About us

GigRadar is the market leader in our vertical: AI-powered lead generation on Upwork for agencies and freelancers. We remove the need for in-house bidding teams and multiply agencies' marketing efficiency.

A quick picture of who you'd be joining:

• Infrastructure trusted by 3,000+ Upwork agencies worldwide.

• 4.7/5 "Excellent" on Trustpilot, with 91% five-star reviews.

• 30K+ LinkedIn audience and a strong founder brand.

• Backed by a leading SalesTech/MarTech player (on our board)

• A product line of AI agents: Sardor AI (auto-bidder — finds relevant jobs, writes personalized cover letters, and submits within 15 minutes), Laziza AI (AI SDR — runs conversations, handles objections, books meetings), Upwork CRM, Upwork Analytics, and GigRadar Inbound.

We're not a day-one startup, and we're not a slow enterprise. We have a proven business model, a mature product, a fast-growing AI lineup, and clear leadership in our niche - confident operators growing fast.

And most importantly for this role: strong channels are already running.

• SEO — a dialed-in channel built entirely on AI agents.

• Email + LinkedIn outreach — its own team.

• Partner / referral network — its own team.

You're not here to patch holes but you're here to build a new amplifier vertical on top of a working machine. You won't have to prove the business works; it's been alive for years. You'll get to build your own growth engine and scale it. On top of that, we have a large library of ready material (case studies with numbers, Upwork Reports, community content, reviews) you can turn into powerful marketing.

The mission

Build and launch a new inbound-demand vertical that consistently generates 200–300 booked demos per month through organic content, an authoritative newsletter, and automated funnels from free products and automate it with AI, not manual labor or a bloated team.

You are a one-person orchestra.
Strategy, hypotheses, copy, landing pages, sequences, content, analytics — you run it yourself, using AI as your "extra hands" (design, copy, front-end, and research through AI tools, not contractors).

What you'll do

Lifecycle / CRM marketing (core)

• Build and monetize segmented work across the base: newsletter, unsubscribers and cooled-off leads, leads from the sales pipeline, leads from cold outreach. Different segments → different scoring → different sequences.

• Find the signals yourself and turn them into triggered sequences. Example signals: booked a demo but didn't show; read N newsletter issues; used a free product X times; sat in the pipeline for N days. These are examples — your job is to spot such signals and build flows around them.

• Reactivate the "sleeping" base (several thousand leads no longer worth active outreach but recoverable through sequences).

Newsletter as an asset

• Build a genuinely strong, authoritative newsletter — #1 in our space on building and scaling a business / lead gen on Upwork for service companies and freelancers. Not a "mailing list," but a media asset that grows the base and warms it toward demos.

Growth / organic

• Organic growth on LinkedIn and X (Twitter), plus experiments (Reddit, niche content, etc.): viral/value posts that feed funnels.

• Scale a network of established employee accounts (founder-led + team advocates) — not faceless farms, but real personal brands at varying stages that need to be systematized and amplified.

• Funnels from free products: lead magnet → email capture → nurture → auto-purchase of a paid product or a demo.

AI as the way you build it all "by hand"

• Build repeatable marketing systems on AI tools (Cowork, Codex, and similar): a content engine (agents pull data → assemble a content plan → turn it into posts), sequence generation, landing pages, calculators, banners — without pulling in developers or design studios.

• Mine our large internal content library into posts, funnels, and sequences — rather than inventing from scratch.

CRO / web / reputation

• Raise conversion on the site and landing pages (demo page, free-product pages).

• Work on brand reputation: systematic review responses (Trustpilot / G2, etc.), messaging, demo experience.

What we're looking for

We are looking for a marketer who applies AI brilliantly to marketing problems, not a developer placed on marketing.

• 3–5+ years in marketing, specifically in B2B SaaS for the US market.

• A strong foundation in conversion marketing: you crank conversion through meaning — audience pains and desires, purchase triggers, offer structure. That's your base, not just "having seen a lot."

• Proven cases with numbers: you personally wrote converting copy in newsletters/sequences and personally moved landing-page conversion — and can show "before → after."

• Proven volume: you've generated a comparable number of SQLs/demos (in the hundreds per month), not just "ran campaigns."

• Hands-on AI fluency: you already build marketing systems with AI (Cowork / Codex / etc.) and can validate what AI produces, not just publish it blindly.

• Fluent English.

• Ideal background: B2B SaaS in a close space including SalesTech, MarTech, GTM-tech that sold to agencies and service companies. Then you already know our buyer and need no ramp-up on the ICP. Candidates from an agency background aren't a fit; we need a product/SaaS background

• A hard requirement — everything hands-on. The "I assigned tasks to a team/contractors and they did it" profile isn't a fit. We need someone who did it themselves and owned the result.

Our stack

• HubSpot — the core: email, triggers, client documentation.

• AI-first analytics: our agents traverse HubSpot data and return analytics.

• Intercom — behavioral triggers and analytics for active clients.

• Pre-purchase leads — all in HubSpot.

Success metrics (KPIs)

• North star: booked demos per month — ramp to 200–300/month within 3–6 months.

• Newsletter: base growth + end-to-end conversion of the warmed segment to demos (target ~2–3%).

• Demo-page CRO: from a baseline ~2–4% to 6–8%+.

• Free → paid: toward the PLG median of ~9%+.

• Reactivation of the sleeping base: % of leads brought back.

Compensation

• Base: $2,500–3,500/month (depending on level).

• Performance bonus: $1,500–2,500/month at 100% of plan, tied to demos, SQLs, and pipeline contribution; quarterly accelerator for overperformance.

• OTE at 100% of plan: ~$4,000–6,000/month.

• Remote working

• Carrer path to CMO.

What to bring to the call with our team

• Cases with numbers — where you drove growth and which metrics you actually moved (not "the team did it"), including the volume of SQLs/demos generated.

• A live screen-share — show your AI layer (Cowork / Codex / etc.): what you build by hand as a marketer.

• Conversion-marketer thinking — how you crank conversion through audience pains/desires/triggers.