Role Overview

We are looking for a highly experienced Senior QA Manager to own end-to-end quality for SonicOS, the core operating system powering SonicWall’s next-generation firewall products. This is a high-impact leadership role where you will define quality strategy, drive automation and test infrastructure investments, and partner closely with Product Management, Development, Release Engineering, DevOps, and Support teams to ensure every release meets high standards of reliability, security, and customer trust.

You will be responsible not just for test execution, but for shaping how quality is built into the product lifecycle — from early design reviews and threat modelling to release readiness and post-release learning.

Key Responsibilities

Quality Strategy & Release Ownership

• Define and continuously improve the QA strategy for SonicOS across major releases, patches, and hotfixes
• Establish quality gates, entry/exit criteria, and clear release readiness standards
• Drive risk-based testing and shift-left practices to catch issues early
• Own go/no-go decisions for releases from a quality standpoint

Firewall Domain & Technical Leadership

• Provide strong technical leadership across firewall features such as:
• Stateful firewall, NAT, VPN (IPSec/SSL), routing, HA
• Security services like IPS, DPI-SSL, Gateway AV, App Control, Web Filtering
• Review PRDs, design documents, and architecture proposals with a quality & security mindset
• Define comprehensive test strategies covering:
• Functional correctness and complex E2E customer workflows
• Performance, scale, and stress (throughput, sessions, DPI impact)
• HA failover, upgrades/downgrades, config migrations, and long-run stability
• Champion security and negative testing to validate abuse cases and threat scenarios

Automation, CI/CD & Test Infrastructure

• Define the long-term automation vision (UI, API, CLI, E2E) and measurable coverage goals
• Partner with automation leads to build scalable, reliable frameworks integrated into CI/CD
• Drive stability and reliability of automated test suites (reduce flakiness, improve signal)
• Own strategy for testbeds spanning hardware appliances, virtual firewalls, and cloud deployments
• Work with infra teams to ensure availability, capacity planning, and reliability of test environments

Execution Excellence & Metrics

• Own and track key quality metrics: defect leakage, escape rate, regression effectiveness, automation ROI, flakiness trends
• Lead regular release readiness and quality reviews with senior stakeholders
• Drive deep root cause analysis for production escapes and systemic quality gaps
• Convert learnings from field issues into preventive quality improvements

People Leadership & Stakeholder Influence

• Build, mentor, and retain a strong leadership bench of QA managers, leads, and senior engineers
• Set clear expectations, career paths, and technical growth plans for the QA organization
• Influence engineering leadership and PMs to prioritize quality, reliability, and customer impact
• Represent QA in leadership forums, customer escalations, and cross-functional reviews

Required Skills & Experience

• 10+ years of total technical experience, including at least 2+ years in a management or leadership role
• Strong background in testing firewall / network security products or similar system software
• Deep understanding of networking and security fundamentals (TCP/IP, routing, NAT, VPN, HA, IPS/DPI concepts, authentication mechanisms)
• Experience owning quality for complex, large-scale system software releases
• Proven leadership experience managing and scaling QA teams across geographies
• Strong exposure to automation strategy and CI/CD-driven quality practices
• Excellent communication skills with the ability to influence senior technical stakeholders

Good to Have

• Prior experience with SonicOS or comparable firewall OS platforms
• Exposure to security compliance programs (FIPS, Common Criteria, SOC2)
• Experience testing in hybrid environments (hardware + virtual + cloud)
• Experience handling customer escalations and field issue RCA

What Success Looks Like

• Predictable, high-quality SonicOS releases with reduced Sev1/Sev2 customer issues
• Measurable improvement in automation coverage and test effectiveness
• Faster feedback cycles for Dev and PM through shift-left and CI/CD integration
• Strong QA leadership bench and high team engagement
• Improved customer trust and reduced critical escalations

#LI-KB7

#LI-Remote

#LI-Pune

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.

What’s in it for you?

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career
There are plenty of sales jobs out there. The question is whether any of them will help you grow in your career? Will you be challenged by teammates to achieve your potential? Or are they roles that will ask you to do more of what you've already mastered. At Fictiv, you'll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact In this Role

• Be proficient in all aspects of the Software Development Life Cycle.
• Lead projects all the way from design to deployment while co-ordinating with other teams in the company.
• Guide the adoption of new processes or technical tools by conducting evaluations of alternatives and thinking critically about the fit with our future technical direction.
• Provide oversight for technical quality, standards, and guidelines.
• Be the technical anchor for the team, demonstrate leadership and play a key role in guiding the team.
• Mentor and provide training for other technical team members.
• Contribute ideas to improve team performance, technical processes, best practices in all aspects of software development.

Area Of Responsibility

• Interface with Product owners and Stakeholders to understand & clarify requirements
• Author technical documents that will fulfill Fictiv's current requirements and scale for future business goals as well.
• Implement high quality, scalable solutions following best practices, including configuration and code.
• Deploy solutions and code using automated deployment tools
• Take ownership of technical deliverables, ensure that quality work is completed, fully tested, delivered on time.
• Conduct code reviews, optimization, and refactoring to minimize technical debt within Salesforce implementations.
• Collaborate with cross-functional teams to integrate Salesforce with other systems and platforms, ensuring seamless data flow and system interoperability.
• Identify opportunities for process improvements, mentor and support other developers/team members as needed.
• Stay updated on new Salesforce features and functionalities and provide recommendations for process improvements.
• Debug production issues; minimize impact to the business, create plans to fully address/correct/remove temporary solutions once the immediate urgent issue is resolved.

Desired Traits

• 8-10 years of experience in Salesforce development
• Proven experience in developing Salesforce solutions with a deep understanding of Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
• Have worked in Salesforce CPQ, Sales, Manufacturing, Service, Data Cloud.
• Experienced in designing and implementing custom solutions that align with business needs.
• Strong knowledge of Salesforce data modeling, reporting, and database design.
• Demonstrated experience in building and maintaining integrations between Salesforce and external applications.
• Strong unit testing, functional testing and debugging skills
• Strong understanding of best practices.
• Active Salesforce Certifications are desirable.
• Experience in Mulesoft is a plus
• Excellent problem solving, decision-making and critical thinking skills.
• Excellent communication skills and the ability to translate complex technical requirements into actionable solutions.
• Collaborative, a team player.
• Exhibit initiative, integrity and empathy.
• Enjoy working with a diverse group of people in multiple regions.
• Comfortable not knowing answers, but resourceful and able to resolve issues.
• Self-starter; comfortable with ambiguity, asking questions and constantly learning.
• Customer service mentality; advocates for another person's point of view.
• Methodical and thorough in written documentation and communication.
• Culture oriented; wants to work with people rather than in isolation.

About the Role

We are looking for a Senior Software Engineer, Reliability, you will serve as a hands-on technical leader within the SRE team, guiding senior engineers, influencing product development teams, and ensuring the systems we operate are built to be reliable, scalable, and observable from the ground up.

You will drive strategic initiatives, mentor others in the practice of SRE, and help define architectural best practices across our platform. This role is pivotal in aligning teams, enforcing high standards, and scaling SRE principles globally within Veeam.

What You’ll Do

Reliability Engineering & Resilience

• Design and evolve infrastructure to be highly available, fault tolerant, and scalable across public clouds (initially Azure, with future expansion plans to other providers).
• Establish and maintain SLIs, SLOs, and error budgets that define and enforce reliability objectives.
• Lead incident response, analysis, blameless postmortems, and sharing sessions in order to maximize learning across our entire engineering team and driving changes to the entire socio-technical engineering system.

Observability & Operational Excellence

• Drive adoption of deep observability practices, ensuring telemetry, logs, metrics, and tracing are comprehensive and actionable.
• Develop automation and self-healing tools to reduce toil and support Veeam’s fleet management strategy.
• Participate in on-call rotations and lead operational excellence across the stack.

Engineering at Scale

• Contribute to infrastructure as code (IaC), CI/CD systems, deployment automation, and scalable config management.
• Integrate and extend monitoring and chaos engineering tools to validate reliability assumptions under load and failure conditions.
• Implement testing strategies, canary deployments, and release validation pipelines to protect production environments and allow teams to safely deliver new features as quickly as possible.

Collaboration & Culture

• Embed within product and platform teams to champion reliability from design through delivery.
• Contribute to a learning culture focused on continuous improvement and proactive risk management.
• Mentor engineers and advocate for DevOps/SRE best practices across global teams.

What You’ll Bring

• 5+ years of hands-on experience in a Software Engineering role with at least 2 years in Site Reliability, Platform Engineering, or similar.
• Deep experience building systems on public cloud providers (Azure preferred)
• Strong programming skills in JS, Node, Typescript, Go, Java, C#, or similar.
• Proven track record in delivering monitoring, alerting, and observability tooling (e.g., Prometheus, Grafana, OpenTelemetry).
• Experience with IaC tools like Terraform/Pulumi, and container orchestration (e.g., Kubernetes).
• Solid understanding of distributed systems, cloud networking, and cloud-native system design.
• Excellent communication and collaboration skills across geographies and disciplines.

Bonus Skills

• Experience working on large-scale B2B SaaS platforms.
• Background in chaos engineering, resilience testing, performance testing, load testing, or incident learning programs.
• Familiarity with compliance frameworks (e.g., ISO, SOC 2, GDPR, FEDRAMP/CMMC).

What You’ll Get

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
  Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application.

#LI-KP1
#Hybrid

What's the Role All About?

The Tech Manager is a senior technical leadership role responsible for driving the design, delivery, and quality of AI-driven and Conversational AI solutions across the NICE CXone ecosystem. With 15+ years of experience, you will lead and mentor a high-performing engineering team, bring deep expertise in AI models, AWS Knowledge Hub, and AWS Cloud, and serve as a key technical authority across cross-functional delivery teams. This role blends hands-on technical depth with strong people management, ensuring both engineering excellence and team growth.

How Will You Make an Impact?

Technical Leadership:

• Define and govern technical standards and best practices for AI and Conversational AI solution delivery.
• Provide hands-on guidance on the design and implementation of integrations using APIs, modern web technologies, and authentication standards.
• Lead the development of proofs of concept (PoCs) and production-ready solution components leveraging AWS Cloud, AWS Knowledge Hub, and AI/ML models.
• Drive prompt engineering, conversational design, and AI orchestration best practices across the team.
• Oversee testing, validation, and go-live activities to ensure solutions meet quality, performance, security, and usability standards.

People Management & Team Development:

• Lead, mentor, and develop a team of engineers — conducting performance reviews, supporting career growth, and fostering a culture of continuous learning.
• Define and uphold engineering standards, coding guidelines, and delivery frameworks across the team.
• Identify skill gaps and build team capability in emerging areas such as Generative AI, AWS services, and enterprise conversational platforms.
• Drive a collaborative, inclusive, and high-accountability team culture.

Technical Problem Solving & Quality:

• Diagnose and resolve complex technical challenges across SaaS applications, cloud environments, AI integrations, and data flows.
• Ensure all implementations meet enterprise-grade standards for quality, scalability, security, and performance.
• Produce and review key documentation including architecture specifications, test strategies, and deployment materials.

Delivery & Process Excellence:

• Drive Agile/Scrum delivery practices including sprint planning, retrospectives, and release management.
• Define and continuously improve engineering processes, documentation standards, and delivery frameworks.
• Align technical roadmap planning with business priorities and stakeholder expectations.
• Manage escalations effectively and maintain strong cross-functional collaboration with Implementation Engineers, Consultants, Project Managers, and Customer Success teams.

Collaboration & Stakeholder Engagement:

• Partner with senior stakeholders, customers, and cross-functional teams to translate business requirements into technical solutions.
• Participate in customer workshops, design reviews, and technical discussions — communicating architecture decisions and implementation strategies with clarity and confidence.
• Maintain transparent and consistent communication across all delivery teams.

Have You Got What It Takes?

Experience & Education:

• Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent work experience.
• 15+ years of professional experience in software engineering or technical delivery roles, with a focus on AI, digital channels, or bot/conversational applications preferred.
• 5+ years in a technical leadership or people management role (Engineering Manager, Tech Lead, or similar).

Technical & Architecture Skills:

• 7+ years of hands-on software development experience, with at least 2–3 years in a tech lead or architect capacity.
• Strong proficiency in modern programming languages such as Java, Python, C#, or JavaScript/TypeScript.
• Deep knowledge of AWS Cloud services and AWS Knowledge Hub; familiarity with Azure or GCP is a plus.
• Proven experience working with AI/ML models, Generative AI frameworks, and enterprise AI orchestration patterns.
• Strong expertise in:
• Web APIs, SOAP, and REST implementations
• Modern authentication standards (OAuth2, OIDC, SAML)
• Browser and web security (CORS, X-Frame Options)
• HTML/CSS and front-end fundamentals
• Prompt engineering and AI integration patterns
• Solid understanding of CI/CD pipelines, DevOps practices, and software architecture principles.
• Proficiency in databases (SQL/NoSQL) and data integration patterns.
• Strong understanding of conversational UX, AI-driven interfaces, and enterprise AI platforms.

Leadership & People Management:

• Demonstrated experience managing and growing engineering teams, including performance management and career development planning.
• Ability to define technical vision, establish engineering standards, and align team deliverables with organisational goals.
• Strong stakeholder management skills, including handling escalations and influencing at senior levels.
• Experience driving technical roadmap planning across multi-disciplinary teams.

Communication & Collaboration:

• Clear, confident written and verbal communication skills.
• Comfortable engaging with customers and senior stakeholders to articulate technical decisions, solution architecture, and delivery strategy.
• Effective leader in design reviews, sprint planning, technical discussions, and delivery execution.

Delivery & Process:

• Experience defining and improving engineering processes, documentation standards, and delivery governance.
• Strong track record of authoring and reviewing design documents, functional requirements, test strategies, and deployment guides.
• Experienced in Agile/Scrum environments with a focus on predictable, high-quality delivery.
• Willingness to work in US shift hours (5 PM – 2 AM IST).

You Will Have an Advantage If You Also Have:

• Hands-on experience with NICE CXone products or other cloud-based contact centre platforms.
• Experience with enterprise conversational AI platforms such as NICE CXone, Kore.ai, Amelia, Dialogflow, or similar.
• Exposure to Generative AI tools, LLM fine-tuning, or RAG-based architectures.

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. Office days focus on face-to-face collaboration, where teamwork and creative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10786

Reporting Into: Director , Engineering 

Role Type: People Management

So, What's the Role All About?

We are looking for a Specialist Software Architect to lead the architectural vision, design, and evolution of our AI-driven and Conversational Solutions platform. This role demands deep hands-on expertise in Python, AWS Cloud services, AWS Knowledge Hub, and multiple Knowledge Base technologies, along with proven experience designing simplified, scalable, and resilient architectures using microservices and AWS-native services.

You will play a critical role in shaping the technical foundation of our Conversational AI platform — one that handles millions of interactions per day, meets strict SLAs (99.99%), and supports zero-downtime deployments, robust disaster recovery, and enterprise-grade AI orchestration. You will be the go-to architect for proposing pragmatic, simplified designs that balance innovation with operational excellence.

How Will You Make an Impact?

Architecture & System Design:

• Own and define the end-to-end architecture of the Conversational AI and Knowledge platform, covering AI model integration layers, data stores, knowledge bases, and external integrations.
• Design enterprise-scale, cloud-native, microservices-based architectures capable of handling high concurrency, burst traffic, and real-time conversational workloads.
• Propose simplified, cost-effective architectural designs leveraging AWS-native services — avoiding over-engineering while ensuring scalability and resilience.
• Define reference architectures, architectural blueprints, and non-functional requirements (NFRs) for performance, reliability, security, and maintainability.
• Drive event-driven and asynchronous architectures using AWS-native services such as SQS, SNS, EventBridge, and Step Functions.
• Define best practices for microservices design, domain-driven design (DDD), API design (REST, async/event APIs), and AI integration patterns.
• Review and guide complex application-level designs, critical code paths, and AI pipeline architectures.

AI & Conversational Solution Architecture:

• Architect and evolve AI-driven Conversational solutions integrating large language models (LLMs), prompt engineering patterns, and enterprise AI orchestration frameworks.
• Design and implement Knowledge Base solutions using AWS Knowledge Hub, vector databases, RAG (Retrieval-Augmented Generation) architectures, and other knowledge management technologies.
• Define AI model integration strategies — including model selection, fine-tuning approaches, embedding pipelines, and response quality frameworks.
• Drive conversational UX architecture, ensuring seamless, context-aware, and low-latency interaction flows.
• Evaluate and recommend AI tooling, platforms, and frameworks aligned with business needs (e.g., AWS Bedrock, LangChain, OpenAI, Anthropic, Kore.ai, Dialogflow).
• Lead the design of multi-turn conversation management, intent resolution, and fallback handling architectures.

AWS Cloud & Microservices Architecture:

• Architect and optimise solutions using AWS services including but not limited to Lambda, API Gateway, SQS, SNS, Step Functions, DynamoDB, Aurora Serverless, S3, Bedrock, and Kendra.
• Design cost-efficient, elastic scaling strategies aligned with unpredictable conversational AI workloads.
• Lead cloud governance, environment isolation, multi-account strategy, and infrastructure-as-code (IaC) practices.
• Define CI/CD pipeline standards, DevOps practices, and containerisation approaches (Docker, Kubernetes) for AI workload deployments.
• Drive microservices decomposition strategies — identifying service boundaries, inter-service communication patterns, and data ownership models.

Scalability, Resilience & Disaster Recovery:

• Design for extreme scale — high concurrent users, high TPS, and real-time AI inferencing demands.
• Own resilience strategies including multi-AZ and multi-region architectures, active-active or active-passive DR setups, and graceful degradation mechanisms.
• Define and validate RPO/RTO goals, conduct chaos testing, and lead DR drills.
• Ensure zero-downtime deployment capabilities through blue/green, canary, and rolling deployment strategies.

Security, Compliance & Reliability:

• Embed security by design across all AI and data architecture layers — covering authentication, authorisation, data privacy, encryption, and model safety guardrails.
• Support compliance requirements (SOC2, ISO, GDPR) from an architectural standpoint, particularly around AI data handling and knowledge base access controls.
• Partner with SRE and DevOps teams on observability, logging, distributed tracing, and alerting for AI workloads.
• Define SLIs, SLOs, and capacity planning models for conversational AI services.

Technical Leadership & Collaboration:

• Act as a technical mentor and trusted advisor to senior engineers, tech leads, and implementation teams.
• Lead architecture reviews, design councils, and technical decision forums — championing simplicity, pragmatism, and long-term maintainability.
• Partner closely with Product Management, AI/ML teams, and delivery teams to balance innovation with execution feasibility.
• Drive the long-term AI architecture roadmap and proactively reduce technical debt.

Have You Got What It Takes?

Experience & Education:

• Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent work experience.
• 10+ years of professional software engineering experience, with at least 4–5 years in a software architect or principal engineer role.
• Demonstrated experience designing and delivering AI-driven or Conversational AI platforms at enterprise scale.

Technical Expertise:

• Deep hands-on experience with Python — including AI/ML libraries, API development, and automation scripting.
• Strong expertise in AWS Cloud services — particularly those relevant to AI workloads: Bedrock, Kendra, Lambda, API Gateway, SQS, SNS, Step Functions, DynamoDB, S3, and Aurora Serverless.
• Hands-on experience with AWS Knowledge Hub and multiple Knowledge Base technologies including vector databases, document stores, and semantic search platforms.
• Proven experience designing microservices architectures — including service decomposition, inter-service communication (REST, gRPC, event-driven), and distributed data management.
• Strong understanding of:
• RAG (Retrieval-Augmented Generation) architectures and embedding pipelines
• Prompt engineering and LLM integration patterns
• Modern authentication standards (OAuth2, OIDC, SAML)
• Web APIs — REST and async/event API design
• Databases (SQL/NoSQL) and data integration patterns
• Experience with CI/CD pipelines, DevOps practices, and containerisation (Docker, Kubernetes).
• Familiarity with AI tooling and platforms such as AWS Bedrock, LangChain, OpenAI, Anthropic, Dialogflow, or Kore.ai.
• Experience with GenAI and Agentic AI application development.

Architecture & Scale:

• Demonstrated success designing systems for high traffic, low latency, and high availability at global scale.
• Deep experience with resilience, disaster recovery, and failover design in cloud-native environments.
• Strong track record of proposing simplified, pragmatic architectural solutions that avoid unnecessary complexity.
• Experience with event-driven systems, message queues, and streaming architectures.
• Strong understanding of cloud networking, caching strategies, and data modelling for AI workloads.

Good to Have:

• Experience with CCaaS or real-time communication platforms (e.g., NICE CXone).
• Exposure to multi-region SaaS deployments and hybrid serverless/container architectures.
• Familiarity with OpenSearch or Elasticsearch for conversational data search and analytics.
• Experience with cost optimisation strategies at scale on AWS.
• Knowledge of frontend technologies (JavaScript/TypeScript, React) for full-stack architecture awareness.

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. Office days focus on face-to-face collaboration where teamwork and creative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

Requisition ID: 10787

Reporting Into: Director , Engineering

Role Type: Individual Contributor 

HG Insights is looking for an exceptional product manager to help us to accelerate the development of the HG platform. You’ll work with the leading and most prominent companies in the world to solve some of their most challenging go-to-market, business operations, and strategic planning problems, worth millions (and sometimes billions) of dollars to them and their teams. You will work closely with Sales, Customer Success, Solutions, Engineering, and others to make a maximum impact across the business. 

Report to the Director of Product, you will use your product experience and domain knowledge to drive critical parts of the HG platform. 

What You'll Be Responsible For:

• Listening and learning: you'll become fluent in the problems our customers face, their use cases, our value proposition, our product, and our competitive landscape.
• Bringing a fresh perspective to our current processes, challenging the assumptions around product delivery.
• Leading effective market validation, release, rollout and positioning of strategic product offerings
• Identify and size target markets, customer segments, value propositions and use cases
• Define product KPIs and manage all HG Insights products through metric and ROI-driven methods
• Assure all product management decisions are justified based on strong financial analysis and business cases
• Identify, consider, and approve continuous upgrades to product management processes assuring that HG Insights is abiding by industry-leading product management processes
• Define the product roadmap and success metrics for your ownership areas in alignment with company vision, customer needs, and market trends.
• Engage with customers frequently to share the roadmap, collect feedback, and develop a deep understanding of their needs and challenges.
• Engage with Sales, Marketing, and Customer Success teams frequently to collect feedback, collaborate on solutions, and drive product adoption and engagement.  
• Track and measure KPIs for your product areas and proactively report learnings to leadership.
• Conduct detailed market research and customer validation to demonstrate the ROI of different product opportunities prior to investment.
• Synthesize feedback into detailed use cases based on specific, real-world product applications.
• Manage multiple backlogs of prioritized features and enhancements according to customer need and product strategy.
• Partner with Engineering to ensure requirements are clear, user stories are written, and acceptance criteria followed per agile software development principles.
• Evangelize the product vision across owned product lines to stakeholders.
• Champion the voice of customers in our product strategy.

What You’ll Need:

• 10+ years product management experience in building B2B SaaS products 
• Experience building products for the revenue-generating parts of a business (Sales, Marketing, Customer Success, Solutions/Services, Finance, C-Suite, etc.) 
• Experience designing and shipping scalable platform products with first-party integration ecosystems  
• Own AI Product Lifecycle - drive AI native products from ideation to launch - with focus on customer value
• Sharp eye for design and bias towards simplicity keeping the user experience as central focus.
• Excellent communicator, both written and verbal
• Proven track record at early stage, venture-backed tech companies.
• Ability to thrive in an intense, dynamic, convention-challenging, and high demand start-up environment
• Deep familiarity with the B2B GTM intelligence stack — including platforms like 6sense, ZoomInfo, Apollo, Demandbase, or Bombora 
• Competitive, goal oriented, coachable, and fun
• High level of personal and professional integrity and trustworthiness with strong work ethic and the ability to work independently with minimal direction
• Experience integrating data with CRM, MAP, or ERP is a plus.

The Role

The Senior Software Engineer - Browser Extensions will own the architecture and implementation of Securly's onboard filtering engine — building a local policy cache and real-time filtering decision engine inside the Chrome extension that moves filtering decisions on-device, improving speed, reliability, and bypass resistance for millions of students on Chromebooks.

You will design and build the system that eliminates the cloud round-trip for 80% of filtering decisions: a local policy cache with delta sync, a filtering decision engine running inside the MV3 service worker, and the bypass prevention layer that ensures the security model is not exploitable.

At L5, this role carries additional strategic weight. Google's Filter and Monitor platform shift is moving ChromeOS toward native Content Filtering APIs and away from browser extensions as the primary enforcement point. You will track this transition, evaluate its implications for Securly's extension strategy, and surface architectural recommendations — not just implement the current plan.

What You'll Do

• Own the architecture of the onboard filtering engine: local policy cache, delta sync protocol, filtering decision engine, and bypass prevention layer.
• Architect and implement the local policy cache: delta sync protocol, TTL management, cache invalidation logic, and graceful cloud fallback.
• Build the onboard filtering decision engine in the MV3 service worker: domain matching, URL categorization, iframe detection using DOM context, and allow/block decisions.
• Implement and harden bypass prevention: same-origin policy, CSP, CORS, iframe sandboxing, content script/page context boundaries, and timing-based attack vectors.
• Track Google's Filter and Monitor platform evolution (ChromeOS Content Filtering APIs); write architectural memos evaluating implications for Securly's extension strategy.
• Lead the transition and implementation of new filtering features using TypeScript and modern JavaScript within the MV3 framework.
• Optimize extension performance to add negligible latency on consumer-grade student Chromebook hardware; define and enforce performance budgets.
• Mentor Ashish M (L4) and new extension hires: substantive code reviews, pair on security model design, drive team understanding of bypass threat vectors.
• Manage chrome.storage.local within platform limits; evaluate IndexedDB for policy cache requirements that exceed those limits.

Skills & Requirements

Who You Are

• You know how browsers actually work — not just the APIs, but the security model, the process model, and the specific ways students try to break it.
• You have shipped production Chrome extensions at scale and know what service worker memory management means on a 4GB Chromebook.
• You track platform shifts (Google F&M, ChromeOS Content Filtering API) and understand what they mean for your system's architecture.
• You produce written artifacts (ADRs, threat models, platform memos) that document your reasoning for the team and for leadership.
• You write TypeScript that other senior engineers learn from, and your code reviews raise the floor for the engineers around 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

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

Location Details: Pune, Hybrid

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely

This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team

Join Our Team...

The Principal Product Manager role involves managing the device fleet management platform that underpins GoDaddy's terminal and point-of-sale ecosystem. In this crucial job, you will handle portals and interfaces to enable scalable device operations for banking partners and ISV integrations covering thousands of devices in the field. Additionally, you will be the primary strategic contact for partner requirements, converting complex needs into actionable product plans and ensuring smooth operations at scale

The fleet management platform serves as the operational foundation that keeps thousands of payment devices functioning efficiently in the field. Your efforts have a direct effect on merchant uptime, partner happiness, and operational expenses. You'll help GoDaddy expand device operations efficiently while fulfilling partner commitments that support business growth. This is a high-visibility role where your work directly affects strategic partner relationships and the dependability of commerce experiences for merchants worldwide

This role sits at the critical intersection of product, partnerships, and operations—requiring both strategic vision and execution excellence. Join us and make an impact!

What you'll get to do...

Responsibility for Fleet Management Platform

• Product Strategy & Roadmap: Define and complete the long-term vision and quarterly roadmap for our Fleet Management Platform, balancing partner needs, operational requirements, and technical debt
• End-to-End Product Management: Own all aspects of the product surface including features, user experience, performance, reliability, and scalability
• User Experience: Build intuitive interfaces for internal operations teams, partner support personnel, and technical administrators managing device fleets at scale
• Platform Reliability: Ensure platform uptime, performance SLAs, and robust error handling to support mission-critical device management operations
• Diagnostic & Troubleshooting Tools: Build comprehensive diagnostic capabilities enabling rapid identification and resolution of device, connectivity, and software issues across the fleet

Partner Requirements Management

• Primary Partner Interface: Act as the chief product liaison for our Banking/ISV partners concerning device-adjacent product requirements.
• Requirements Intake & Discovery: Lead intake process for initiatives driven by collaboration, conducting detailed discovery to understand business context, technical constraints, and success criteria
• Collaborator Translation: Convert partner business needs into well-defined product requirements, user stories, and technical specifications.
• Partner Relationship Management: Build positive relationships with key partners, establishing trust as a reliable product partner who delivers on commitments
• Strategic Alignment: Ensure partner requests align with broader platform strategy, negotiate scope and timelines, and manage partner expectations throughout delivery

Your experience should include...

• 8+ years of product management experience in B2B SaaS, FinTech, payments hardware, POS systems, or terminal management, with a proven track record managing hardware/device ecosystems at scale
• Strong program management skills with experience coordinating complex, cross-functional initiatives, including RAID management, release planning, and go-to-market execution
• Direct partner and client-facing experience, serving as the primary product interface for enterprise partners or banking clients, with the ability to manage complex integration processes
• Ability to translate ambiguous business requirements into clear product specifications, with strong analytical skills in defining, tracking, and reporting on operational metrics
• Deep knowledge of the payments industry, including certifications, compliance requirements, and partner integration processes
• Familiarity with telemetry systems, logging infrastructure, and operational monitoring tools to support platform health and device ecosystem management

You might also have...

• Bachelor's degree in computer science, Engineering, Business, or related field, or equivalent experience
• Experience with fleet management platforms, MDM (Mobile Device Management), or remote device administration
• Technical background with understanding of architecture and system development, REST APIs, cloud infrastructure, and device SDKs
• Experience with Agile/Scrum methodologies and product management tools (Jira, Confluence, etc.)

We've got your back...  We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy’s benefits vary based on individual role and location and can be reviewed in more detail during the interview process

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way

We encourage you to apply even if your experience or skillset doesn’t align perfectly with every requirement. We value a wide range of backgrounds and transferable skills, and we are excited to support learning and growth

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that’s not enough to build true equity and belonging in our communities. That’s why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It’s the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to myrecruiter@godaddy.com

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies

Overview:

We are seeking a highly experienced Platform Engineer to architect, build, and operate a next-generation AI-powered Internal Developer Platform (IDP) that enables rapid, secure, and scalable software delivery across the enterprise.

This role will manage a critical Kubernetes platform and drive automation through Terraform, ArgoCD, and Azure DevOps. While your foundation is rooted in SRE and DevOps excellence, you will also lead our efforts to integrate Agentic AI into the platform, building intelligent workflows that automate environment provisioning, incident triage, and self-service capabilities to eliminate operational friction.

You will operate at the intersection of Platform Engineering, Cloud Infrastructure, AI automation, and Developer Experience, building systems that empower engineering teams to move faster with higher reliability and lower operational overhead.

Tech Stack Mandate

What You’ll Do: 

• Platform Architecture: Design, Develop and evolve a self-service Internal Developer Platform (leveraging Backstage or similar) to abstract cloud complexity for engineering teams.
• Infrastructure as Code (IaC): Lead the development of modular, enterprise-grade Terraform libraries to manage multi-region Azure and AWS environments.
• Kubernetes Orchestration: Operate and manage large-scale Kubernetes clusters, focusing on networking, security hardening, and workload autoscaling.
• Continuous Delivery: Own the CI/CD lifecycle by building robust Azure DevOps Pipelines and implementing GitOps patterns using Argo CD.
• AI-Enhanced Automation: Develop Python-based automation and AI agents to assist in infrastructure scaffolding, policy enforcement, CI/CD actions and proactive cost optimization.
• SRE & Reliability: Partner with dev teams to define SLIs/SLOs and integrate observability (Datadog/Prometheus) to create self-healing infrastructure loops.
• Developer Advocacy: Continuously improve Developer Experience (DevEx) by reducing cognitive load and providing automated onboarding and documentation for new services.

Required Technical Qualifications: 

• 7+ years in Platform Engineering, DevOps, or Site Reliability Engineering.
• Expert-level Terraform: Experience managing complex state, custom providers, and enterprise-grade modules.
• K8s Specialist: Deep understanding of CNI, CSI, Ingress Controllers, and Service Mesh.
• Python Mastery: Ability to write production-grade Python for building CLI tools, automation scripts, and AI agent logic.
• Agentic AI Experience: Proven experience moving beyond simple prompts to building autonomous agents that use tools/APIs to perform tasks day to day platform engineering tasks
• Production GitOps: Hands-on experience scaling Argo CD across hundreds of microservices.

Preferred Qualifications: 

• Experience with Azure OpenAI Service and building RAG (Retrieval Augmented Generation) systems f
• Knowledge of Policy-as-Code (OPA/Gatekeeper or Kyverno) integrated into CI/CD.
• Background in FinOps, specifically using AI to drive automated cloud cost reduction.

Competencies:

• Zero-Touch Provisioning: A developer can go from "Idea" to "Production-Ready URL" in minutes via an AI-guided workflow.
• Autonomous SRE: AI agents proactively identify and fix 30% of common infrastructure drift or pod failures before a human is paged.
• Immutable Infrastructure: 100% of production changes are driven via Terraform and Argo CD—no manual "click-ops."

What We Offer: 

• Competitive compensation 
• Employee medical coverage 
• Central office location 
• Entrepreneurial environment, autonomy, and fast decisions 
• Casual work environment 

About Guidepoint: 

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action. 

Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful. 

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience. 

#LI-AD2

#LI-HYBRID

About the Role

We are seeking an experienced Engineering Infrastructure Security Manager to lead the security of our production and non-production engineering systems. This is a critical leadership role responsible for securing the infrastructure that powers the software development lifecycle, including source control systems, CI/CD pipelines, build environments, deployment platforms, developer tools, and associated cloud resources. The ideal candidate will bring deep technical expertise in infrastructure security, strong leadership capabilities, and a solid understanding of modern engineering and DevSecOps practices.

Key Responsibilities

Engineering Systems Security

• Design and implement security controls across development, staging, testing, and production environments
• Secure CI/CD pipelines, build systems, and deployment automation against supply chain threats
• Manage security for source control systems, code repositories, and secrets management platforms
• Oversee security of containerized environments (Docker, Kubernetes) and IaC ecosystems
• Ensure security across multi-cloud environments (AWS, GCP, Azure) and hybrid infrastructure

Security Architecture & Technical Leadership

• Design and implement security frameworks aligned with engineering workflows and developer productivity
• Implement zero-trust architecture and least-privilege access models
• Secure API gateways, service meshes, and microservices architectures
• Lead security initiatives across observability, logging, and monitoring platforms
• Strengthen network security posture including firewalls, VPCs, and segmentation

Risk Management & Vulnerability Response

• Conduct security assessments and penetration testing across engineering systems
• Manage vulnerability scanning and remediation programs
• Develop threat models for critical systems and deployment pipelines 
• Lead incident response for infrastructure security events
• Track and analyze security metrics (deployment security, configuration compliance, infra drift)

Team Leadership & Collaboration

• Build, mentor, and manage a high-performing team of security engineers
• Drive a “security as code” culture across engineering teams
• Collaborate with platform, SRE, and development teams to embed security into SDLC
• Provide training and guidance on secure infrastructure practices
• Foster a culture of security awareness and proactive risk reporting

Policy, Compliance & Governance

• Define and enforce security policies aligned with SOC 2, ISO 27001, NIST, PCI-DSS
• Ensure compliance with data protection regulations (GDPR, CCPA)
• Implement strong access control mechanisms and RBAC (must-have)
• Conduct regular audits and maintain compliance documentation
• Manage security for production data access and handling

Automation & Continuous Improvement

• Drive automation of security monitoring, controls, and incident response
• Implement security-as-code using Terraform, CloudFormation, and policy frameworks
• Integrate automated security testing into CI/CD pipelines (SAST, DAST, container scans)
• Maintain infrastructure security baselines and automated compliance checks
• Continuously reduce security technical debt

Business Continuity & Disaster Recovery

• Design and test disaster recovery plans for engineering infrastructure
• Implement backup strategies for source code, artifacts, and configurations
• Ensure high availability and resilience of critical systems
• Support incident response and business continuity planning from a security perspective

Basic Qualifications

Technical Expertise

• 8–12 years of experience in infrastructure security or related fields, with 3+ years in a leadership role
• Strong expertise in cloud security (AWS, GCP, Azure) and cloud-native architectures
• Hands-on experience with Kubernetes, containers, and orchestration platforms
• Deep understanding of CI/CD security, supply chain security, and DevSecOps practices
• Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation)
• Experience with security tools: SIEM, vulnerability scanners, IDS/IPS, endpoint protection
• Strong knowledge of network security, encryption, IAM, and secrets management

Leadership & Collaboration

• Proven experience building and managing high-performing security teams
• Experience driving cross-functional initiatives across engineering, operations, and product teams
• Strong project management and execution skills
• Ability to mentor and grow security talent

Communication & Strategic Thinking

• Strong communication skills with ability to explain complex concepts to technical and non-technical stakeholders
• Experience presenting security strategies and risk insights to leadership
• Ability to translate business needs into security solutions
• Strong documentation and process definition skills

Compliance & Risk Management

• Experience with compliance frameworks: SOC 2, ISO 27001, NIST, PCI-DSS
• Strong understanding of risk assessment and security frameworks
• Knowledge of data privacy and regulatory requirements

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Security, or related field
• Security certifications such as CISSP, CISM, CCSP, CEH, or cloud security certifications
• Experience with GitOps workflows and tools like GitHub Advanced Security or GitLab Security
• Proficiency in scripting/programming (Python, Go, Bash) for automation
• Experience in regulated industries (finance, healthcare, government)
• Background in SRE or DevOps practices
• Experience securing microservices and serverless architectures
• Strong interest in security research and evolving threat landscapes

About the Role

We are seeking an experienced Infrastructure Security Engineer to work on the security of our production and non-production engineering systems. This is a critical  role responsible for securing the infrastructure that powers the software development lifecycle, including source control systems, CI/CD pipelines, build environments, deployment platforms, developer tools, and associated cloud resources. The ideal candidate will bring deep technical expertise in infrastructure security and a solid understanding of modern engineering and DevSecOps practices.

Key Responsibilities

Engineering Systems Security

• Design and implement security controls across development, staging, testing, and production environments
• Secure CI/CD pipelines, build systems, and deployment automation against supply chain threats
• Manage security for source control systems, code repositories, and secrets management platforms
• Oversee security of containerized environments (Docker, Kubernetes) and IaC ecosystems
• Ensure security across multi-cloud environments (AWS, GCP, Azure) and hybrid infrastructure

Security Architecture & Technical Leadership

• Design and implement security frameworks aligned with engineering workflows and developer productivity
• Implement zero-trust architecture and least-privilege access models
• Secure API gateways, service meshes, and microservices architectures
• Lead security initiatives across observability, logging, and monitoring platforms
• Strengthen network security posture including firewalls, VPCs, and segmentation

Risk Management & Vulnerability Response

• Conduct security assessments and penetration testing across engineering systems
• Manage vulnerability scanning and remediation programs
• Develop threat models for critical systems and deployment pipelines 
• Lead incident response for infrastructure security events
• Track and analyze security metrics (deployment security, configuration compliance, infra drift)

Policy, Compliance & Governance

• Define and enforce security policies aligned with SOC 2, ISO 27001, NIST, PCI-DSS
• Ensure compliance with data protection regulations (GDPR, CCPA)
• Implement strong access control mechanisms and RBAC.
• Conduct regular audits and maintain compliance documentation
• Manage security for production data access and handling

Automation & Continuous Improvement

• Drive automation of security monitoring, controls, and incident response
• Implement security-as-code using Terraform, CloudFormation, and policy frameworks
• Integrate automated security testing into CI/CD pipelines (SAST, DAST, container scans)
• Maintain infrastructure security baselines and automated compliance checks
• Continuously reduce security technical debt

Business Continuity & Disaster Recovery

• Design and test disaster recovery plans for engineering infrastructure
• Implement backup strategies for source code, artifacts, and configurations
• Ensure high availability and resilience of critical systems
• Support incident response and business continuity planning from a security perspective

Basic Qualifications

Technical Expertise

• 2–5 years of experience in infrastructure security or related fields.
• Strong expertise in cloud security (AWS, GCP, Azure) and cloud-native architectures
• Hands-on experience with Kubernetes, containers, and orchestration platforms
• Deep understanding of CI/CD security, supply chain security, and DevSecOps practices
• Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation)
• Experience with security tools: SIEM, vulnerability scanners, IDS/IPS, endpoint protection
• Strong knowledge of network security, encryption, IAM, and secrets management

Compliance & Risk Management

• Experience with compliance frameworks: SOC 2, ISO 27001, NIST, PCI-DSS
• Strong understanding of risk assessment and security frameworks
• Knowledge of data privacy and regulatory requirements

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Security, or related field
• Security certifications such as CISSP, CISM, CCSP, CEH, or cloud security certifications
• Experience with GitOps workflows and tools like GitHub Advanced Security or GitLab Security
• Proficiency in scripting/programming (Python, Go, Bash) for automation
• Experience in regulated industries (finance, healthcare, government)
• Background in SRE or DevOps practices
• Experience securing microservices and serverless architectures
• Strong interest in security research and evolving threat landscapes

Position Summary:

We are looking for a highly experienced Network Architect & Operations Lead to drive the design, operation, and optimization of large-scale, AI inferencing data center environments. The ideal candidate will have a strong background in architecting and running complex distributed infrastructures supporting GPU-as-a-Service (GPUaaS) workloads, high-throughput AI inferencing traffic, GPU cluster networking, and globally distributed network topologies.

This role is central to ensuring the uptime, reliability, and scalability of our inferencing data centers. This role requires a senior professional with CCIE-level expertise (or equivalent capability) who can combine architecture, operations, team leadership, and automation skills to ensure network reliability, scalability, and operational excellence across a 24/7 GPU inferencing environment. The ideal candidate will lead and mentor a tiered team of L1, L2, and L3 network engineers, owning end-to-end network operations and SLA commitments for our AI inferencing data centers. Experience in high-scale environments such as Lambda Labs, Nvidia, Equinix, AWS, Azure, Google Cloud, or similar large AI infrastructure or hyperscale organizations is highly preferred.

Key Responsibilities:

• Operate large-scale AI inferencing data center network environments across multiple sites.
• Lead and manage a tiered NOC team (L1, L2, L3), driving operational discipline, escalation processes, and continuous uptime of inferencing infrastructure.
• Own uptime and SLA commitments for GPU inferencing data centres, ensuring high availability and rapid incident response.
• Design and maintain scalable network topologies supporting high-throughput GPU cluster traffic, east-west data flows, API traffic, VPN connectivity, and GPUaaS tenant workloads.
• Lead technical design decisions for leaf-spine data center architectures using Arista switching platforms.
• Configure, manage, and troubleshoot advanced routing protocols with a strong focus on BGP, EVPN, VXLAN, and large-scale traffic engineering.
• Manage and optimize Cisco firewall platforms (Firepower/FTD) to ensure secure and efficient traffic flows across tenant and infrastructure networks.
• Support GPU cluster networking including high-bandwidth, low-latency east-west traffic between GPU nodes, with familiarity in RDMA over Converged Ethernet (RoCE) or similar low-latency fabrics.
• Drive operational excellence through structured NOC methodologies, runbook standardization, incident management, and continuous optimization.
• Improve network efficiency through automation, tooling, and operational workflows.
• Perform deep troubleshooting and debugging of complex network and performance issues across Arista, Cisco, and Dell infrastructure.
• Lead network capacity planning, upgrades, and infrastructure scaling initiatives in line with GPU compute growth.
• Collaborate with cross-functional engineering teams (compute, storage, platform, security) to support business growth and ensure high availability.
• Document architecture standards, operational procedures, runbooks, and best practices.

Basic Qualifications:

• 10+ years of hands-on experience in network architecture or network operations within large-scale enterprise, cloud, or AI/HPC data center environments.
• Strong expertise in advanced routing & switching technologies, including BGP, OSPF, EVPN, and VXLAN.
• Deep operational understanding of multi-site, high-scale data center network infrastructure.
• Hands-on experience with Arista EOS and Arista switching platforms in a data center environment.
• Proven experience managing complex network topologies and distributed environments.
• Experience leading and managing NOC teams (L1/L2/L3), including escalation frameworks, shift management, and SLA ownership.
• Familiarity with high-performance compute (HPC) or GPU cluster networking and associated traffic patterns.
• Strong troubleshooting, debugging, and analytical skills across multi-vendor environments.
• Practical experience with network automation and operational optimization.

Preferred Qualifications:

• CCIE certification (or equivalent real-world expertise).
• Arista ACE (Arista Certified Engineer) certification or equivalent hands-on Arista expertise.
• Experience with GPU-as-a-Service (GPUaaS), AI/ML inferencing platforms, or hyperscale compute environments.
• Hands-on experience with Cisco Firepower / FTD firewall platforms and enterprise security frameworks.
• Experience with Dell PowerEdge or similar GPU server environments and their network integration.
• Familiarity with RDMA over Converged Ethernet (RoCE), InfiniBand, or other low-latency GPU interconnect fabrics.
• Experience with Arista and Cisco routing and switching platforms.Leaf-spine data center fabric design for AI/ML compute clusters.
• Experience with BGP EVPN and VXLAN overlay architectures. Network automation frameworks and scripting (Python, Ansible, Terraform)
• Experience with Tenant network isolation, VLANs, and multi-tenancy in GPUaaS environments.
• Additional certifications such as CCNP, Arista ACE-L, or equivalent advanced networking certifications.

Position Summary:

We are seeking a Solution Architect – (AI Infrastructure & Hybrid Cloud) to lead the strategic design, architecture, and deployment of large-scale, enterprise-grade Red Hat OpenShift and Kubernetes environments. As a technical authority at the L4 level, you will be responsible for defining the blueprint of our cloud-native infrastructure, ensuring it is secure, scalable, and highly automated.
The ideal candidate acts as the bridge between traditional infrastructure and modern DevOps, serving as the lead design authority for global clients. You will collaborate with Network and Firewall Architects to build a unified fabric where containerized workloads, legacy data centers, and hybrid cloud environments coexist seamlessly through advanced automation and Infrastructure-as-Code (IaC).

Key Responsibilities:

• Architect and Design Enterprise OpenShift Solutions: Lead the high-level design (HLD) and low-level design (LLD) for multi-tenant Red Hat OpenShift and Kubernetes clusters across on-prem and hybrid cloud environments.
• Define the technology stack, standards, and blueprints for deploying AI solutions across global, multi-region public clouds (AWS/Azure/GCP) and diverse on-premise hardware.
• Oversee the successful end-to-end rollout of critical services including AI SOC, OpenShift AI, and AI-based Cybersecurity Log Optimization.
• Drive Network DevOps Strategy: Define and standardize the automation roadmap using Ansible, Terraform, and Python to achieve "Zero-Touch" infrastructure provisioning and configuration.
• Lead Customer & Stakeholder Engagement: Act as the primary technical consultant for global clients, leading design workshops, architecture validation, and executive-level technical reviews.
• Integrate Advanced AI apps, Networking & Security: Collaborate with Pre-sales, AI application developers & Engineers, Firewall Architects to design secure AI agents & use cases, container networking (CNI) models, implementing Zero-Trust security, service mesh (Istio), and micro-segmentation within OpenShift environment.
• Optimize Hybrid Infrastructure: Oversee the seamless integration of OpenShift with physical networking (Cisco ACI, VXLAN) and virtualized platforms (RHEL-V, VMware ESXi).
• GPU & Hardware Orchestration: Design and manage hardware acceleration using the NVIDIA GPU Operator and Node Feature Discovery (NFD). Implement Multi-Instance GPU (MIG) and time-slicing to optimize resource utilization across multi-tenant clusters.
• Establish CI/CD Governance: Architect robust CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions) for infrastructure and application delivery, ensuring compliance and security are baked into the workflow.
• Lead Observability & Reliability: Design comprehensive monitoring and logging architectures using Prometheus, Grafana, and ELK stack to ensure 99.99% availability of cluster services.
• Mentorship & Technical Leadership: Guide and mentor L2/L3 engineers, providing expert-level escalation support and establishing best practices for the DevOps and Network teams.
• Innovation & R&D: Evaluate and introduce emerging technologies such as Advanced Cluster Management (ACM), Advanced Cluster Security (ACS), and Cloud-Native Networking (OVN-Kubernetes).

Basic Qualifications:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field
• 10+ years of progressive experience in systems architecture, infrastructure engineering, or network DevOps.
• Expert/Architect-level proficiency in OpenShift (RHOS), and Kubernetes architecture in large-scale production environments.
• Experience architecting hybrid-cloud OpenShift solutions involving AWS (ROSA), Azure (ARO), or Google Cloud.
• Proven track record in Automation & IaC: Mastery of Ansible, Terraform, and Git-based workflows to manage complex infrastructures.
• Deep understanding of Linux (RHEL) Internals: Mastery of kernel networking, storage drivers (CSI), and container runtimes (CRI-O).
• Strong Network Background: In-depth knowledge of BGP, VXLAN, and EVPN as they apply to connecting containerized workloads to physical data center fabrics.
• Experience in "Architecture as Code": Ability to develop and maintain compliance artifacts, design validation reports, and automated documentation.
• Excellent Leadership Skills: Demonstrated ability to manage high-stakes customer relationships and lead cross-functional technical teams

Preferred Qualifications:

• Certifications: Red Hat Certified Architect (RHCA), Red Hat Certified Specialist in OpenShift (Administration/Development), or CKA/CKS (Certified Kubernetes Administrator/Security), AWS/GCP Certified DevOps Engineer, AWS Certified SysOps Administrator, HashiCorp Certified: Terraform Associate
• Red Hat Certified OpenShift Administrator, AWS Certified AI Practitioner, Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP)
• Security Focus: Exposure to DevSecOps tools (e.g., Quay, StackRox) and zero-trust framework implementation
• Legacy Integration: Familiarity with Cisco ACI, Arista CloudVision, or Juniper Apstra for end-to-end automation integration
• Red Hat OpenShift AI (ROAI) expertise will be preferred
• Familiarity with LLM deployment requirements and vector database infrastructure
• Background in Cybersecurity infrastructure (SIEM, SOAR, SOC & VAPT platforms)
• Experience with MLOps infrastructure (Kubeflow, MLflow) and high-speed telemetry pipelines

Overview of Role

As an App Development Architect, you'll be at the forefront of solution design, defining technical roadmaps, making critical architectural decisions, and ensuring the successful delivery of complex application projects. You'll mentor development teams, promote best practices, and drive innovation across our application development lifecycle, primarily leveraging the power of Google Cloud Platform.

Responsibilities:

• Architectural Leadership: Lead the design and architecture of robust, scalable, secure, and high-performance applications, defining technical standards, patterns, and best practices.
• Solution Design & Strategy: Translate complex business requirements and user stories into detailed technical designs, architectural blueprints, and implementation strategies for application development projects.
• Technology Selection: Evaluate and recommend appropriate technologies, frameworks, and platforms, with a strong emphasis on Google Cloud Platform (GCP) services and cloud-native architectures.
• Technical Guidance & Mentorship: Provide expert technical guidance and mentorship to development teams, conducting code reviews, and ensuring adherence to architectural principles and coding standards.
• Performance & Scalability: Design solutions that meet stringent performance, scalability, reliability, and security requirements, anticipating future growth and evolving needs.
• Integration Strategy: Define strategies for integrating diverse systems, including APIs, microservices, third-party platforms, and legacy applications.
• Stakeholder Collaboration: Collaborate closely with clients, product managers, project managers, and cross-functional engineering teams to ensure alignment between business goals and technical solutions.
• Roadmapping & Innovation: Contribute to technical roadmaps, staying abreast of emerging technologies and industry trends (e.g., AI/ML integration, serverless, containerization) to drive innovation.
• Risk Management: Identify potential technical risks and challenges, proposing mitigation strategies throughout the project lifecycle.

Qualifications:

• 10+ years of progressive experience in software development, with at least 3-5 years in an Application Architect or similar senior leadership role, focusing on complex enterprise applications.
• Experience on frontend react/angular application design and development with strong architecture exp.
• Deep, hands-on experience designing and deploying applications leveraging a broad range of preferred GCP any cloud exp counts AWS,Azure.
• Strong understanding and practical experience with modern architectural patterns (e.g., Microservices, Event-Driven Architecture, Serverless, N-tier applications).
• Expertise in one or more modern programming languages commonly used in enterprise application development mandatory Python good to have additionally (Java,Nodejs,C#).
• Proficient in designing data models and selecting appropriate database technologies (relational, NoSQL) based on application requirements.
• Extensive experience with RESTful API design principles, API Gateways (e.g., Apigee), and secure API development.
• Solid understanding and experience with DevOps principles, CI/CD pipelines, and automation tools..
• Exceptional analytical and problem-solving skills, with the ability to define technical solutions for complex business problems.
• Excellent verbal and written communication skills, with proven ability to lead technical discussions, present architectural designs, and mentor development teams.
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Willingness to work flexible hours and rotational shifts as per business requirements.
• Ability to work independently and as part of a collaborative team, fostering strong relationships with application development teams.

Role Overview:

We are looking for a hands-on Product Architect / Engineer to design and build an AI-driven operations platform focused on intelligent automation, insights, and optimization across cloud, network, and application operations.This role blends product thinking, architecture, and deep engineering across AI/ML and Agentic AI systems.

Key Responsibilities:

• Architect and build the agentic AI platform leveraging AI, ML, and Agentic AI frameworks
• Design multi-agent systems for use cases for operations domains like Cloud Ops, NetworkOps, ServiceDesk, root cause analysis, anomaly detection, and predictive insights
• Develop data pipelines and telemetry fabric for ingesting and processing large-scale operational data (logs, metrics, traces, topology)
• Build and integrate LLM-powered copilots and autonomous agents for operations 
• Define product architecture, including microservices, APIs, event-driven systems, and scalable cloud-native patterns
• Translate business needs into AI-driven product features and accelerators
• Collaborate with product, operations, and engineering teams to deliver end-to-end capabilities

Key Skills:

• Strong experience in product architecture and full-stack engineering
• Hands-on expertise in:
• AI/ML (model development, inference, MLOps)
• LLMs and Agentic AI frameworks (multi-agent orchestration, reasoning systems)
• Data engineering (streaming, batch, real-time analytics)
• Proficiency in Python and modern frameworks
• Experience with cloud platforms (AWS, Azure) and cloud-native architecture
• Agent framework experience – Microsoft agent framework, langgraph and langchain.
• Strong understanding of:
• Observability systems (logs, metrics, traces)
• AIOps / IT operations platforms
• API design and microservices architecture
• Familiarity with vector databases, embeddings, RAG architectures, and knowledge graphs

Good to Have:

• Experience building autonomous AI agents for IT/network/application operations
• Exposure to FinOps, Cloud Cost Optimization,
• Knowledge of network topology, infrastructure ops, or ITSM tools
• Experience with real-time decisioning systems and event correlation engines

About the Role

Specialist Engineer, Advanced Technical Support, Public Cloud is expected to bring a high level of technical knowledge of both 3rd party products and Veeam products with a focus in the Veeam Backup for AWS, Veeam Backup for Microsoft Azure, and Veeam Backup for Google Cloud, Veeam Data Cloud for Microsoft Azure offerings, communicate effectively, collaborate efficiently with other team members to improve team knowledge and maintain a high level of customer satisfaction, as well as provide technically complex client support for Veeam’s products via the telephone and email.

What You’ll Do

• Provide in depth/expert technical support and troubleshooting for Veeam Software’s clients via telephone, email, and web conferencing
• Handle Support cases escalated from the Technical Support tier and from less experienced ATS tier colleagues, and requiring a deeper expertise level to address respective issues
• Analyze, diagnose, and provide solutions and/or workarounds to the protected 3rd party software, operating systems, networks and applications in relation to Veeam software product problems/questions.
• Monitor the cases for SLA/OLA compliance
• Update and work assigned cases in a timely manner;
• Document of all customer interactions accurately and within SLA in the CRM tool;
• Be available for call transfers for existing and new cases that are generated.
• Maintain strong customer rapport and excellent, timely communication.
• Communicate effectively with QA, R&D, PM and other related departments in cross-tasks and projects.
• Contribute to the internal Knowledge Base in respective technical segment
• Routinely train and mentor less experienced engineers.
• Perform other Knowledge Sharing activities (participate in various department-wide pilot projects, conduct trainings or study halls, or internal team workshops, etc.)
• Operate in an environment with frequent changes, as well as stressful situations.
• Proactively staying up to date with all the latest technologies concerning Veeam’s products and the underlying technologies.
• Collaborate with other software vendors on cases from mutual customers (TSANet) whenever requested to
• Perform other duties as assigned

What You’ll Bring

• Certifications in Amazon Web Services, Microsoft Azure, Google Cloud are highly desired (ideally Architect level);
• Strong understanding of Amazon Web Services, Microsoft Azure, Google Cloud and other Public Cloud solutions (Virtual Machines and Object Storage) and native backup tools;
• Strong knowledge of TCP/IP (OS, firewalls configuration) and networking configuration/troubleshooting (NAT, ports, DHCP, DNS, Wireshark);
• Basic knowledge of the Linux-based OS (administrator level);
• Basic knowledge of Windows OS, PowerShell and CMD CLI;
• Basic knowledge of virtualization technologies (VMware vSphere).
• 3-5 years of technical troubleshooting experience in a role where analytical troubleshooting and problem resolution skills were required
• Proven track record of high customer satisfaction ratings in customer or technical service role
• Creativity and perseverance for solving technical problems and the ability to perform deep log analysis of proprietary software logging and/or external application performance analysis

What You’ll Get 

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

#LI-SK1

About the Role 

Veeam Software is seeking an experienced Regional Partner SE - GSI (India) to lead and scale our Global System Integrator partnerships across the region. In this strategic, India-based remote role, you will serve as a technical leader and trusted advisor to GSIs, driving joint solutions, partner readiness, and partner-led growth. As part of the Center of Excellence (COE), you will play a critical role in enabling partners to win and deliver complex data protection and cloud solutions. 

What You’ll Do 

• Build and maintain strong technical relationships with key Global System Integrators across India, aligning Veeam solutions to partner and customer needs
• Provide technical leadership and guidance on Veeam’s data protection, cloud-native, and public cloud solutions
• Collaborate with GSIs to design joint solution architectures and go-to-market strategies tailored to the Indian market
• Lead partner support during RFP cycles by clarifying technical requirements, providing timely feedback, and ensuring alignment with customer objectives
• Drive technical positioning and competitive differentiation by equipping partners with compelling technical narratives and differentiators
• Engage hands-on with partner teams through onsite workshops, technical deep dives, and real-world solution demonstrations
• Work cross-functionally with Veeam sales, engineering, product, and partner SE teams to support the full opportunity lifecycle
• Develop and maintain standardized RFP toolkits, including sample responses, diagrams, and compliance checklists
• Gather market insights on GSI trends and customer requirements to inform regional and global strategy
• Represent Veeam as a technical evangelist at industry events, partner forums, and conferences 

What You’ll Bring 

• 10+ years of experience in the IT industry, preferably within data protection, cloud, or infrastructure technologies
• Proven success building and managing technical relationships with Global System Integrators
• Deep expertise in backup, recovery, disaster recovery, and cloud-native data protection solutions
• Strong knowledge of public cloud platforms such as AWS, Microsoft Azure, and Google Cloud
• Ability to translate complex technical concepts into clear, value-driven messaging for diverse audiences
• Excellent communication, presentation, and stakeholder management skills
• Bachelor’s degree in Computer Science, Information Technology, or a related field 

Bonus Skills 

• Experience operating within a Center of Excellence (COE) or partner enablement function
• Strong background in RFP leadership, technical validation, and competitive analysis
• Experience working across regions and in multicultural, global environments
• Proven track record of influencing partner win rates through hands-on technical engagement
• Passion for emerging markets and scaling partner ecosystems in high-growth regions 

What You’ll Get

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

#LI-TR1

About the Role

We are looking for a Senior Staff Software Engineer to join the Veeam Data Cloud (VDC) engineering team at its highest individual contributor tier. In this role, you will shape the long-term technical direction of VDC, operating with organization-wide scope and influence. You will define architectural standards, resolve the most complex and ambiguous engineering challenges, and mentor a generation of Staff and senior engineers.

This is a rare opportunity to be a founding technical voice on greenfield projects — designing next-generation data protection services that will be deployed and relied upon worldwide. You will be a trusted partner to engineering leadership, product management, and cross-functional stakeholders, bridging technical excellence with business strategy.

What You’ll Do

• Technical Strategy & Architecture

  • Own and drive the multi-year technical roadmap for the Veeam Data Cloud platform, aligning engineering decisions with company strategy.
  • Define, communicate, and enforce architectural standards, design patterns, and engineering principles across multiple teams and product areas.
  • Lead architectural reviews for major systems, proactively identifying structural risks and establishing long-term scalability and resilience frameworks.
  • Author foundational technical design documents (RFCs, ADRs) that serve as the engineering blueprint for the broader organization.

  Engineering Execution & Excellence

  • Personally contribute to the most critical, highest-complexity engineering challenges across the organization — including those that span team boundaries.
  • Design and develop highly reliable, planet-scale SaaS microservices integrated with managed cloud services (Azure, AWS, GCP) using Golang and modern cloud-native patterns.
  • Establish and champion engineering quality standards: testing philosophy, observability, performance benchmarks, security posture, and release reliability.
  • Drive the adoption of emerging engineering practices — including AI-powered developer tooling, automated code generation, and LLM-assisted testing and debugging.

  Organizational Leadership & Influence

  • Serve as the primary technical escalation point across engineering — resolving the most ambiguous, cross-cutting problems that no individual team can own alone.
  • Partner with engineering managers and directors to set execution standards, unblock delivery, and ensure timely, predictable outcomes across multiple teams.
  • Represent engineering in cross-functional leadership forums (product, security, infrastructure, finance) and act as a decision-maker on technical trade-offs with business impact.
  • Drive the organization-wide engineering culture: nurturing psychological safety, technical curiosity, and a bias toward measurable outcomes.

  Mentorship & Talent Development

  • Provide deep technical mentorship to Staff, Senior, and mid-level engineers, accelerating their growth and expanding team capability.
  • Lead structured technical coaching, design review sessions, and architectural war-games to sharpen engineering judgment across the organization.
  • Identify, recruit, and help retain top engineering talent; actively shape the interview process and hiring bar for senior roles.

  Operational Ownership

  • Participate in on-call rotation and lead incident response for critical production events, driving root cause analysis and systematic resolution.
  • Own post-incident reviews and embed learnings into platform improvements and operational runbooks.

What You’ll Bring

• 15+ years of progressive software engineering experience, with a proven track record as a principal-level individual contributor.
• Demonstrated expertise designing, building, and operating SaaS or large-scale cloud services on Azure, AWS, or GCP at organization-defining scale.
• Deep expertise in Go (Golang) and/or other systems-grade modern languages (C#, Java, Rust, Scala); polyglot mindset with language-agnostic design thinking.
• Mastery of distributed systems: event-driven architecture, eventual consistency, high-availability design, and fault-tolerant microservices.
• Expert-level command of container orchestration (Kubernetes, Docker) and cloud-native infrastructure patterns.
• Exceptional communication and leadership skills — able to drive clarity and alignment across engineering, product, and executive audiences.
• Strong computer science fundamentals: data structures, algorithms, concurrency, and systems design.
• A track record of delivering greenfield projects from zero to production at scale, with full ownership of quality, security, and reliability.

Bonus Skills

• Experience leveraging AI capabilities (LLMs, generative AI, co-pilot tooling) in product development workflows — either as a feature builder or as a force-multiplier for engineering productivity. 
• Hands-on experience building AI-powered features into SaaS products: integrating model APIs, designing prompt pipelines, or building AI-assisted developer experiences.
• Background in data protection, backup, disaster recovery, or storage infrastructure.
• Experience in platform or infrastructure engineering serving other engineering teams as internal customers.

What You’ll Get

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application. 

#LI-KP1

About the Role

We are looking for a Staff Site Reliability Engineer, you will serve as a hands-on technical leader within the SRE team, guiding senior engineers, influencing product development teams, and ensuring the systems we operate are built to be reliable, scalable, and observable from the ground up.

You will drive strategic initiatives, mentor others in the practice of SRE, and help define architectural best practices across our platform. This role is pivotal in aligning teams, enforcing high standards, and scaling SRE principles globally within Veeam.

What You’ll Do

Reliability Engineering & Resilience:

• Act as a technical authority in your area, mentoring senior engineers and guiding design choices that improve service reliability and resilience
• Lead the definition and enforcement of SLIs, SLOs, and error budgets; drive adherence across engineering teams
• Collaborate with Staff peers across teams to align strategy and champion shared reliability standards and goals
• Partner with development and product teams to proactively design for failure, build resilient architecture, and operationalize reliability from the start

Observability & Operational Excellence:

• Drive company-wide adoption of observability best practices and tooling
• Ensure metrics, logs, and traces provide deep, actionable insights across systems
• Lead complex incident responses, postmortems, and systemic reliability improvements
• Promote and enforce a blameless culture of learning and continuous improvement

Engineering at Scale:

• Lead initiatives in infrastructure as code, deployment automation, and resilience testing
• Influence the development and adoption of chaos engineering practices and release validation frameworks
• Partner with platform and security teams to ensure production readiness

Collaboration & Culture:

• Work closely with your peer Staff Engineers to plan, align, and deliver against reliability goals
• Provide architectural guidance and advocate for engineering rigor and consistency
• Represent the SRE team in technical leadership forums and product planning discussions

What You’ll Bring

• 8+ years of experience in a Software Engineering or SRE role, including technical leadership
• Demonstrated experience mentoring and guiding senior engineers
• Deep expertise in building distributed systems on public cloud (Azure preferred)
• Strong skills in programming (e.g., JS, Go, Typescript, Java, or C#)
• Hands-on experience with observability tooling (e.g., Prometheus, Grafana, OpenTelemetry)
• Mastery of infrastructure automation tools (Terraform, Pulumi) and container orchestration (Kubernetes)
• Ability to communicate clearly across geographies and disciplines

Bonus Skills

• Experience leading SRE initiatives across multiple product teams
• Background in chaos engineering, incident learning, or performance and load testing
• Familiarity with global compliance standards (ISO, SOC 2, GDPR, FedRAMP, CMMC)

What You’ll Get 

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application.

#LI-IU

Job Title: CMDB Analyst/ Configuration management 

About Us

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

WHY JOIN CAPCO?

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

MAKE AN IMPACT

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

#BEYOURSELFATWORK

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

CAREER ADVANCEMENT

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

DIVERSITY & INCLUSION

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

Role Description:

Job Title: CMDB Analyst/ ITSM/ ServiceNow

Location: Sarjapur, Bengaluru/ Hinjewadi, Pune

Hybrid Mode - 3 days WFO (Tues, Wed, Thurs) per week

Shift Time: EMEA

Overview: 

Role Description 

Engagement Overview CMDB Analyst to contribute to operational CMDB maintenance, data quality improvement, and configuration support in our development environment. The ideal candidate is comfortable learning systems independently, can write basic scripts for systematic cleanup, and understands CMDB/ITSM concepts without needing extensive supervision Key Focus Areas: Inbox/queue management, duplicate CI resolution, data source configuration and monitoring, relationship management, and proactive data quality initiatives Responsibilities

1. CMDB Inbox & Queue Management

• Monitor and triage CMDB intake queue/mailbox daily
• Respond to standard requests (CI updates, relationship corrections, ownership changes, lifecycle/status updates)
• Categorize and route complex issues; escalate appropriately

1. Data Quality & Duplicate Resolution

• Identify and systematically remove duplicate CIs using scripts and bulk operations
• Write simple scripts (JavaScript/ServiceNow scripting) to automate repetitive cleanup tasks
• Reconcile CI records across integrated sources (discovery, asset management, cloud platforms)
• Flag and resolve data conflicts, missing attributes, and stale records
• Execute bulk updates following documented data standards

1. Data Source Configuration & Management

• Configure and onboard new data sources feeding into the CMDB
• Map and label which data sources should update which CI classes/attributes
• Monitor data feed health (expected CI counts, attribute population, load failures)
• Perform basic troubleshooting of integration issues; open incidents with source owners when needed
• Work in dev environment to test and validate data source configurations before production

1. CI Relationship & Dependency Management

• Create, update, and validate CI relationships and service dependencies
• Collaborate with application/service owners to ensure relationship accuracy
• Identify and document systemic relationship gaps, data quality issues, and process bottlenecks
• Solve straightforward issues independently using basic scripting, bulk updates, or configuration changes
• Escalate complex problems to engineering with clear documentation of the issue, impact, and potential solutions
• Track remediation progress and validate fixes

1. UAT & Testing Support

• Support testing and validation of CMDB changes in lower environments
• Provide feedback to admins and engineers on configuration changes
• Participate in data source validation before production deployment Required Skills & Qualifications Must-Have:
• ServiceNow experience with hands-on CMDB and ticketing module usage
• Ability to write basic scripts for data cleanup and automation (JavaScript, ServiceNow scripting, or similar)
• Self-sufficient learner who can explore systems, understand configurations, and solve problems with minimal guidance
• Strong understanding of CMDB concepts: CI records, attributes, relationships, lifecycle/status, data reconciliation
• Experience with data quality work: identifying duplicates, reconciliation, bulk updates
• Ticket triage and customer communication skills
• Proficiency in Excel (pivot tables, vlookups, data manipulation) Preferred:
• Experience configuring or managing data sources/integrations in ServiceNow (Discovery, Integration Hub, import sets)
• Familiarity with CI reconciliation and normalization (Identification & Reconciliation Engine - IRE)
• ITIL Foundation or ITSM framework knowledge
• Experience writing ServiceNow Business Rules, Transform Maps, or scheduled jobs
• Exposure to API integrations or middleware platforms

If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

The Role:

We are currently seeking an Architect to join our OneStream practice in Bangalore, Jaipur, or Pune. In this role, you will lead the design and delivery of OneStream solutions, build strong client relationships, and provide strategic oversight to project teams.

In this role, the ideal candidate will be able to:

• Collaborate with clients to integrate OneStream Software into their FP&A processes, offering guidance on best practices.
• Manage client expectations and ensure accountability throughout the project lifecycle.
• Identify and pursue new opportunities within existing client accounts.
• Review and refine functional and technical project deliverables.
• Evaluate task estimates and technical solutions; finalize effort estimations and project plans.
• Continuously seek opportunities to enhance the delivery process of OneStream solutions.

You have:

• 8+ years of experience in FP&A projects, with a strong focus on OneStream or Oracle Hyperion PBCS/EPBCS implementations.
• Experience as a Solution Architect on at least 3 full lifecycle OneStream or Oracle Hyperion projects.
• Excellent verbal, written, and presentation communication skills.
• Strong business acumen and deep functional knowledge of EPM/CPM applications.
• Proven ability to manage project scope, client expectations, and team performance.
• Demonstrated track record of issue resolution and follow-through.
• Experience in mentoring and developing team members.

What else to expect

As an employee of Spaulding Ridge, you will gain exposure to an early stage growth company providing innovative opportunities to impact our clients in a meaningful way. 

In the OneStream practice we invest in your learning by providing ongoing training through our partnership with OneStream to ensure your success in implementing their technology offerings to meet our client's needs.

We believe giving back is core to our values and as part of this effort, you will be given the opportunity to participate in SR’s day of service, giving back to our global community.  We offer a competitive benefit package, including flexible time off, medical, dental, vision and life insurance and much more.  

We take care of you! Here are some our great perks and top benefits to highlight:

• Competitive benefits package, including medical, dental, vision, and Life insurance
• Flexible Time Off
• Paid holiday time
• Paid maternity and paternity leave
• Monthly technology and wellness allowance
• Annual training allowance program

#LI-BS1

The Role

We are looking for an elite engineer who builds like a hacker and communicates like a consultant. You will not just be building models in a notebook; you will be deployed to the front lines to build, architect, and ship end-to-end Agentic AI products directly for our most strategic customers.

This is a high-stakes role. You will face "tricky" customers who have vague requirements and high expectations. Your job is to translate their chaos into technical order, write production-grade code, and deploy autonomous agents that solve their actual business problems.

What You Will Do

• Build & Deploy (60%):

Design and ship full-stack AI applications. You own the pipeline from data ingestion to the LLM inference layer to the frontend interface.

Architect autonomous agentic workflows (using frameworks like LangChain, LangGraph, or custom implementations) that can reason, plan, and execute complex tasks.

Write robust, clean, and highly testable code (Python/Typescript). "It works on my machine" is not acceptable; it must work in the customer's restricted cloud environment.

Handle DevOps and MLOps constraints: Dockerizing agents, managing Kubernetes clusters, and optimizing inference latency.

• Customer Engineering (40%):

Serve as the technical face of the company for our most demanding accounts.

Navigate complex stakeholder environments. You will push back on unrealistic demands, clarify ambiguous requirements, and steer "tricky" customers toward technically feasible solutions without breaking rapport.

Translate technical constraints into business value for non-technical executives.

Generate high-quality data for our customers and ability to review the data generated by other experts. This is one of the most critical aspects of the role.

The "Must-Haves"

• Experience: 8–12 years of total engineering experience. You started as a strong Software Engineer and evolved into an AI specialist.
• Education: B.S./M.S. in Computer Science, Math, or Physics from a top-tier institution (IIT, MIT, Stanford, Harvard, Berkeley, CMU, or similar global top-ranking universities).
• Deep AI Fluency: You aren't just calling APIs. You understand RAG implementation nuances, vector database optimization, fine-tuning (LoRA/PEFT), and the architecture of agentic loops.
• Production Engineering: Experience with end-to-end deployment (AWS/GCP/Azure, CI/CD pipelines, Terraform, Docker).

The "Why You" (Soft Skills)

• Thick Skin & High EQ: You don't get flustered when a customer changes their mind for the third time in a week. You can hold your ground with a CTO and explain "why not" to a CEO.
• Extreme Attention to Detail: You catch the edge cases that others miss. You obsess over error handling, retry logic in agents, and data privacy.
• Grit: You enjoy the "messy" work of integrating legacy enterprise data just as much as prompting the latest model.

What will set you apart

• Public Code: A visible GitHub footprint is very helpful. We want to see your side projects, your contributions to open source, or your experiments with LLMs. Please include your GitHub link in your application.

Tech Stack

• Languages: Python (Expert).
• AI/Data (Expertise in all is not required): PyTorch, LangChain, LlamaIndex, Pinecone/Weaviate, OpenAI/Anthropic APIs, HuggingFace.
• Infra (Expertise in all is not required): Kubernetes, Terraform, AWS/GCP.

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

About AlphaSense 

AlphaSense is a market intelligence and search platform used by the world's leading companies and financial institutions. Since 2011, our AI-based technology has helped professionals make smarter business decisions by delivering insights from an extensive universe of public and private content—including equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. 

Headquartered in New York City, AlphaSense employs over 1,350 people across offices in the U.S., U.K., Finland, Germany, India, and Singapore. For more information, please visit www.alpha-sense.com. 

About the Team 

The Customer & Product Support (C&PS) team sits at the intersection of sales, customer success and technical support. Through close teamwork and collaboration, we drive positive customer outcomes and ensure seamless access and optimal utilization of AlphaSense’s market-leading platform and products. We are committed to enhancing every user’s experience through consistent delivery of prompt and knowledgeable responses. The Customer & Product Support team is based globally across the US, UK, India and Singapore. 

About the Role 

We are looking to hire an Analyst, Customer & Product Support to join the growing C&PS team at AlphaSense. This role marries the technical knowledge of our solution with a deep understanding of our users, across all of the segments and business units that we work with, to realize maximum value from the platform. The team is heavily relied upon to contribute excellent customer service, which ultimately maximizes prospect and customer health. In order to learn our business and customer inside and out, this team acts as our first line of support. This role spearheads usage and engagement and partners with our product management and engineering teams in determining future product developments that will resonate with the market. 

Customer and Product Support is an excellent launching off point to accelerate your personal growth and career at AlphaSense. The role offers cross-functional exposure across our

business, consequently providing you with great exposure to the different areas you may want to develop your career in, as you grow with us. 

Who You Are 

• An intelligent, articulate, consultative and confident client-facing professional with 1-2 years of experience working in a client/product support role. 
• You possess a customer-first mindset and enjoy working through complex problems to find solutions. 
• You enjoy being part of an entrepreneurial team and work diligently to help others when needed. 
• You are a strong communicator and have an innate ability to distill and explain complex issues in simple terms. 
• Possess strong analytical, critical thinking and problem solving abilities. ● A team player who enjoys building strong cross-group working relationships. ● You are curious, proactive and possess a continuous improvement mindset with the ability to learn quickly and adapt. Because of our diverse base of clients, much of the technical knowledge required to succeed will be learned on the job. 

• You have strong attention to detail, effective time management skills and the ability to rigorously prioritize under pressure. 
• You have an interest in AI, technology and software applications. 

What You’ll Do 

• Deliver a world-class customer experience. 

○ Act as the first line of defense and advocate for all of customers globally to ensure we deliver a consistently positive customer experience through timely responses and effective resolution of queries and issues. 

○ Guide customers through features and functionalities to maximize their experience and fully resolve their challenges or questions. 

○ Deliver on predefined team targets including delivering outcomes with high quality and excellence. 

• Provide impeccable customer support. 
  

○ Investigate, diagnose, troubleshoot and find solutions for queries sent through emails and live chats, leading support calls directly with customers as needed. ○ You will escalate tickets to appropriate teams when needed and will retain a position as the customer’s point person through regular updates and confirming resolution. 

○ Collaborate effectively with technical and non-technical global stakeholders.

• Be an expert on our product and continuously build your knowledge.     

○ Be an expert on the AlphaSense product by proactively learning, staying up-to-date on new features and filling any gaps in your knowledge 

○ Identify areas to improve content and contribute to creating and updating knowledge base articles, tutorials, and other support documentation based on their expertise. 

○ Assist with special projects as assigned.

About AlphaSense 

AlphaSense is a market intelligence and search platform used by the world's leading companies and financial institutions. Since 2011, our AI-based technology has helped professionals make smarter business decisions by delivering insights from an extensive universe of public and private content—including equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. 

Headquartered in New York City, AlphaSense employs over 1,350 people across offices in the U.S., U.K., Finland, Germany, India, and Singapore. For more information, please visit www.alpha-sense.com. 

About the Team 

The Customer & Product Support (C&PS) team sits at the intersection of sales, customer success and technical support. Through close teamwork and collaboration, we drive positive customer outcomes and ensure seamless access and optimal utilization of AlphaSense’s market-leading platform and products. We are committed to enhancing every user’s experience through consistent delivery of prompt and knowledgeable responses. The Customer & Product Support team is based globally across the US, UK, India and Singapore. 

About the Role 

We are looking to hire an Analyst, Customer & Product Support to join the growing C&PS team at AlphaSense. This role marries the technical knowledge of our solution with a deep understanding of our users, across all of the segments and business units that we work with, to realize maximum value from the platform. The team is heavily relied upon to contribute excellent customer service, which ultimately maximizes prospect and customer health. In order to learn our business and customer inside and out, this team acts as our first line of support. This role spearheads usage and engagement and partners with our product management and engineering teams in determining future product developments that will resonate with the market. 

Customer and Product Support is an excellent launching off point to accelerate your personal growth and career at AlphaSense. The role offers cross-functional exposure across our

business, consequently providing you with great exposure to the different areas you may want to develop your career in, as you grow with us. 

Who You Are 

• An intelligent, articulate, consultative and confident client-facing professional with 1-2 years of experience working in a client/product support role. 
• You possess a customer-first mindset and enjoy working through complex problems to find solutions. 
• You enjoy being part of an entrepreneurial team and work diligently to help others when needed. 
• You are a strong communicator and have an innate ability to distill and explain complex issues in simple terms. 
• Possess strong analytical, critical thinking and problem solving abilities. ● A team player who enjoys building strong cross-group working relationships. ● You are curious, proactive and possess a continuous improvement mindset with the ability to learn quickly and adapt. Because of our diverse base of clients, much of the technical knowledge required to succeed will be learned on the job. 

• You have strong attention to detail, effective time management skills and the ability to rigorously prioritize under pressure. 
• You have an interest in AI, technology and software applications. 

What You’ll Do 

• Deliver a world-class customer experience. 

○ Act as the first line of defense and advocate for all of customers globally to ensure we deliver a consistently positive customer experience through timely responses and effective resolution of queries and issues. 

○ Guide customers through features and functionalities to maximize their experience and fully resolve their challenges or questions. 

○ Deliver on predefined team targets including delivering outcomes with high quality and excellence. 

• Provide impeccable customer support. 
  

○ Investigate, diagnose, troubleshoot and find solutions for queries sent through emails and live chats, leading support calls directly with customers as needed. ○ You will escalate tickets to appropriate teams when needed and will retain a position as the customer’s point person through regular updates and confirming resolution. 

○ Collaborate effectively with technical and non-technical global stakeholders.

• Be an expert on our product and continuously build your knowledge.     

○ Be an expert on the AlphaSense product by proactively learning, staying up-to-date on new features and filling any gaps in your knowledge 

○ Identify areas to improve content and contribute to creating and updating knowledge base articles, tutorials, and other support documentation based on their expertise. 

○ Assist with special projects as assigned.

Overview

The Ad Exchange development team at GumGum is responsible for the technical development and operations of our Ad Exchange technology. The Ad Exchange software handles a high volume of requests (40 million requests per minute) and is a highly distributed Java web service. Our team currently uses technologies such as Java, Spring, MySQL, Kafka, Aerospike, ScyllaDb, Memcached, and more.

This role works with product managers and various engineering teams to deliver on priorities for the company, making a significant impact on a key revenue stream for the business.  You’ll be expected to take ownership of complex features, mentor engineers, and influence technical direction while collaborating with cross-functional partners across Product, Design, DevOps, Data Engineering and other teams. 

Note: This position offers the opportunity for remote work or 'work from home' as there isn't a nearby office. However, GumGum is excited to only consider applicants residing in India.

What You'll Achieve

• Design, build, and deliver highly scalable and low-latency services in Java using Spring and distributed data systems.
• Architect solutions with a focus on performance, maintainability, and reliability.
• Integrate with supply-side and demand-side partners and enhance core exchange workflows.
• Work closely with ML and data teams to integrate optimization models into the exchange.
• Mentor engineers within the India team, contributing to technical growth and best practices.
• Write high-quality, testable, and well-structured code.
• Troubleshoot and resolve production issues and contribute to improving system stability and latency.
• Collaborate with Product and internal stakeholders to define and execute technical priorities.
• Optimize infrastructure usage and improve the efficiency of the exchange.
• Conduct detailed code reviews and contribute to maintaining high engineering standards.
• Build a deep understanding of the Ad Tech ecosystem to help influence engineering direction.
• Implement ad tech features, privacy frameworks, and external partner integrations.
• Contribute to internal documentation and knowledge sharing across global engineering teams.

Skills You'll Bring

• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• 6+ years of experience as an engineer with understanding of programming languages, preferably Java and Spring Framework
• A history of successfully shipping products into production
• Experience in taking ownership of end to end product implementation and providing stakeholder updates
• Preferred experience in a high volume transaction system > 100k transactions/second
• Experience in Ad Tech, CTV and Real-Time bidding is a plus
• Excellent communication skills and demonstrated ability to work with cross-functional teams across timezones, including remote collaboration
• Fast learner with excellent problem-solving skills in highly complex multi-threaded applications
• Experience working with AWS and distributed systems such as Kafka, Aerospike or equivalent large scale data storage/processing systems
• Experience with MySQL or similar RDBMS systems
• Analytical thinking and understanding complex logic
• An understanding of RTB (Real Time Bidding protocol)
• Experience working with Git, Gradle, and CI/CD delivery pipelines

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.

Overview of Role

As a Solution Consultant, you will work closely with Sales, Engineering, and Service Delivery teams to ensure our customers are achieving successful implementations. You will be responsible for crafting robust architectural proposals and delivering Statements of Work (SOWs) that engineering teams can successfully execute. Through your collaborative interactions with our teams and clients, you’ll have an active role in shaping our customer’s experience from start to finish.

In partnership with the sales team, you will formulate and execute a technical sales strategy to exceed revenue objectives through the adoption of the Google Cloud Platform. As a trusted customer advocate, you will help customers understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to these solutions. Additionally you will educate customers of all sizes on the value proposition of Cloud and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud or on-premise as needed.

Responsibilities

• Collaborate with sales and engineering teams to understand customer requirements and develop tailored cloud solutions using Google Cloud Platform services.
• Build strong relationships with key stakeholders and decision-makers to drive customer success and satisfaction.
• Specify the deliverables of services projects by developing detailed project Statement of work (SOWs).
• Put on consulting hat during stakeholder engagements and drive full stack thinking around both business and technology levers
• Assist the sales team with the preparedness and delivery of technical presentations, estimations, and Statements of Work.
• Be a technical and business consultant to our clients before, during, and after implementations.
• Differentiate 66degrees products and services from our competitors by understanding the market and industry intimately.
• Design and propose custom cloud based solutions for clients based on your research and their needs.
• Prepare demonstrations and proof of concept environments based on client requirements.
• Act as a technical resource for our team by continually bringing value and an innovative mindset to our projects.
• Assist with and perform deliverable work for clients to gain first-hand experience with solutions. 
• Embrace 66degrees team mentality by providing our team general support on new products and technology in the market.

Qualifications 

• 3+ years of experience working within Google Cloud Platform (GCP) or Azure/AWS; GCP Preferred.
• Professional level certification in GCP is required within first 90 days of employment.
• Experience strategizing, designing, architecting, and leading the deployment of scalable solutions on GCP, strongly preferred. 
• Experience with traditional and cloud infrastructure as well as cloud migrations.
• Experience with the primary managed data services within GCP, including Cloud Bigtable, Cloud Spanner, Cloud SQL, or BigQuery.
• Experience with using AI Platform, GE Agent Platform, Agent Studio, or BigQuery ML to manage and deploy machine learning models.
• Specify the deliverables of services projects by developing detailed project scopes of work (SOWs); Assist sales team with preparedness and delivery of technical presentations, estimations, and Statements of Work.
• Experience with container engines: Kubernetes, Docker, AWS Elastic Container Service.
• Experience with automation technologies including Terraform, Google Cloud Deployment Manager, AWS Cloud Formation or Microsoft Azure Automation
• Experience working with engineering and sales teams to elicit customer requirements.
• Ability to communicate across business units and the ability to interface with and communicate complex technical concepts to a broad range of internal and external stakeholders
• Advocate and demonstrate the value of the Google Cloud and service offerings to prospects.
• India: Willingness to work 12.30pm to 9.30pm IST shift for overlap with global team. 

At Ensono, our Purpose is to be a relentless ally, disrupting the status quo and unleashing our clients to Do Great Things!  We enable our clients to achieve key business outcomes that reshape how our world runs. As an expert technology adviser and managed service provider with cross-platform certifications, Ensono empowers our clients to keep up with continuous change and embrace innovation.

We can Do Great Things because we have great Associates. The Ensono Core Values unify our diverse talents and are woven into how we do business. These five traits are the key to achieving our purpose:

Honesty, Reliability, Curiosity, Collaboration, and Passion.

About the role and what you'll be doing: 

Ensono is seeking a Senior Manager, Digital Experience & Web Platforms to lead our enterprise web strategy and drive the evolution of a modern, customer-centric digital ecosystem. This strategic leadership role owns the vision, architecture, and governance of Ensono’s web platforms, which serve as the foundation for our digital marketing, ABM, and customer engagement initiatives.

You will act as the technical and strategic owner of Ensono’s web presence, partnering closely with Marketing Operations, Brand, Content, IT, Security, Legal, and external agencies to deliver scalable, secure, and highly personalized digital experiences across the B2B buyer journey.

Key Responsibilities

Platform Strategy & Architecture

• Own the strategic vision and technical roadmap for Ensono’s enterprise web platforms
• Evaluate, design, and implement modern CMS solutions (headless, hybrid, or traditional) that support scalability, performance, and innovation
• Establish architecture standards, development best practices, and governance frameworks to ensure consistency, quality, and security
• Design and maintain content models, taxonomies, metadata frameworks, and personalization-ready architectures

Website Personalization & Orchestration

• Develop digital experience strategies aligned to ABM and B2B buying journeys
• Lead the design of personalization frameworks leveraging behavioral, firmographic, and intent data
• Partner with marketing leadership to deliver persona-based and industry-specific experiences that drive engagement and conversion

Technical CMS & Integration Management

• Oversee day-to-day performance, uptime, and security of the enterprise CMS platform
• Manage integrations across CRM (Salesforce), marketing automation, CDPs, analytics, ABM platforms, and tag management systems
• Partner with Marketing Operations to ensure reliable tracking, attribution, and data flow across all digital touchpoints

SEO, Analytics & Optimization

• Embed technical SEO and GEO best practices across the platform, including Core Web Vitals, site architecture, schema markup and crawlability
• Build and maintain measurement frameworks and executive dashboards that track engagement, pipeline influence, and business impact
• Drive continuous improvement and tracking through A/B testing, experimentation, and data-driven optimization (GA4)

Strategy, Governance & Leadership

• Establish scalable content governance models, workflows, and approval processes
• Lead and mentor cross-functional teams including developers, designers, content teams, agencies, and vendors
• Build strong partnerships with IT, security, legal, and compliance to ensure adherence to enterprise and regulatory standards (GDPR, CCPA, accessibility)

Innovation & Industry Leadership

• Monitor emerging web, MarTech, and digital experience trends
• Evaluate and pilot AI-driven tools and capabilities that enhance personalization, productivity, and user experience
• Share thought leadership internally and externally to position Ensono as a digital experience leader

We want all new Associates to succeed in their roles at Ensono. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Required Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply. 

What You Will Need:

• 8+ years of hands-on experience in web platform management and development, with at least 3 years in a leadership role
• Proven success architecting and managing enterprise-scale web platforms in B2B technology or complex business environments
• Deep expertise with modern CMS platforms (Adobe Experience Manager, Optimizely, Contentful, Sitecore, WordPress), including headless/composable architectures
• Strong understanding of MarTech ecosystems including CRM, marketing automation, CDPs, analytics, and ABM platforms
• Advanced knowledge of technical SEO and GEO, web analytics (GA4), conversion optimization, and experimentation methodologies
• Expert-level understanding of modern web technologies, APIs, integration patterns, and cloud-based infrastructure
• Strong communication skills with the ability to translate technical concepts for non-technical stakeholders
• Data-driven, customer-obsessed mindset with a balance of strategic vision and practical execution

Bonus Qualifications

• Experience supporting account-based marketing (ABM) strategies and complex B2B buying journeys
• Familiarity with DevOps practices and CI/CD pipelines for web platforms
• Experience working within regulated or compliance-driven environments
• Demonstrated success leading digital transformation initiatives at scale

Why Ensono?

Ensono is a place to make better happen – for our clients and for your career. You can do great things through innovation or collaboration, by learning or volunteering, or to promote diversity and inclusion. You can do great things for your own health or for a healthier planet. Whatever it means to you to do great things we want Ensono to be the place you can do it. 

We are a client-facing business, but we do encourage clients to allow us to work remotely most of the time so if you are not required to be on a client site, you can choose to work from home or in our Ensono offices

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

What’s in it for you?

List at least two comparative wins for this role over another that someone might consider. Example follows.

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career
There are plenty of jobs out there. The question is whether any of them will help you grow in your career? Will you be challenged by teammates to achieve your potential? Or are they roles that will ask you to do more of what you've already mastered. At Fictiv, you'll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact In This Role

As a Salesforce engineering leader at Fictiv, you will build and manage high-performing teams by making strategic, culture-aligned hiring decisions and using data to optimize capacity. You’ll foster an environment of ownership and continuous learning, coaching Scrum teams in Agile excellence to ensure consistent, high-quality delivery.

By bridging the gap between business goals and technical execution, you will define a clear technical vision, manage complex integrations, and partner with Architects to modernize the roadmap while reducing tech debt. Ultimately, you take full accountability for engineering deliverables, ensuring they are scalable, on schedule, and held to the highest standards of quality and excellence.

What You’ll Be Doing

• Build and take ownership of the Salesforce engineering team and drive excellence.
• Brainstorm ideas of how to improve training, process, hiring, etc
• Participate in your team’s coaching, personal development, performance management, and career growth.
  
• Set clear expectations and goals for team members and create opportunities for team members to showcase their work
  
• Facilitate team-building activities
  
• Build an in-depth understanding of the code owned by the team.
  
• Encouraging knowledge sharing and collaboration
  
• Identify and address recurring issues in development cycles and improve speed of development.
  
• Ensure code quality and best practices
  
• Collaborate with Product Owners and stakeholders in understanding the requirements and translating them into technical designs.
  
• Provide high-level technical recommendations, approaches, and feedback.
  
• Create and maintain project timelines
  
• Identify dependencies between different systems and facilitate communication between cross-functional teams.
  
• Drive the execution and delivery of features by collaborating with many multi-functional teams, architects, product owners and engineers.
  
• Conduct risk assessments throughout the project’s lifecycle and provide updates to the stakeholder’s progress of each project you manage.
  
• Resolve cross-team coordination issues that may impact progress.
  
• Manage expectations and negotiate scope changes.
  
• Facilitate decision-making processes when trade-offs are necessary
  
• Ensure smooth handoff between development, QA, and plan for the software releases.
  
• Identify repetitive tasks that can be automated
  
• Encourage the development of internal tools to boost productivity
  
• Allocate time for refactoring and system improvements
  
• Encourage experimentation with new tools or methodologies

Desired Traits

• 12+ years of overall experience in engineering
  
• 7+ years of hands-on experience working in Salesforce
  
• Proven experience in developing Salesforce solutions with a deep understanding of Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
  
• Have worked in Salesforce CPQ, Sales, Manufacturing, Service, Data Cloud.
  
• Experienced in designing and implementing custom solutions that align with business needs.
  
• Strong knowledge of Salesforce data modeling, reporting, and database design.
  
• Has played the role of an Architect
  
• Demonstrated experience in building and maintaining integrations between Salesforce and external applications.
  
• 3+ years of leading software engineering teams in an agile environment
  
• Experience in hiring, mentoring, and leading engineers
  
• Bachelor's Degree in computer science, computer science engineering, or related experience required; advanced degree preferred
  
• Strong knowledge of Salesforce product and platform features, capabilities, and best use of it
  
• A good understanding of enterprise architecture principles is strongly preferred
  
• Active Salesforce Certifications are desirable (preferably Development Lifecycle & Deployment Architect, Application Architect,
  
• Experience in Mulesoft is a plus
  
• Ability to quickly grasp and distinctly explain technological and business concepts
  
• Experience in CI/CD
  
• Experience with agile software development methodologies and practices
  
• Prior experience leading teams in an agile environment.
  
• Strong oral and written communication skills, organizational and time management skills
  
• Ability to set priorities and multi-task in a fast-paced environment.
  
• Demonstrates analytical thinking, problem-solving
  
• Experience in communicating with users, other technical teams, and product management to understand requirements, describe software product features, and technical designs.

Interested in learning more?  We look forward to hearing from you soon.

Impact In This Role

At Fictiv, we enable product innovators to create. Our platform accelerates product creation, allowing our customers to push technological boundaries – from self-driving cars to low-cost water purification systems.We are looking for an Engineering Manager who can provide strong technical leadership while guiding and developing a high-performing engineering team.This role combines deep technical expertise with people leadership, focusing on building reliable, scalable solutions while mentoring engineers and fostering a culture of engineering excellence and continuous growth.

What You’ll Be Doing

Build a high-performing team where engineers can do their best work

-Coach, mentor, and develop engineering talent through regular feedback, performance management, and career growth planning, while helping scale the team as needed.

-Collaborate with business and technical stakeholders to gather requirements, clarify objectives, and translate needs into scalable technical solutions and platform capabilities.

-Establish and continually improve team processes to enable iterative delivery, innovation, and high reliability

-Drive near- and long-term improvements to engineering-wide activities such as development practices, hiring / onboarding, team cohesion, and incident response

-Resolve systemic obstacles to team health, system performance, and team delivery

-Embrace and extend a culture of transparency, safety, and growth.

Desired Traits

Management & Leadership Experience

• 12-15 years of professional software engineering experience, with 3+ years in an engineering management role.
• Experience managing technical teams of 5-8 engineers with demonstrated ability to scale teams.
• Demonstrated experience in project planning and execution, including scope definition, prioritization, risk management, and delivery tracking across multiple work streams.
• Strong ability to manage cross-functional dependencies and drive alignment across engineering and product teams while leading delivery using Agile methodologies (Scrum/Kanban), including sprint planning, milestone management, and stakeholder communication.
• Track record of building high-performing teams and developing engineering talent
• Proven ability to balance competing priorities while ensuring on-time delivery, quality, and long-term platform scalability.
• Work with business stakeholders to understand requirements and translate them into scalable technical solutions.

Technical Expertise

• Strong working experience in platform and API development using Node.js and GraphQL, frontend enablement using React and TypeScript/JavaScript.
• Proven experience designing, deploying, and operating cloud-native services on AWS, with an understanding of scalability, security, and cost optimization.
• Ability to remain sufficiently hands-on to review technical designs, guide complex implementations, and unblock teams when required.
• Strong understanding of distributed systems, API design, and modern DevOps practices, including CI/CD, observability, and operational readiness.
• Demonstrated technical judgment and problem-solving skills, with the ability to make informed trade-offs.

Communication And Collaboration Skills

• Excellent written and verbal communication skills.
• Ability to communicate technical information to both technical and non-technical audiences.
• Strong interpersonal skills and the ability to work effectively in a team.
• Ability to collaborate with cross-functional teams and stakeholders.

Impact In This Role

At Fictiv, we enable product innovators to create. Our platform accelerates product creation, allowing our customers to push technological boundaries – from self-driving cars to low-cost water purification systems.

We're looking for a Integration Engineer to connect our SaaS applications using the latest integration technology and support team members in their day-to-day technical as well as career development needs. You will learn how the entire business operates and use your expertise to drive operational efficiency and enable sales growth. As a Senior Integration Engineer, you will set the example in best practices and nurture a culture of thriving. 

Areas of Responsibility (Job Description)

• Develop integrations between enterprise SaaS system such as Salesforce, NetSuite, Marketo, and JIRA
• Understand business requirements and translate into reusable, scalable, and secure technical solutions
• Work closely with software development teams to document and deliver solutions in a timely manner
• Ensure robust solutions with Munit and end-to-end testing
• Measure and forecast vCore capacity requirements for new and existing integrations as data volume scales
• Provide meaningful expertise on technical design patterns and business processes
• Provide technical direction and engineering leadership for a team of engineers
• Contribute to the design and development of new products and features
• Ensure that engineering standards are followed
• Maintain product quality
• Drive operational excellence, and help monitor and help remediate issues in production

Desired Traits, Qualifications, Education and Experience Equivalency

• Mulesoft Certified Developer & Developer II - Good to have
• 5-7 years of hands-on experience developing end-to-end API integrations with Mulesoft, with at least 2 years in a leadership role
• Deep understanding of Mulesoft API-led connectivity, integration best practices and engineering principles. 
• Familiarity with CRM, ERP, and Finance systems such as Salesforce and Netsuite
• Strong understanding of relational databases and fluency with SQL
• Desire and ability to mentor and guide other engineers
• Strong technical and problem-solving skills
• Excellent communication and interpersonal skills

What’s in it for you?

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career
At Fictiv, you'll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact In This Role

The Data Intelligence team creates reports and dashboards to provide meaningful insights from the data warehouse. This team works closely with cross-functional stakeholders and leverages multiple Business Intelligence (BI) technologies to enable data-driven decision-making across the organization.
As a Senior Data Engineer on the Data Intelligence team, you will play a key role in designing, managing, and evolving Fictiv’s reporting data warehouse and semantic layer. You will partner closely with the Data Intelligence Manager, Data Engineers, Data Analysts, and Product Managers to ensure replicated data from production systems is transformed into scalable, trusted semantic data models that power consistent, accurate self-service reporting. Acting as a bridge between business and technology, you will translate analytical requirements into well-structured data models and transformations that enable reliable dashboards and insights across multiple domains.
In addition, you will collaborate with Infrastructure, Software, and Systems Engineering teams to strengthen database design and query efficiency across the broader data ecosystem. You will provide hands-on guidance on optimal table structures, indexing and clustering approaches, and SQL query patterns that improve performance and scalability. By proactively identifying bottlenecks and recommending architectural and modeling improvements, you will help ensure that both analytical and operational workloads are efficient, maintainable, and aligned with best practices.
This is a hands-on role responsible for leading the design, transformation, implementation, and operation of data solutions across disparate source systems—driving best practices in data modeling, semantic layer design, performance optimization, documentation, and governance. You will plan, design, and operate data pipelines and models using Agile methodologies to deliver high-quality, maintainable, and secure data assets

You will report to the Data Analytics Manager.

What You’ll Be Doing

• Design efficient, scalable, and maintainable semantic data models that align with business logic and enable intuitive self-service analytics and reporting across multiple domains.
  
• Build, maintain, and optimize data transformations and pipelines that transform replicated production data into trusted, analytics-ready models.
  
• Collaborate with stakeholders across data, engineering, product, and business teams to resolve data-related issues, clarify requirements, and align on solution design.
  
• Provide technical leadership and guidance to Software Engineers and Data Engineers on query performance, optimization techniques, and efficient data access patterns.
  
• Drive ongoing improvement of database and table structures, partnering with engineers to validate and refine table design, joins, partitioning/clustering, and other performance-related considerations.
  
• Review and advise on SQL query design for both application and analytics use cases, helping teams design queries that are performant, maintainable, and cost-effective.
  
• Analyze performance metrics and execution plans to identify bottlenecks in data models, queries, and transformations, and recommend practical tuning and refactoring opportunities.
  
• Follow and contribute to SQL coding standards, data modeling best practices, change control procedures, and data warehouse governance processes.
  
• Develop and maintain data flow diagrams, data dictionaries, and schema documentation with a focus on clarity, consistency, and enterprise data management.
  
• Understand and document end-to-end data flows and dependencies from production systems through the ELT pipeline into Snowflake and downstream BI tools, supporting delivery, release, and change management.
  
• Execute and lead data design sessions and technical reviews to gather requirements, validate modeling approaches, and communicate design decisions and trade-offs to stakeholders.
  
• Research emerging technologies, patterns, and tools related to Snowflake, dbt, SQL optimization, and semantic modeling, and recommend enhancements to Fictiv’s data platform and practices.
  
• Help set broad direction and vision for the reporting data platform architecture, influencing data engineering, analytics, and application data design strategy.
  
• Partner with internal and external teams for knowledge transfer and smooth handoff in advance of new feature launches or reporting changes.
  
• Work effectively with remote and cross-functional teams across time zones, fostering strong communication and collaboration.
  
• Proven experience working with large and complex datasets and comfort writing advanced SQL queries or leveraging BI tools for analysis and transformation.
  
• Deep understanding of data and analytics architecture, including data warehousing concepts, semantic data modeling, and data integration best practices, with a strong focus on Snowflake and ELT pipelines.
  
• Strong knowledge of SQL and BI concepts, including dimensional modeling, data warehouse design, and dashboarding; ability to translate analytical needs into robust semantic models.
  
• Demonstrated ability to guide and influence database and schema optimization, including improving query performance, advising on efficient access patterns, and ensuring well-structured data that support scalable workloads.
  
• Experience mentoring and guiding Data Engineers and Software Engineers to develop robust, scalable, and maintainable data models, queries, and database structures.
  
• Ability to design and maintain data transformation and workload management processes, including job orchestration, dependency handling, scheduling, and metadata management.
  
• Excellent analytical skills and experience working with both structured and semi-structured data, from exploration through to production-ready models.
  
• Ability to evaluate new tools, database features, and methodologies relative to the existing data stack and propose detailed, pragmatic recommendations for improvement.
  
• Strong ability to perform root cause analysis on data quality, performance, and process issues to identify inefficiencies, ensure data integrity, and deliver actionable insights.
  
• Clear and effective communicator—capable of providing business context for engineers and technical context for non-engineers, especially around trade-offs in model and schema design.
  
• Confident presenting to audiences with mixed levels of technical understanding and experience, including walkthroughs of models, schemas, and query patterns.
  
• Curious, resourceful, and adaptable; comfortable navigating ambiguity, learning new technologies (e.g., new Snowflake/dbt features), and evolving processes to improve outcomes.

Desired Traits

• B.S. in Data Science, Computer Science, Information Systems, or a related field.
  
• 15+ years of experience as a Data Engineer, designing and maintaining large-scale data systems, building scalable data models, and delivering analytical solutions through modern BI and data pipeline tools.
  
• 10+ years of experience working with modern cloud and on-premise database platforms—such as Snowflake, AWS Redshift, Azure Synapse, Google BigQuery, or traditional RDBMS systems (e.g., PostgreSQL, MySQL, SQL Server, Oracle)—with a strong focus on schema design, query performance, execution plan analysis, and scalable data access patterns, rather than day-to-day operational administration.
  
• 8+ years of experience developing and maintaining data transformation workflows using dbt or a similar tool, with expertise in model design, testing, documentation, environment management, deployment automation, and enforcing version control and development best practices.
  
• Demonstrated expertise working with complex datasets and advanced SQL, including multi-level CTEs, window functions, and recursive queries, with an emphasis on performance and readability.
  
• Experience with BI platforms such as Heap, Sigma Computing, or similar technologies (e.g., Tableau, Looker, or QuickSight), and how they interact with warehouse models.
  
• Strong knowledge of BI and analytical concepts, including regressions, recursion, sliding window functions, financial metrics, marketing funnel metrics, and logistics and fulfillment analytics.
  
• Experience building and maintaining processes that support data transformation, data structures, metadata management, dependency handling, and workload optimization in a modern ELT/warehouse environment.
  
• Proven ability to lead and coordinate cross-functional initiatives, including partnering with Software Engineers to refine schemas and queries, conducting interviews, and performing analyses to develop business cases for projects and improvements.
  
• Experience delivering training sessions and technical enablement for internal and external stakeholders, especially around data models, schemas, and query best practices during system and process rollouts.
  
• Excellent communication and collaboration skills, with the ability to translate complex technical concepts (e.g., query plans, indexing/clustering trade-offs, modeling decisions) for non-technical audiences.
  
• Demonstrated leadership and mentoring abilities, fostering technical excellence and knowledge sharing across data and engineering teams, particularly in areas of semantic modeling, SQL craftsmanship, and performance optimization.

Perks and Benefits

• Medicliam
• Annual Paid holidays
• Gratuity
• Provident Fund 
  And much, much more!

Interested in learning more?  We look forward to hearing from you soon.

Impact In This Role

At Fictiv, we enable product innovators to create. Our platform accelerates product creation, allowing our customers to push technological boundaries – from self-driving cars to low-cost water purification systems.

We're looking for a Senior Integration Engineer to connect our SaaS applications using the latest integration technology and support team members in their day-to-day technical as well as career development needs. You will learn how the entire business operates and use your expertise to drive operational efficiency and enable sales growth. As a Senior Integration Engineer, you will set the example in best practices and nurture a culture of thriving. 

Areas of Responsibility (Job Description)

• Develop integrations between enterprise SaaS system such as Salesforce, NetSuite, Marketo, and JIRA
• Understand business requirements and translate into reusable, scalable, and secure technical solutions
• Work closely with software development teams to document and deliver solutions in a timely manner
• Ensure robust solutions with Munit and end-to-end testing
• Measure and forecast vCore capacity requirements for new and existing integrations as data volume scales
• Provide meaningful expertise on technical design patterns and business processes
• Provide technical direction and engineering leadership for a team of engineers
• Contribute to the design and development of new products and features
• Ensure that engineering standards are followed
• Maintain product quality
• Drive operational excellence, and help monitor and help remediate issues in production

Desired Traits, Qualifications, Education and Experience Equivalency

• Mulesoft Certified Developer & Developer II - Required
• Mulesoft Certified Platform Architect - Level 1 - Desired but not required
• 7-9 years of hands-on experience developing end-to-end API integrations with Mulesoft, with at least 2 years in a leadership role
• Deep understanding of Mulesoft API-led connectivity, integration best practices and engineering principles. 
• Familiarity with CRM, ERP, and Finance systems such as Salesforce and Netsuite
• Strong understanding of relational databases and fluency with SQL
• Desire and ability to mentor and guide other engineers
• Strong technical and problem-solving skills
• Excellent communication and interpersonal skills

What’s in it for you?

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career
At Fictiv, you'll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact In This Role

Excellent problem solving, decision-making and critical thinking skills.
Collaborative, a team player.
Excellent verbal and written communication skills.
Exhibits initiative, integrity and empathy.
Enjoy working with a diverse group of people in multiple regions.
Comfortable not knowing answers, but resourceful and able to resolve issues.
Self-starter; comfortable with ambiguity, asking questions and constantly learning.
Customer service mentality; advocates for another person's point of view.
Methodical and thorough in written documentation and communication.
Culture oriented; wants to work with people rather than in isolation.

You will report to the Director of IT Engineering

What You’ll Be Doing

• Interface with Business Analysts and Stakeholders to understand & clarify requirements
• Develop technical design for solutions Development
  
• Implement high quality, scalable solutions following best practices, including configuration and code.
  
• Deploy solutions and code using automated deployment tools
  
• Take ownership of technical deliverables, ensure that quality work is completed, fully tested, delivered on time.
  
• Conduct code reviews, optimization, and refactoring to minimize technical debt within Salesforce implementations.
  
• Collaborate with cross-functional teams to integrate Salesforce with other systems and platforms, ensuring seamless data flow and system interoperability.
  
• Identify opportunities for process improvements, mentor and support other developers/team members as needed.
  
• Stay updated on new Salesforce features and functionalities and provide recommendations for process improvements.

Desired Traits

• 5-6 years of experience in Salesforce development
  
• Proven experience in developing Salesforce solutions with a deep understanding of Apex, Visualforce, Lightning Web Components, and Salesforce APIs.
  
• Have worked in Salesforce CPQ, Sales/Manufacturing Cloud, Case Management
  
• Experienced in designing and implementing custom solutions that align with business needs.
  
• Strong knowledge of Salesforce data modeling, reporting, and database design.
  
• Demonstrated experience in building and maintaining integrations between Salesforce and external applications.
  
• Strong unit testing, functional testing and debugging skills
  
• Strong understanding of best practices
  
• Active Salesforce Certifications are desirable.
  
• Experience in Mulesoft is a plus
  
• Excellent communication skills and the ability to translate complex technical requirements into actionable solutions.

About the Team

The Financial Modeling Team is a part of the Customer & Product Support (C&PS) department which sits at the intersection of sales, customer success and technical support. The Financial Modeling team is comprised of finance professionals with prior experience in investment banking, equity research, and holds at least one of the following qualifications: Chartered Financial Analyst (CFA), Certified Financial Planner (CFP) or Certified Management Accountants (CMA), Financial Risk Manager (FRM). The team aims to understand our users' financial data needs to provide solutions that enhance M&A and quantitative research workflows.

The Financial Modeling team provides expert services for our analytical tools so that we can provide customers with a tailored experience when using our products. This seasoned team of investment professionals specializes in onboarding and customer adoption for our Excel add-ins, by developing, converting and validating financial models and library templates. 

About the Role

We are looking to hire an Analyst, Financial Modeling to join the growing Financial Modeling team at AlphaSense. This role marries the technical knowledge of our solution with a deep understanding of our users, across all of the segments and business units that we work with, to realize maximum value from the platform. The team is heavily relied upon to contribute excellent customer service by building financial models, which ultimately maximizes prospect and customer health. In order to learn our business and customer inside and out, this team helps build bespoke client model requests and maintain the template library using the excel add-ins tool. This role spearheads usage and engagement and partners with our product management and engineering teams in determining future product developments that will resonate with the market. 

Customer and Product Support is an excellent launching off point to accelerate your personal growth and career at AlphaSense. The role offers cross-functional exposure across our business, consequently providing you with great exposure to the different areas you may want to develop your career in, as you grow with us.

Who You Are

Basic Requirements

• Post graduate degree in Finance, Accounting or similar. Professional qualification including Chartered Financial Analyst (CFA), FRM.

• An intelligent, articulate, consultative and confident professional with 1-3 years of client-facing experience.

• Have deep and proven expertise in finance and experience building financial models in excel with the ability to interpret financial data and conduct analysis.

• Knowledge of basic accounting concepts and a solid understanding of financial analysis terminology and best practices, such as DCF and financial statements.

• A keen eye for detail and an ability to sift through large data sets to extract meaningful information.

• Excellent time management skills, including the ability to work under pressure to meet tight deadlines.

• You enjoy being part of an entrepreneurial team and work diligently to help others when needed.

• Possess a customer-obsessed mindset and enjoy working through complex problems to find solutions.

• Strong communicator with the innate ability to distill and explain complex issues in simple terms.

• Advanced user of Microsoft Excel, PowerPoint and other Microsoft Office suite products.

• Strong analytical and quantitative skills.

• Effective communication and presentation abilities.

Preferred Requirements

• Experience working using CapIQ, Bloomberg or similar Excel add-ins

• Knowledge of VBA

• Ability to handle ambiguity, proactively identify challenges and present solutions 

• Have an interest in AI, technology and software applications

What You’ll Do

• Deliver a world-class customer experience.

  • Model Buildout: Work on custom model building for all the customers globally to ensure we deliver best in class customer experience. 

  • Model Accuracy: Ensure financial models are accurate, error-free, and reflect the business’s operational complexities.

  • Collaboration: Work closely with cross-functional internal teams to help clients maximize the value from our product offerings.

  • Documentation: Maintain comprehensive documentation of assumptions, methodologies, and formulas used in models.

  • Quality Assurance: Perform rigorous testing to validate model outputs and verify formula integrity.

  • Adaptability: Modify models to accommodate changing business circumstances, regulatory changes, or new data.

  • Problem-Solving: Address complex financial challenges by creating innovative solutions within the modeling framework.

  • Use Excel to produce high-quality models and reports for clients using AlphaSense add-in.

  • Create and present easy-to-understand models for clients

  • Deliver on predefined team targets including delivering outcomes with high quality and excellence.

  • Partner with internal teams to help clients maximize the value from AlphaSense product offerings.

• Be an expert on our product and continuously build your knowledge.

  • Be an expert on the AlphaSense product by proactively learning, staying up-to-date on new features and filling any gaps in your knowledge

  • Identify areas to improve content and contribute to creating and updating knowledge base articles, tutorials, and other support documentation based on their expertise.

  • Innovation: Work with product teams on new enhancements ideas/features for the template library.

  • Assist with special projects as assigned.

About the Team

The Financial Modeling Team is a part of the Customer & Product Support (C&PS) department which sits at the intersection of sales, customer success and technical support. The Financial Modeling team is comprised of finance professionals with prior experience in investment banking, equity research, and holds at least one of the following qualifications: Chartered Financial Analyst (CFA), Certified Financial Planner (CFP) or Certified Management Accountants (CMA), Financial Risk Manager (FRM). The team aims to understand our users' financial data needs to provide solutions that enhance M&A and quantitative research workflows.

The Financial Modeling team provides expert services for our analytical tools so that we can provide customers with a tailored experience when using our products. This seasoned team of investment professionals specializes in onboarding and customer adoption for our Excel add-ins, by developing, converting and validating financial models and library templates. 

About the Role

We are looking to hire an Analyst, Financial Modeling to join the growing Financial Modeling team at AlphaSense. This role marries the technical knowledge of our solution with a deep understanding of our users, across all of the segments and business units that we work with, to realize maximum value from the platform. The team is heavily relied upon to contribute excellent customer service by building financial models, which ultimately maximizes prospect and customer health. In order to learn our business and customer inside and out, this team helps build bespoke client model requests and maintain the template library using the excel add-ins tool. This role spearheads usage and engagement and partners with our product management and engineering teams in determining future product developments that will resonate with the market. 

Customer and Product Support is an excellent launching off point to accelerate your personal growth and career at AlphaSense. The role offers cross-functional exposure across our business, consequently providing you with great exposure to the different areas you may want to develop your career in, as you grow with us.

Who You Are

Basic Requirements

• Post graduate degree in Finance, Accounting or similar. Professional qualification including Chartered Financial Analyst (CFA), FRM.

• An intelligent, articulate, consultative and confident professional with 1-3 years of client-facing experience.

• Have deep and proven expertise in finance and experience building financial models in excel with the ability to interpret financial data and conduct analysis.

• Knowledge of basic accounting concepts and a solid understanding of financial analysis terminology and best practices, such as DCF and financial statements.

• A keen eye for detail and an ability to sift through large data sets to extract meaningful information.

• Excellent time management skills, including the ability to work under pressure to meet tight deadlines.

• You enjoy being part of an entrepreneurial team and work diligently to help others when needed.

• Possess a customer-obsessed mindset and enjoy working through complex problems to find solutions.

• Strong communicator with the innate ability to distill and explain complex issues in simple terms.

• Advanced user of Microsoft Excel, PowerPoint and other Microsoft Office suite products.

• Strong analytical and quantitative skills.

• Effective communication and presentation abilities.

Preferred Requirements

• Experience working using CapIQ, Bloomberg or similar Excel add-ins

• Knowledge of VBA

• Ability to handle ambiguity, proactively identify challenges and present solutions 

• Have an interest in AI, technology and software applications

What You’ll Do

• Deliver a world-class customer experience.

  • Model Buildout: Work on custom model building for all the customers globally to ensure we deliver best in class customer experience. 

  • Model Accuracy: Ensure financial models are accurate, error-free, and reflect the business’s operational complexities.

  • Collaboration: Work closely with cross-functional internal teams to help clients maximize the value from our product offerings.

  • Documentation: Maintain comprehensive documentation of assumptions, methodologies, and formulas used in models.

  • Quality Assurance: Perform rigorous testing to validate model outputs and verify formula integrity.

  • Adaptability: Modify models to accommodate changing business circumstances, regulatory changes, or new data.

  • Problem-Solving: Address complex financial challenges by creating innovative solutions within the modeling framework.

  • Use Excel to produce high-quality models and reports for clients using AlphaSense add-in.

  • Create and present easy-to-understand models for clients

  • Deliver on predefined team targets including delivering outcomes with high quality and excellence.

  • Partner with internal teams to help clients maximize the value from AlphaSense product offerings.

• Be an expert on our product and continuously build your knowledge.

  • Be an expert on the AlphaSense product by proactively learning, staying up-to-date on new features and filling any gaps in your knowledge

  • Identify areas to improve content and contribute to creating and updating knowledge base articles, tutorials, and other support documentation based on their expertise.

  • Innovation: Work with product teams on new enhancements ideas/features for the template library.

  • Assist with special projects as assigned.

About the Team

The Financial Modeling Team is a part of the Customer & Product Support (C&PS) department which sits at the intersection of sales, customer success and technical support. The Financial Modeling team is comprised of finance professionals with prior experience in investment banking, equity research, and holds at least one of the following qualifications: Chartered Financial Analyst (CFA), Certified Financial Planner (CFP) or Certified Management Accountants (CMA), Financial Risk Manager (FRM). The team aims to understand our users' financial data needs to provide solutions that enhance M&A and quantitative research workflows.

The Financial Modeling team provides expert services for our analytical tools so that we can provide customers with a tailored experience when using our products. This seasoned team of investment professionals specializes in onboarding and customer adoption for our Excel add-ins, by developing, converting and validating financial models and library templates. 

About the Role

We are looking to hire an Analyst, Financial Modeling to join the growing Financial Modeling team at AlphaSense. This role marries the technical knowledge of our solution with a deep understanding of our users, across all of the segments and business units that we work with, to realize maximum value from the platform. The team is heavily relied upon to contribute excellent customer service by building financial models, which ultimately maximizes prospect and customer health. In order to learn our business and customer inside and out, this team helps build bespoke client model requests and maintain the template library using the excel add-ins tool. This role spearheads usage and engagement and partners with our product management and engineering teams in determining future product developments that will resonate with the market. 

Customer and Product Support is an excellent launching off point to accelerate your personal growth and career at AlphaSense. The role offers cross-functional exposure across our business, consequently providing you with great exposure to the different areas you may want to develop your career in, as you grow with us.

Who You Are

Basic Requirements

• Post graduate degree in Finance, Accounting or similar. Professional qualification including Chartered Financial Analyst (CFA), FRM.

• An intelligent, articulate, consultative and confident professional with 1-3 years of client-facing experience.

• Have deep and proven expertise in finance and experience building financial models in excel with the ability to interpret financial data and conduct analysis.

• Knowledge of basic accounting concepts and a solid understanding of financial analysis terminology and best practices, such as DCF and financial statements.

• A keen eye for detail and an ability to sift through large data sets to extract meaningful information.

• Excellent time management skills, including the ability to work under pressure to meet tight deadlines.

• You enjoy being part of an entrepreneurial team and work diligently to help others when needed.

• Possess a customer-obsessed mindset and enjoy working through complex problems to find solutions.

• Strong communicator with the innate ability to distill and explain complex issues in simple terms.

• Advanced user of Microsoft Excel, PowerPoint and other Microsoft Office suite products.

• Strong analytical and quantitative skills.

• Effective communication and presentation abilities.

Preferred Requirements

• Experience working using CapIQ, Bloomberg or similar Excel add-ins

• Knowledge of VBA

• Ability to handle ambiguity, proactively identify challenges and present solutions 

• Have an interest in AI, technology and software applications

What You’ll Do

• Deliver a world-class customer experience.

  • Model Buildout: Work on custom model building for all the customers globally to ensure we deliver best in class customer experience. 

  • Model Accuracy: Ensure financial models are accurate, error-free, and reflect the business’s operational complexities.

  • Collaboration: Work closely with cross-functional internal teams to help clients maximize the value from our product offerings.

  • Documentation: Maintain comprehensive documentation of assumptions, methodologies, and formulas used in models.

  • Quality Assurance: Perform rigorous testing to validate model outputs and verify formula integrity.

  • Adaptability: Modify models to accommodate changing business circumstances, regulatory changes, or new data.

  • Problem-Solving: Address complex financial challenges by creating innovative solutions within the modeling framework.

  • Use Excel to produce high-quality models and reports for clients using AlphaSense add-in.

  • Create and present easy-to-understand models for clients

  • Deliver on predefined team targets including delivering outcomes with high quality and excellence.

  • Partner with internal teams to help clients maximize the value from AlphaSense product offerings.

• Be an expert on our product and continuously build your knowledge.

  • Be an expert on the AlphaSense product by proactively learning, staying up-to-date on new features and filling any gaps in your knowledge

  • Identify areas to improve content and contribute to creating and updating knowledge base articles, tutorials, and other support documentation based on their expertise.

  • Innovation: Work with product teams on new enhancements ideas/features for the template library.

  • Assist with special projects as assigned.

About the Team

The Financial Modeling Team is a part of the Customer & Product Support (C&PS) department which sits at the intersection of sales, customer success and technical support. The Financial Modeling team is comprised of finance professionals with prior experience in investment banking, equity research, and holds at least one of the following qualifications: Chartered Financial Analyst (CFA), Certified Financial Planner (CFP) or Certified Management Accountants (CMA), Financial Risk Manager (FRM). The team aims to understand our users' financial data needs to provide solutions that enhance M&A and quantitative research workflows.

The Financial Modeling team provides expert services for our analytical tools so that we can provide customers with a tailored experience when using our products. This seasoned team of investment professionals specializes in onboarding and customer adoption for our Excel add-ins, by developing, converting and validating financial models and library templates. 

About the Role

We are looking to hire an Analyst, Financial Modeling to join the growing Financial Modeling team at AlphaSense. This role marries the technical knowledge of our solution with a deep understanding of our users, across all of the segments and business units that we work with, to realize maximum value from the platform. The team is heavily relied upon to contribute excellent customer service by building financial models, which ultimately maximizes prospect and customer health. In order to learn our business and customer inside and out, this team helps build bespoke client model requests and maintain the template library using the excel add-ins tool. This role spearheads usage and engagement and partners with our product management and engineering teams in determining future product developments that will resonate with the market. 

Customer and Product Support is an excellent launching off point to accelerate your personal growth and career at AlphaSense. The role offers cross-functional exposure across our business, consequently providing you with great exposure to the different areas you may want to develop your career in, as you grow with us.

Who You Are

Basic Requirements

• Post graduate degree in Finance, Accounting or similar. Professional qualification including Chartered Financial Analyst (CFA), FRM.

• An intelligent, articulate, consultative and confident professional with 1-3 years of client-facing experience.

• Have deep and proven expertise in finance and experience building financial models in excel with the ability to interpret financial data and conduct analysis.

• Knowledge of basic accounting concepts and a solid understanding of financial analysis terminology and best practices, such as DCF and financial statements.

• A keen eye for detail and an ability to sift through large data sets to extract meaningful information.

• Excellent time management skills, including the ability to work under pressure to meet tight deadlines.

• You enjoy being part of an entrepreneurial team and work diligently to help others when needed.

• Possess a customer-obsessed mindset and enjoy working through complex problems to find solutions.

• Strong communicator with the innate ability to distill and explain complex issues in simple terms.

• Advanced user of Microsoft Excel, PowerPoint and other Microsoft Office suite products.

• Strong analytical and quantitative skills.

• Effective communication and presentation abilities.

Preferred Requirements

• Experience working using CapIQ, Bloomberg or similar Excel add-ins

• Knowledge of VBA

• Ability to handle ambiguity, proactively identify challenges and present solutions 

• Have an interest in AI, technology and software applications

What You’ll Do

• Deliver a world-class customer experience.

  • Model Buildout: Work on custom model building for all the customers globally to ensure we deliver best in class customer experience. 

  • Model Accuracy: Ensure financial models are accurate, error-free, and reflect the business’s operational complexities.

  • Collaboration: Work closely with cross-functional internal teams to help clients maximize the value from our product offerings.

  • Documentation: Maintain comprehensive documentation of assumptions, methodologies, and formulas used in models.

  • Quality Assurance: Perform rigorous testing to validate model outputs and verify formula integrity.

  • Adaptability: Modify models to accommodate changing business circumstances, regulatory changes, or new data.

  • Problem-Solving: Address complex financial challenges by creating innovative solutions within the modeling framework.

  • Use Excel to produce high-quality models and reports for clients using AlphaSense add-in.

  • Create and present easy-to-understand models for clients

  • Deliver on predefined team targets including delivering outcomes with high quality and excellence.

  • Partner with internal teams to help clients maximize the value from AlphaSense product offerings.

• Be an expert on our product and continuously build your knowledge.

  • Be an expert on the AlphaSense product by proactively learning, staying up-to-date on new features and filling any gaps in your knowledge

  • Identify areas to improve content and contribute to creating and updating knowledge base articles, tutorials, and other support documentation based on their expertise.

  • Innovation: Work with product teams on new enhancements ideas/features for the template library.

  • Assist with special projects as assigned.

About the Team

The Financial Modeling Team is a part of the Customer & Product Support (C&PS) department which sits at the intersection of sales, customer success and technical support. The Financial Modeling team is comprised of finance professionals with prior experience in investment banking, equity research, and holds at least one of the following qualifications: Chartered Financial Analyst (CFA), Certified Financial Planner (CFP) or Certified Management Accountants (CMA), Financial Risk Manager (FRM). The team aims to understand our users' financial data needs to provide solutions that enhance M&A and quantitative research workflows.

The Financial Modeling team provides expert services for our analytical tools so that we can provide customers with a tailored experience when using our products. This seasoned team of investment professionals specializes in onboarding and customer adoption for our Excel add-ins, by developing, converting and validating financial models and library templates. 

About the Role

We are looking to hire an Analyst, Financial Modeling to join the growing Financial Modeling team at AlphaSense. This role marries the technical knowledge of our solution with a deep understanding of our users, across all of the segments and business units that we work with, to realize maximum value from the platform. The team is heavily relied upon to contribute excellent customer service by building financial models, which ultimately maximizes prospect and customer health. In order to learn our business and customer inside and out, this team helps build bespoke client model requests and maintain the template library using the excel add-ins tool. This role spearheads usage and engagement and partners with our product management and engineering teams in determining future product developments that will resonate with the market. 

Customer and Product Support is an excellent launching off point to accelerate your personal growth and career at AlphaSense. The role offers cross-functional exposure across our business, consequently providing you with great exposure to the different areas you may want to develop your career in, as you grow with us.

Who You Are

Basic Requirements

• Post graduate degree in Finance, Accounting or similar. Professional qualification including Chartered Financial Analyst (CFA), FRM.

• An intelligent, articulate, consultative and confident professional with 1-3 years of client-facing experience.

• Have deep and proven expertise in finance and experience building financial models in excel with the ability to interpret financial data and conduct analysis.

• Knowledge of basic accounting concepts and a solid understanding of financial analysis terminology and best practices, such as DCF and financial statements.

• A keen eye for detail and an ability to sift through large data sets to extract meaningful information.

• Excellent time management skills, including the ability to work under pressure to meet tight deadlines.

• You enjoy being part of an entrepreneurial team and work diligently to help others when needed.

• Possess a customer-obsessed mindset and enjoy working through complex problems to find solutions.

• Strong communicator with the innate ability to distill and explain complex issues in simple terms.

• Advanced user of Microsoft Excel, PowerPoint and other Microsoft Office suite products.

• Strong analytical and quantitative skills.

• Effective communication and presentation abilities.

Preferred Requirements

• Experience working using CapIQ, Bloomberg or similar Excel add-ins

• Knowledge of VBA

• Ability to handle ambiguity, proactively identify challenges and present solutions 

• Have an interest in AI, technology and software applications

What You’ll Do

• Deliver a world-class customer experience.

  • Model Buildout: Work on custom model building for all the customers globally to ensure we deliver best in class customer experience. 

  • Model Accuracy: Ensure financial models are accurate, error-free, and reflect the business’s operational complexities.

  • Collaboration: Work closely with cross-functional internal teams to help clients maximize the value from our product offerings.

  • Documentation: Maintain comprehensive documentation of assumptions, methodologies, and formulas used in models.

  • Quality Assurance: Perform rigorous testing to validate model outputs and verify formula integrity.

  • Adaptability: Modify models to accommodate changing business circumstances, regulatory changes, or new data.

  • Problem-Solving: Address complex financial challenges by creating innovative solutions within the modeling framework.

  • Use Excel to produce high-quality models and reports for clients using AlphaSense add-in.

  • Create and present easy-to-understand models for clients

  • Deliver on predefined team targets including delivering outcomes with high quality and excellence.

  • Partner with internal teams to help clients maximize the value from AlphaSense product offerings.

• Be an expert on our product and continuously build your knowledge.

  • Be an expert on the AlphaSense product by proactively learning, staying up-to-date on new features and filling any gaps in your knowledge

  • Identify areas to improve content and contribute to creating and updating knowledge base articles, tutorials, and other support documentation based on their expertise.

  • Innovation: Work with product teams on new enhancements ideas/features for the template library.

  • Assist with special projects as assigned.

About the Team

The Financial Modeling Team is a part of the Customer & Product Support (C&PS) department which sits at the intersection of sales, customer success and technical support. The Financial Modeling team is comprised of finance professionals with prior experience in investment banking, equity research, and holds at least one of the following qualifications: Chartered Financial Analyst (CFA), Certified Financial Planner (CFP) or Certified Management Accountants (CMA), Financial Risk Manager (FRM). The team aims to understand our users' financial data needs to provide solutions that enhance M&A and quantitative research workflows.

The Financial Modeling team provides expert services for our analytical tools so that we can provide customers with a tailored experience when using our products. This seasoned team of investment professionals specializes in onboarding and customer adoption for our Excel add-ins, by developing, converting and validating financial models and library templates. 

About the Role

We are looking to hire an Analyst, Financial Modeling to join the growing Financial Modeling team at AlphaSense. This role marries the technical knowledge of our solution with a deep understanding of our users, across all of the segments and business units that we work with, to realize maximum value from the platform. The team is heavily relied upon to contribute excellent customer service by building financial models, which ultimately maximizes prospect and customer health. In order to learn our business and customer inside and out, this team helps build bespoke client model requests and maintain the template library using the excel add-ins tool. This role spearheads usage and engagement and partners with our product management and engineering teams in determining future product developments that will resonate with the market. 

Customer and Product Support is an excellent launching off point to accelerate your personal growth and career at AlphaSense. The role offers cross-functional exposure across our business, consequently providing you with great exposure to the different areas you may want to develop your career in, as you grow with us.

Who You Are

Basic Requirements

• Post graduate degree in Finance, Accounting or similar. Professional qualification including Chartered Financial Analyst (CFA), FRM.

• An intelligent, articulate, consultative and confident professional with 1-3 years of client-facing experience.

• Have deep and proven expertise in finance and experience building financial models in excel with the ability to interpret financial data and conduct analysis.

• Knowledge of basic accounting concepts and a solid understanding of financial analysis terminology and best practices, such as DCF and financial statements.

• A keen eye for detail and an ability to sift through large data sets to extract meaningful information.

• Excellent time management skills, including the ability to work under pressure to meet tight deadlines.

• You enjoy being part of an entrepreneurial team and work diligently to help others when needed.

• Possess a customer-obsessed mindset and enjoy working through complex problems to find solutions.

• Strong communicator with the innate ability to distill and explain complex issues in simple terms.

• Advanced user of Microsoft Excel, PowerPoint and other Microsoft Office suite products.

• Strong analytical and quantitative skills.

• Effective communication and presentation abilities.

Preferred Requirements

• Experience working using CapIQ, Bloomberg or similar Excel add-ins

• Knowledge of VBA

• Ability to handle ambiguity, proactively identify challenges and present solutions 

• Have an interest in AI, technology and software applications

What You’ll Do

• Deliver a world-class customer experience.

  • Model Buildout: Work on custom model building for all the customers globally to ensure we deliver best in class customer experience. 

  • Model Accuracy: Ensure financial models are accurate, error-free, and reflect the business’s operational complexities.

  • Collaboration: Work closely with cross-functional internal teams to help clients maximize the value from our product offerings.

  • Documentation: Maintain comprehensive documentation of assumptions, methodologies, and formulas used in models.

  • Quality Assurance: Perform rigorous testing to validate model outputs and verify formula integrity.

  • Adaptability: Modify models to accommodate changing business circumstances, regulatory changes, or new data.

  • Problem-Solving: Address complex financial challenges by creating innovative solutions within the modeling framework.

  • Use Excel to produce high-quality models and reports for clients using AlphaSense add-in.

  • Create and present easy-to-understand models for clients

  • Deliver on predefined team targets including delivering outcomes with high quality and excellence.

  • Partner with internal teams to help clients maximize the value from AlphaSense product offerings.

• Be an expert on our product and continuously build your knowledge.

  • Be an expert on the AlphaSense product by proactively learning, staying up-to-date on new features and filling any gaps in your knowledge

  • Identify areas to improve content and contribute to creating and updating knowledge base articles, tutorials, and other support documentation based on their expertise.

  • Innovation: Work with product teams on new enhancements ideas/features for the template library.

  • Assist with special projects as assigned.

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.

Value Engineer - Pune

The Role

We are looking for a Value Engineer to help scale Showpad’s first formal Value Engineering function. Your mission is to work in partnership with stakeholders listed able to prove the tangible ROI of our software for as many customers as possible. You will be responsible for distilling complex data into compelling financial narratives that demonstrate how Showpad drives revenue, saves time, and develops talent for our 1,400+ global customers.

Reporting to the VP of Revenue Enablement, you will be the bridge between raw data and executive-level business cases, helping our account teams turn customer performance into a quantitative success story.

Key Responsibilities

• Master the Showpad Value Realization Methodology: A framework Showpad GTM is enabled on to empower our ICs to diagnose customer maturity, identify success metrics, and build plans to get high value accounts towards ROI. This methodology will be foundational for the success of the Value Engineering
• Evolve the Value Engineering Blueprint: In partnership with the Revenue Enablement key stakeholders, you will help drive the strategy to scale Showpad’s global Value Engineering function from the ground up by being the analytical and operational backbone to the function.
• Manage the Value Assessment request funnel: In partnership with key Enablement stakeholders, manage the queue of requests for Value Engineering support, based on specific customer and account requirements/qualification. Produce each Value Assessment in accordance with the SLAs committed to Showpad GTM team members.
• Architect ROI Narratives: Translate Showpad platform data and customer-specific performance metrics into high-impact ROI narratives that prove the value of enablement and deliver them in a customer facing capacity as needed
• Operationalize Scalability: Work cross functionally with Enablement and Product Marketing to maintain self-service ROI calculators and value templates
• Full-Lifecycle Value Realization: Support the customer journey by conducting "Value Realization" assessments on an ongoing basis (vs one time events) for specific accounts to ensure customers are hitting KPIs well before the renewal
• Data Translation: Decipher complex, large-scale data sets and transform them into clear, visual, and persuasive narratives for both internal and external
• Strategic Seller Support: Work directly with Account Executives and Customer Success Managers on the value assessment plan and advise Showpad account teams on delivering results to C-suite audiences.
• Technical Subject Matter Expert: Act as a customer-facing expert to answer deep-dive technical questions regarding value assessment methodology and data integrity.
• Product Feedback Loop: Serve as a strategic partner to Product and Engineering, providing data-backed insights on which features are driving the highest measurable Advocate for insights and dashboards that you believe should be in the Product as a result of these findings.
• Fuel Advocacy: Collaborate with Customer Marketing to turn data-driven findings into powerful impact-based case studies and testimonials that fuel the advocacy funnel.

Qualifications

• Data Expertise: Deep background in data You are comfortable diving into large, raw data sets and distilling them into actionable business insights.
• The Track Record: Minimum 2+ years of relevant experience in Value Engineering, GTM Strategy, or a similar data-heavy revenue role.
• The Tech Stack: Proficiency with AWS ǪuickSight, Snowflake, and advanced Excel.
• Enablement Fluency: Familiarity with the Enablement landscape, Sales Tech, or Learning Management Systems (LMS).
• Executive Presence: Ability to remain composed and authoritative when defending complex financial models and ROI claims under scrutiny from executive stakeholders.
• The "Builder" Spirit: A proven track record of designing scalable solutions and a comfort with the ambiguity of building a department from the ground up.
• Collaborator Extraordinaire: This role is highly cross functional and will not own the strategy for the Value engineering function We are looking for a team player who can partner with key stakeholders to scale the Value Engineering function.
• Customer Centricity: A passion for proving Showpad ROI as well as measurable business results coming from Sales, Enablement and Marketing for our customers. Make our customers look great.

Position Summary

This role involves leadership and management and is a key contributor to the SEM and social media advertising efforts, requiring a deep understanding of digital marketing strategies and their applications, and people management. You will be responsible for leading a team of Associates and Sr. Associates focusing on campaign execution, reporting and optimization, while also mentoring and supporting junior team members in learning and improving digital marketing capabilities and career growth.

Key Responsibilities

• People Management.
• Stakeholder & Client Management. 
• Account Management.
• Account audit for several accounts. 
• Coach and train junior members.
• Review and sign-off of team output – activation setup, plans, optimizations, reports.
• Continuously test and optimize campaigns for better performance (e.g., A/B testing, audience segmentation).
• Utilize data-driven insights to optimize campaign performance and enhance customer engagement throughout the sales funnel to grow sales pipeline and revenue closure.
• Formulate Digital strategy for client’s business and ensure that recommendations and decisions are consistent with client’s objectives and strategies.
• Thought leadership in Digital new age / landscape, tools & tech know-how. 
• Lead and collaborate in coaching, managing, and educating team members.
• Oversee escalation management. 
• Attend client meetings, as needed 

Desired Skills & Experience

• Graduate in any field with 5-10 years of experience in campaign creation and knowledge in various digital media buying platforms
• Must be in Leadership role with atleast a year's experience in managing small teams of size 5+.
• Profound knowledge across multiple search/social platforms - able to understand how the platform works as well as the core and optimization concepts with the ability to apply and communicate learnings effectively and efficiently. 
• Able to execute digital campaigns and report on the learnings 
• Knowledge of KPIs and formulation for cost ranges 
• Strategic planning across multiple digital channels 
• Strong communications and interpersonal skills 
• Detail-oriented, highly organized with the ability to multi-task 
• Creativity and a keen eye for detail 
• Advanced knowledge of Excel and PowerPointBe passionate about advertising, relentless in your efforts, focused in achieving results. 
• Embrace challenges and inspire new ways of thinking. 

We See You  

At IPG Mediabrands, we are unified behind a commitment to fostering a culture of inclusion and belonging. Together, we shine through a set of shared values and behaviors. We take pride in our responsibility to our clients, communities, and to each other. We embrace differences and recognize the unique value that each of us brings to our community.  

We encourage you to apply, as unique backgrounds, perspectives, and lived experiences are welcomed.   

We See You at IPG Mediabrands. 

About IPG Mediabrands 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com.  

Business Overview 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com. 

Position Summary

In this role, you will work closely with members of the Programmatic Team to successfully execute, manage, report and optimize programmatic campaigns on multiple platforms across the global Mediabrands.

Responsibilities

Campaign Implementation

• Manage the end-to-end process from brief through to set up, tagging and optimization to ensure report metrics are fully captured 
• Strategize and execute campaigns on our platform and ensure optimal delivery and performance 
• Analyze campaign data to develop insights and strategies for campaign optimization 
• Provide in-depth campaign insights and optimization recommendations for campaign improvement 
• Provide guidance to junior members of the team 
• Be creative: develop and share test and learn campaign optimization strategies to drive learnings and better campaign performance 
• Become a trusted advisor and expert within the programmatic trading field 
• Take an active role in developing broader programmatic strategic recommendations and best practices 
• Get the programmatic newest develop trends in global and local market to build new product and service package for local business 
• Be responsible for the client service and campaign management/operation to achieve the successful programmatic campaign delivery within KPI 
• Maintain good relationship with the partners including Media partners, DSP, Data partner, AD verification 

Strategy 

• Provide recommendations to your Client Services team for use in brief responses. 
• Present industry updates and campaign optimizations to 
• Working with Senior Campaign Manager and Programmatic to execute tests within the DSPs. 
• Update the industry benchmarks according to the Media Plans received. 

Required Skills & Experience

• 8 years professional experience in a related field with hands on end-to-end Programmatic ecosystem/campaign lifecycle and optimization experience along with Team handling capabilities
• Hands on experience and knowledge in programmatic trading • Deep understanding of DSPs/SSPs, RTB, ad exchanges, DMPs, audience targeting, Ad Verification Partners 
• Experience in campaign implementation, optimization and reporting, experience with response driven/demand generation campaigns 
• Understanding of the digital media ecosystem and technology including ad tagging and site analytics 
• Knowledge and passion for overall digital marketing crafts: digital display, digital branding, digital direct response, SEM, video & mobile 
• Must be able to work in a fast-paced environment - harvest vast amounts of information, news, data, and research and distil the most important/relevant information for your agency team and their clients 
• Well organized and capable of managing your time effectively 
• A good communicator with great listening and interpersonal skills 
• Motivated by working in a fast-paced environment where you are constantly learning and will have a career path in talent acquisition

We See You  

At IPG Mediabrands, we are unified behind a commitment to fostering a culture of inclusion and belonging. Together, we shine through a set of shared values and behaviors. We take pride in our responsibility to our clients, communities, and to each other. We embrace differences and recognize the unique value that each of us brings to our community.  

We encourage you to apply, as unique backgrounds, perspectives, and lived experiences are welcomed.   

We See You at IPG Mediabrands. 

About IPG Mediabrands 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com.