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Growth Marketer Resume Example

Growth Marketer resume example with stage-fit calibration, experimentation rigor, and PLG-specific patterns. Built for 2026 hiring panels at Series A-D startups.

Last Updated: 2026-05-06 | Reading Time: 6 min

Written by: Emily Carter, Senior Growth/Performance Marketing Director · 12 years B2B SaaS + DTC

Quick Stats

Average Salary
$60,000 - $250,000
Job Growth
6% projected through 2034 (BLS Marketing Managers proxy)
Top Hiring Companies
HubSpot, Notion, Figma

Summary

A 2026 growth marketing resume reads as a record of named experiments, owned channels, and revenue-chained outcomes — not a campaign-list. The Bureau of Labor Statistics does not track "growth marketer" as a distinct SOC; the closest occupation is Marketing Managers (SOC 11-2021), which BLS reports at 407,000 employed with a $161,030 median annual wage (May 2024) and 6% projected growth through 2034. ZipRecruiter (April 2026) reports Growth Marketing Managers at ~$112K average and Heads of Growth at ~$187K. Hiring panels at Series A-D startups screen explicitly for stage-fit (Andrew Chen, Lenny's Newsletter), experimentation cadence with statistical rigor, and AI-tooling fluency that adds 15-22% to base. Resumes leading with vanity metrics (followers, page views, raw CTR) get rejected; resumes leading with hypothesis → experiment → revenue impact get interviews.

Growth Marketer Job Market Overview

BLS Median Salary
$161,030
Total Employed (US)
407,000
Annual Job Openings
36,400
Competition Level
high

Top-Paying States for Growth Marketers

New York$190,230
California$186,550
New Jersey$184,820
Colorado$177,110
Delaware$175,120

Typical education: Bachelor's degree in marketing, business, behavioral economics, or related field | Source: U.S. Bureau of Labor Statistics (Marketing Managers proxy, SOC 11-2021); ZipRecruiter April 2026 for growth-specific bands

Growth Marketer Hiring Landscape in 2026

Growth marketing in 2026 is a stage-fit discipline first and a tool-stack discipline second. Hiring panels at Series A-D startups screen explicitly for stage-fit (Andrew Chen / Lenny's Newsletter), experimentation cadence with statistical rigor, and AI-tooling fluency that adds 15-22% to base. The 2025-2026 marketing-team layoff wave (Salesforce ~1,000 cuts including marketing; Disney ~1,000 cuts primarily marketing; ~30K AI-attributed cuts industry-wide per Crunchbase / TICE News) has put a large pool of mid-career growth marketers back into the market — hiring managers see layoff narrative often, and the failure mode is candidates who hide it. Attribution decay (post-iOS, cookie deprecation) has shifted the operating norm to dual-model attribution: multi-touch for tactical + Marketing Mix Modeling for strategic, reconciled quarterly. Resumes mentioning only one model read as 2022-stale. Wrong-stage resume gets rejected for "not enough scale" or "too senior for our stage" within the first read — the dominant rejection reason in growth-team hiring per Lenny's Newsletter.

What Growth Marketer Hiring Managers Actually Look For

Sourced from public hiring-manager surveys, recruiter editorial, and practitioner commentary — not invented.

The bullshit test demands a "stood up a new channel from scratch" credential. "A hard requirement is that they've stood up a new growth channel from scratch before." "Founders are trying to abdicate responsibility for their growth efforts, and hoping that a magical hire solves everything." "Early startups need to move the needle each week, growing 5 or 10% week-over-week, and no amount of PowerPoint can do that." The pattern: hiring panels screen aggressively for "PowerPoint-fluent but cannot ship" candidates. Resume must show specific channel built from zero with the specific work called out.

Andrew Chen — What to look for when you're hiring a Head of Growth

Hire a builder, not a leader — stage-fit is the dominant rejection reason. "You cannot outsource your initial growth ideas to new hires." "Hire a builder, not a leader. Growth leaders need 6-12 months to understand your specific business context. Instead, recruit an Acquisition PM or Activation PM — someone with tactical execution skills in a focused domain who can build processes from scratch." "Match your hire to your current friction point. Hiring a marketer for a product-led company will likely underperform." Two of three first-growth-hires fail on stage-mismatch, not skill quality. Resume must signal stage-fit and motion-fit (PLG vs. sales-led vs. marketing-led; pre-PMF vs. scaling) explicitly per role.

Lenny's Newsletter (Elena Verna & Andrea Wang) — How to hire your first growth team

Frameworks beat tool-stack length. "Becoming an elite growth marketer has nothing to do with the specific hammer in your toolkit and everything to do with mastering the emerging skills, frameworks, and thought processes that enable you to solve new problems, repeatedly." Tool-stack length is anti-signal; framework fluency (AARRR, ICE/RICE, jobs-to-be-done, North-Star metric design, sequential A/B testing) is the signal. Skills section: 3-5 frameworks plus 3-5 admin-level tools, not a 30-tool laundry list.

Brian Balfour — 7 Principles To Mastering Growth

Experimentation rigor + data analysis sit above acquisition tactics in the Hierarchy of Skills. The 4-tier framework (foundational → product → acquisition → monetization) anchors on 7 foundational skills: customer empathy, data analysis, experimental process, funnel optimization, copywriting, visual design, basic development. Reforge's commentary: candidates skip foundational skills (especially data analysis + experimental process) and jump straight to acquisition tactics; results in "tactical executor, not strategic builder" rejection. Every senior candidate needs at least one bullet signaling data analysis depth and one signaling experimentation rigor.

Reforge — Growth Marketer's Hierarchy of Skills

Pirate-metrics fluency is the disambiguation between growth marketers and marketing managers. The framework's value to a hiring panel is that it is checkable. A candidate who claims AARRR fluency should be able to name which stage they have owned, what activation-metric definition they shipped, what retention curves they monitored, what referral coefficient they engineered, what revenue chain they attributed against. Generic "growth strategy" claims fail; specific stage-naming with metric-naming passes.

Amplitude — AARRR Pirate Metrics Framework

Self-starter, ambiguity-tolerance, SQL fluency. Four operating-style filters HubSpot's growth-marketing screen tests: self-starter with autonomy preference, thrives in ambiguity, self-improvement obsession, data fluency including SQL. Behavioral-signal language ("stood up program from zero", "built first version with no prior infrastructure") is the cultural-fit proxy. SQL appears in the skills section of every senior growth-marketing resume that survives a HubSpot-level screen.

Reforge — How HubSpot Hires Growth Marketers

Growth Marketer Resume Examples

4 role-specific resume examples covering different career stages — each with role-specific bullets and an honest "why this works" breakdown grounded in 2026 hiring-manager practice.

Growth Marketer Resume Example: Entry-Level / Pivot Growth Marketer (Marketing Manager → Growth)

Entry-Level
268 words

Scenario: A marketing manager or performance marketer with 2-4 years of channel experience pivoting into a growth seat at a Series A-B SaaS. Owns paid social or paid search at a marketing-led company, has shipped lifecycle work, has run enough A/B tests to write hypothesis-driven bullets, but has not yet led experimentation rigor at the Statsig/GrowthBook level. Applying to a 30-person Series A B2B SaaS where the JD says "growth marketer" and the unwritten requirement is "ship one new channel from scratch in the first 90 days."

Priya Venkatesan

Growth Marketer (Marketing Manager → Growth)

Oakland, CA • (415) 555-0249 • priya.venkatesan@email.com • linkedin.com/in/priya-venkatesan

Professional Summary

Marketing Manager with 3 years of paid acquisition + lifecycle experience pivoting into growth. Owned $620K annual paid social + email program at a 60-person B2B SaaS. Ran 28 A/B tests in 2025 (8 winners, 4 losses shipped to inform v2, $410K incremental ARR). Currently completing Reforge Growth Series + CXL conversion-optimization minidegree.

Experience

Marketing Manager·Glyph Analytics·Oakland, CA
Mar 2024 – Present
  • Owned $620K annual paid social + email budget across Meta, LinkedIn, and Customer.io lifecycle. Accountable for blended CAC ($210 target) and trial-to-paid conversion (12% target) at a 60-person Series A B2B SaaS.
  • Stood up Customer.io lifecycle from scratch — 14 onboarding emails segmented by ICP firmographic + activation-event behavior. Trial-to-paid moved 9% to 16% over two quarters; $190K incremental ARR (cohort-modeled, 90-day window).
  • Ran 28 A/B tests in 2025 with documented hypotheses. Eight winners shipped (e.g., gated-tooltip onboarding lifted Day-7 activation 41% to 53%, n=4,200, p<0.05). Killed four tests pre-launch via guardrail violations.
  • Cut LinkedIn paid spend ($85K annual) after first-party MMM showed 0.4x incrementality vs. last-touch attribution; redirected to programmatic-SEO content (now 22% of organic trial signups in first 6 months).
Marketing Specialist·Glyph Analytics·Oakland, CA
Aug 2022 – Mar 2024
  • Managed $310K Meta + Google Ads budget; reduced blended CPL $108 to $58 over 5 quarters via creative pipeline rebuild + ICP audience layering.
  • Built first version of Glyph's customer-call-to-creative workflow; 3 of top 5 highest-CTR ads in 2023 were direct lifts from real customer interview language.
Marketing Coordinator·ParkerKettering Agency·San Francisco, CA
Jul 2021 – Aug 2022
  • Supported $1.2M aggregate paid budget across 6 DTC and SaaS clients; produced quarterly attribution reporting for VP of Strategy.

Education

B.A., Communications·UC Berkeley
2021

Skills

Technical: Customer.io (admin-level) · HubSpot · Meta Ads Manager · LinkedIn Campaign Manager · GA4 · Mixpanel · Looker (basic SQL) · GrowthBook (currently learning) · A/B testing with documented hypothesis framing

Professional: Pivot-aware framing (Marketing Manager → Growth) · Hypothesis-driven experimentation · ICP audience layering · Lifecycle program ownership

Languages: English (native)

Certifications

  • HubSpot Inbound Marketing · HubSpot
  • Reforge Growth Series (in progress, completing Sep 2026) · Reforge
  • CXL Conversion Optimization Minidegree · CXL Institute
  • Klaviyo Product Certification · Klaviyo

Why this resume works

The summary names the pivot honestly. "Marketing Manager pivoting into growth" is more credible than padding the resume with "growth" wherever "marketing" used to appear. Hiring panels at Series A SaaS read pivot-aware language as self-aware rather than overreach. The experimentation cadence bullet is calibrated for 2026. Test count alone is anti-signal (Andrew Chen "bullshit test"); test count paired with win-rate, ship-rate, and revenue chain is the format Reforge and Brian Balfour flag as the rigor signal. The killed-LinkedIn-spend bullet uses MMM-derived incrementality (0.4x) as rationale, pairing the kill with a concrete redirect and a measurable downstream outcome. Methodology-driven kills outperform vibes-based kills. The credentials section names Reforge Growth Series and CXL with completion status. 2026 hiring panels at growth-shaped companies actively reward both credentials; in-progress is more honest than implied completion. The Klaviyo cert kept "for DTC application optionality" signals the candidate understands the resume is a portfolio of optionality, which reads as senior-thinking even at entry level.

Growth Marketer Resume Example: Mid-Level Growth Marketing Manager, B2B SaaS (Series A/B)

Mid-Level
322 words

Scenario: A 4-5 year operator at the Growth Marketing Manager level at a Series A or early Series B B2B SaaS (20-100 people, $5-25M ARR). Owns full-funnel pipeline ownership, has rebuilt attribution at least once, has shipped meaningful experimentation rigor with Statsig or GrowthBook, accountable to a head of marketing or directly to the founder for the marketing-originated pipeline number. Applying to a Series B SaaS with sales-led + PLG-hybrid motion. Bullets need to read like the candidate has been in the room when the CFO interrogates the marketing number.

Daniel Friedrich

Growth Marketing Manager

Brooklyn, NY(646) 555-0188daniel.friedrich@email.comlinkedin.com/in/daniel-friedrich

Professional Summary

Growth Marketing Manager, 4.5 years experience, currently owning $1.6M annual demand-gen + lifecycle budget at a 70-person Series B B2B SaaS ($18M ARR). Rebuilt attribution from last-touch to position-based 40-20-40 reconciled with marketing mix modeling; shipped 47 A/B tests in 2025 via Statsig sequential testing (12 winners, $1.4M incremental ARR). Stood up the company's first PLG self-serve funnel alongside the existing sales-led motion — self-serve now contributes 18% of net-new ARR.

Experience

Growth Marketing Manager·Pinion Workflows·New York, NY
Feb 2024 – Present
  • Own $1.6M annual budget itemized across paid search ($420K), paid social ($380K), content syndication ($180K), partnerships ($240K), Customer.io lifecycle ($120K), SEO content production ($260K). Accountable to the CRO for marketing-sourced pipeline ($8.4M target FY26) and to the head of product for trial-to-paid conversion at a 70-person Series B B2B SaaS ($18M ARR).
  • Rebuilt attribution from last-touch (Salesforce-default) to position-based 40-20-40 in HubSpot, reconciled quarterly against an in-house Marketing Mix Model on Looker + dbt. Reconciliation surfaced a $2.8M overstatement in last-touch-attributed pipeline; corrected number is the one CFO presents to the board.
  • Stood up Pinion's first PLG self-serve trial (Reverse Trial: 14 days full-feature, then auto-downgrade to limited free with upgrade prompts). Built activation-metric definition with product (3 in-product actions in first session = activated PQL); wired Customer.io + Hightouch reverse-ETL for behavioral lifecycle. Self-serve now 18% of net-new ARR at 22% trial-to-paid conversion.
  • Shipped 47 A/B tests in 2025 via Statsig sequential testing (MDE 5%, power 0.8). 12 winners, 9 losses informed v2, 6 killed pre-completion. Best winner: gated-tooltip onboarding lifted Day-7 activation 22pp (n=12,000, p<0.01), ~$420K incremental ARR over 90-day window.
  • Killed Twitter/X paid spend ($110K annual) after Statsig holdout test showed 0.18x incrementality on attributed pipeline; redirected $80K into ABM playbook for top 50 named accounts (now 24% of net-new logo pipeline at 4.2x pipeline-to-spend) and $30K into customer-marketing for expansion.
Marketing Manager (Demand Gen lead)·Lattix Software·New York, NY
Aug 2021 – Jan 2024
  • Owned $720K paid acquisition budget; reduced blended CAC $340 to $172 over 6 quarters via ICP audience rebuild + creative pipeline overhaul.
  • Built HubSpot lead-scoring v2 with RevOps lead — moved from points-based to behavioral-fit composite; reduced sales-rejected MQLs 32% to 11% within two quarters.
  • Ran company's first 18 A/B tests (no prior experimentation infrastructure); 5 winners shipped, lifted blended trial-to-paid 7pp.
Marketing Specialist·Plein Studio (DTC creative agency)·Brooklyn, NY
Jun 2020 – Aug 2021
  • Supported $2.4M aggregate paid social across 9 DTC clients; average client-side ROAS lift 1.5x in first 90 days.

Education

B.S., Marketing & Behavioral Economics·NYU Stern
2020

Skills

Technical: HubSpot Marketing Hub (admin) · Salesforce · Statsig (sequential testing, holdout design) · GrowthBook (familiar) · Customer.io + Hightouch reverse-ETL · Looker + dbt · Position-based + MMM dual-attribution reconciliation · PLG funnel design (Reverse Trial / Freemium / activation-metric definition) · Mixpanel · Amplitude · Basic SQL

Professional: Channel-mix decision-making · CFO-room reporting on marketing-sourced pipeline · PLG + sales-led hybrid motion design · AI tooling: daily Claude user for SEO content draft → human edit pipeline (60% reduction in production cost while holding organic-attributed-ARR per article flat); ChatGPT for ad-copy variant generation feeding Statsig tests

Languages: English (native)

Certifications

  • Reforge Growth Series · Reforge
  • Reforge Experimentation Testing & Analysis · Reforge
  • HubSpot Marketing Hub · HubSpot
  • Pavilion Demand Gen · Pavilion
  • Statsig Certified Practitioner · Statsig

Why this resume works

Itemized rather than aggregated budget. "$1.6M aggregate" is recitable; "$420K paid search / $380K paid social / $180K content syndication / $240K partnerships / $120K Customer.io / $260K SEO" is checkable in interview and signals the candidate has actually owned channel-mix decisions. Attribution-rebuild bullet pairs methodology with organizational outcome. Position-based 40-20-40 reconciled with MMM is the operating norm in 2026; surfacing a $2.8M overstatement and getting the CFO to adopt the corrected number is the senior-thinking move competitor templates never include because it requires real CFO-room experience. PLG self-serve bullet is the differentiator versus 99% of mid-level growth resumes on the SERP. Names the specific PLG pattern (Reverse Trial), the activation-metric co-built with product, the lifecycle stack (Customer.io + Hightouch reverse-ETL), and ties to a board-cited revenue outcome. Experimentation bullet uses Statsig sequential testing with named statistical parameters (MDE 5%, power 0.8) and breaks the test inventory into winners-shipped, losses-informed-v2, and killed-pre-completion — the framing Andrew Chen, Reforge, and Brian Balfour flag as the rigor signal. AI-tooling skills line names workflow + cost outcome, not "AI fluent" as a soft skill. The 2026 marketing-AI premium accrues to specificity ("60% production cost reduction while holding organic-attributed-ARR per article flat").

Growth Marketer Resume Example: Senior Growth Marketing Manager / Head of Growth Track, Scale-up

Senior
388 words

Scenario: An 8-year operator at Senior Growth Marketing Manager level (functional head adjacent) at a Series C scale-up SaaS (200-400 people, $40-80M ARR). Built a growth team from 2 to 6 reports, owns paid + lifecycle + programmatic SEO + partnerships, has killed a program with full strategic rationale, has shipped category-positioning work. Applying for Director of Growth or Head of Growth at a Series B/C company. Bullets read like the candidate has presented the marketing number at a board meeting.

Marcus Aldridge

Senior Growth Marketing Manager (Functional Head of Growth)

San Francisco, CA(415) 555-0721marcus.aldridge@email.comlinkedin.com/in/marcus-aldridge

Professional Summary

Senior Growth Marketing Manager (functional head) with 8 years experience and 4 years building Solenoid's growth function from 2-person team to 6-person org spanning paid acquisition, lifecycle, programmatic SEO, partnerships, and growth experimentation. Owned $5.4M annual budget and the marketing-sourced pipeline number presented to Solenoid's board quarterly. LTV:CAC at 4.6 (cohort-modeled). Built first internal MMM (Robyn) post-iOS rather than buying vendor product; shipped 134 A/B tests in 2025 with 38% win-rate. Killed Solenoid's flagship $620K-annual paid-influencer program after Statsig holdout confirmed 0.22x incrementality.

Experience

Senior Growth Marketing Manager (functional head of growth)·Solenoid·San Francisco, CA
Apr 2022 – Present
  • Joined as employee #84 at a 280-person Series C B2B SaaS ($54M ARR) with 2-person team and $1.6M flat budget; built to 6-person team across paid acquisition, lifecycle, programmatic SEO, partnerships, and growth experimentation, owning $5.4M annual budget. Hired 5 of 6 direct reports; 3 promoted internally in past 24 months.
  • Owned the marketing-sourced pipeline CFO presents quarterly to the board ($28M MS-pipeline FY25, $42M target FY26). LTV:CAC at 4.6 (cohort-modeled, not blended); CAC payback 14 months (B2B SaaS benchmark 18-24); marketing-influenced pipeline at 78% of net-new opportunity coverage.
  • Built Solenoid's first internal Marketing Mix Model using Robyn (open-source, R-based) reconciled monthly with HubSpot multi-touch attribution. Internal-build was the right call post-iOS — vendor MMM products at $80-160K annual were modeling against the same broken inputs. Reconciliation surfaced a $4.2M overstatement; corrected number is now the operating number.
  • Killed flagship $620K paid-influencer program after 90-day Statsig holdout confirmed 0.22x attributed-pipeline incrementality (program had been a 3-year founder favorite). Redirected $400K into programmatic-SEO content production (240 published pages, 38% of organic acquisition by Q4) and $220K into Customer.io lifecycle (now 28% of net-new expansion ARR).
  • Rebuilt category narrative from "workflow automation" (4-vendor undifferentiated category fight) to "operations intelligence" over 9 months with content + sales enablement + analyst-relations partnership. 32% of net-new logo pipeline now sourced from defensible category-leadership content; analyst share-of-voice in target category moved #4 to #2.
  • Shipped 134 A/B tests in 2025 (Statsig + Amplitude Experiment). 38% win-rate, 22% loss-but-shipped-v2, 40% killed pre-completion. Best win: lifecycle re-engagement redesigned around behavioral-event triggers lifted dormant-trial reactivation 18pp (n=24,000, p<0.001), ~$1.8M incremental ARR.
  • Owned Solenoid's first programmatic-SEO content factory (240 pages in 14 months; ChatGPT + Claude draft + human editorial review at $180/article fully-loaded vs. $1,400/article freelance baseline).
Growth Marketing Manager·Bridgewell Software·San Francisco, CA
Jul 2019 – Mar 2022
  • Owned $1.4M demand-gen budget at a Series B SaaS ($22M ARR). Marketing-influenced pipeline grew 3.4x ($4.8M to $16.2M) over 32 months while reducing blended CAC 41%.
  • Stood up Bridgewell's first lifecycle program (Customer.io + first-party data warehouse via dbt + Snowflake); program drove 24% of net-new expansion within 18 months.
  • Ran company's first 60+ A/B tests (no prior infrastructure); built the GrowthBook implementation that became standard tooling.
Marketing Manager·Trellic·Boston, MA
Aug 2017 – Jun 2019
  • First marketing hire at Trellic (early-stage, $4M ARR); built lead-gen function from zero; marketing-sourced pipeline grew $0 to $5.8M in 22 months. Trellic acquired by competitor in 2019.

Education

B.A., Economics·Tufts University
2017

Skills

Technical: Marketing Mix Modeling (Robyn, internal build) · Position-based + MMM dual-attribution · AARRR / Pirate Metrics fluency · ICE/RICE prioritization · North-Star metric design · Category positioning (Play Bigger / April Dunford influence) · HubSpot Marketing Hub (admin) · Salesforce · Customer.io + Hightouch + dbt · Statsig + Amplitude Experiment · Robyn (R) · Looker + Snowflake · Programmatic SEO at scale (Webflow + Sanity) · AI content production (ChatGPT, Claude, Mutiny for personalization)

Professional: Team building (hired 6 direct reports, 3 promoted internally) · Budget P&L up to $5.4M · Cohort LTV:CAC modeling · Board-level marketing-sourced pipeline reporting · Cross-functional category positioning (content + sales enablement + analyst relations)

Languages: English (native)

Certifications

  • Reforge Growth Series · Reforge
  • Reforge Experimentation Testing & Analysis · Reforge
  • Pavilion Marketing Operating System · Pavilion

Why this resume works

Team-build bullet is denominator-correct and pairs scale with retention. 84-person company / 2-person team / $1.6M budget → 6-person team / $5.4M budget; 3 of 6 reports promoted internally. The team is the artifact of senior growth work, not the spend. The killed-paid-influencer-program bullet is the strongest single sentence on the resume. $620K kill, named rationale (Statsig holdout, 0.22x incrementality), against a 3-year founder-favorite, paired with specific redirect and downstream outcome. Andrew Chen's "bullshit test" demands exactly this. The internal-MMM-build bullet shows the judgment senior growth panels recognize as scarce. Most candidates would buy the vendor product; the in-house Robyn build is the better-leverage decision and pairs naturally with the post-iOS attribution narrative. The category-narrative rebuild ("workflow automation" → "operations intelligence") shows market-positioning work that requires actual cross-functional scope. Forrester Wave-style #4 → #2 with 32% of net-new logo pipeline from category content is the analyst-relations + content + sales-enablement triangulation a Director interview will probe. The programmatic-SEO + AI-content bullet integrates the 2026 AI-tooling premium honestly. $180/article fully-loaded vs. $1,400/article freelance baseline is the calibration mark distinguishing "I use AI" from "I built a defensible cost-advantage moat with AI."

Growth Marketer Resume Example: PLG (Product-Led Growth) Marketer Specialty

Specialty
374 words

Scenario: A 5-year operator specialized in product-led growth at a freemium / Reverse Trial SaaS. Owns the activation → conversion funnel inside the product, has built viral loops, has wired in-product growth surfaces with the product team, lives inside the modern PLG stack: Mixpanel/Amplitude for analytics, Customer.io + Hightouch for behavioral lifecycle, Statsig or GrowthBook for in-product experimentation, Pendo for in-product nudges. Applying laterally to another PLG-shaped Series B/C SaaS. This is the page's primary moat — zero top-10 SERP results name PLG-specific work at the bullet level.

Anaya Kapoor

PLG Growth Marketer

San Francisco, CA(415) 555-0903anaya.kapoor@email.comlinkedin.com/in/anaya-kapoor

Professional Summary

PLG Growth Marketer with 5 years specializing in freemium funnel + Reverse Trial design at product-led SaaS. Currently own self-serve activation → conversion funnel at a 110-person Series B PLG SaaS ($24M ARR, 78% revenue from self-serve). Designed the Reverse Trial that lifted self-serve trial-to-paid 11% to 19% in two quarters; built a referral viral loop (k=0.42 in mature cohort) that now sources 14% of new free signups; ship in-product experiments via Statsig sequential testing in tight collaboration with product engineering. AARRR-fluent with North-Star metric ownership.

Experience

PLG Growth Marketer·Treadlight·San Francisco, CA
Mar 2023 – Present
  • Own the self-serve activation → conversion funnel at a 110-person Series B PLG SaaS ($24M ARR, 78% self-serve revenue): free-tier signup through Reverse Trial activation through paid upgrade. Accountable to head of product for activation rate (39% target — 3 in-product actions in first session) and to head of growth for trial-to-paid conversion (19% target).
  • Designed and shipped Treadlight's Reverse Trial in Q2 2024 (replacing a legacy 7-day free trial that auto-expired). Reverse Trial: full-feature for 14 days, then auto-downgrade to limited free tier with contextual upgrade prompts triggered by feature-attempt events. Trial-to-paid moved 11% to 19% in two quarters (n=18,000 baseline / n=21,000 test, p<0.001). Highest single growth-team initiative ROI of FY24 per board reporting.
  • Built referral viral loop: in-product invitation surface at moment of high-intent action + double-sided incentive (one month free for inviter and invitee on paid upgrade) + post-invite Customer.io nudges. Mature-cohort viral coefficient k=0.42 (anything above 0.3 is meaningfully viral per Andrew Chen / Reforge canon); 14% of new free signups now via referral, with referred cohort converting 22% trial-to-paid (vs. 19% blended — referrals convert 16% better).
  • Wired in-product growth surfaces with product engineering via Pendo + Customer.io + Hightouch reverse-ETL: upgrade prompts on feature-attempt events, contextual nudges on inactive-day-3, paywall placement experiments via Statsig. Pendo nudge-acceptance rate at 11% (industry benchmark 4-6%); upgrade prompt conversion at 4.2% (industry benchmark 1-2%).
  • Defined Treadlight's North-Star metric ("Weekly Engaged Teams" — teams of 2+ users completing 3+ in-app collaborative actions per week) in collaboration with product team; pulled marketing-team OKRs into alignment with product OKRs around the metric. North-Star moved 1,800 to 4,200 teams over 18 months; correlated 0.78 with month-over-month ARR growth.
  • Shipped 78 in-product A/B tests in 2025 via Statsig sequential testing (32 winners, 22 losses informing v2, 24 killed pre-completion). Best win: Day-3 inactive re-engagement email rebuild (segmented by feature-attempt history, copy generated via Claude with human editorial review, send-time optimized via Customer.io ML send-time) lifted dormant-trial reactivation 24pp (n=14,000, p<0.001), ~$680K incremental annualized self-serve revenue.
Growth Marketing Specialist·Hexcoil Software·San Francisco, CA
Jun 2021 – Feb 2023
  • Owned activation funnel from signup through Day-7 at a 50-person seed-stage PLG SaaS. Built first onboarding email sequence (Customer.io) and first in-product tooltip flow (Pendo); Day-7 activation moved 22% to 38% over 9 months.
  • Ran first 30 A/B tests in Hexcoil history; 11 winners shipped, including the gated-tooltip-onboarding pattern Hexcoil's product team adopted as default for all new feature releases.
Lifecycle Marketing Specialist·Klimperer Studio (DTC creative agency)·San Francisco, CA
Jul 2020 – Jun 2021
  • Ran lifecycle for 4 DTC clients in Klaviyo (skincare, home-goods); average client-side email-attributed revenue lift 28% in first 90 days.

Education

B.S., Cognitive Science·UC San Diego
2020

Skills

Technical: PLG patterns: Reverse Trial design, freemium funnel architecture, viral loop design (referral coefficient modeling) · In-product growth surfaces (upgrade prompts, paywalls, nudges) · Activation-metric definition + PQL (Product-Qualified Lead) scoring · AARRR / Pirate Metrics + North-Star metric design (Sean Ellis / Reforge canon) · Mixpanel + Amplitude (event taxonomy ownership) · Customer.io + Hightouch reverse-ETL · Statsig (in-product A/B + sequential testing) · Pendo (in-product nudges) · GrowthBook (familiar) · Segment · Looker (cohort analysis) · Basic SQL

Professional: Cross-functional collaboration with product engineering on in-product growth surfaces · Reforge Growth Series + Retention deep dives + Hooked (Eyal) habit-loop design · AI tooling: daily Claude for lifecycle copy generation feeding Statsig variant tests; Mutiny for in-product personalization (signed-in vs. signed-out copy variants); ChatGPT for first-draft onboarding-email production

Languages: English (native)

Certifications

  • Reforge Growth Series · Reforge
  • Reforge Retention + Engagement deep dive · Reforge
  • Reforge Experimentation Testing & Analysis · Reforge
  • Statsig Certified Practitioner · Statsig

Why this resume works

The Reverse Trial bullet does what no top-10 competitor page does — names the specific PLG pattern (Reverse Trial vs. legacy free trial), the implementation detail (full-feature 14 days → limited free with contextual upgrade prompts on feature-attempt events), and pairs the design call with a board-cited revenue outcome. The viral-loop bullet names the coefficient (k=0.42) and references the canonical threshold (Andrew Chen / Reforge: anything above 0.3 is meaningfully viral). The k-coefficient citation is the framework-fluency signal Brian Balfour and Reforge canon explicitly flag. The in-product growth surfaces bullet shows performance against named industry benchmarks rather than against an internal baseline (Pendo nudge-acceptance 11% vs. industry benchmark 4-6%; upgrade prompt conversion 4.2% vs. industry benchmark 1-2%). The calibration PLG hiring panels read as "shipped against the bar." The North-Star metric bullet sits at the top tier of Reforge's Hierarchy of Skills. Names the metric definition, cross-functional ownership (product + marketing OKR alignment), and correlation 0.78 with ARR — senior strategic work that can't be faked. AI tooling is genuinely PLG-flavored. Mutiny for in-product personalization on signed-in vs. signed-out variants is the right tool for the right surface; the lifecycle-copy + Statsig-variant pipeline ties AI production to experimentation rigor rather than to undifferentiated "I use ChatGPT."

How to Write a Growth Marketer Resume

Professional Summary

Lead with stage-fit (team size, ARR, motion), name the budget owned, and tie at least one experimentation outcome to revenue. Pivot candidates should name the pivot honestly in the summary line — hiring panels reward self-aware framing over keyword-padded "growth" claims.

Work Experience

Use the budget → decision → redirect → outcome cadence. Every experimentation bullet needs four elements: test count, win/loss/kill split, statistical specificity (MDE, power, n, p-value) for at least one named winner, and revenue chain. Vanity metrics (followers, page views, raw CTR) without downstream funnel and revenue tie are anti-signal.

Skills Section

Pick 3-5 frameworks (AARRR, ICE/RICE, North-Star metric design, sequential A/B testing, MMM dual-model attribution) plus 3-5 admin-level tools — not a 30-tool laundry list. Brian Balfour: tool-stack length is anti-signal; framework fluency is the signal. Name the niche stack (PLG vs DTC vs B2B SaaS) and avoid conflating them.

Action Verbs for Growth Marketers

OwnedShippedKilledRedirectedRebuiltStood upWiredValidatedArchitectedHiredPromotedReconciledCalibrated

Growth Marketer Resume Keywords

These keywords appear most frequently in Growth Marketer job descriptions. Include relevant ones in your resume:

Technical Keywords

AARRR / Pirate MetricsStatsig Sequential TestingPLG / Reverse TrialMarketing Mix ModelingPosition-Based AttributionActivation-Metric DefinitionViral Coefficient (k)PQL ScoringNorth-Star Metric DesignICE / RICE Prioritization

Industry Keywords

Product-Led GrowthB2B SaaS GrowthDTC Growth MarketingDemand GenerationLifecycle MarketingProgrammatic SEOAccount-Based MarketingPerformance Marketing

Tools & Technologies

HubSpotSalesforceStatsigGrowthBookCustomer.ioHightouchMixpanelAmplitudePendoMutinyLookerdbtRobyn (R)Triple WhaleNorthbeamKlaviyo

Common Growth Marketer Resume Mistakes to Avoid

Vanity metrics without revenue chain.

"Grew followers 5K → 50K", "Increased page views 200%", "Email open rate 38%", "Increased CTR 50%" all describe reach without business outcome (HubSpot, Databox, Aztek converge on this). Pair every reach metric with a downstream funnel metric and a revenue-or-pipeline tie. "Grew Twitter followers 10x to 50K, of which 12% converted to email subscribers; email cohort delivered $310K attributed pipeline."

Test count without win/loss/kill cadence.

"Ran 200 A/B tests" without naming wins, losses, ship-rate, or revenue impact is anti-signal — Andrew Chen's "bullshit test" specifically catches this. Fix: "Ran 47 A/B tests in 2025 (Statsig sequential testing, MDE 5%, power 0.8). 12 winners shipped, 9 losses informed v2, 6 killed pre-completion via guardrail violations. Best winner: gated-tooltip onboarding +22pp Day-7 activation (n=12K, p<0.01), $420K incremental ARR."

Story-arc gap across roles.

Disconnected jumps without narrative cause rejection at senior level. Order roles to show progressive scope expansion. If a role broke the arc (sabbatical, layoff, sideways move), pre-empt it in the summary line rather than letting the hiring panel infer the worst.

Stage-mismatch invisibility.

Senior at Series A bullets read like Series C bullets and vice versa. Two-thirds of first-growth-hire failures are stage-mismatch per Lenny's Newsletter. Name stage per role (team size, ARR, funding, motion). "Joined as employee #84 with 2-person team and $1.6M flat budget" is calibrated; "led growth at Solenoid" is not.

Generalist mush.

"Owned marketing", "led growth strategy", "developed multi-channel campaigns" with no specific channel or experiment anchor. Andrew Chen's "bullshit test" demands a "superpower channel." Pick the channel where you owned budget, ran experiments, shipped revenue chain — and lead with that. Generalist phrasing reads as junior padding.

AI-tooling absence (2026-specific).

No mention of AI tools reads as "not actually working in modern growth-marketing flows." The 15-22% AI-tooling premium accrues only to candidates who name the tool, the workflow, and the outcome. "Daily Claude user for SEO content draft → human edit pipeline; 60% production cost reduction while holding organic-attributed-ARR per article flat." Generic "AI-fluent" is anti-signal.

Tool-stack inflation without framework fluency.

A 30-tool laundry list is a credibility cost. Brian Balfour: tool-stack length is anti-signal; framework fluency is the signal. 3-5 frameworks (AARRR, ICE/RICE, North-Star metric design, sequential A/B testing, MMM dual-model attribution) plus 3-5 tools at admin-level depth — interviewable in 30 seconds, not recitable.

Vague growth claims.

"Grew email list" → rejected. "Increased subscribers 42% in 6 months through targeted lead magnets, generating $180K in attributed pipeline" → accepted. Format: [What you did] + [Specific mechanism] + [Audience-size denominator] + [Revenue chain]. All four pieces, every senior bullet.

Title mismatch with the JD (ATS rejection).

ATS keyword matching is literal. JD says "Growth Marketing Manager" and resume header says "Growth Marketer" → match score drops. Title-match the resume header to the JD's exact phrasing per application. Bullets stay; header shifts. The underlying operator could be Growth Marketing Manager, Senior Growth Marketing Manager, Head of Growth, Growth Lead, Acquisition PM, or (legacy) Growth Hacker — title-match per JD.

Experimentation absence on a "growth" resume.

A resume reading like a marketing-manager resume (channel ownership + campaign management, no testing) gets rejected for growth roles. At least one experimentation-rigor bullet per role from mid-level up. Statsig, GrowthBook, Optimizely, or Amplitude Experiment with named statistical parameters (MDE, power, sample size, p-value) and revenue chain.

Growth Marketer Resume FAQs

What does a growth marketer actually do (and how does the role differ from a marketing manager)?

A growth marketer owns the full AARRR funnel (Acquisition, Activation, Retention, Referral, Revenue) with experimentation rigor as primary discipline — hypothesis-driven testing, statistical significance vocabulary, win/loss/kill cadence — whereas a marketing manager typically owns specific channel programs (paid social, email, content) with campaign-management discipline as the primary lens. Reforge / Brian Balfour canon places growth marketing one tier deeper into the funnel: marketing managers think cost-per-lead and pipeline-influenced; growth marketers think activation rate, retention curves, viral coefficient. In B2B SaaS, marketing managers report into demand gen leadership; growth marketers often report into product or directly to the CEO at PLG companies.

What's the difference between a growth marketer and a performance marketer?

A performance marketer is paid-acquisition-coded — ROAS, blended CAC, paid-channel mix, creative-pipeline-against-paid-spend. A growth marketer is full-funnel-coded — AARRR ownership including activation, retention, referral. Performance marketers get hired at Series B/C scale-ups to optimize paid efficiency at scale; growth marketers get hired earlier (Series Seed/A) to build the entire funnel from zero. Performance marketers rarely own in-product nudges or activation-metric definition; growth marketers often do.

Is "growth hacker" the same as "growth marketer" in 2026?

"Growth hacker" is a degrading title in 2026 — 2014-2018-vintage scrappy-startup language. The underlying skill set (channel-experimentation + AARRR-fluency + tool-stack agility) is now called "growth marketer" or "growth marketing manager" at every Series A-D company. Use "growth hacking" only if the JD uses that title verbatim.

How do I become a growth marketer with no experience?

Five-step pivot path Series A-B panels recognize: (1) read Brian Balfour's Reforge essays and Andrew Chen's blog archive for framework fluency; (2) take Reforge Growth Series ($2K, 6 weeks), CXL Institute CRO minidegree ($300/mo, budget option), or Demand Curve; (3) ship side-project growth experiments and document them publicly with hypothesis-test-result-revenue chain; (4) get T-shaped depth in one channel (Balfour's "superpower channel"); (5) demonstrate the pivot from your current role with quantified results. Path: 6-12 months to a credible Series A-B IC seat.

What metrics should I put on a growth marketing resume (and which are vanity metrics to avoid)?

Include: CAC (blended + by channel), LTV:CAC (cohort-modeled if defensible, blended otherwise), CAC payback in months, activation rate with named definition, MQL-to-SQL conversion, NRR, pipeline-to-spend ratio, viral coefficient (k) for PLG, ROAS with incrementality calibration for DTC, ARR growth per dollar spent. Avoid as standalone (only acceptable when paired with downstream chain): impressions, page views, follower growth, email open rate (broken since iOS 15 Mail Privacy Protection), raw click-through rate without conversion-to-paid follow-on. Rule: revenue-chained > funnel-conversion > reach standalone.

How long should a growth marketing resume be, and what format works best?

One page for IC and entry-level (0-3 years). One to one-and-a-half pages for mid-level Growth Marketing Manager (3-6 years). Two pages max for Senior / Head of Growth (7+ years), only if every bullet earns its place. Three-page resumes get cut at the screening pass at 80%+ of growth-shaped companies. Format: reverse-chronological, single-column, plain text, PDF. ATS systems (Greenhouse, Lever, Ashby) parse single-column reliably. Avoid creative templates.

How do I make my growth marketing resume ATS-friendly?

Five rules: (a) title-match the resume header to the JD verbatim; (b) single-column layout; (c) plain-text bullets; (d) tool-name match the JD verbatim (if JD says "Mixpanel," do not write "Amplitude" — ATS keyword matching is literal); (e) submit PDF rather than DOCX (LinkedIn Easy Apply is universally PDF). Avoid header/footer text that ATS parsers may strip.

Should I use an objective or a summary?

Summary, every time. Objectives ("seeking a growth marketing role at a high-growth SaaS") are 2010-coded and read as junior-padding. A summary states scope + accountability + a quantified outcome in 3-4 lines. Summary states what you have done; objective states what you want — the first reads as senior, the second as junior.

What certifications should a growth marketer list (Reforge / CXL / Demand Curve)?

Three credentialing programs panels consistently weight: (1) Reforge Growth Series — strongest credential, ~$2K, 6-week cohort-based; Reforge Experimentation Testing & Analysis is the highest-leverage extension. (2) CXL Institute — CRO minidegree, ~$300/mo, strongest budget option. (3) Demand Curve — cohort + Slack alumni community. Pavilion Marketing Operating System at senior+; Statsig Certified Practitioner for experimentation rigor. Generic "Google Digital Marketing" or "HubSpot Inbound" add little signal at the growth-team level.

Which tools should I list on a growth marketing resume?

Pick 5-8 tools where you have admin-level depth, organize by function (analytics + attribution / experimentation / lifecycle + CRM / paid-acquisition / AI), only list tools you can pass an interview probe on. Modern PLG/B2B-SaaS stack: Mixpanel or Amplitude + GA4 + Looker + basic SQL; Statsig or GrowthBook; Customer.io + Hightouch reverse-ETL or HubSpot + Salesforce; Claude / ChatGPT / Mutiny. Do not list 30 tools.

How do I show experimentation on a resume?

Four elements per experimentation bullet: (a) test count with cadence ("47 A/B tests in 2025"); (b) win/loss/kill split ("12 winners, 9 losses informed v2, 6 killed pre-completion via guardrail violations"); (c) statistical specificity for at least one named winner ("MDE 5%, power 0.8, n=12,000, p<0.01"); (d) revenue chain on the named winner ("$420K incremental ARR over 90-day window"). All four. Without them, the bullet reads as marketing-manager-with-tests rather than as growth-marketer rigor.

How do I tailor my resume to early-stage vs. scale-up companies?

Stage-fit is the dominant rejection reason in growth-team hiring. Four stage tiers: Pre-PMF / Cold Start (1-15 people) — emphasize hands-on across stack, ICE/RICE prioritization, 0-to-1 channel construction. PMF Validation / Tipping Point (15-50 people) — single-channel deep expertise, owned activation lift, 20+ experiments. Scaling (50-300 people) — multi-channel ownership, $1M+ budget, 2-5 reports. Escape Velocity (300+ people) — $5M+ budget, 10+ reports, cross-functional growth strategy, exec-level reporting. Wrong-stage resume gets rejected within first read.

How do I write a growth marketing resume after a layoff?

Two options. (a) One-line note in the dates field: "Mar 2024 — Sep 2025 (role eliminated in Q3 2025 marketing-team reduction)." (b) Don't mention it on the resume; address in the cover letter. Hiring managers in 2026 see layoff narrative often — Salesforce, Disney, ~30K AI-attributed cuts. Failure mode is candidates who hide it. Success mode: own it ("here's what I shipped before; here's what I built during the gap — consulting, side-project, certification"). Use the gap as proof you can ship without a team.

How do I pivot from performance marketing / marketing manager to growth marketer?

Three resume moves: (a) frame the bridge skills explicitly in the summary — name the pivot ("Marketing Manager pivoting into growth, with 3 years of paid acquisition + lifecycle and 28 documented A/B tests"); (b) surface one experimentation bullet per role using growth-canon language (hypothesis → test → result → revenue chain); (c) add an in-progress credentialing line (Reforge Growth Series, CXL CRO minidegree) — signals the pivot is intentional.

Do PLG, DTC, and B2B SaaS growth resumes look different, and how important is AI tooling in 2026?

Yes — conflating them is a credibility cost. PLG resumes anchor on activation-metric definition, Reverse Trial / freemium funnel design, viral loop (k), in-product growth surfaces (Pendo, Mutiny), Customer.io + Hightouch lifecycle stack. DTC resumes anchor on blended ROAS calibrated against incrementality (Triple Whale, Northbeam), MER, contribution margin, AOV, Klaviyo + Postscript + Attentive lifecycle. B2B SaaS resumes anchor on MQL/SQL, ICP firmographic targeting, pipeline-to-spend, ABM motion, HubSpot / Salesforce / 6sense stack. Pick the niche that matches the JD; lead with that niche's tool stack. AI tooling is important, but only with specificity. The 15-22% AI-tooling premium accrues to candidates who name tool + workflow + outcome ("Daily Claude user for SEO content draft → human edit pipeline at $180/article fully-loaded vs. $1,400/article freelance baseline"). Generic "AI-fluent" claims are anti-signal in 2026.

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Sources & Further Reading

Every data point and insight on this page traces to a verified public source.

Last updated: 2026-05-06 | Written by Emily Carter, Senior Growth/Performance Marketing Director · 12 years B2B SaaS + DTC

Emily Carter has built and led marketing teams at 3 SaaS companies and 2 DTC brands. She has hired marketing managers across content, demand-gen, brand, and growth — and writes about marketing hiring practice.