Sylvester Sawala
Everything you're screening for — met
Key responsibilities
7 / 7Minimum qualifications
7 / 7Preferred qualifications
6 / 6Three reasons I'm built for this role
Already inside Canada's financial sector
I own the Large Credit Union Coalition list for central & western Canada, count RBC and CIBC among past customers, and help bring the Big Five's risk, compliance and AI leaders together at events Black Kite hosts and sponsors. Anthropic is standing up Canada FSI now — and I can help open these doors early.
I exceed quota selling trust-sensitive AI
Black Kite grew 70% revenue CAGR across four straight years — I've driven two of them: top rep in Q3 2025 and Q1 2026, closed 2025 on quota, and tracking to beat 2026. Six-figure deals through 4–6 month cycles gated by AI committees and regulators — the exact shape of Anthropic's enterprise motion.
I turn frontier capability into outcomes
My whole career is translating technical products into business value and getting ICs, security, procurement and the C-suite to "yes" together — exactly what differentiated value across a new landscape demands.
Relationships the Big Six already know me by
We hosted the first-ever Risk Center of Excellence.
At the Ritz-Carlton, Toronto, Black Kite organized and hosted a roadshow that brought the risk, compliance and data/AI leaders from CIBC, RBC, BMO, TD and Scotia together for the first time — a single thought-leadership session and happy hour where the Big Five compared notes on governing AI. Convening competitors in one room is the hardest trust to earn in this sector — and we're running it again this September.
Large Credit Union Coalition
I own the coalition customer list for central & western Canada — direct reach into exactly the major credit unions this role names.
RBC & CIBC
Both were my customers during my IPG years — I held a vendor pass card to CIBC's offices, inside the building. I still know the key players.
GMFI / OSFI conference
Black Kite has sponsored the annual 2-day OSFI-led GMFI conference two years running — meaningful conversations both times with risk, compliance and operations leads.
Calgary Stampede
Black Kite hosts enterprise leaders across energy, financial services, insurance, healthcare and tech — where the real trust gets built, outside the boardroom.
Quota-carrying results in regulated, multi-stakeholder sales
My background, in the language of this role
Why this mission, and why now
AI is the most consequential technology of our lifetime — and I don't say that lightly.
The upside is staggering. So are the risks — and most of the industry is sprinting straight past them. That's exactly why Anthropic matters: it's the rare frontier lab treating safety as the foundation, not an afterthought. I believe that's precisely what will make it the leader, not just a contender.
I've always optimized for the people in the room.
The thing I've protected most across my career is who I work alongside. I want to be surrounded by people who bring drive and urgency, who move fast, who see opportunities where others see problems, and who believe they're part of something bigger than themselves. That's the room Anthropic is building — and it's the room I want to be in.
And this isn't theoretical — Claude is already woven through my life.
My wife, a founder, used Claude to double her business's growth over the past year.
I built an AI-run "family office" to manage our household's finances.
I built Claude agents and internal tools that 10×'d my output — briefing, pricing, positioning and reporting, on autopilot.
It's how I show up prepared in front of leadership, colleagues, partners and customers. Honestly — it's been life-changing.
Line up who I am at my core, what drives me, and what I bring — and it points one direction: helping Anthropic bring safe frontier AI to Canada's most regulated enterprises, and turning that hard-won trust into revenue.
Three conversations I'm already having
These aren't hypotheticals — they're the boardroom debates I navigate every week selling trust-sensitive AI into Canadian banks, enterprises and the federal government. Tap a tab below to open each one.
For a Canadian bank, the question is never just "is the model good?" It's "will OSFI, our model-risk team and our board sign off?" That gate is where frontier-AI deals live or die — and it's a conversation I'm in constantly.
OSFI is now the first stakeholder, not the last
OSFI's model-risk and third-party guidance (B-10, E-23) means a CISO or CTO can't just pilot a frontier model — they have to evidence governance, explainability and third-party risk before it touches a regulated workload. The vendor who shows up already fluent in that framework isn't selling a model; they're de-risking a decision.
"What's the threat these frontier models pose to us?"
Not a week goes by without a CISO, CTO or head of model risk asking me about the newest frontier tier — Mythos, Project Glasswing, and where the capability ceiling is heading. Their concern is real and legitimate: as capability climbs, so does the surface area for misuse and the scrutiny from regulators. I don't wave that away. Anthropic is the one lab whose entire thesis is that safety and capability advance together — which turns the scariest part of the conversation into the strongest part of the pitch.
I turn the governance review into the sales motion
Most reps treat the AI board review as the obstacle at the end. I treat it as the deal. I've built the business cases, sat in the committees, and answered the "what if it hallucinates into a regulated decision?" question enough times to get to approved, not just interested.
I sell enterprise across Canada's key hubs and central-U.S. metros, and I own the Canadian Federal Government business. From every bank I speak with, the same three words keep surfacing: sovereignty, residency, IP.
The three questions every Canadian buyer asks now
Where does our data sit? Are the models trained on our IP? Is the vendor Canadian? These decide deals before features do. Anthropic's answer — data residency on Canadian cloud regions, no training on customer data, and Claude's Constitution as the safety backbone — is the strongest response I've seen to that exact tension, and I've been selling through it for two years.
I've won the "you're a U.S. vendor" objection — repeatedly
Black Kite is Boston-based. IPG (my prior home) was NYC-based, TSX-listed. In both, I ran months-long AI and vendor board reviews for Canadian banks and government — and won the deal on the other side. I know how to make a foreign-headquartered frontier vendor procurement-safe in a "buy Canadian" climate, because that's been my day job.
Federal is a different animal — and I already run it
I built the Canadian Federal GTM from scratch and landed the first 7-figure, multi-year contracts in under 16 months. Public-sector procurement, sovereignty and data-residency rules aren't a learning curve for me — they're the territory I already own.
Canadian banks are pouring money into AI. RBC and CIBC are investing heavily — but the gap they'll privately admit to is people and frameworks: the internal capability to govern and roll AI out safely. That's exactly the gap a safety-led vendor is built to close.
The industry's own numbers are the opening
MIT's State of AI in Business 2025 found that despite an estimated $30–40B in enterprise GenAI spend, 95% of pilots delivered no measurable P&L impact — and the divide came down to integration and workflow, not model quality. Enterprises don't need another model; they need someone who lands it into a regulated workflow and makes it stick.
Selling it in is the easy part. Keeping it is the deal.
We could sell Anthropic into these organizations fast — but just as fast, they can churn if the win isn't handed to enablement with a real success plan. A customer that churns 12 months later is a leaky bucket. My whole approach is engineered against that: land, then embed.
What I'd bring to Anthropic's Canada play
Meet OSFI, "buy Canadian" and frontier-risk head-on as the differentiators they are; give banks the framework help they're short on; and pair every close with an enablement hand-off so the bucket doesn't leak. That's how safety-led AI wins — and keeps — the Canadian enterprise.
Where AI earns its keep in a bank
Frontier AI isn't abstract to a bank — it either moves a real workflow or it doesn't. Here's where Claude drives measurable value across the exact functions this role is built around, and who owns the outcome.
Agent assist & self-serve resolution
Claude drafts accurate replies, summarizes account history, and surfaces the right policy in real time — cutting handle time while keeping a human in the loop on anything sensitive.
Faster, better-documented decisions
Extract and spread financials, then draft the first-pass credit memo from application docs — so adjudicators spend their time on judgment, not data entry.
Regulatory change & control testing
Map OSFI guidance and policy changes to internal controls, generate AML/KYC narratives, and draft model documentation — with citations a regulator can actually follow.
Document processing & exceptions
Turn unstructured documents, reconciliations, and scattered internal knowledge into structured, searchable answers — clearing the operational backlog that clogs the back office.
Legacy modernization with Claude Code
Accelerate migration off legacy cores, document undocumented systems, and lift developer throughput — where a bank's largest cost and largest risk actually sit.
Institutional knowledge on tap
Synthesize research, filings, and internal materials so bankers, analysts and advisors prep in minutes, not hours — with sourcing they can stand behind.
What I'll deliver as your Strategic AE, Financial Services
Mapped to the role: own the full cycle from first outbound to launch, expand the market, feed product, and build a motion the team can reuse.
New logos, closed and launched
Own the full sales cycle — first outbound to signature to launch — driving pipeline from outbound, partners and my ecosystem, and exceeding quota through the AI-committee and procurement cycles I already run.
New segments & use cases
Pinpoint high-potential segments — banks, telco, insurance, federal & provincial government — and translate market analysis into targeted plays that open ground competitors haven't defined yet.
No leaky bucket
Every close handed to enablement with a success plan so wins don't churn at month 12. Last year: 100% retention, 38% of accounts upsold — the land-and-expand motion Anthropic needs to compound revenue, not just book it.
Field intelligence, fed back
Customer feedback and market needs routed to product and marketing to sharpen the value proposition — and every learning captured into playbooks, templates and best practices the rest of Canada GTM can run.
The GTM stack I run on — with Claude in the middle
A quick tour of the daily workflow behind the numbers. Best-of-breed tools for every stage of the cycle — and Claude for Enterprise tying them together so my desk moves faster than it has any right to.
Enrichment — by far the most accurate tool I've used for building outbound lists and pinpointing target accounts.
Outbound campaigns to prospects and existing customers.
Home base. Leadership, product, research, deal desk, SE and enablement all live here — roadmap updates, CAB feedback, CSM onboarding, pre-briefs before discovery, and every win posted with the funniest GIF possible.
Call recording and coaching. Each week the whole team watches one deal in a 30-min lunch & learn and works the good and the bad.
Tickets.
System of record and single source of truth.
Forecasting, wired straight to Salesforce — it's how we make the monthly and quarterly call. Daily 30-min rapid-forecast stand-ups through the last month of the quarter: multi-thread, ask for exec bridge support, no finger-pointing. Closed this quarter a week early.
Meetings, decks and proposals.
Professional communications.
Contract redlines and signature.
Claude for Enterprise
Eighteen months ago we brought Claude in, and it now connects every tool above and gets them talking — pulling one thread across Slack, Salesforce, Chorus and the rest. When I arrived, ChatGPT was the AI in the building — used, but not yet at an advanced level; Claude is what turned the stack into a single system. It's let me focus my time at a speed and depth I didn't think was possible.
Manager brief
Auto-deploys my weekly rollup to leadership.
Partner newsletter
Keeps the channel warm on a fixed cadence.
Customer meeting prep one-pager
A briefed, sourced one-pager before every call.
MEDDPICC coach
Maps each deal against the framework and pokes holes before the customer does.
Quoting tool
Turns deal inputs into a clean quote in seconds.
Business case / ROI one-pager
Builds a customer-ready value and ROI summary to anchor the business case.
A bit about me
What I'd want to ask you
Great sales hires interview the company too. Three things I'd genuinely want to explore:
How is sales leadership protecting the customer experience as the team scales?
I've heard the occasional story of a prospect being reached out to, replying, and then going quiet on our side. True or not, the perception matters — so what is leadership putting in place to make sure the buying experience stays as good as the product?
How do you build an AI-native sales org from scratch at this speed?
The space is moving faster than almost anything I've sold in, and the GTM team is scaling at a pace we rarely see. How do you stand up a durable, AI-native selling motion when the product and the market are changing under your feet?
As self-serve grows, how does the AE role evolve?
Enterprise inbound tends to split two ways — self-serve or direct-to-sales — and I've read that a large share of enterprise deals are now closing self-serve. How do you see that growing, and how does it reshape what the AE actually owns?