and implementation.
• Review the design and implementation done by junior engineers.
• Should be able to independently handle complex escalations and guide others as required.
• Be able to write technical blogs and make technical presentations in internal and external forums

Qualification

• B.Tech / B.E / M.E./ M.Tech (Computer Science) or equivalent

About the Role:

As a Product Owner at Abacus Insights, you will play a pivotal role in bringing to market a cutting-edge cloud data platform which enables an industry leading data usability for healthcare payers, ultimately enabling them to turn their vast data into insights that drive improved outcomes. This role requires a robust background in software development or data engineering to effectively translate high-level product vision and customer needs into detailed requirements. You will be working collaboratively with engineering and stakeholders from across the organization to ensure the development of features that optimize value and meet customer needs. As a key member of the product team, you will be responsible for managing Abacus products throughout their lifecycle to include opportunity identification, demand intake, roadmap management, requirement development and analysis, story grooming, design reviews, product acceptance, go-to-market, and sunset planning. This role requires a person who can successfully manage across all aspects of product management while keeping focused on delivering true customer ROI and excelling as a technical translator of business need into technical specifications.

Your day to day: 

• Translate the strategic direction set by the Product Manager into specific product features and oversee development of these features efficiently within the agile framework.
• Support engineers comprehensively throughout all aspects of the Software Development Life Cycle (SDLC), providing guidance, insights, and assistance as necessary.
• Assume end-to-end responsibility for the lifecycle of product features you own
• Act as the primary translator between business needs and technical requirements, effectively bridging the gap to ensure alignment between stakeholders and engineering teams.
• Work with cross-functional teams to analyze current product performance and identify areas for improvement.
• Communicate comprehensive updates, progress reports, and insights related to the product's development to company leadership and other audiences.
• Collaborate with stakeholders, customers, and the development team to gather comprehensive requirements and document customer scenarios, pain points, and success criteria for product feature-sets and features.
• Estimate anticipated impact of each product feature and craft effective value statements to be used in roadmap prioritization.
• Create, prioritize, and manage the product backlog to ensure that the team is working on the most valuable items first.
• Ensure that the development team understands the scope and complexity of the tasks and can accurately estimate the level of development effort.
• Participate in sprint planning, reviews, and retrospectives, ensuring that the development team is building the product as envisioned and meeting the acceptance criteria.
• Act as the primary liaison between stakeholders and the development team, conveying updates, managing expectations, and gathering feedback.
• Ensure visibility, transparency, and clarity of the product backlog for all stakeholders involved.
• Manage product acceptance testing phases to ensure features not only add value but also align with customer needs.
• Coordinate release activities to ensure seamless deployment.
• Prepare relevant documentation and conduct internal user training for new features.
• Collaborate with client management to ennsure they have what they need to support our clients in optimizing the impact of the product.

What you bring to the team:

• A deep understanding of data software engineering or a minimum of 3 years of software development or data engineering experience.
• Domain expertise in shipping Software as a Service (SaaS) products.
• Deep domain expertise in cloud technologies, including AWS, Azure and/or GCP.
• Skilled in database concepts and tools (preferably on Databricks and Snowflake).
• Deep understanding of the data platform R&D processes and agile methodologies.
• Experience with big data, ETL and data pipelines, security and privacy, DevOps, or automation.
• BS or MS in Computer Science, or related fields, or equivalent experience in a technical product owner role or an adjacent position.
• Proven ability to influence and coordinate cross-functional teams to execute plans in highly technical environments.
• Exceptional communication skills critical for translating business requirements into technical specifications, and communicating with technical and non-technical audiences.
• Well-developed strategic-thinking skills, with the ability to inspire and lead others.
• A highly proactive get it done attitude and the skills to back it up.
• Demonstrated ability to thrive in a fast-paced, dynamic startup environment.

What we would like to see, but not required:

• US Healthcare Payor or Provider industry experience.
• Experience with healthcare interoperability standards such as HL7 V2, FHIR and X12.
• Experience with integrating or implementing healthcare-related EMPI/MDM workflows.

What you’ll get in return :

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements :

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST