Product Marketing Lead

Location: Los Angeles, CA; hybrid employment model with in-office presence and work from home. Participation in in-person trainings, off-sites, volunteer days, and team-building activities is required. The role is near offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.

Salary: $135,000–$175,000 annualized, potentially higher based on proficiency level and geographic location.

Company

hirify.global operates a neighborhood network connecting neighbors, public agencies, and businesses across more than 350,000 neighborhoods in 11 countries.

What you will do

• Partner with Finance & Strategy and Product Development leads to identify and solve analytical problems that influence the product roadmap and key performance indicators.
• Deliver data insights through dashboards, self-serve reporting, memos, and presentations; identify trends, discrepancies, and product opportunities and provide recommendations to senior management.
• Lead part of the quarterly outlook process for forecasting user growth, neighbor engagement, and revenue opportunities for the monetization team.
• Support weekly performance tracking and business operations reporting, ensuring accuracy and timeliness.
• Manage the analytics tooling lifecycle, including metric definition, coding, automation, optimization, and debugging in partnership with Analytics Engineering.
• Partner with data science, product, and engineering teams to improve data robustness, build relationships, and participate in in-person company events.

Requirements

• 2–6 years of relevant experience in analytical or strategic roles such as investment banking, consulting, business operations, or analytics at a fast-paced technology company.
• Excellent written and oral communication skills, including the ability to communicate complex topics to stakeholders from associate to C-suite level.
• Experience formulating, running, and communicating complex analyses with strategic business impact, including time-series analysis, cohort retention studies, and forecasting.
• Highly analytical and inquisitive working style with strong attention to detail.
• Curiosity, self-starting behavior, comfort with ambiguity and autonomy, and the ability to connect detailed data questions with broader business and product-development context.
• Working knowledge of Python and common scientific computing and data science packages, including NumPy, pandas, and scikit-learn.
• It is acceptable not to meet every requirement; additional relevant experience may be described in a cover letter.

Nice to have

• Advanced degree focused on Business, Applied Statistics, Data Science, or a similar field.
• Knowledge of A/B testing, including statistical techniques, interaction effects, and recommendations for Product Development partners.
• Experience acting as or working with a business partner within a product group.
• Experience with statistical modeling and machine learning methods, tools, and packages.
• Experience with user-generated content, social or community-based products, small-business advertising, or auction systems.
• Experience with NLP, sentiment analysis, or other large text-classification models.
• Experience partnering with qualitative research teams to combine analytics findings with user feedback and translate feedback into quantitative metrics.
• Expertise in testing and evaluating network effects.
• BI or dashboarding experience, including Looker, is useful.

Culture & Benefits

• AI-first work environment with active use of tools such as Claude, Gemini, ChatGPT, and Glean.
• Hybrid work combining office presence and work from home.
• Meaningful equity grant with quarterly vesting; the first vest date is within three months of the start date.
• Multiple health plan options, including a 100% covered employee-only plan option.
• OneMedical membership for concierge care.
• Inclusive workplace focused on strengthening local communities and reflecting the diversity of the neighbors served.