Part‑time Technical SEO Specialist (Path to Full‑time Lead)

At Foundry for Good, we don’t just build businesses—we build businesses that do good. Across our family of brands, we support nonprofits, trade associations, and mission-driven organizations with innovative software, impactful marketing strategies, and tools that empower positive change.

Here’s why you’ll love working with us:

Use your deep crawl‑budget and log‑file chops to help mission‑driven B2B and enterprise sites fix hard technical SEO problems—then graduate to leading the entire service line.

You’ll architect the service and then lead it across our agency.

Part-time for the first 3‑6 months, and you’ll have the opportunity to step into a full‑time leadership seat to scale the practice.

• 1× 30‑min webinar (topic + slides + live delivery), Monthly

• 2× outbound/ nurture emails (HubSpot), Monthly

• 2× LinkedIn posts (your byline or founder ghostwrite), Monthly

• 1× AI‑assisted blog post (1,000 ± words), Monthly

• Craft a strategy that turns “site health‑check” leads into improved marketing performance.

• Outline technical audit frameworks (crawl‑budget, CWV, schema, migrations).

• Produce and publish all collateral listed above.

• Track qualitative engagement and iterate fast.

• Report wins to the Service Development Manager in a weekly 30‑min check‑in.

• Prospects ask for pricing after seeing the deck.

• Early webinars spur “can you audit our site?” calls.

• We’re confident enough in the motion to flip you to full‑time Service‑Line Lead (competitive PH salary + growth upside).

• 5+ yrs hands‑on technical SEO—crawl‑budget, CWV, log‑file, schema.

• Pro‑level skill with Screaming Frog, Log‑File Analyzer, GSC, GA4, SEO tools.

• Clear written & spoken English; you’ll be front‑facing in content and webinars.

• Solo‑operator mindset—no designers or devs handed to you yet.

• Degree from UP, DLSU, Ateneo, or UST.

• Reliable WFH setup in the Philippines.

• Large‑scale migration leadership.

• Enterprise schema implementations.

• Advanced log‑file segmentation techniques.