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.

HG Insights - Remote, USA

HG Insights is seeking a versatile and experienced Platform Architect. The ideal candidate will bring a strong mix of technical expertise, leadership experience, and a proven track record in building scalable distributed systems.

What You’ll Do:

We are looking for a Platform Architect to drive technical excellence, mentor teams, and lead the development of our next-generation products.
The role requires someone who can balance strategic thinking with hands-on technical leadership.

What You'll Be Responsible For:

• Lead and mentor engineering teams across frontend, backend, and infrastructure domains
• Drive technical vision and architecture decisions for complex distributed systems
• Collaborate with executive leadership on product strategy and technical roadmap
• Build and scale engineering teams through effective hiring, mentoring, and development
• Establish engineering best practices, processes, and quality standards
• Drive innovation in cloud-native architectures and deployment strategies
• Lead implementation of cost-effective and performant cloud solutions
• Oversee development of scalable frontend and backend systems
• Manage site operations and technical infrastructure

What You’ll Need: 

• 20+ years of software engineering experience with at least 5 years in leadership roles
• Strong experience in cloud-native technologies, distributed systems
• Proven track record of leading full-stack engineering teams
• Deep expertise in modern frontend and backend technologies
• Experience with cloud platforms and infrastructure management
• Strong background in API design and microservices architecture
• Experience with monitoring, observability, and performance optimization
• Track record of successful product deliveries and team scaling
• Bachelor's degree in Computer Science, Engineering, or related field

Technical Skills

• Cloud Platforms & Technologies: Docker, Kubernetes, Cloud-native architectures
• Frontend: React.js, Angular, JavaScript/TypeScript, HTML/CSS
• Backend: Java, Go, Node.js, RESTful services
• Databases: Experience with both SQL and NoSQL databases
• Infrastructure: Experience with monitoring tools, CI/CD pipelines
• Architecture: Microservices, distributed systems, high-availability systems

Leadership Competencies

• Strategic thinking and ability to translate business requirements into technical solutions
• Strong team building and mentoring capabilities
• Excellent communication skills with both technical and non-technical stakeholders
• Experience in agile methodologies and project management
• Ability to drive innovation and technical excellence
• Strong focus on engineering quality and best practices

Location: Remote, USA

Employment Type: Full-time

Headquartered in beautiful Santa Barbara, HG Insights is the global leader in technology intelligence. HG Insights uses advanced data science methodologies to help the world’s largest technology firms and the fastest growing companies accelerate their sales, marketing, and strategy efforts.

The Role

We are seeking a tenacious and high-energy Inside Sales Representative with a "hunter" mentality. This position is laser-focused on outbound prospecting to generate new business/expansion opportunities supporting an outside Account Executive/Account Manager.

You will be the engine of our sales growth, responsible for breaking into new accounts and customers through high-volume cold calling, strategic emailing, and social selling. Your primary goal is to uncover net-new opportunities and fill the pipeline with qualified meetings. This is a metrics-driven role ideal for a sales professional who thrives on "the hunt" and wants to control their success. 

3-6 Month Success Criteria

Success in this role is defined by your ability to hit consistent activity and output targets. You will be measured on your ability to achieve Leading Indicators and KPIs on a quarterly and monthly basis, including:

• Activity Cadence: consistently meeting or exceeding weekly targets for Outbound Calls, Strategic Emails and LinkedIn messages
• Pipeline Conversion: Successfully converting outbound activity into Meetings Booked with key decision-makers.
• Ramp Speed: Demonstrating a quick ramp-up in activity volume and pipeline contribution during the initial training period.

What You'll Be Responsible For

• High-Volume Prospecting: Work with your AE/AM to execute a rigorous outbound strategy (cold calls, emails, LinkedIn) to identify and engage key decision-makers in target accounts.
• Meeting Generation: Convert cold outreach into qualified meetings. You will be responsible for "booking the meeting" and ensuring smooth handoffs or progression through the sales cycle.
• Pipeline Development: Self-source new opportunities to ensure healthy pipeline coverage. You will not rely on inbound leads; you will build your own book of business.
• Data-Driven Execution: Maintain impeccable hygiene in Salesforce (SFDC) and leverage sales engagement tools (Outreach/Gong) to track your dials, connections, and conversions.
• Market Intelligence: Articulate the HG Insights value proposition to diverse stakeholders, quickly establishing credibility and interest.

What You'll Need (Qualifications)

• Located in Seattle or San Francisco
• Verifiable Sales Success: 1-3 years of sales experience, specifically in an outbound SDR/BDR or Inside Sales role.
• Grit & Resilience: A fearless approach to cold calling and objection handling. You must be comfortable with high activity volume and have historical success in doing so
• Tech Stack Proficiency: Hands-on experience with tools such as Salesforce, Outreach (or similar sales engagement platforms), LLMs, and ZoomInfo/LinkedIn Sales Navigator.
• Communication: Exceptional verbal and written communication skills; you can craft a compelling email and command attention on a cold call.
• Operational Discipline: Ability to manage your time effectively to hit daily and weekly activity metrics without micromanagement.

HG Insights Company is an Equal Opportunity Employer

Please note that HG Insights does not accept unsolicited resumes from recruiters or employment agencies. In the event of a recruiter or agency submitting a resume or candidate without a signed agreement being in place, we explicitly reserve the right to pursue and hire such candidates without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of HG Insights

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 

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

HG Insights runs data infrastructure across three organizations, two clouds, and sixteen database and caching technologies. As we scale, we're consolidating database ownership under Platform Engineering. This role leads that function.

You will be the first database specialist on our DevOps team; embedded, not siloed. You'll own the full database portfolio: operational health, security posture, cost optimization, and the migration work required to modernize our data layer. As you build the practice, you'll cross-train DevOps engineers so the capability compounds beyond one person.

This is a Senior/Staff individual contributor role. You will set direction on database strategy and own its execution. The team you're joining manages 140+ IaC repositories across AWS, GCP, and Kubernetes.

Job Overview 

_{What You'll Own}

Database ownership across the portfolio

• Primary operator for PostgreSQL (RDS, Aurora, Cloud SQL, NeonDB), MySQL, Redshift, ClickHouse, Elasticsearch, OpenSearch, MongoDB Atlas, and Databricks
• Caching layer ownership: ElastiCache Redis, Dragonfly, Valkey
• Version management and patching across a multi-repo Terraform estate; coordinate EOL remediations across AWS and GCP
• Establish backup, recovery, and DR standards across all managed data layers

Migration and modernization

• Lead Elasticsearch modernization; approved architecture, ready to execute
• Lead ClickHouse stabilization and standardization
• Phoenix data repatriation: move third-party-hosted data in-house as Phoenix migration progresses
• NeonDB consolidation evaluation

Performance and cost

• Own database cost optimization across the portfolio: capacity planning, rightsizing, reserved instance and savings plan recommendations
• Query analysis, slow query identification, connection pool tuning
• Identify and execute on addressable savings in the database infrastructure spend

Platform integration

• Terraform and Terraform Cloud for all database infrastructure; standardize configurations across a fragmented estate
• ArgoCD and Kubernetes (EKS, GKE) for database workloads running in-cluster (Elasticsearch, ClickHouse, Dragonfly)
• GitHub Actions CI for database migration testing and backup validation
• Build and own the database observability layer in Datadog: dashboards, monitors, slow query alerting, replication lag, connection saturation

Collaboration with application engineering

• Partner with application engineering teams on database design, schema changes, query optimization, and technology selection; you are the subject matter authority they escalate to
• Establish and maintain standards for how application teams interact with the data layer: migration tooling, connection management, index design review, and capacity requests
• Own the feedback loop between application performance and database infrastructure; connect slow query data to engineering teams who can act on it

Cross-training and knowledge transfer

• Structured cross-training with the DVO team so database operational capability isn't concentrated in one person
• Document operational runbooks, incident response procedures, and capacity planning models

What We're Looking For

• 5+ years of hands-on database administration or database engineering; not theoretical
• Deep PostgreSQL expertise: replication, vacuum tuning, connection pooling (PgBouncer/PgCat), index strategy, major version upgrades
• Elasticsearch operational experience at scale; index lifecycle management, shard sizing, snapshot/restore, Kubernetes-hosted clusters
• ClickHouse or columnar database experience is a strong plus
• AWS RDS, Aurora, Redshift, ElastiCache; day-to-day operations, not just provisioning
• Terraform and Terraform Cloud; you will be reading and writing IaC on day one
• Kubernetes (EKS or GKE); database workloads run in-cluster and you need to be comfortable there
• Python or Bash scripting; maintenance windows, backup validation, migration tooling
• Migration experience; schema migrations, cross-engine moves, zero-downtime cutover strategies
• Datadog or equivalent observability tooling

Nice to have

• BigQuery, DynamoDB, or Databricks administration
• Redis/Valkey/Dragonfly at production scale
• MongoDB Atlas administration
• Cloud cost optimization (reserved capacity, savings plans)

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.

HG Insights is a leader in technology intelligence, providing data-driven insights that help businesses make strategic decisions about technology investments and market opportunities. We transform raw data into actionable intelligence that drives revenue growth and competitive advantage for our customers.

We’re hiring Strategic Account Managers to nurture and grow relationships with enterprise customers. You’ll serve as the primary point of contact post-sale, responsible for renewal, satisfaction, and in-year expansion. With recent acquisitions enabling us to deliver a comprehensive, end-to-end solution, you’ll need a strong grasp of our customers’ evolving business needs and the ability to drive adoption across their organizations.

Location: San Francisco Bay Area, Seattle, New York City or EMEA.

What You’ll Do

• Manage a portfolio of enterprise accounts, ensuring a seamless onboarding and consistently high customer satisfaction.
• Own the post-sale customer lifecycle: onboarding, adoption, retention, renewal, and expansion.
• Partner with customer stakeholders to understand their goals, uncover new use cases, and drive value realization.
• Identify and pursue in-year expansion and upsell opportunities through proactive engagement and account planning.
• Use AI and modern sales/customer success tools to analyze account health, identify signals of risk or opportunity, and prioritize outreach.
• Develop and execute strategic account plans in collaboration with internal teams (Product, Marketing, Sales).
• Act as a customer advocate, bringing feedback to leadership and helping refine our offerings and processes.

What We’re Looking For

• Proven experience managing and growing enterprise customer relationships ($1B +), ideally with renewals and upsell track record.
• Ability to deliver against renewal and expansion quotas, with examples of successful account growth.
• Strong critical thinking, consultative, and communication skills to become a trusted advisor to customers.
• Comfort with change—able to adapt to new tools, customer needs, and processes quickly.
• Resourceful, organized, and self-directed, thriving without a rigid playbook.
• Required: Demonstrated ability to quickly adopt and use AI tools to enhance client engagement, analyze account trends, and drive expansion and retention strategy. You should be able to evaluate new AI features, integrate them naturally, and continuously improve your approach.
• Industry experience in data, SaaS, or B2B tech is helpful but not required.

Why This Role Might Be Right for You

• You’re energized by building lasting customer relationships and driving mutual success.
• You excel at balancing a portfolio, prioritizing effectively, and delivering results.
• You value collaboration and continuous learning, seeking to improve through feedback.
• You’re driven by the challenge of improving retention and growth, not just maintaining the status quo.

#SalesJobs #RevOps #AccountExecutive #Hiring #B2BSales #AccountManager

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.

Director, Data Engineering
Location: Remote (US)

About Us:

Headquartered in beautiful Santa Barbara, HG Insights is the global leader in technology intelligence. HG Insights uses advanced data science methodologies to help the world’s largest technology firms and the fastest-growing companies accelerate their sales, marketing, and strategy efforts. We offer a competitive salary, 401K, growth potential, stock options, great benefits, and a casual yet professional environment. We are passionate about our jobs with a get-it-done attitude, yet we don’t take ourselves too seriously.

What You’ll Do:

As the Director of Data Engineering, you will lead a high-performing team responsible for designing, building, and managing the data infrastructure and pipelines that drive HG Insights’ data products and services. You will define the strategic direction of the Data Engineering function, collaborate with cross-functional teams, and ensure the scalability, efficiency, and reliability of our data systems. Your role will be pivotal in ensuring the success of our data-driven initiatives.

What You’ll Be Responsible For:

Strategic Leadership

• Define and execute the strategic roadmap for the Data Engineering team.
• Align the data infrastructure and processes with the company’s business objectives and growth strategy.

Team Leadership and Development

• Lead, mentor, and grow a team of skilled data engineers, fostering a culture of collaboration, innovation, and excellence.
• Attract and retain top talent to build a world-class Data Engineering organization.

Data Infrastructure Management

• Oversee the development and optimization of scalable, reliable, and efficient data pipelines and platforms.
• Ensure data systems are designed for high availability, security, and performance.

Collaboration and Stakeholder Management

• Partner with Product, Data Science, Engineering, and Business teams to understand their data needs and deliver solutions that meet those needs.
• Act as a key liaison between technical teams and business stakeholders, ensuring alignment and transparency.

Innovation and Continuous Improvement

• Stay abreast of emerging technologies and industry best practices in data engineering.
• Drive the adoption of new tools, technologies, and methodologies to enhance the team’s efficiency and effectiveness.

Operational Excellence

• Define and enforce standards, processes, and best practices for data engineering.
• Monitor and optimize the performance of data systems to ensure they meet SLAs and business requirements.

1. Data Governance and Compliance

• Ensure that all data systems and processes comply with relevant regulations and standards.
• Implement robust data governance practices to maintain data quality and integrity.

What You’ll Need:

• BS or MS in Computer Science, Data Engineering, or a related field.
• 10+ years of experience in data engineering, with at least 5 years in a leadership role.
• Proven track record of designing and managing large-scale, distributed data systems.
• Deep expertise in data engineering technologies such as Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, GCP).
• Strong knowledge of database systems (SQL and NoSQL) and ETL processes.
• Excellent leadership and communication skills, with the ability to influence across all levels of the organization.
• Experience with data governance, compliance, and best practices.
• A passion for building scalable, efficient, and innovative data systems.

Why Join Us:

• Be part of a dynamic and innovative team driving growth in the tech industry.
• Opportunity to lead impactful projects and shape the future of data engineering at HG Insights.
• Competitive salary and benefits package.
• Collaborative and inclusive work environment.

Apply Today to lead the next phase of innovation in data engineering!

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.

HG Insights is the leading provider of Technology Intelligence for B2B organizations. We help revenue teams focus on the right accounts, at the right time, with the right message by combining deep technographic insights with advanced analytics and data-driven workflows.

You'll be joining the team that builds and scales our data-intensive, analytics-driven products—powering high-impact go-to-market decisions for our customers.

Job Title: Sr. Data Acquisition Specialist
Department: Data Operations

What You’ll Do: 

In this role, you will research and vet new data providers as data needs arise, handle vendor relationships and contracts, and manage intent-related projects to ensure the integrity of our data. You’ll work closely with data analytics and internal clients to increase the trackability of the technology products, improve our firmographic data, increase intent mapping, and support data insight projects.

Our Ideal Candidate:
The Sr. Data Acquisition Specialist is a highly organized, team player who is able to manage multiple projects simultaneously, provide the critical communication link between data analytics, engineering, and data vendors, and ensure accurate and expansive global data coverage. The ideal candidate possesses the following:

• Advanced research and analytical skills
• Solid understanding of data - including firmographics, intent, and technographic intelligence
• Ability to identify and evaluate potential data sources
• Expertise in interpreting and managing contracts
• Strong negotiation skills
• Meticulous attention to detail
• Clear written and verbal communication skills
• Critical thinking and problem-solving ability

What You'll Be Responsible For:

• Tracking data deliveries and communicate issue to data providers
• Monitoring the timeliness and completeness of data ingestion across all sources
• Identifying gaps in current data and recommending sources or processes to improve coverage 
• Assessing whether current providers are meeting contract obligations
• Determining if the data provided is fulfilling HG’s needs, if the contract should be cancelled, renewed, or allowed to lapse
• Researching possible alternate provider, write up analyses, and determine if they are a viable replacement
• Compare and recommend best option for acquisition
• Reviewing and redlining contracts, coordinating revisions with HG legal team, and renegotiating renewals as appropriate
• Maintaining contract copies, data acquisition budget sheet, and update as changes occur
• Working with data analytics and/or engineering to evaluate samples from potential data providers to determine uplift
• Ensuring consistent delivery of intent topics, timely mapping of new topics, and inclusion of topics in intent collections
• Analyzing intent mappings and surfacing/correcting errors and anomalies
• Support of other Data Operations production activities (such as technographics, firmographics, functional area intelligence, partner intelligence, new product launches, and special projects)

What You’ll Need: 

• Analysis report writing skills 
• Ability to manage multiple projects, adapt to changing priorities, and deliver by deadlines
• Team-minded work ethic with the ability to work under limited supervision
• Contract experience
• Clear written and verbal communication skills
• Critical thinking/Problem-solving prowess
• Proficiency with MS Office and Google Suite, Confluence, Jira, and Zoom
• Familiarity/working knowledge of MySQL, Athena, and Boolean search skills
• Native fluency in English 
• 1-2 years of experience working in an office environment is required
• Bachelor’s degree in Business Administration, Law, or a Technology-related field preferred

HG Insights Company is an Equal Opportunity Employer 

Please note that HG Insights does not accept unsolicited resumes from recruiters or employment agencies. In the event of a recruiter or agency submitting a resume or candidate without a signed agreement being in place, we explicitly reserve the right to pursue and hire such candidates without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of HG Insights

HG Insights is a leader in technology intelligence, providing data-driven insights that help businesses make strategic decisions about technology investments and market opportunities. We transform raw data into actionable intelligence that drives revenue growth and competitive advantage for our customers. 

What You’ll Do:

We are seeking a passionate and experienced Go-To-Market Sales Engineer to play a vital role by educating the customer on how best to activate HG Insights Revenue Growth Intelligence within their sales and marketing processes.

You will be at the forefront of innovation, leveraging the power of data and AI to solve complex user problems and create significant business value. Educate clients on best practices learned through similar client interactions, identifying opportunities with the prospect for market insights to impact across a range of use cases.

Working collaboratively with the prospect to build an implementation plan and liaising with sales and customer success teams to ensure the optimum commercial and engagement plan is in place to deliver the maximum value.  Through focused engagement in the pre-sales and onboarding phases of the customer journey, the Sales Engineer will make a significant impact on HG’s customer base.

Our ideal candidate is relentless in delivering customer value. You’ll be passionate about data and its use to solve complex customer problems.  If you are a strategic thinker with a strong technical understanding of data and AI, a customer-centric mindset, and a proven track record of delivering customer value, we want to hear from you!

What You'll Be Responsible For:

• Decreasing prospect/customer time to value by defining a sales and marketing transformation plan based on data and AI-centric best practices and unique customer needs to drive deal closing and the customer onboarding phase
• Contributing to the alignment of the prospects sales, marketing, and product teams to ensure adoption of the transformation plan
• Splitting time between HG sales and customer success teams as a subject matter expert to educate prospects and customers on the HG offering and best practices. Targeting a split of 80% pre-sale and 20% post sale activity.
• Creating best practices and training materials for HG sales and customer success teams
• Acting as an expert in the capabilities of HG’s offering to ensure solution fit with prospects and customers
• Working with HG’s product team to evolve our product offering based on your front-line experiences

What You’ll Need:

• 5+ years pre-sale experience within data intelligence / GTM technology vendor or held a senior sales operations role client side 
• A customer-centric mindset with a passion for solving user problems.
• Outstanding customer rapport with ability to confidently communicate at all levels of seniority
• Commercial mindset with strong sales acumen 
• An understanding of intelligence providers such as ZoomInfo, 6Sense, D&B, Apollo.io, Clay TechTarget etc.
• Working knowledge of the typical martech stack to include AI, automation, CDPs, CRM, data warehouseHaving working knowledge of at least one of the following use case areas.
• Market Planning
• Competitive Intelligence
• Partner Programs
• ICP Development
• Territory Optimization
• Wallet Share
• Account Sizing & Scoring
• An understanding of how to drive transformation through process change
• Playmaker abilities that can get Strategy, Sales, Marketing and Product aligned
• Ability to educate and lead people to an outcome

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.

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. 

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.

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

We’re searching for an experienced backend JavaScript engineer to join our product teams and help build systems that are simple, intuitive, and scalable. We develop big-data platforms using modern technologies and architectures, giving engineers the autonomy to learn, grow, and ship impactful products.

In this role, you’ll collaborate closely with Product Managers, Product Designers, and fellow engineers on our Insights Platform, designing and building reliable backend services that power great user experiences. Our backend stack is primarily based on Node.js.

What You’ll Be Responsible For

• Work as part of our Product Engineering teams
• Architect, design, and implement service-oriented backend systems and APIs
• Build, maintain, and evolve RESTful APIs
• Collaborate on ideas across the team, from concept through production
• Fix bugs quickly while continuously improving system reliability and performance
• Participate in our on-call rotation and help investigate and resolve production issues
• Attend daily stand-ups and planning sessions, collaborate at a fast pace, and help raise the engineering bar
  
  

What You’ll Need

• BS/MS in Computer Science or a related field, or equivalent real-world experience
• 7+ years of professional software engineering experience
• Strong proficiency in JavaScript and TypeScript, with a backend focus
• Proven experience applying system and code design patterns in production environments
• Experience using AI-assisted development tools (e.g. Codex, Claude, Gemini) with advanced workflows
• A self-learner and technology advocate comfortable working across different areas of the system
• Ability to thrive in a fast-growing, high-ownership environment
• Excellent written and spoken English communication skills

Nice-to-Haves

• Experience building or maintaining enterprise-grade SaaS applications with large datasets
• Experience designing or building AI-powered features or systems
• Experience working with Python
• Enjoys startup culture where individual contributions are visible, impactful, and valued

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 Senior Staff Engineer to join our growing AI and Data Platform team in the USA. We're looking for strong engineers who are able to clearly articulate and command the technical requirements of multiple product areas.

Knowledge and Skills

• Solid knowledge of engineering and development principles and best practices
• Solid knowledge of the tools and frameworks used at HG Insights
• Solid communication skills
• Solid organization skills
• Solid understanding of prioritization and optimization processes
• Mentors others to inspire and instill confidence
• Solid and reference display of technical knowledge in multiple domains (AI/ML/Agentic Frameworks, FE, BE, Data, Infra, QA, etc.)
• Full technical command and product understanding of multiple areas of the product

Etiquette

• Solid display of HG Insights Values
• Proactively seeks to improve the technical codebase of multiple areas of the product
• Proactively contributes to the improvement of the entire engineering team skillset
• Proactively works towards improving the current technical stack
• Proactively takes care of the future of the codebase and suggests changes
• Contributes actively to the execution of key projects and taskforce teams
• Contributes actively to the execution of cross-area projects

Progress

• Works towards comprehending more than the assigned product areas
• Works towards empowering other engineers to better comprehend all product areas

Expects

• Continuous feedback on all things
• Helps to solve complex problems
• Maintain and control technical debt
• Training in other areas of the product

Why Join HG Insights?

• Work on high-impact AI products used by global enterprise customers.
• Competitive compensation and benefits
• A collaborative and innovation-focused team environment.