Senior Growth Operations Manager

Jobgether; United States; A distancia; USD 140.000 - 168.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Stock options

Employer-paid healthcare

Remote-first culture

Monthly stipend for tools & internet

Flexible time off

Parental leave

Professional growth opportunities

Collaborative culture

Descripción de la vacante

Jobgether is partnering with a leading tech company to fill a Senior Growth Operations Manager role in the United States. You will architect and scale the marketing technology stack, build data-driven growth workflows, and drive AI-powered automation across Growth, Sales, and Marketing teams.

You will lead complex integrations, data modeling, and predictive analytics to improve targeting and performance. This remote-first opportunity supports cross-functional collaboration and strategic impact

Formación

• 6+ years in Marketing Operations or Growth within B2B SaaS, cybersecurity, or infra tech.
• Led cross-functional initiatives and mentored teams in fast-growth settings.
• Strong expertise in marketing automation and CRM platforms, especially HubSpot and Salesforce.
• Ability to design and manage complex integrations and scalable architectures.
• Advanced SQL and data modeling in cloud warehouses like BigQuery.
• Proficiency in Python or JavaScript for production-grade scripts and integrations.
• Experience with lead scoring, intent data, and enrichment systems, plus predictive modeling concepts.

Responsabilidades

• Architect and optimize GTM tech stack for seamless platform integration (HubSpot, Salesforce, Clay, Hightouch, BigQuery).
• Design scalable data models, governance standards, and data quality controls.
• Create reusable growth workflows with ABM and Business Development teams.
• Own data models for accounts and contacts, scoring, intent, and enrichment.
• Collaborate with Data to develop predictive models and growth strategies.
• Develop AI-powered agents and LLM-driven workflows for automation and orchestration.
• Evaluate new AI tech and establish adoption standards across operations.
• Improve attribution, measurement, and reporting with Omni and BigQuery.
• Identify data gaps and risks; translate insights into actionable improvements.
• Provide technical guidance and mentorship to ensure scalable execution.

Conocimientos

GTM architecture

HubSpot

Salesforce

BigQuery

Python/JS

SQL

AI workflows

Data modeling

Stakeholder mgmt

Mentoring

Herramientas

Clay

Hightouch

LeanData

REST APIs

Descripción del empleo

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Growth Operations Manager based in the United States. Join an innovative, fast-growing technology environment focused on strengthening software security and helping organizations build and operate with confidence. As a Senior Growth Operations Manager, you will play a strategic role in designing and optimizing the systems, data infrastructure, and workflows that power the go-to-market organization. You will take ownership of critical growth operations initiatives, architect the marketing technology ecosystem, and establish scalable processes that support business performance. Working closely with teams across Growth, Sales, Marketing, Business Development, Revenue Operations, and Data, you will drive alignment and operational excellence. You will also leverage AI-powered tools, automation, and advanced analytics to improve efficiency and decision-making. This is an exciting opportunity for a hands‑on technical leader who enjoys building solutions, influencing strategy, and shaping the future of growth operations.

Accountabilities

• Lead the architecture and optimization of the go-to-market technology stack, ensuring seamless integration between platforms such as HubSpot, Salesforce, Clay, Hightouch, and BigQuery.
• Design scalable data models, integration frameworks, and governance standards, including naming conventions, documentation, monitoring, and quality controls.
• Build reusable marketing and growth workflows in collaboration with Growth, Account-Based Marketing (ABM), and Business Development teams, including lead lifecycle management, routing, and automated handoffs.
• Own the architecture of account and contact data models, scoring frameworks, intent signals, and enrichment systems to ensure reliable and actionable CRM data.
• Partner with Data teams to develop and improve predictive models, supporting accurate targeting, prioritization, and growth strategies.
• Develop and implement AI-powered agents and LLM-driven workflows for research, data enrichment, automation, and operational orchestration.
• Evaluate emerging AI technologies and establish best practices and adoption standards across the operations team.
• Collaborate with Revenue Operations and Data teams to strengthen attribution, predictive measurement, and performance reporting through tools such as Omni and BigQuery.
• Identify operational inefficiencies, data gaps, and potential business risks, translating insights into actionable improvements and communicating them to relevant stakeholders.
• Provide technical guidance, mentor colleagues, and review operational solutions to ensure consistency, scalability, and high-quality execution.

Requirements

• At least 6 years of experience in Marketing Operations within a B2B SaaS, cybersecurity, or infrastructure technology environment.
• Demonstrated experience leading complex, cross-functional initiatives and mentoring team members in fast‑paced, high‑growth organizations.
• Advanced expertise in marketing automation and CRM platforms, particularly HubSpot and Salesforce, as well as lead routing solutions such as LeanData or equivalent tools.
• Strong technical specialization in one or more areas of the marketing technology stack, with the ability to design and manage complex integrations and scalable architectures.
• Advanced SQL skills and hands‑on experience with data modeling in cloud data warehouses such as BigQuery.
• Proficiency in Python or JavaScript, including the ability to develop production‑quality scripts and integrations using REST APIs.
• Experience designing and managing lead scoring, intent data, and enrichment systems, with a solid understanding of predictive modeling concepts and evaluation methods.
• A strong AI‑oriented mindset, with practical experience building agents, automations, and workflows using tools such as Claude Code, Cursor, and Clay.
• Ability to independently scope projects, evaluate technical options and trade‑offs, build solutions, and deliver results without relying exclusively on traditional development backlogs.
• Excellent communication, stakeholder management, problem‑solving, and collaboration skills, with the ability to influence teams across multiple business functions.

Nice To Have

• Experience supporting product‑led growth or developer‑focused go‑to‑market strategies alongside enterprise sales.
• Familiarity with dbt or similar data transformation frameworks.
• Experience developing internal tools and custom solutions beyond standard integrations between existing platforms.
• Background building Account‑Based Marketing (ABM) infrastructure, including intent data capabilities and account‑level performance reporting.
• Curiosity, adaptability, and a willingness to explore new technologies and continuously improve existing processes.

Benefits

• Competitive Compensation: Annual base salary ranging from $140,000 to $167,500 USD.
• Equity Opportunities: Stock options granted upon hiring and promotion, with opportunities to participate in secondary offerings and an extended 10‑year exercise window.
• Comprehensive Healthcare: 100% employer‑paid medical, dental, and vision insurance premiums for employees and their dependents.
• Remote‑First Culture: Fully remote working environment with opportunities to connect through team meetups and twice‑yearly destination summits.
• Monthly Stipend: Financial support for coworking spaces, phone, and internet expenses.
• Flexible Time Off: Generous, flexible paid time off to support work‑life balance and personal well‑being.
• Paid Parental Leave: 18 weeks for birthing parents and 12 weeks for non‑birthing parents, with flexible usage throughout the child’s first year.
• Professional Growth: Opportunities to work with advanced technologies, influence strategic initiatives, and develop expertise in AI‑driven growth operations.
• Collaborative Culture: A transparent, supportive environment that values intentional action, customer focus, trust, continuous improvement, and teamwork.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!