What You'll Do

At HG Insights, we run one of the most data-rich go-to-market environments in B2B SaaS. We're looking for a Senior/Staff GTM automation engineer who will sit inside our Sales Engineering and Solutions team and build the tools, integrations, and AI-powered workflows that make our Sales Engineers, Solutions Engineers, and Enterprise CSMs dramatically more effective.

This is a force-multiplier role. You'll embed with revenue teams, understand their daily jobs to be done, and turn manual, repetitive work into fast, reliable automations—so our best people spend their time on the work only humans can do.

Core Responsibilities

• Workflow discovery: Shadow and interview Sales Engineers, Solutions Engineers, and Enterprise CSMs to map their day-to-day workflows and build a prioritized automation backlog ranked by impact and effort
• Sales Engineering tools: Build data-assembly tools that pull from HG's APIs, automate technical discovery prep, and generate proof-of-concept materials—reducing manual pre-call and post-call work for SEs
• Solutions Engineering tools: Automate the generation of technical scoping docs, integration-architecture diagrams, and solution briefs; maintain a reusable library of solution templates and sandbox configurations
• Enterprise CSM automations: Build automations for account health briefs, QBR summaries, risk-detection alerts, and personalized outreach workflows using data from Vitally, Salesforce, and Slack
• AI-powered workflow engineering: Design and deploy LLM-based workflows using Claude and the Claude Agent SDK—building agents, MCP server integrations, and agentic pipelines that operate across the GTM tool stack
• Platform ownership: Maintain and evolve the internal GTM automation stack; document every tool so teams can self-serve; instrument monitoring so failures surface quickly

What We're Looking For

Experience

• 3–7 years in a technical role—software engineering, solutions engineering, RevOps engineering, or a closely related field
• Demonstrated track record of building internal tools or automations that eliminated manual work for a GTM or customer-facing team
• Hands-on experience integrating with SaaS APIs (Salesforce, Slack, HubSpot, Vitally, or similar)

Technical skills

• Expert-level user of Claude Code—you use it daily, understand its agentic capabilities, and can build production workflows with it
• Proficiency in Python and/or JavaScript/TypeScript for scripting, API integration, and automation
• Working knowledge of MCP (Model Context Protocol) servers and LLM-based agent frameworks
• Comfort with workflow automation platforms such as n8n, Zapier, or Make
• Familiarity with the GTM tool ecosystem: Salesforce, Vitally, Slack, Gong, Granola, Outreach, or equivalent

How you work

• Business mindset: You understand that tools are only valuable if people use them—you design for adoption, not just functionality
• Discovery-first: You run structured discovery sessions with non-technical stakeholders and translate fuzzy pain points into scoped, buildable solutions
• Ship fast, iterate often: You prefer a useful tool in users' hands over a perfect tool on a roadmap
• High reliability bar: If an automation breaks, the team loses trust—you build with monitoring and graceful failure in mind

Nice to have

• Experience working in or embedded with a Sales Engineering, Solutions Consulting, or Customer Success team
• Familiarity with HG Insights products and use cases—technology intelligence, installed-base data, or intent signals
• Prior experience building Claude-powered agents or working with the Anthropic API at a production level

Why HG Insights

We're the global leader in technology intelligence—the data that helps the world's best B2B sales and marketing teams find and close the right customers. This role offers an uncommon combination of technical depth and business impact: you'll define your own roadmap, work directly with the teams you're serving, and see your work reflected in real revenue outcomes.

We offer competitive compensation, equity, and a team that genuinely invests in your growth as an engineer and as a GTM thinker.

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

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.

About HG Insights

HG Insights delivers AI-powered Revenue Growth Intelligence solutions that modernize GTM strategy and activation, enabling B2B companies to prioritize, target, engage, and convert the best opportunities faster. Our platform’s analytics and agents turn deep market, account, technology, spend, intent, and customer data into actionable insights and automated workflows that accelerate pipeline and enhance predictability. That’s why 95% of Fortune 1000 B2B tech companies and all major hyperscalers rely on HG Insights to grow revenue, boost efficiency, and improve retention.

Role Overview

We are looking for a Marketing Operations Specialist to own and optimize end-to-end campaign execution across our marketing tech stack, with a strong focus on Marketo and Salesforce. This role sits at the intersection of marketing, sales, and RevOps, ensuring campaigns are executed accurately, data flows seamlessly, and reporting reflects true performance.

You will be responsible for managing campaign builds, ensuring data integrity, enabling scalable processes, and delivering actionable insights through reporting.

Key Responsibilities

Campaign Execution & Setup

• Build and execute marketing campaigns in MAP (emails, nurtures, landing pages, forms, programs)
• Manage end-to-end campaign lifecycle from setup to launch and QA
• Ensure correct program structures, naming conventions, and tagging for scalability
• Coordinate with stakeholders to translate campaign requirements into execution

CRM & System Management

• Manage sync and alignment between Marketo and Salesforce
• Set up and maintain Salesforce campaigns, program statuses, and attribution models
• Ensure lead lifecycle stages and campaign flows are correctly implemented

Data Management & Governance

• Maintain data hygiene, deduplication, and standardization processes
• Manage lead routing, scoring, and segmentation logic
• Ensure compliance with data policies and best practices

Reporting & Analytics

• Build and maintain campaign performance reports and dashboards
• Track key metrics such as MQLs, pipeline contribution, and conversion rates
• Align reporting with defined frameworks (Marketing Sourced vs Influenced, etc.)
• Identify gaps and recommend improvements based on data insights

Marketing Tech Stack Ownership

• Work across the broader martech ecosystem (e.g., enrichment tools, webinar platforms, analytics tools)
• Support integrations and troubleshoot system issues
• Continuously optimize processes to improve efficiency and scalability

Process Optimization & QA

• Establish and enforce QA processes for campaign execution
• Improve workflows to reduce manual effort and turnaround time
• Document processes and maintain operational playbooks

Required Skills & Experience

• 3–6+ years in Marketing Operations or related role
• Hands-on expertise in Marketo and Salesforce
• Strong understanding of lead lifecycle management, scoring, and routing
• Experience with campaign execution across email and digital channels
• Proficiency in reporting and dashboard creation
• Strong attention to detail and structured approach to execution

Preferred Skills

• Experience working in B2B SaaS or data-driven organizations
• Exposure to additional tools (ZoomInfo, 6sense, webinar platforms, etc.)
• Basic understanding of APIs, integrations, or data flows
• Bonus skill: SQL or advanced data handling

What Success Looks Like

• Accurate and timely campaign execution with minimal errors
• Clean, reliable data across MAP and CRM
• Clear visibility into marketing performance and pipeline impact
• Scalable processes that improve speed, QA, and operational efficiency

Why HG Insights

• Own end-to-end campaign execution with direct impact on pipeline and revenue
• Build expertise in martech and scalable marketing systems
• Collaborate cross-functionally to drive data-led GTM decisions
• Enjoy a holistic compensation package that rewards performance and potential, encompassing competitive salary, incentives (bonus and equity), comprehensive benefits, and career development.
• A “Plan, Do, Check, Act” environment that embraces remote work while empowering ingenuity, collaboration, ownership, and achievement.

Job Title: Senior Director, Customer Success & Solutions (Enterprise Segment) 

Department: Customer Experience 

Location: Remote US or India

HG Insights is the gold standard in Technographics. We give business decision-makers actionable intelligence on IT spend, technology installations, and contract timelines for millions of companies
worldwide. Customers like Microsoft, Google, and Amazon rely on our data to find their next best customer. We are a team built on precision, velocity, and genuine technical innovation — and we are looking for someone who wants to help us eat our own cooking.

Core Responsibilities (The Profile) We’re looking to attract a "Technical Business Leader" who excels in the following areas:

• Enterprise Gravitas & Governance: Demonstrate a track record of leading CSM & Solutions team for Global 2000 clients and navigating high-level organizational complexity. Establish AI powered GTM blueprints and best practices that allow enterprise customers to scale their HG implementations globally.
• The "CFO Whisperer" Skillset & ROI-Driven Solutioning: Guide your teams to effectively partner with C-suite stakeholders (CTO, CIO, CFO) to map business challenges to technical solutions, ensuring every architectural decision translates into a clear, phased ROI. You must have the ability to translate technical variables (like Data Orchestration or APIs) into tangible P&L impact (like Churn and Revenue).
• Modern Tech Fluency & GTM Automation Advisory: Apply deep expertise in how AI agents and data orchestration integrate into a scalable GTM engine. Drive the design of end-to-end enterprise GTM workflows, ensuring that HG solutions integrate seamlessly with existing CRMs, User Portals, and third-party Apps.
• The Force Multiplier & Proof of Value (PoV): Build a team of "consultative experts" rather than just managing a group of contributors. Direct the technical execution of PoVs, shifting the team's focus from "does it work?" to "how much value does this create for the business?".
• Financial Modeling & Cross-Functional Alignment: Foster collaboration between Sales, Solutions, and Customer Success to build "Business Value Assessments" that quantify the impact of architectural choices on the customer’s bottom line.

How to Measure Success

To clarify the bar for top-tier candidates, success in this role is defined by the following measurable outcomes:

• Retention & Growth: Drive the strategy to maintain 90%+ GRR and unlock 110%+ NRR via strategic expansion.
• Operational Velocity: Reduce Enterprise time-to-value and onboarding cycles by ~20% YoY through AI & process innovation.
• Predictability: Refine a health-scoring model with high accuracy (~90%) in predicting renewals.
• Executive Impact: Cement "Strategic Partner" status by leading high-impact Executive Business Reviews (EBRs) for 100% of our Tier-1 accounts.

What We’re Looking For

• Experience: 15+ years in technical leadership roles (Enterprise CSM, Solutions Architecture or System Integration), specifically working with Global 2000 companies.
• Business Mindset: You understand a P&L statement as well as you understand GTM workflow and org design, and you can effectively explain technical concepts like "Latency" in terms of business metrics like "Customer Churn".
• Technical Breadth: Deep knowledge of Platform, API, Agents, MCP, Data Orchestration, and Go-To-Market (GTM) methodologies.
• The "Consultant" Edge: Exceptional storytelling and presentation skills. You can walk into a boardroom and turn a skeptical CFO into a project champion, and you can mentor your team to do the same.
• Education: A B.S. in Data Science or a related field is desired; an MBA or TOGAF certification is a significant plus.
• Strong GTM intelligence Experience

About HG Insights

HG Insights is the pioneer of Revenue Growth Intelligence. For more than a decade, we have delivered comprehensive, AI-driven datasets on B2B buyers, technology adoption, IT spend, and buyer intent, sourced from billions of data points. Today, we are a trusted partner to Fortune 500 technology companies, hyperscalers, and innovative B2B vendors seeking precise go-to-market analytics and decision-making.

Through an evolving suite of AI agents that incorporate first-party data and buyer signals, HG Insights enables AI-powered GTM automation across sales, marketing, RevOps, and data analytics teams, modernizing GTM execution from strategy through activation.

Role Overview

The Applied Data Scientist - Research is a collaborative analytical partner to the Head of Data Science, contributing to the design and validation of GTM insights that power the Contextual Intelligence initiative.

You will co-develop insight logic, selecting signals, designing scoring frameworks, prototyping models in Python, and validating outputs. You will also contribute to the production-ready briefs that are implemented in the data production pipeline by the engineering team.

This role sits at the intersection of statistical modeling, structured data analysis, and applied AI. You are comfortable reasoning about how to measure something rigorously, how entities and relationships in a knowledge graph can be leveraged, and how to use LLMs as a practical tool in the insight development workflow, not as a subject of research, but as part of the toolkit.

What You Will Do

Insight & Model Development

• Co-develop scoring frameworks and metrics models, contributing to signal selection, weighting logic, and model structure across a range of GTM insight types (acquisition,expansion, retention, strategic)
• Prototype insight logic in Python notebooks: assembling features from HG's structured data assets, implementing model components, and stress-testing outputs.
• Design and run validation experiments to confirm that insight outputs are directionally correct, well-calibrated, and meaningful across the full vendor universe
• Contribute to ontology and entity design, thinking through how vendors, products, companies, and relationships should be structured to support a given insight, informed by a conceptual understanding of the knowledge graph schema

Production Brief Development

• Translate insight designs into clear, implementation-ready production briefs 
• Document model specifications precisely: component definitions, feature engineering, aggregation logic, edge case handling, and expected output distributions
• Participate in handoff reviews with the production function, answering implementation questions and refining specs based on feasibility feedback

Insight Research & Discovery

• Contribute to the prioritized insights catalog, researching new insight ideas, assessing data availability, and framing feasibility
• Stay current on GTM data science approaches, competitive intelligence methodologies, and relevant analytical techniques that could expand the insight library

What We're Looking For

Core Skills

• Statistical modeling depth: Ability to design and implement a range of scoring and metrics models from first principles; comfortable with component weighting, normalization, signed rate-of-change metrics, composite aggregation, and distribution analysis; knows when a technique is appropriate and why 
• Python for analytical prototyping: Strong notebook-based Python for data manipulation, feature construction, model prototyping, and output validation; pandas, NumPy, and Scikit are daily 
• SQL: Proficient in querying structured data at scale; used for signal extraction, feature derivation, and validation checks across large vendor and company datasets
• Analytical rigor & validation thinking: Ability to critically evaluate whether a model is measuring what it claims to measure; designs validation experiments, checks edge cases, and flags when outputs don't pass a sanity check
• Clear technical communication: Able to translate analytical logic into precise written specifications; the production brief is a key deliverable 

Applied AI & Graph Literacy

• LLM API usage: Hands-on experience using Claude, GPT, or equivalent APIs as a practical tool; can design effective prompts, integrate LLM steps into an analytical workflow, and evaluate output quality critically
• Knowledge graph concepts: Conceptual understanding of how entities, relationships, and properties are structured in a graph; able to reason about how graph-derived features (e.g., vendor-product-company traversals) should inform insight design, without necessarily writing production Cypher 

Nice to Have

• GTM/Management Consulting, or IT Research experience, familiarity with concepts like install base, intent signals, competitive intelligence, and market analysis. Experience writing Cypher or querying graph-structured data directly
• Experience working collaboratively with engineering, product and GTM teams
• Experience in a B2B SaaS or data products environment

Tools & Environment

Primary

• Python (pandas, NumPy, scipy, Jupyter)
• SQL
• LLM APIs (Claude, GPT)
• Git and version control

Working Knowledge

• Databricks
• Cloud storage 
• Knowledge graph concepts 

Job Title- Customer Success Manager II

About HG Insights

HG Insights delivers the world's most powerful technology intelligence for B2B go-to-market teams. Our platform helps customers identify high-value accounts, optimize territory coverage, and prioritize prospects based on real tech spend, install base, and intent signals. We don't guess; our customers win by using real data.

Role Overview

As a Customer Success Manager II on the Growth team, you'll own a portfolio of accounts and serve as the primary relationship, strategic advisor, and accountability partner for each customer. You're not a ticket-taker or a check-in coordinator. You're the person who helps customers connect HG's data to real GTM outcomes: better targeting, more pipeline, stronger territory coverage.

This role requires deep GTM domain fluency. You need to speak the language of sales ops, demand gen, and revenue leadership. Not just understand it conceptually, but use it to build trust quickly and deliver meaningful guidance. You'll navigate renewals, escalations, and difficult conversations with confidence, and you'll proactively surface expansion opportunities before anyone asks.

Every employee is expected to approach AI as a strategic collaborator that can 10x individual output, accelerate decision-making, and unlock new ways to solve problems. Whether you're optimizing workflows, analyzing data, drafting communications, or supporting customers, AI should be your first instinct, not your last resort.

Responsibilities

Customer Success and Value Realization

• Own onboarding for new accounts, driving customers through key milestones and ensuring early value is realized and documented.
• Build and maintain value realization plans tied to each customer's GTM objectives, with measurable KPIs and a clear link between platform usage and business outcomes.
• Conduct regular working sessions (1:1 and 1:many) with customer stakeholders across Sales, Marketing, and Revenue Ops to review progress, surface new use cases, and deepen adoption.
• Track platform engagement weekly, identify usage gaps, and proactively intervene before disengagement becomes a risk.

Account Health and Risk Management

• Maintain a clear, up-to-date picture of account health across your entire book, leveraging signals from platform usage, support tickets, Slack activity, and stakeholder sentiment.
• Own weekly pulse checks for all active opportunities, documenting sentiment trends and escalating risks with a clear diagnosis and mitigation plan.
• Lead difficult conversations head-on: renewals with pricing pushback, executive escalations, and at-risk accounts where the relationship needs to be rebuilt. You don't avoid these; you run toward them.
• Manage the full renewal motion for your accounts in close partnership with your AE, including negotiation support and executive alignment.

Strategic GTM Advisory

• Act as a trusted advisor on how HG data integrates into customers' existing GTM workflows, including ICP definition, territory design, account scoring, ABM campaigns, and pipeline generation.
• Coach customers on operationalizing HG data in tools like Salesforce, 6sense, or Outreach. You don't need to admin these systems, but you must speak the language fluently.
• Deliver executive-ready insights that connect platform usage to commercial outcomes, and present to senior stakeholders confidently.

Expansion and Cross-Functional Orchestration

• Proactively identify whitespace and expansion opportunities within your book by understanding the customer's full GTM footprint, not just the current contract scope.
• Collaborate with AEs to build a shared account strategy, acting as the customer's internal advocate.
• Loop in Product, Solutions, and Data Science teams when customer initiatives require it, and follow through to make sure those commitments are met.

What We're Looking For

Must-Have Traits

• GTM domain fluency. You have genuine experience in B2B go-to-market. You understand how revenue teams are built, how they use data, and what "good" looks like across demand gen, sales ops, and account-based strategy. Without this, ramp time is too long.
• Strategic orientation. You find ways to help customers succeed rather than waiting to be asked. You come to meetings with a point of view, not just an agenda.
• Persistence. You don't accept "no" and move on. You dig deeper, find another angle, and come back with something better. You're tenacious without being pushy.
• Comfort with hard conversations. Renewals with budget pressure, executive escalations, at-risk accounts: these don't rattle you. You handle them with composure and directness.
• Execution discipline. You're reliable. You don't let situations stall. You track your own commitments, ask for help when you need it, and follow through.
• Interpersonal range. You build trust with technical operators and C-suite executives alike. You read the room and adjust your style accordingly.
• Adaptability. You're energized by change, not drained by it. As the team and product evolve, you evolve with them.

Minimum Qualifications

• 4+ years in a Customer Success, account management, or GTM advisory role in a B2B SaaS environment.
• Demonstrated experience supporting customers with go-to-market strategy, including topics like ICP definition, account prioritization, territory coverage, or pipeline generation.
• Familiarity with tools like Salesforce, 6sense, Outreach, or similar GTM systems (workflow awareness required; configuration not required).
• Proven ability to manage a book of business through renewals, expansion conversations, and at-risk situations.
• Strong written and verbal communication skills. You can build a brief, lead an executive meeting, and send a tight follow-up email, all in the same day.
• Demonstrated head-first adoption of AI tools in day-to-day work.

Nice to Have

• Prior experience in a data intelligence, ABM, or intent data category.
• Background supporting Revenue Ops or demand generation teams as part of your CS work.
• Exposure to CS platforms such as Vitally, Gainsight, or Totango.

What Success Looks Like

• Your customers treat you like a strategic advisor. They bring you into budget conversations, planning cycles, and cross-functional initiatives.
• Your book is healthy: usage is up, pulse checks reflect genuine engagement, and you can articulate the business value each account is realizing.
• You identify renewal risks and expansion opportunities before your AE does.
• You've delivered documented value plans for 100% of your accounts, tied to measurable GTM outcomes: pipeline acceleration, coverage improvement, CAC reduction, or segment lift.
• Difficult conversations happened on your watch, and you owned them, recovered where possible, and learned from the ones you didn't.

About HG Insights

Headquartered in Santa Barbara, California, HG Insights is the global leader in technology intelligence. We help the world’s most innovative companies accelerate their go-to-market efforts with precision through advanced data science methodologies and proprietary data assets. We offer a culture that blends innovation, collaboration, and growth, where each team member is empowered to make a measurable impact.

Role Overview

We are looking for a Staff/Senior Machine Learning Engineer to join our growing AI and Data Platform team in Pune, India. In this role, you will be responsible for designing, building, and scaling ML systems that power our core data intelligence products. You’ll work at the intersection of data engineering and machine learning, collaborating closely with data scientists, software engineers, and product teams to turn models and agents into robust, production-ready systems.

This is a high-impact role suited for someone who thrives on ownership, scalability, and deploying real-world ML and AI solutions at scale.

Key Responsibilities

ML & AI System Development

• Design and build end-to-end ML pipelines, from data ingestion and feature engineering to model training, serving, and monitoring.
• Productionize AI agents, including LLM-backed workflows, multi-step tool use, and API orchestration.
• Collaborate with data scientists to bring experimental models into stable, high-performing production systems.
  
  

MLOps & Infrastructure

• Implement and maintain MLOps workflows (CI/CD for ML), tracking experiments, managing model versions, and automating retraining.
• Set up observability for models and agents, including tracing, logging, latency/error tracking, and fallback logic.
• Ensure infrastructure supports scalability, performance, and compliance requirements.
  
  

Technical Leadership & Collaboration

• Lead technical architecture for key AI and ML systems, ensuring maintainability and extensibility.
• Partner with product and platform teams to translate business needs into reliable and performant ML solutions.
• Mentor junior engineers and help elevate technical practices across the engineering org.

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8+ years of industry experience, with at least 4+ years in ML engineering or MLOps.
• Strong programming skills in Python and experience with ML libraries such as PyTorch, TensorFlow, and scikit-learn.
• Experience deploying AI agents in production, including retrieval-augmented generation (RAG), multi-step reasoning, and tool-use orchestration.
• Familiarity with LangChain, LlamaIndex, Haystack, or similar frameworks for agent development.
• Hands-on with LLMs (OpenAI, Anthropic, Cohere, etc.), embedding models, and vector store integration.
• Expertise in MLOps tools like MLflow, Airflow, SageMaker, or Kubeflow.
• Experience with cloud platforms (preferably AWS), Docker/Kubernetes, and large-scale data systems (e.g., Snowflake, Databricks).
• Excellent problem-solving and system design skills, including CI/CD, testing, and infrastructure-as-code.
  
  

Preferred Qualifications

• Experience with streaming pipelines, online inference, and model monitoring at scale.
• Exposure to agent memory, feedback loops, or AI workflow orchestration in customer-facing products.
• Prior contributions to open-source ML or LLM projects are a plus.
  
  

Why Join HG Insights?

• Work on high-impact AI products used by global enterprise customers.
• Lead the ML engineering strategy and shape our AI platform.
• Competitive compensation and benefits tailored for India-based employees.
• A collaborative and innovation-focused team environment.
  
  

Ready to build the future of AI infrastructure? Apply now to join HG Insights as a Staff Machine Learning Engineer in Pune.

About us:

HG Insights is the pioneer of Revenue Growth Intelligence. For more than a decade, we have delivered comprehensive, AI-driven datasets on B2B buyers, technology adoption, IT spend, and buyer intent, sourced from billions of data points. Today, we are a trusted partner to Fortune 500 technology companies, hyperscalers, and innovative B2B vendors seeking precise go-to-market analytics and decision-making.

Through an evolving suite of AI agents that incorporate first-party data and buyer signals, HG Insights enables AI-powered GTM automation across sales, marketing, RevOps, and data analytics teams, modernizing GTM execution from strategy through activation.

What You'll Do:

We’re searching for an experienced Full Stack developer to work on our product teams who is passionate about developing products that are simple, intuitive, and beautiful. We build big-data systems utilizing cutting-edge technologies and solutions that allow our developers to learn and develop while shipping amazing products.

As part of our team, you’ll be working on our Big Data Insights Platform products and elevating user experiences. Our stack is based on Elixir, React, and GraphQL APIs. We are a growing company with small, focused engineering teams that are delivering innovative features in a fast-growing market.

What You’ll Be Responsible For:

• You will work on our Product Engineering Teams
• You will design and enhance core business-driving services and products
• You will develop features in our databases, backend apps, and front end UI
•  You will help architect and design service-driven UI via RESTful and GraphQL APIs
• You will work on ideas from different team members as well as your own
• Participate in our on-call rotation, Fix bugs rapidly and investigate and resolve production problems
• Attend daily stand-up meetings, planning sessions, encourage others, and collaborate at 
  a rapid pace

What You’ll Need:

•  BS/MS in Computer Science, or other related fields. Or on-the-job experience.
• 5+ years of designing and programming in a work setting 
• Proficient in backend (Elixir) and frontend (JavaScript/TypeScript) with real-world experience applying system and code design patterns.
• Strong in React or similar
• Experience building RESTful or GraphQL APIs
• Good knowledge of SQL
• Experience with Amazon Web Services (EC2, S3, RDS, Lambdas, EKS, etc.)
• Comfortable working with CI/CD and automation tools: Docker, Kubernetes, Terraform or
  similar
• Good DevOps skills (automate everything, infrastructure as code)
• Comfortable in an agile development environment
• Self-learner, hacker, and technology advocate who can work on anything
• Thrive in a fast-growing environment
• Proven track record of successful project delivery
• Excellent written and spoken English communication

Nice-to-haves:

•  You've worked on Enterprise-grade SaaS applications
• Experience leading a project / team
• Familiar with ElasticSearch, Snowflake/Databricks, ClickHouse or similar Big Data technology
• Loves startup culture where everyone's contributions are felt and loved.

About Us

HG Insights is the global leader in technology intelligence, delivering actionable AI driven insights through advanced data science and scalable big data solutions. Our platform informs go-to-market decisions, and we influence how businesses spend millions of marketing and sales budgets.

What You’ll Do:

• Design, build, and optimize large-scale distributed data pipelines for processing billions of events from and to multiple sources of data.
• Architect and scale enterprise-grade big-data systems, including data lakes, ETL/ELT workflows, and syndication platforms for customer-facing products.
• Orchestrate pipelines and workflows with Airflow.
• Write optimized data into analytical databases such as ClickHouse, DuckDB, and Redshift
• Ensure data quality, consistency, and reliability across the pipeline.
• Monitor pipeline performance and troubleshoot data issues.
• Collaborate with product teams to develop features across databases, and backend services.
• Implement cutting-edge solutions for data ingestion, transformation, and analytics.
• Drive system reliability through automation, CI/CD pipelines (Docker, Kubernetes, Terraform), and infrastructure-as-code practices.

What You’ll Be Responsible For

• Development of the Data side of our Platform, ensuring scalability, performance, and cost-efficiency across distributed systems.
• Collaborating in agile workflows (daily stand-ups, sprint planning) to deliver features rapidly while maintaining system stability.
• Ensuring security and compliance across data workflows, including access controls, encryption, and governance policies.

What You’ll Need

• BS/MS/Ph.D. in Computer Science or related field, with 7+ years of experience building production-grade big data systems.
• Strong SQL skills and solid data modeling fundamentals with hands-on experience building ETL / ELT pipelines.
• Proficiency in Python for data processing and integrations.
• Familiarity with dbt, Airflow, Databricks and modern analytics engineering practices

Nice-to-Haves

• Knowledge of data governance frameworks and compliance standards (GDPR, CCPA).
• Contributions to open-source big data projects or published technical blogs/papers.
• DevOps proficiency in monitoring tools (Prometheus, Grafana) and serverless architectures.

Job Title: Senior Product Manager 

What You’ll Do

We are looking for an experienced, versatile Senior Product Manager in Pune who will own and drive the roadmap and execution of a significant portion of the TrustRadius product portfolio within HG Insights. TrustRadius is a buyer intelligence platform that helps software buyers discover the right software to solve their use case, and helps software vendors maximize their brand awareness and preference leveraging voice of the customer content to drive demand. In this role, you will collaborate with other product leaders and functional leaders to determine the strategy and roadmap that will drive software vendor adoption and value through our product offerings. You will deliver products that delight software vendors, create business value, and power the next wave of growth for our Customer Voice, Intent Data, and Leads offerings. 

The ideal candidate for this position is comfortable working across a variety of different product offerings and surface areas, from creating APIs and integrations to ensuring a frictionless platform user experience. You will work closely with engineering and design to prioritize work across new and existing features used by software vendors and will collaborate with marketing and field leaders to bring them to market.

What You’ll Be Responsible For:

• Define the product roadmap and success metrics for software vendor  customer facing offerings, in alignment with company vision, customer needs, and market trends
• Balance short-term revenue objectives with long-term product quality and strategic differentiation
• Understand B2B software vendor needs by conducting thorough market research, customer interviews, and data analysis to identify unmet needs and opportunities for your areas of ownership 
• Transform user needs and business requirements into detailed product specifications, user stories, and acceptance criteria for engineering teams
• Collaborate with other product leaders to deliver a trusted marketplace experience for both B2B buyers and vendors
• Effectively prioritize features and initiatives based on business value, technical feasibility, and user impact, ensuring a well-defined and groomed product backlog
• Partner with Engineering to ensure requirements are clear, user stories are written, and acceptance criteria followed per agile software development principles
• Develop and monitor clear success metrics and KPIs—leveraging data-driven insights and customer feedback for continuous improvement
• Clearly and concisely communicate product plans, progress, and results to stakeholders at all levels of the organization
• Engage frequently with customers and internal stakeholders to share the roadmap, gather feedback, and deepen your understanding of evolving needs
• Partner closely with Sales, Marketing, and Customer Success to collect feedback, align on solutions, and product drive adoption
• Stay up to date on industry trends in review sites, buyer intelligence, intent data and more. Understand how emerging technologies are affecting how buyers research software and how we can help software vendors effectively tell their story and drive demand with their buyers 

What You’ll Need

• 5+ years of product management experience owning product lines in SaaS, technology, marketplaces, data, and/or integrations 
• Direct experience working in the software review (e.g. G2, Gartner), buyer intelligence, or intent data space is a plus
• Experience working with demand agencies and/or products used by customer marketers, product marketers, and demand generation is a plus 
• Experience optimizing content and site experience for maximum visibility in SEO and GEO is a plus
• Growth mindset with a record of continuous improvement and adaptability in dynamic environments
• Demonstrated success managing a broad product portfolio and prioritizing where to invest in new opportunities and ongoing product health
• Strong analytical skills and experience assessing product opportunities, validating business cases, and driving decisions with data
• Previous experience working cross-functionally with engineering, design, data, and go-to-market teams in a fast-paced environment
• Experience building and working with APIs and third-party integrations to drive business and customer outcomes
• Deep customer focus, empathy, and demonstrated success translating customer needs into winning product solutions
• Excellent communication, stakeholder management, and influencing skills
• Bachelor's degree in Business, Computer Science, Engineering, or a related field; an advanced degree is a plus

About HG Insights & TrustRadius 

TrustRadius, an HG Insights company, is a leading platform for software reviews, intent data, and customer-driven insights. As part of HG Insights, TrustRadius is innovating at the intersection of B2B buyer research, authentic customer voice, and vendor demand generation to help software buyers make informed technology decisions and software vendors leverage the voice of their customers to accelerate demand. 

HG Insights is the pioneer of Revenue Growth Intelligence. For more than a decade, we have delivered comprehensive, AI-driven datasets on B2B buyers, technology adoption, IT spend, and buyer intent, sourced from billions of data points. Today, we are a trusted partner to Fortune 500 technology companies, hyperscalers, and innovative B2B vendors seeking precise go-to-market analytics and decision-making.

Through an evolving suite of AI agents that incorporate first-party data and buyer signals, HG Insights enables AI-powered GTM automation across sales, marketing, RevOps, and data analytics teams, modernizing GTM execution from strategy through activation.

Product Group: TrustRadius is a B2B technology decisioning platform that helps buyers make confident software purchase decisions and enables vendors to activate high‑intent, in‑market buyers through rich review content and intent data signals. As part of HG Insights, TrustRadius powers data‑driven go‑to‑market strategies for leading B2B technology brands worldwide.

Job Title: Principal Engineer

Role Overview

We are looking for a Principal Engineer – Engineering to provide technical thought leadership for our vendor‑side data platform and pipelines. This is a senior individual contributor role (IC) with Principal Engineer scope, responsible for the architecture, evolution, and reliability of our microservices and data pipelines that power vendor lead generation, intent resolution.

You will set the long‑term technical direction, mentor senior/staff engineers, and stay hands‑on in critical code paths across NestJS/Node.js, TypeScript, Python data pipelines, and event‑driven services.

Key Responsibilities

• Own the end‑to‑end architecture for data ingestion and processing pipelines, from external data sources through Airflow‑orchestrated Python workflows into storage on S3 and downstream services.
• Design and evolve microservices built with NestJS/Node.js and TypeScript, exposing APIs for lead generation, vendor management, and intent resolution at scale.
• Define and drive database architectures across PostgreSQL and MongoDB and Elastic, including complex data models for B2B lead scoring, vendor relationships, and customer analytics.
• Provide technical thought leadership to create and grow an agile, high‑performing engineering team culture around CI/CD, trunk‑based development, testing, observability, and rapid iteration.
• Lead the adoption of real‑world AI/ML in engineering workflows (code generation, code review, test generation, incident analysis) to materially improve development speed and quality.
• Partner with product and marketing to design data and service architectures that maximize content/intent data pipelines that make TrustRadius a top‑ranked destination for vendors and buyers.
• Implement and evolve secure authentication and authorization patterns using Auth0, OAuth2, and JWT for a multi‑tenant SaaS platform serving enterprise customers.
• Integrate and scale third‑party services such as LinkedIn APIs, intent enrichment, Salesforce CRM, and payment processors, with robust resilience, observability, and fault‑tolerant retry strategies.
• Architect and optimize event‑driven systems on Google Cloud Pub/Sub for real‑time data processing, enrichment, and inter‑service communication.
• Drive performance and cost optimization of APIs and data pipelines, including caching strategies, query tuning, horizontal scaling, and right‑sizing of cloud resources.
• Champion best practices for data quality, governance, and monitoring across vendor data feeds and internal platforms to ensure accurate, trusted signals for downstream analytics and GTM activation.
• Mentor Engineers, providing guidance on system design, trade‑offs, and long‑term roadmap, while influencing technical decisions.

Core Technical Skills

• Expert‑level experience designing and building large‑scale backend systems and microservices with NestJS/Node.js and TypeScript.
• Strong hands‑on experience with Python data ingestion and ETL/ELT pipelines, ideally orchestrated using Apache Airflow and cloud object storage such as S3.
• Deep understanding of relational and NoSQL database design, specifically PostgreSQL and MongoDB, including schema design, indexing, and performance tuning.
• Proven experience with secure authentication/authorization in SaaS environments using Auth0, OAuth2, and JWT.
• Strong background integrating external APIs and SaaS systems.
• Hands‑on experience with event‑driven architectures and messaging systems.
• Solid understanding of cloud infrastructure (preferably GCP), containerization, CI/CD pipelines, and production observability (logging, metrics, tracing).

Nice‑to‑Have Skills

• Experience with MCP architectures and tools development.
• Practical knowledge of machine learning techniques applied to data pipelines.
• Experience in content/intent‑data‑driven products, especially in B2B SaaS or marketplaces.
• Familiarity with data platforms in the B2B buyer intent or intent data provider space.

Business Outcomes and Impact

In this role, you will be accountable for:

• Building and sustaining an agile, high‑impact engineering culture through technical thought leadership, standards, and mentorship.
• Demonstrable improvements in engineering efficiency and quality through AI‑assisted tooling, automation, and better platform abstractions.
• A continuously evolving, scalable data and service architecture that strengthens TrustRadius’s position as the number‑one destination for SEO and GEO‑driven software buying traffic, and as a key provider of high‑quality intent data to vendors.