Compensation: TBD, based on education, experience, role fit, startup needs, and interview process.
Job summary
As a Marketing Analytics Manager, you will support one or more startups connected to Metasoft Capital by helping founders turn early ambition into practical execution. This role is built for remote startup environments where priorities can change quickly, information may be incomplete, and useful work depends on clear writing, steady ownership, and good judgment.
The role focuses on the core responsibilities described for this role. You may work with founders, product teams, technical teams, operations, customers, partners, or investors depending on the startup assignment. The goal is to help the company build and operate marketing platforms, automation systems, customer data tools, analytics, lifecycle programs, and revenue operations, while building habits that make the team more reliable as it grows.
Core responsibilities
- Own day-to-day work connected to this function, including work that leads measurement frameworks, attribution strategy, performance reporting, and business insights, keeping priorities clear and progress visible.
- Work closely with founders, product, engineering, operations, customer-facing teams, partners, or advisors depending on the startup's needs.
- Create clear notes, requirements, decisions, checklists, documentation, or reports so work does not depend on memory or guesswork.
- Identify risks, dependencies, tradeoffs, and practical next steps before small problems become expensive startup mistakes.
- Help the startup move from ideas and experiments toward usable systems, measurable traction, and durable operating habits.
- Translate marketing, sales, customer success, and data needs into clear platform workflows, integrations, reporting structures, or lifecycle journeys.
- Improve data quality, segmentation, attribution, automation logic, campaign operations, and handoffs across the revenue funnel.
- Work with growth, sales, product, analytics, engineering, and leadership teams to make marketing systems more useful and less confusing.
- Document processes, naming conventions, data definitions, campaign workflows, governance rules, and performance reporting.
- Lead planning conversations, translate strategy into practical work, and help less-experienced teammates understand what good execution looks like.
- Create simple operating rhythms, dashboards, or decision documents so leadership can see progress without micromanaging the team.
- Turn messy information into clear analysis, written findings, dashboards, recommendations, or experiments that help the startup make better decisions.
Education and experience requirements
- Education or experience in marketing, marketing operations, analytics, CRM, revenue operations, data engineering, product, or equivalent MarTech work is helpful.
- Experience with CRM, CDP, marketing automation, email platforms, analytics, attribution, ad platforms, SEO tools, or lifecycle systems is valuable.
- Ability to connect customer behavior, campaign execution, data structure, and business outcomes in a practical way.
- Strong documentation, process thinking, experimentation discipline, and comfort working with messy startup data are important.
- Understanding of privacy, consent, deliverability, customer trust, and responsible use of marketing data is helpful.
- Candidates should be ready to share examples of relevant work, projects, portfolios, case studies, writing samples, code samples, dashboards, campaigns, processes, or other evidence of ability when applicable.
Helpful skills and tools
- CRM platforms, marketing automation tools, CDPs, analytics tools, ad platforms, email systems, data warehouses, attribution tools, SEO/content platforms, and RevOps dashboards.
- Relevant hands-on experience, training, or strong practical interest in martech & marketing technology work and startup environments.
- Ability to communicate clearly with technical, non-technical, clinical, creative, commercial, or executive teammates as needed.
- Strong ownership mindset, reliability in remote work, and comfort working with incomplete information.
- Good judgment around quality, speed, cost, security, privacy, compliance, ethics, and customer impact.
- Curiosity, humility, and willingness to keep learning as the startup changes direction, grows, or enters new markets.
- Clear written communication, organized files, practical documentation, and reliable follow-through are important because most teams operate remotely.
Remote startup working style
- Work asynchronously when possible, document decisions, and keep teammates updated on progress, blockers, risks, and next steps.
- Be comfortable with early-stage ambiguity, changing priorities, limited resources, and the need to learn quickly from customers and teammates.
- Use sound judgment to decide when to move fast, when to ask for help, when to slow down, and when to protect quality or trust.
- Respect confidentiality, founder context, customer information, and the trust required to support early-stage companies.
Success in this role looks like
- Successful work produces cleaner customer data, stronger automation, better attribution, higher conversion, improved retention, more efficient growth, and clearer marketing-to-revenue reporting.
- Marketing systems become easier to manage, measure, and improve.
- Customer data is cleaner and more useful for personalization, lifecycle, and revenue decisions.
- The startup makes growth decisions from evidence, not scattered channel activity.
- The startup team can point to clearer execution, better documentation, stronger collaboration, and practical improvements connected to this role.
How to apply
- Email your resume/CV to Jobs@MetasoftCapital.com and include JID: 2494230 in the email subject line and at the beginning of your message.
- Use a subject line similar to: JID: 2494230 - Marketing Analytics Manager - Resume/CV.
- Briefly explain why this role, a remote startup environment, and the relevant industry or function fit your experience, interests, and learning goals.
- If useful for the role, include links to your portfolio, GitHub, LinkedIn, website, writing samples, case studies, dashboards, design files, campaigns, or other work examples.