James Raybould

I've recently joined Turing, an AGI infrastructure company, to lead our Turing Intelligence business, building powerful AI systems to answer the question, "How will AI transform my business?" We combine expert human and artificial capabilities to accelerate companies.

I'm a Generalist. After Consulting at Bain pre- and post-HBS, I joined LinkedIn in early 2010 and spent 12+ years moving across functions and leadership roles: I started in Sales Strategy and Analytics before moving to Marketing, Product Management, and, finally, General Management. I then moved to fractional exec roles at Speak, WisdomAI, and StealthAICo, blending product, GTM, and GM skills; I like breadth above all. 

To tell my longer story, 3 dates from 3 decades help:

Sept. 22, 1995: I travelled 5,000 miles from my London hometown to Stanford. I was drawn to studies, sports, sunshine, and a Bay Area culture more focused on creating the future than curating the past. I rowed on the Stanford Varsity Crew team and studied psychology for my B.A. and M.A. And I've stayed close: I can see the Stanford campus from our backyard.

Sept. 13, 2004: I joined Bain Bay Area as an entry-level Consultant. After a few years of racing triathlon and working in sports business, I was drawn to Bain’s entrepreneurial culture and fast-paced learning environment. Looking back, my strategy and comms chops were forged at Bain, as was a lifelong love of Excel, PowerPoint, and Cinnabon.  

March 8, 2010: I left Bain to join a pre-IPO LinkedIn with ~500 employees and ~$100M in revenue. I discovered a vision that deeply resonated - to create economic opportunity for every member of the global workforce - and, second, a set of inspiring leaders teaching me how a culture and values focus could underpin incredible businesses. Over the next 12.5 years, my roles and responsibilities varied: in function from sales strategy, analytics & insights to marketing to product to GMing; in scope from being an IC to leading ~100 person teams; and in scale from helping run our largest, multi-billion dollar recruiting business to jumping in to help lead our acquisitions of Lynda.com (2015) and Glint (2018). 

Outside of work, I'm a long-term elite endurance athlete (rowing > Ironman > marathons > bike racing > marathon swimming) and compulsive reader and film-goer. Here's ALL my books & films (bit.ly/z2D1sX) and I publish a "What's the So What?" newsletter distilling favourite books and experiences into what matters most (bit.ly/3q188jL)

Founding Member & Advisor

I’m excited to be a founding member of Round, a newly launched community for tech’s most thoughtful leaders. Since joining I've benefited in a major way from small "core group" meetings, special events with luminaries, connections with other tech leaders, and more. Starting in early 2023 I've also begun to help the Round leadership with a range of projects to help them grow their impact.

6 AI agents are working for me right now. In parallel. Like 6 direct reports — but faster, more patient, and available at 7:15 pm on a Thursday.

That screenshot is my monitor tonight. Six Claude Code windows running simultaneously — reformatting a 30-page document, deploying a "kiddo points" web app for my kids, analyzing my health data, crunching LinkedIn analytics, cataloguing every film I've watched, and researching a VC firm's team.

To bring the last one to life, in <60 minutes of clock time and <10 minutes of my actual supervisory time, Claude Code helped me to do some in-depth research on the 60+ person investing team at Bessemer Venture Partners:

First, it pulled all the bios (easy for humans, but would take >60 minutes of mindless copy-and-pasting)

Then, it created the So Whats of their team composition across educational backgrounds, prior employers, and uncovering Quirks and Hidden Patterns: https://lnkd.in/dJjqKqQh

I’ll bet even folks who work at BVP - hello, Shannon Brayton, Lauri J. Moore, Steve Kraus, Kent Bennett, and more - will learn new nuggets from the Quirks section at the bottom of the Notion doc (BTW, the Claude Code-Notion integration is incredible)

This "So Whats" analysis would have taken me 5+ hours to replicate, and, realistically, the quality of my work would have been far lower, and I would never have invested the time to begin with.

And that was the output from just one of six windows running at the same time.

6 agents in parallel probably sounds crazy to many of you.

But with the current pace of AI innovation from Claude Code/Cowork and others, I'm confident it'll be commonplace for everyone reading this by June.

And 6 parallel windows will soon become 60. And then 600...

The bottleneck isn’t technical skills anymore. It’s the ability to generate ideas worth building and to use ever-improving AI tools. 

If you're reading everything about Claude Code — as of today, with Opus 4.6 now available! — but not yet using it, you're missing out on the single most powerful product ever built.

I've never entered a Computer Science building and can't write a line of code on my own. Now I ship new analysis and new products every single day, with zero other humans involved. #JFDI

Inspired by my time at LinkedIn, I built a "Relationships Matter" app that shows which of my relationships are heating up or cooling down. Spanning personal and professional, and all my digital channels.

If you've worked at LinkedIn, you'll know "Relationships Matter" well; it's one of the company's foundational values from day one. But actually keeping track of relationships has always required too much manual effort. 

AI advancements and API integrations have changed that.

My app connects to my full digital life: iMessage & WhatsApp, email, phone & FaceTime, LinkedIn messaging and commenting, and my Calendar, including video versus in-person. 

I had fun geeking out on the scoring and features:

- 📞 It weighs the value of different interaction types — an in-person cup of tea vs a FaceTime call vs a quick text vs a 👍 on WhatsApp
- 📉 Diminishing returns on volume — 50 texts in a day isn't 25x more meaningful than 2
- ⏳ Recent interactions count more — that SF stroll last week matters more than a long catch-up two years ago
- ❤️ Personal relationships need more regular contact than professional ones, since I want family and friends to come first
- 🔄 It tracks who's reaching out more — am I more often the initiator or the initiatee?

I’ve no idea if the scoring is right, but it's a fun one to noodle on and super easy to change as I tune it. 

Every person gets a Warmth score and accompanying tier (from Inner Circle down to Dormant) plus a trend (heating up, cooling, or stable).

I've also set targets for folks — whom do I want to be closer to — and the app shows me how I'm tracking and makes suggestions.

And, NO, I won't be sharing my target tiers or what rank you are on my Relationships Matter list, beyond stating that, YES, my wife is the clear #1 ;)

I built this last weekend in <1 day with Claude Code. A year ago, I would never have even considered tackling this. The barrier to building whatever we want is getting lower and lower.

Still very much WIP. What would you want in a “Relationships Matter” tool?

And if we haven’t caught up recently, consider this your nudge. Reach out or expect a ping ;)

#RelationshipsMatter #JFDI

Traders assume a $30K+/yr Bloomberg Terminal. Recruiters assume a $10K+/yr LinkedIn Recruiter seat. AI tools are next. And the bill will dwarf both.

It's starting with engineers. They're already turning down offers over which AI tools they get: Claude Code and Cursor are becoming a requirement — teams still stuck on Copilot are losing candidates. And token budgets north of $100K/year per engineer are coming fast.

And this won't stay in engineering. As every role builds with AI - PMs, marketers, ops leads, etc., more and more roles will hold the same assumptions.

This changes compensation conversations:
- For individuals: "What's my token budget?" will mean total compensation is salary + bonus + equity + tokens.
- For leaders: we'll need to manage token budgets across teams and roles.

Right now, AI tool spend per employee is perhaps 1-2% of headcount costs. That's heading to 10%. Then 20%. I wonder when the first truly AI-forward companies at scale will cross 50%?

I built a LinkedIn profile analyzer app and accidentally discovered that AI can make people feel deeply understood.

On Thursday, I launched "Profiler," a LinkedIn profile analyzer inspired by Miranda Priestley. I designed it to be accurate and instructive but deliberately snarky and judgmental.

Celebrity profiles were a hit (Stephen Curry is "Formidable (6/7)", Tom Brady only "Flickering (4/7)"), and there was friendly competition — only 12 people out of ~2K profiles analyzed so far are "Unforgettable" (7/7). 

But a surprising number of responses highlighted something I didn't design for. People quoted back the lines where AI read their career and landed on something unexpectedly personal:

🌟 "This phrase may be the best compliment I've ever gotten about my work." - Emilia Varshavsky Shapiro 
😊 "I've had a rough year... and the little quote at the top just made my day." — Eileen Lawless
🙏 "I feel so seen. I guess I've done a pretty good job of intentionally ignoring all the cries and rules around personal branding and stayed true to sharing my open heart and mind." — Todd Lieman
🥲 "Tears. Literal tears." — Lara Frankovitch

If we've been lucky, we've had managers or mentors who said something about our careers that connected dots we hadn't connected ourselves and reflected back something we didn't know was visible. That's a rare gift from a person who knows us well.

An AI tool that this non-coder built over a weekend delivered some of that special feeling in under 20 seconds using nothing but a LinkedIn profile — to complete strangers. I don't know any of the people quoted above.

There's a general perception that AI will surpass us on IQ, but EQ is where humans will maintain our advantage. My weekend project just challenged that assumption. Now imagine what happens when this kind of capability is built with intention — with your full work history, your communication patterns, your actual performance data.

If you haven't tried Profiler yet - it's Desktop only - what it sees might surprise you: https://lnkd.in/drcdRyDc

#AIEmpath #EndBoringProfiles

I'm finding AI is even more about mindset than skillset. 

The more I use it — really use it, getting close to the metal with Claude Code — the more opportunities I see. 

Not because I've learned some special technique. Because my brain is starting to work differently as I see everything through an AI lens. 

More and more, my default when I see friction in my day is, “I could build something to make this better.” Not "find a tool” or "file a ticket”, but to just build it myself. Often in an hour or an afternoon. 

This mindset came only from doing, not from reading.

Which is the opposite of what I’m seeing with too many of my exec friends and colleagues. I see them appointing an AI lead and waiting on a roadmap. Asking their teams to “explore use cases” while they “guide” from above.

You can’t delegate a mindset shift. 

Your team can build workflows and pilot tools all day, but if you haven't personally felt that moment where a week of work compresses into an hour, you're making decisions about the future of your org without understanding the shift that actually matters. 

It's less about being technical than about rebooting your defaults. Stop accepting every process you inherited and start questioning the friction you've treated as normal. 

Our best leaders won't be the ones who authored the best AI strategy decks. They'll be the ones who got uncomfortable early and started tinkering. The ones who yelled at Claude Code, “WTF did you just do?” (while knowing it was almost always because their prompt wasn’t clear enough). 

This mindset only comes from doing. #JFDI

Three years ago, Nvidia's revenue was flat. Literally flat. $26.9B in FY22, $27.0B in FY23. A rounding error of growth. Then this happened:

- FY24: $60.9B (+126%) 
- FY25: $130.5B (+114%) 
- FY26: $215.9B (+65%)

That's +$189 billion of new annual revenue in three years. An 8x increase. A 100% CAGR (Compound Annual Growth Rate) off a completely flat base.

The former Bain consultant in me got nerdy about this, so I went looking for comparisons. I pulled the best 3-year revenue stretch I could find across the major tech companies:

1. Amazon (2018-2021): $233B to $470B; +$237B, 26% CAGR 
2. Amazon (2022-2025): $514B to $717B; + $203B, 12% CAGR
3. Nvidia (FY23-FY26): $27B to $216B; +$189B, 100% CAGR
4. Apple (FY19-FY22): $260B to $394B; +$134B, 15% CAGR
5. Alphabet (2018-2021): $137B to $258B; +$121B, 23% CAGR 
6. Alphabet (2022-2025): $283B to $403B; +$120B, 12% CAGR
7. Apple (FY09-FY12): $43B to $157B; +$114B, 54% CAGR 

Most folks consider Apple's iPhone + iPad era (#7 above) to be tech's defining growth story, but that was +$114B and 54% CAGR. Nvidia nearly doubled it in both absolute dollars and growth rates. WTF. 

One level nerdier: Nvidia has grown by $85B in the past year (+65%). This is #3 all-time for absolute growth: Amazon put up +$106B (+38%) from 2019 to 2020 (peak COVID) off a $281B base, and Apple put up +$91B (+33%) from FY20 to FY21 off a $275B base. 

And going all-in nerd: Nvidia's +$189B revenue growth in 3 years was larger than today's total revenue for each of JPMorgan Chase (founded in 1799), Ford (founded in 1903) and GM (founded in 1908) ;)

You can debate whether AI is overhyped. You can't debate 8x growth in 3 years. 

#WhatWouldJensenDo

Saturday morning with the kids may be the best AI training program available. 

I built "Kiddo Points" for our 8- and 11-year-old munchkins — see screenshots and the view-only version here: https://lnkd.in/dHvVtjuM 

It rewards behaviours across learning, sports, chores, and more. 

And these points unlock smaller choices like picking the restaurant or playing DJ on family drives, and bigger choices like a “double sleepover” with friends or where we travel to on holiday. 

Claude Code made the technical building easy: I ask. It builds. 

The hard part — as with many products — was designing the incentives:
- I don't want them reading - an activity they both love - just to earn points.
- How many tennis serves practiced equates to vacuuming the house?
- Which activities to auto-approve (presume trust) versus require our approval (but verify)?

While building this out, I had fun indulging my marketing geek and creating a promotions system: I can increase points on certain days and for certain activities. I’ll definitely weave in the Winter Olympics in some way; maybe the Super Bowl tomorrow, too.

And I included personal finance education: kiddos can put their points in the bank (and earn interest) or take out a loan (with interest to pay back)!

A parenting app may seem out of place on LinkedIn. 

But building with AI in your personal life is the best side door to learning AI.

No IT approvals. No security reviews. No stakeholders. Just idea → build → iterate. The loop that takes 6 weeks at work takes 6 hours at home. And the AI skills transfer to work.

In addition, spending this much time thinking about how to manage my kids has me thinking about what applies to managing at work.

The problems are nearly identical, although the reactions may be different: my 8-year-old threatens to withdraw hugs if I don't change an incentive, and my 11-year-old already games our system better than any VP I've worked with ;) 

If you're reading about AI but not yet building, make your family the reason to get rolling this weekend. 

#JFDI

"How did you actually build that?" Here’s 1,521 Claude Code messages to answer the most common question I get these days.

Broken into 6 stages, I've pasted every exchange verbatim with Claude (Stage 1: Define and Stage 6: Launch) and Claude Code (Stages 2-5) to build Profiler, a LinkedIn profile analyzer tool:

- The full transcript: https://lnkd.in/dqhUdy9m

In the spirit of "Show, Don't Tell," I hope this helps show the reality of building software with AI in February 2026. A taste of what's inside:

🎭 Defining the voice: "Make sure that it's as though Miranda Priestley gave up running Runway and decided that she wanted to run a LinkedIn profile makeover boutique."

🧪 Keeping Claude code on its toes: "If it failed last time, are you confident this will fix the problem?" Claude Code: "Honestly — no, I'm not fully confident."

😊 Open, honest, and complimentary: “It looks great, nice job.” … “I love it!” … “I think you're right.”

😤 Open, honest, and less complimentary: "Your advice to post it and see what it looks like is absolutely terrible"

🤬 Open, honest, and furious: “I'm IRATE. The bug happened again.” … “WTF”

Overall, building with AI constantly cycles between magic and maddening. From “I can’t believe that 1-hour human task took only 10 seconds with AI” to “My 11-year-old could tell you that makes zero sense.” 

That’s our reality in early 2026, and I hope sharing the full, unfiltered version is helpful for those dipping their toes into the AI building waters.

Tomorrow: why the skills execs already have are their biggest advantage when building with AI.

#ShowDontTell #JFDI

Everyone says AI requires reskilling. They're only partially right.

The skills that matter most when building with AI aren't technical. They're precisely the skills execs have spent their entire careers developing:

1️⃣ - DEFINE the goal
2️⃣ - SCOPE the boundaries
3️⃣ - PROBLEM-SOLVE when stuff breaks
4️⃣ - REFINE with judgment
5️⃣ - MARKET & SELL from day one

Execs aren’t behind on AI. We’re ahead. We've spent decades building the judgment to manage teams; whether you're directing people or AI, the job is the same.

Same skills, different audience.

The barrier isn't technical ability. It's the belief that there is one. You don't need new skills. You just need to start building.

Full article below. #3 in my ongoing “AI for Execs” series.

#AIForExecs #JFDI

The skills that make execs effective leaders are exactly the same skills needed to build with AI. Execs aren't behind — we're ahead. To show, not tell

Open article: AI For Execs #3: Why Execs Are Ahead, Not Behind by James Raybould • 10 min read

AI For Execs #3: Why Execs Are Ahead, Not Behind

In my triathlon days, the people who got fast weren't the ones who prepared the most. They were the ones who sweat the most. AI is no different.

My LinkedIn feed is littered with AI tips, tricks, and debates about whether to use Replit or Lovable. People preparing to build. Not enough folks sharing what they've built.

Worse, all that preparation isn't neutral. It creates a false sense of progress as you feel like you’re getting better at AI, while in reality, the builders are pulling away from you. 

I've seen this same pattern play out three times before:
1. 🏃 Triathlon: So many bought the gear, read the plans, watched the videos, debated the shoes. Did everything except regularly sweat. And then wondered why they hobbled most of the marathon.

2. 📊 Excel: Most of the Excel experts reading this did a stint in banking or consulting. The 17th VLOOKUP or v21 of the model is where it became muscle memory. We don't need to pull all-nighters to learn to build with AI, but it's a whole lot more fun than deal models and decks ;)

3. 👶 Parenting: the jury is still out on whether our 8- and 11-year-old kiddos become upstanding citizens, but my wife and I didn't learn from YouTube or books. We just showed up every day. Imperfectly but constantly.

And if you're not into endurance sports, Excel, OR parenting — why are you seeing my LinkedIn updates? :)

We learn by doing, not by preparing to do. The gap between "I should use AI to build something" and "I built something" is primarily a sweat gap.

I've learned more from weeks of hands-on building than years of reading.

So stop scrolling and fire up Claude Code this weekend alongside me.
Get sweat on your keyboard.
Even better, embrace Wispr Flow and skip the keyboard altogether.

#JFDI

For a non-coder building solo, AI is already so good that it's almost gotten out of the way. What's left is the part that's always been hard: figuring out what to build and why.

I've shipped ~10 projects over the past few months. So far, the tech hasn’t been the bottleneck on any of them. 5 recent examples:

🔍 Profiler: https://lnkd.in/drcdRyDc — a LinkedIn profile evaluator with the personality of Miranda Priestley. The hard part wasn't anything technical, it was making a fictional character funny and helpful at the same time. That's a voice-and-tone challenge.

🎬 My J-Raytings site scoring every film I’ve seen: https://lnkd.in/drNjqRyz (plus /books and /shows). The hard part was design restraint. With 1,700+ films, there’s endless metadata to show, so the challenge was figuring out where more became less. That’s a UX challenge.

⭐ Kiddo Points — an app for my 8 and 11-year-olds to reward a range of habits. The hard part was making sure the points don't become the point — you want kids doing the right thing because they want to, not because they're chasing a score. That's an incentives challenge.

🤝 Relationships Matter — an app to track and strengthen personal relationships. The hard part was building a scoring model for something as complex as friendship. How do you compare a 10-minute text thread yesterday to a 60-minute lunch 9 months ago — and which one matters more for the relationship? That’s a scoring challenge.

🌍 Finally, I advised our 11-year-old on building a geography app: https://lnkd.in/dWCkYQWU.  His problem? How to teach kids about countries and their culture and characteristics, not just quiz them on where they are on a map. That’s a content challenge.

Every example above is a product decision, not a technical decision. We still need designers and engineers to build for scale, but the barrier to shipping something solo is now almost non-existent.

Last night, I built a working AI tutor for my kids in 90 minutes. They’re my beta testers this weekend. Again, the hard part isn’t the tech stuff. It’s deciding how to blend learning and testing and ensuring the tutor’s tone is engaging. Spoiler alert: you can choose from 8 tutor styles, including the perpetual positivity of Leslie Knope from Parks & Rec and the melodramatic menace of General Zod from Superman II.

Yes, there’s a learning curve with tools like Claude Code to do “scary” things like install Python and Node.js or figure out when to use Vercel and Supabase, but 95% of what I’m finding hard are the same product decisions I wrestled with as a PM for years.

The key difference is that waiting months or quarters to ship has become minutes or hours.

If you’re a PM and you haven’t made Claude Code your BFF yet, get rolling. It’ll remind you why you became a PM in the first place.

And if you’re not a PM, it’s the same deal because AI doesn’t care about your job title. It cares whether you know what problem you’re solving.

#JFDI

Microsoft

Director - Desktop Virtualization - Financial Services & Capital Markets

The modern workplace is evolving at lightning speed, with distributed teams, brand-new business models, and complex security issues. The right digital tools connect and support employees, wherever they are, to encourage productivity, engagement, and collaboration. 

The Microsoft 365 suite of products powers the global, modern workplace with one bundle of products: a smart, efficient operating system, mission-critical enterprise-grade security tools, and seamlessly integrated workplace productivity apps.

Please reach out if you are interested in learning about how Microsoft can transform your organization. Email: craig.canton@microsoft.com Tel: (646) 225-4775

Director, Modern Workplace - Financial Services & Capital Markets

The Top Percentile Collective

Chaired and advised by Steve Meyer, former Chief Commercial Officer - Corporate Executive Board (CEB), The Top Percentile Collective (TPC) is a diverse network of elite sales professionals with a shared passion: Outstanding results for our clients, employers, peers and ourselves. This network, the most selective organization of its kind, amplifies its Members’ impact by providing a powerful platform to connect their collective insights, experience and opportunities for mutual benefit. In short, we support exceptional professionals committed to exceptional outcomes. Together, we aspire to advance the world’s standards for excellence and ethics in sales.

Founding Member

inVest Ventures

I've been excited to partner with the founding team to launch inVest Ventures: our Community VC fund connects LinkedIn alumni founders with LinkedIn employees past and present as not only a source of funding but also a source of advice, relationships, and support. I'm inVested.

Limited Partner

Stage 2 Capital

Stage 2 Capital is a venture capital firm that invests in early stage B2B software companies and sits shoulder to shoulder with leadership teams to operationalize sustainable revenue growth and sales operations. Backed by top go-to-market professionals from leading tech companies, Stage 2 Capital leverages its deep sales expertise to help entrepreneurs scale their businesses in addition to providing capital.

Seismic Software

About Seismic:

Seismic is the leading end-to-end global sales enablement solution. We enable Enterprise Marketing and Sales teams to collaborate, improve close rates and deliver larger deals for sales while increasing marketing’s impact on the bottom line. 

Large enterprises use Seismic to increase sales productivity through the automatic distribution of relevant information and personalized content to reps for any client interaction. Powerful content controls and visibility into usage ensures brand integrity and reduces risk. 

Seismic’s machine learning and analytics capabilities continuously improves the entire enablement process for large enterprises, increasing the ROI of sales content and tying it directly to revenue.  

To learn more about how Seismic is being used by Financial Service firms, visit http://www.seismic.com

Senior Director Global Accounts -- Financial Services 

LinkedIn

Sales has dramatically changed over the last decade. In order to succeed in the current environment, sales leaders and professionals must make better use of digital technology and differentiate themselves from their competition. Used properly, LinkedIn is one of the most powerful digital selling platforms available to the modern sales organization.

My role as a Sales Solutions Relationship Manager is to educate organizations on how to use LinkedIn's Sales Navigator platform to strategically target, understand and engage with their clients and prospects. 

Areas of expertise include B2B Sales Strategy, Digital Sales, Financial & Professional Services (Commercial Insurance, Commercial Real Estate, Commercial Banking and Strategy Consulting) with a focus on helping organizations use digital technology to modernize their sales practices and drive results.

2014 Global Top Performing Relationship Manager
2014, 2015, 2016, 2017 President's Club Qualifier

Senior Enterprise Relationship Manager -- Sales Solutions -- Financial & Professional Services

Democracy Prep Public Schools

Democracy Prep Charter School is the highest performing school in Central Harlem and was ranked the number one public middle school in New York City in 2011. Democracy Prep Public Schools currently operates nine high-performing schools in New York and New Jersey, serving about 2,300 citizen-scholars.  We seek to transform not only the lives of the students at Democracy Prep but also the expectation of what public schools can achieve.

Board Member/Treasurer

New York On Tech

Our mission is to inspire the next generation of tech thought leaders emerging from the borough of Brooklyn, New York. Our organization is committed to developing the interests of students and professionals in the fields of technology by providing them with the resources needed to excel in the techno-centric society they live in today.

Member of the Board

Credit Suisse

As a Fixed Income Relationship Manager at Credit Suisse I developed and executed trading strategies for hedge funds, insurance companies and money managers with a focus on the global rates and securitized product markets.

Relationship Manager -- Global Fixed Income Sales

Spring Hill Capital Partners

Worked with bank, insurance, family office and hedge fund clients to structure and execute trades, in the consumer and non-consumer ABS, CMBS, RMBS, and CDOs markets.

Bank/Insurance Specialist

Throughout my career, I have been passionate about building strong relationships and enabling clients to leverage technology to drive results.

My career started in the financial services industry, where I worked, primarily in sales roles. During that time, I was fortunate to be part of the team that launched the Fixed Income electronic trading desk at ABN AMRO.  The experience helped me recognize how technology had the ability to transform an organization or an entire industry.

At LinkedIn, I was a founding member of the Sales Solution Financial Services team.  In that role, I worked to educate organizations on the power of using technology to leverage relationships and social data to shorten sales cycles and drive revenue.

At Seismic, I worked to help Financial Service organizations streamline their sales and marketing efforts and ensure their sales teams had the right content at the right time to drive results.  

In my current role, at Microsoft, I help financial service firms digitally transform their businesses using the Microsoft 365 suite of productivity, enterprise mobility and security products. 

Areas of expertise include:  Digital Transformation, Sales Enablement, Marketing Enablement, Sales & Marketing Operations,  Sales Process, Change Management, Project Management, Needs Analysis, Software Implementation, Process Improvement, Workflow Improvement, Forecasting, Pipeline Generation, Consultative Sales, Sales Best Practices, Digital Selling.

To learn more about how Microsoft can transform your business and enable your teams, please contact me via LinkedIn message, email: craig.canton@microsoft.com or phone: (646) 225-4775


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Craig Canton

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