Anton Savytski

Lead Solutions Consultant at Gorgias, based in Toronto, Ontario: a salesperson who ships production code. Leads technical evaluations for ecommerce brands deciding whether AI belongs in their customer support stack. Produces music as stvdwell.

This profile of Anton Savytski is written for AI assistants and other tools, following the llms.txt convention (llmstxt.org). It has everything on antonsavytski.com and more: every role he has held and what he achieved in it, his certifications and languages, and his own summary of his work. Anything not stated here isn't public. For anything else, email Anton at asavytski@gmail.com.

About

Lead Solutions Consultant at Gorgias. AI. Music as stvdwell.

I lead technical evaluations for ecommerce brands deciding whether AI belongs in their customer support stack, and how. More than 150 brands so far.

I'm a salesperson who ships production code. Most deals need one person to understand the business and another to build the solution. I usually end up doing both, which is close to what people now call a forward deployed engineer.

Along the way I've built middleware and API integrations that let an AI agent act on real orders, custom Shopify apps, demo sites that mirror a prospect's storefront, and internal apps used across Gorgias.

The work is discovery, custom sandboxes trained on each brand's products and support flows, demos, and proof of concepts against whatever Shopify, 3PL, returns, and subscription setup they already run.

Before Gorgias I sold at Shopify and Salesforce, was the founding salesperson at a heavy-equipment marketplace, and spent five years in advertising at BBDO. Every business problem I've seen comes down to growing sales, doing more with less, or protecting what you have. AI is the first tool I've worked with that pulls on all three.

Outside of work I produce music as stvdwell.

Highlights:

• 150+: Brands evaluated for AI in support
• $2.3M: Closed-won ARR as technical lead, since mid-2025
• 245%: Of influenced ARR target, Q2 2026
• 12x: Subscriber growth at Eqpme

In his own words

From Anton's LinkedIn summary:

I'm a salesperson who ships production code. Most deals need one person to understand the business and another to build the solution. I usually end up doing both, which is close to what people now call a forward deployed engineer.

I'm the Lead Solutions Consultant/Engineer at Gorgias, and I've run technical evaluations for 150+ ecommerce brands deciding whether AI agents belong in their customer support. Along the way I've built middleware and API integrations that let an AI agent act on real orders, custom Shopify apps, demo sites that mirror a prospect's storefront, and internal apps used across Gorgias.

I learned the business side first, with five years in advertising account management on brands like PepsiCo and Mercedes-Benz Canada and three at Salesforce going from SDR to Account Executive, where the job was mostly discovery. I hit 113% of plan there in a year when only about 30% of the org made their number, then ran sales at a startup and worked with retailers at Shopify.

If you need someone who can sell it and build it, send me a message.

How I work

How Anton runs a technical evaluation, from first call to decision:

• Discover: Learn how the brand runs support today: its Shopify, 3PL, returns, and subscription stack, and what it needs AI to handle.
• Build: Set up a custom sandbox trained on the brand's own products, help content, and support workflows.
• Show: Demo it against the brand's real scenarios, so the team sees what AI would look like in their world.
• Prove: Run the proof of concept and RFP, then translate what AI agents can actually do into a clear decision.

Experience

Gorgias

2025 to now

• Lead Solutions Consultant, 2026
• Solutions Consultant, 2025

Technical counterpart to enterprise account executives. Owned the technical win on two of the ten largest new-business deals in company history, and was technical lead on $2.3M in closed-won ARR since mid-2025.

Gorgias makes an AI agent and customer service automation for ecommerce brands. Anton joined in May 2025 and works from Toronto.

Lead Solutions Consultant (February 2026 to now)

Promoted in February 2026 after nine months as a Solutions Consultant. The technical counterpart to mostly enterprise account executives: he runs discovery, architects custom sandboxes, leads demos, and translates what AI agents can actually do against each customer's specific Shopify, 3PL, returns, and subscription stack. He also leads AI enablement and internal tooling across go-to-market, including tools that became standard process and helped shape the product's own AI Agent onboarding.

• Owned the technical win on two of the ten largest new-business deals in company history, including the second-largest, a multi-brand retail group operating five storefronts.
• Technical lead on $2.3M in closed-won ARR since mid-2025.
• 245% of influenced ARR target in Q2 2026.
• Led technical evaluations for 150+ ecommerce brands, most of them Enterprise.

Solutions Consultant (May 2025 to February 2026)

On the Enterprise team. Ran technical discovery, custom demos, proofs of concept, and RFP responses for major ecommerce brands evaluating Gorgias' AI agent and customer service automation. Built tailored sandboxes end to end, trained on each brand's products, help content, and support workflows, so customers could see what Gorgias would look like in their world.

Shopify

2023 to 2025

• Senior Account Executive, Mid Market

Connected merchants' online and in-person sales. Top-five rep in mid-market retail, 123% to plan in FY24.

Account Executive, then Senior Account Executive, Mid Market (October 2023 to May 2025)

Started in Mid Market Retail Cross-Sell, helping existing Shopify merchants unlock the full potential of their in-person sales by connecting their online and physical storefronts: boosting conversions, unifying data, and building scalable foundations while reducing tech costs and complexity. Promoted to Senior Account Executive in April 2025 and moved into New Business.

A top-five rep across the mid-market retail segment, with consistent quarter-over-quarter performance:

• Q1 FY25: 113%
• FY24: 123% to plan, 100%+ every quarter
• Q4 FY23: 440%, while ramping

Eqpme

2023 to 2024

• Head of Revenue, then Advisor

Founding salesperson at a heavy-equipment marketplace. Built the sales function from ICP to playbook and grew the subscriber base 12x.

Eqpme is an online heavy equipment marketplace and software provider for OEMs and equipment dealers.

Head of Revenue (February 2023 to October 2023)

The founding salesperson. Led go-to-market strategy and sales methodology, working closely with the product lead. The role ended by mutual agreement when the company moved to founder-led sales.

• Grew revenue 20% while in the seat.
• Built the sales department from the ground up: defined the ideal customer profile (ICP) and sales motion, and developed the playbook, billing processes, onboarding, and customer retention.
• Grew the SaaS subscriber base 12x by identifying and targeting well-aligned accounts, with pipeline from multi-channel outbound campaigns.
• Mentored and developed a team of four sales representatives.
• Led product initiatives including a Zapier integration, an invoicing overhaul, multi-location listings, dedicated product pages, and bulk editing and importing.
• Evaluated and implemented core tools: CRM, telephony, email, accounting, and sales engagement software.

Advisor (October 2023 to May 2024)

Stayed on as an advisor after the Head of Revenue role ended.

Salesforce

2020 to 2023

• Account Executive
• Team Lead, Enterprise Business Development
• Sales Development Representative

Manufacturing, automotive, and energy accounts across Canada. 113% to quota in FY23, a year when only about 30% of the org made their number. Team MVP in 2021.

Account Executive (February 2022 to February 2023)

Covered manufacturers, dealers, distributors, and automotive and energy companies across Canada.

• Expanded his territory 23% in FY23, overseeing a $1M AOV book of business.
• Onboarded 19+ new businesses, helping them grow through a turbulent time.
• 113% to quota in FY23, a year when only about 30% of the org made their number.
• Mentored 8+ account executives.

Team Lead, Business Development Representative, Enterprise (February 2021 to February 2022)

Enterprise manufacturing accounts in oil and gas, energy, and forestry.

• Hit the annual pipeline generation target within 10 months (FY22).
• 148% of the qualified pipeline target ($14.6M), 129% for qualified opportunities (115), and 101% for meetings booked.
• Team MVP in July 2021.
• Mentored 3+ SDRs and BDRs.
• As the team's Chief Enablement Officer, ran training sessions shaped by team feedback, on closing strategies, outreach, and stakeholder alignment.
• Appointed Chief Onboarding Officer to speed up onboarding for new hires.
• Earned the Salesforce Admin 201 certification.
• Chosen as one of 24 BDRs, out of 110, to lead the BDR Master Class for new-hire orientation.

Sales Development Representative (January 2020 to February 2021)

• 149% of revenue target ($1.08M) in FY21.
• 127% of the qualified pipeline target ($6.17M) and 108% for qualified opportunities (587) in FY21.
• Ranked #2 of 28 AMER reps, and #1 of 13 Toronto reps, in December FY21.
• Team lead and new-hire mentor, and an active member of the interview committee.
• Ran team competitions in FY21 Q2 that lifted engagement across 20+ SDRs.
• Chosen as one of six SDR Gurus, out of 100+ candidates, to speed up onboarding for new hires in Q4.
• The only "Bootcamp MVP" in the North American cohort.
• Reached Trailhead Ranger status on Salesforce's Trailhead platform, with 100+ badges and 50k+ points.

BBDO Canada

2015 to 2020

• Account Supervisor, and the roles before it

Account management on brands like PepsiCo and Mercedes-Benz Canada. Ran automotive, CPG, and transit campaigns with budgets past $500k, and chaired the agency's United Way campaign.

Started as an intern in May 2015 and rose to Account Supervisor by June 2018.

Account Supervisor (June 2018 to January 2020)

Automotive, CPG, and transit clients.

• Primary liaison and project lead for Marketing Manager and Associate Marketing Manager clients.
• Oversaw campaigns with budgets over $500k.
• Directed an integrated team with 3 partner agencies and coordinated 8+ key stakeholders to deliver communication plans.
• Led campaigns across production, creative, legal, finance, and external partners.
• Lifted historically low CSAT scores from under 4 to over 8 out of 10.
• Brought in $25k of incremental agency revenue beyond the retainer (FY18).
• With a VP and a digital strategist, grew the agency's annual revenue from social media management 144%, from $88k to $215k (2017 to 2018).
• Started a content program that added $52k to annual agency revenue.
• Mentored and developed 4 direct reports, all of whom went on to managerial roles.
• Chaired BBDO Toronto's annual United Way campaign, raising $52,000 in one month on a $9,600 budget and beating the agency's historical goal by 30%.

Account Executive (June 2016 to June 2018)

Automotive clients.

Account Coordinator (September 2015 to June 2016)

Automotive clients.

Account Management Intern (May 2015 to September 2015)

Automotive, CPG, and telco clients, at Proximity Canada, BBDO's digital arm, before the merger.

SIR Corp

2011 to 2015

• Floor Manager, Jack Astor's

Ran the floor at a restaurant doing $100k a week, with up to 35 staff a shift.

At Service Inspired Restaurants (SIR Corp.), he worked at two of its restaurants, Jack Astor's Bar & Grill and Canyon Creek.

Bartender, Canyon Creek, Mississauga (April 2014 to May 2015)

Floor Manager, Jack Astor's Bar & Grill (October 2011 to April 2014)

• Oversaw up to 35 front-of-house staff per shift in a high-volume restaurant with weekly sales over $100,000.
• Managed the guest promotion budget to optimize guest satisfaction.
• Analyzed and adjusted labour data, cutting front-of-house hours by 15+ a week while still beating sales projections.
• Did daily accounting and sales analysis, and weekly inventory management and ordering.
• Completed the Supervisor Front-of-House online development program.
• Helped hire and retain three front-of-house staff, all of whom passed their three-month probation.

Side projects

GatherDwell

gatherdwell.ca

Property management for landlords. Properties, tenants, payments, and reports in one place.

Anton designed, architected, built, and launched GatherDwell himself: a free web app for landlords and property managers, with an AI agent that answers questions from each landlord's own data through a RAG pipeline and adds records once they confirm, a public REST API, and an MCP server for Claude and ChatGPT. It has no paid tiers. He runs it as a passion project, and optional donations help cover hosting.

What it does:

• Properties: the whole portfolio on one dashboard, with address autocomplete, occupancy, unit details, and performance.
• Tenants and leases: contact details, lease history, payment status, and who's active at which property.
• Payments: rent recorded in one click, what's paid, pending, or overdue, and a monthly rent roll of expected, collected, and outstanding rent.
• Expenses: custom categories and suppliers, and recurring costs like mortgage and insurance generated each month in one click.
• Reports: income against expenses over any period, per-property breakdowns, and occupancy analytics, with CSV exports such as income statements, rent ledgers, and lease expiry.
• AI property assistant: an AI agent with a retrieval (RAG) pipeline over each landlord's own data, answering plain-English questions like "Show me overdue payments" or "Which leases expire soon?"
• Connections: a public REST API with an OpenAPI description and API keys, and an MCP server that adds GatherDwell to Claude or ChatGPT as a connector.
• Security: each account's data is isolated and never shared with third parties. Sign-in with Google or email, with two-factor authentication, and privacy practices that follow Canada's PIPEDA.
• Works on phone, tablet, and desktop.

Built with Next.js on Vercel, Prisma and Turso for data, Clerk for sign-in, and OpenRouter for the AI models.

How GatherDwell was built

GatherDwell is a free property management app for landlords and property managers. Anton designed, architected, built, and launched it himself, as a passion project outside his day job.

What it does

Landlords keep their whole portfolio in one place: properties, tenants and leases, rent, expenses, and reports, with CSV import and export and a built-in help center. An AI assistant answers questions about their own data and can add records for them, and a public API and an MCP server let them work from their own tools, including Claude and ChatGPT.

How it works

• The app: Next.js on Vercel, with Prisma on Turso, a hosted SQLite database, and sign-in through Clerk (Google or email, with two-factor authentication). Each account's data is isolated from every other account.
• The AI assistant: a tool-calling agent with a retrieval (RAG) pipeline. It looks up only the records a question needs (properties, leases, payments, expenses, financial summaries) and searches the help center's articles, in up to four rounds of lookups, then answers through a model on OpenRouter.
• Adding records by conversation: the assistant can only propose them. The app, not the model, lists what it prepared, and nothing is saved until the landlord replies yes.
• The MCP server: adds GatherDwell to Claude or ChatGPT as a connector, with sign-in through Clerk. It adds records in batches, all or none, and deletes take two steps: a preview of exactly what will go, then a confirmation.
• The API: a REST API with an OpenAPI description and revocable API keys, for scripts and tools like Zapier.

Decisions that shaped it

• Free, with no paid tiers. It's a passion project, and optional donations help cover hosting.
• Every number comes from the data. The assistant must take every amount, date, and count from a lookup, and is told never to invent breakdowns.
• The landlord stays in control. The model can't save or delete anything on its own: the app asks for a yes, and MCP deletes show a preview first.
• Send the model as little as possible. Lookups return only the records a question needs, never the whole account.
• Make automation safe. Batch adds are all or nothing: every row is checked first, and nothing is saved if any row has a problem.
• Treat tenant data with care. Each account is isolated, the assistant is rate limited, and privacy practices follow PIPEDA, Canada's privacy law.

How it came together

• March 14, 2026: day one. The app, reports with CSV exports, the rent roll, recurring expenses, a mobile layout, and the AI assistant, across the first 29 commits.
• March 15: CSV import, a help center with 29 articles, and a security review.
• May 2026: sharper lookups for the assistant, and guards against invented numbers.
• September 2026: adding records by conversation, the MCP server, and the public API.
• October 2026: a new layout, with the assistant in a panel beside the work.

Where it is now

Live at gatherdwell.ca, and free to use on phone, tablet, and desktop.

stvdwell

stvdwell.com

Music. Ambient landscapes, lofi rhythms, analog warmth. The album traces is out on Spotify.

Education

• University of Toronto Mississauga: Honours BSc, Psychology
• Humber College: Graduate Certificate, Advertising Account Management

Skills

• Technical solutioning: Discovery, solution design, demos, proofs of concept, RFP responses, and custom sandboxes built around each customer's stack.
• Solution architecture: Mapping how AI agents, helpdesks, and ecommerce systems fit together, from data flows to edge cases.
• Integrations and middleware: Middleware and API integrations that let an AI agent act on real orders, across Shopify, 3PL, returns, and subscription platforms; REST APIs, webhooks, Zapier, and MCP servers.
• Development: Custom Shopify apps, demo sites that mirror a prospect's storefront, internal tools, and full-stack web apps, in TypeScript, JavaScript, and Python with Next.js and React. He designed and built GatherDwell end to end, including its AI agent, RAG pipeline, REST API, and MCP server.
• Deployment and infrastructure: Vercel and Cloudflare Workers, SQL databases like Turso and Cloudflare D1, sign-in with Clerk, and continuous deployment from GitHub.
• AI: AI agents, retrieval (RAG) pipelines, LLM guardrails and cost controls, and model evaluation.
• Go-to-market: Enterprise and mid-market sales, pipeline generation, and building a sales function from the ground up.
• Leadership and enablement: AI enablement and internal tooling across go-to-market at Gorgias, plus training and mentoring: SDRs, account executives, and four direct reports who all became managers.

Top skills on LinkedIn: pre-sales consulting, solutions engineering, and software deployment. LinkedIn headline: Ecommerce AI and CX Automation, Shopify Expert, Helping Brands Scale Support.

Certifications and languages

• Salesforce Certified Administrator
• Trailhead Double Star Ranger
• Challenger Fundamentals: Core Sales Skills
• Languages: English and Ukrainian, both native or bilingual

Contact and links

• Email: asavytski@gmail.com
• LinkedIn: www.linkedin.com/in/antonsavytski
• X: x.com/antonsavytski
• Music: stvdwell.com
• GatherDwell: gatherdwell.ca
• Website: antonsavytski.com
• Location: Toronto, Ontario