Five AI agents, one compounding pipeline

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Research
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Analysis
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Mapping
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Resume
5
Thesis

Each step builds on all previous steps — intelligence compounds, not repeats.

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Step 1

Strategic Due Diligence Brief

Databricks's competitive position — and the three risks that could derail it

A 14-section intelligence brief built from 80+ sources. Not a company overview — a strategic analysis of what Databricks is actually building, where it's vulnerable, and what it means for this role.

This brief shapes every output that follows — and it's your interview prep when you land the meeting.

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Strategic Due Diligence Brief

March 10, 2026

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1. Executive Summary

Section 1 of 14 · Databricks · Principal Product Marketing Manager, Platform Marketing

Databricks is executing a "neutral ground seizure" strategy: by embedding its Data Intelligence Platform as a preferred co-sell partner across all three hyperscaler marketplaces simultaneously, it has made itself the Switzerland of enterprise data infrastructure, trusted by cloud providers who cannot easily displace it without disrupting their own marketplace economics and the enterprise relationships that depend on them. This positioning, combined with open-source stewardship of Apache Spark, Delta Lake, and MLflow, creates a rare dual moat: developer gravity through community adoption and enterprise stickiness through data gravity in the lakehouse. The company now operates at a $5.4 billion revenue run-rate growing above 65% year-over-year [1], making it the fastest-scaling enterprise software company at this revenue level and arguably the most consequential private technology company approaching public markets.

Five insights define the strategic landscape this role enters. First, the "Data Intelligence Platform" rebrand from "Lakehouse" is not product evolution but deliberate category warfare designed to reframe competition on AI-readiness terms where Databricks holds architectural advantage over Snowflake's SQL-first heritage [7]. Second, a measurable gap exists between Databricks' technical documentation depth and its economic-buyer proof points: serverless compute, disaster recovery, and unified billing are mature capabilities with sparse customer-facing ROI evidence, creating exactly the messaging vacuum this role was built to fill. Third, the company's dual-engine growth model, with both data warehousing and AI product lines exceeding $1 billion in run-rate revenue [3], validates the platform integration thesis but also demands unified messaging that product-line-specific teams are structurally unlikely to deliver on their own. Fourth, Databricks' pricing complexity (dual DBU plus cloud compute billing) remains its most consistent competitive objection, yet current platform materials offer no systematic rebuttal with quantified business-case evidence. Fifth, the 2,000-plus engineering organization structured around autonomous feature teams creates a structural messaging fragmentation challenge that is the central organizational reality of this Principal PMM role [42].

Three core risks warrant attention: cloud-native bundling by hyperscalers (zero-egress pricing plus native AI integration) poses a structural threat to Databricks' value proposition for single-cloud-committed enterprises; the pricing premium of 30 to 57 percent over alternatives creates persistent evaluation friction; and the approaching IPO creates dual scrutiny on platform messaging that must simultaneously satisfy competitive aggression and investor-grade coherence.

Three highest-value opportunities emerge: developing the first systematic economic-buyer messaging framework for serverless, DR, and billing capabilities; building a vertical content library enabling partners to co-market platform value by industry; and establishing a cross-product messaging governance model that consolidates the Data Intelligence Platform narrative before IPO scrutiny intensifies.

Over the next three to five years, Databricks will either complete its transformation from a data infrastructure vendor into an enterprise AI operating system, validating a trillion-dollar aspiration, or find its multi-cloud premium compressed by hyperscaler bundling and Snowflake's installed base advantage. The trajectory hinges on whether agentic AI becomes the dominant enterprise computing paradigm quickly enough to justify the platform's current valuation.

This role matters now because Databricks sits at the inflection between private hypergrowth and public-company narrative discipline. The platform story must be unified before the S-1 is filed, cross-cloud messaging must be governed before hyperscaler competition intensifies further, and economic-buyer proof points must exist before the next wave of enterprise renewals. A candidate who frames their value as the architect of messaging governance across a complex matrix, not merely a content creator for cloud marketplaces, will differentiate immediately.

Generated by Telosi · Confidential

This research brief is step 1 of 5.

Keep scrolling to see how it shapes everything that follows.

TheJDsays'ownthemessagingofDatabricksoneachcloudplatform.'TheResearchBrieffound2,000+engineersshippingfromautonomousfeatureteamswithnounifiedmessaginggovernance.Thosearen'tthesameconversation.

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Step 2

Requirements Analysis

8 requirements the job description never mentions — but the hiring manager is evaluating

Cross-referencing the JD against the Research Brief surfaces implicit requirements decoded from Databricks's strategic position, competitive dynamics, and organizational tensions.

Built from Step 1

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Requirements Analysis

Lead · Product Marketing — Platform & Cloud Partner Messaging

Sample

Must-Have Requirements

Databricks · Principal Product Marketing Manager, Platform Marketing

Cloud Platform Messaging Ownership (AWS, Azure, GCP + cross-platform capabilities)

10/10
experience

“Own the messaging of Databricks on each of the cloud platforms (AWS, Azure, and GCP), as well as the messaging for platf...”

Show experience managing differentiated messaging across multiple cloud platform partnerships simultaneously, particularly in co-opetition contexts where partners also compete with your offerings.

Cloud Partner PMM Collaboration

9/10
experience

“Partner with the product marketing teams at cloud partners (Azure, AWS, and GCP) as you develop the platform messaging s...”

Describe developing joint messaging with external partner marketing teams where partner interests diverged from your positioning, and creating templatized frameworks customizable per partner while maintaining narrative integrity.

Cross-Channel Messaging Amplification

8/10
experience

“Amplify the platform-level messaging through Databricks own website and channels, as well as through cloud partners' web...”

Show a track record of building modular content systems that scale across owned and partner channels, with white-label-ready assets that partners could co-brand and customize.

Sales Enablement Delivery with High CSAT

9/10
experience

“Land the platform-level sales enablement content and deliver high CSAT scores with field teams”

Present specific sales enablement assets with measurable adoption and satisfaction metrics, particularly battle cards and ROI frameworks that addressed persistent competitive pricing objections.

Platform Messaging Expertise for Campaigns and Events

8/10
experience

“Be the expert when it comes to any platform-specific platform messaging for any campaign or event Databricks is running,...”

Describe owning messaging for major partner-hosted events, quantify pipeline attribution from event-driven messaging, and show examples of adapting core narratives for different event contexts.

Sponsored Cloud Event Coordination

7/10
experience

“Work with partner marketing teams at Databricks to coordinate our messaging at sponsored cloud events, such as Microsoft...”

Cite specific experience with re:Invent, Ignite, or equivalent cloud vendor events, describing the cross-functional coordination required.

Joint Business Review Participation and Gap Identification

7/10
experience

“Participate in joint business reviews with sales and partner teams, understand gaps where platform marketing can help, a...”

Describe participating in or leading partner business reviews and translating insights into marketing action plans with measurable pipeline impact.

Deliver 10 Customer Stories in Year One

9/10
experience

“Deliver 10 customer customer stories through the first year, highlighting the Databricks Platform capabilities”

Quantify past customer story production volume and describe a repeatable proof-point production methodology, emphasizing stories with quantified business outcomes in dollar terms.

7+ Years PMM Experience at Enterprise Software Company

10/10
experience

“7+ years of product marketing experience at an enterprise software company, preferably including PMM experience at cloud...”

Lead with enterprise software PMM tenure; if you have cloud vendor experience, emphasize how you understand the counterparty's approval processes and incentive structures.

Data, Analytics, and/or AI Domain Knowledge

9/10
domain

“Strong understanding of Data, analytics, and/or AI space”

Reference specific data/AI technologies (Delta Lake, Spark, serverless compute, data governance) and demonstrate ability to articulate the lakehouse vs. warehouse vs. cloud-native competitive landscape.

Technical Marketing Content Creation

8/10
technical

“Experience building technical marketing content”

Present portfolio of technical marketing content (solution briefs, architecture white papers, TCO analyses) and describe collaboration with engineering to validate claims.

Sales Team Collaboration (Field Marketing, Enablement)

8/10
experience

“Experience working with sales teams (field marketing, enablement)”

Describe your operating model for sales collaboration: regular cadence, feedback loops, specific enablement assets created with adoption metrics.

Partner Ecosystem Experience (SI and/or ISVs)

8/10
experience

“Experience working with partners (SI and/or ISVs)”

Describe partner marketing programs built or managed, including co-brandable content, joint solution messaging, and partner sales playbooks with pipeline attribution.

Messaging and Positioning for Enterprise Technical Products

9/10
experience

“have worked on creating messaging and positioning of technical products targeted at the enterprise market”

Present specific messaging frameworks for enterprise technical products, showing multi-persona messaging and resolution of open-source vs. enterprise platform positioning tensions.

Stakeholder Relationship Building

8/10
soft-skill

“can build strong working relationships with stakeholders to deliver joint messaging and GTM plans”

Describe cross-functional consensus-building in matrix organizations with competing priorities; frame approach as governance through shared frameworks and mutual benefit.

Drive Awareness and Adoption

7/10
experience

“helping drive the awareness and adoption of the Databricks Data Intelligence Platform”

Show experience across both top-of-funnel category creation messaging and bottom-of-funnel adoption enablement content, with metrics for both.

TheJDnevermentionsmessaginggovernance.Itnevermentionstheopen-source-to-enterprisetension.ItnevermentionsIPOnarrativecoherence.Thehiringmanagerisevaluatingallthree.

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Step 3

Experience Mapping

Candidate Fit Assessment — honest scoring, not flattery

Every bullet in the resume is scored against the weighted requirements from Step 2. Gaps are surfaced transparently with bridge strategies — not hidden.

Built from Steps 1 & 2
66

Conditional Fit

Candidate Fit Assessment · out of 100

Positioning Thesis

A decade-long arc from enterprise consulting through category-creating CDP and CPaaS platform marketing — spanning Deloitte, HubSpot, Segment, and Twilio — positions this candidate as a rare practitioner who has built and governed messaging and positioning frameworks at each stage of platform maturity, from market entry through post-acquisition narrative consolidation.

4/4

Roles

15

Bullets

65%

Keywords

20 of 25

Reqs

Experience Mapping

CFA: 66 · Conditional Fit

Sample

Top Strengths

Databricks · Principal Product Marketing Manager, Platform Marketing

Platform Messaging Governance at Scale

Advanced

Twilio role (7.8/10, Achievement 9/10) addresses 16 distinct requirements including messaging and positioning, stakeholder management, and competitive positioning — the highest requirement coverage of any included role. The post-acquisition Twilio-Segment coordination across three sales teams and 60-day delivery window demonstrates governance under structural complexity, not just content creation.

Req #3, #9, #13, #15, #17, #19

Category Creation and Analyst Influence

Transformative

Segment role (7.6/10, Achievement 9/10) spans the company's growth from $100M to $200M+ ARR pre-acquisition, with documented Gartner citation and C-suite briefings cited in optimization notes as investor-grade messaging discipline. This is the strongest evidence of category-defining positioning rigor in the profile and directly maps to Databricks' data and AI platform narrative needs.

Req #10, #15, #18, #22

Partner and Ecosystem Marketing Execution

Proficient

HubSpot role (6.4/10) documents partner marketing and co-marketing execution, while Twilio role surfaces 400+ marketplace partner coordination including co-opetition dynamics where marketplace partners competed with Twilio native features. Combined, these roles provide a multi-context partner marketing track record spanning inbound co-marketing through complex ecosystem governance.

Req #3, #13, #23

Data Domain and Technical Platform Fluency

Advanced

Segment role encompasses CDP architecture, data governance via Protocol, 300+ data connectors, and integrations with AWS Redshift, GCP BigQuery, and Azure Synapse. Twilio Engage adds behavioral data and CustomerAI launch experience. This is the deepest data infrastructure marketing evidence in the profile and is currently under-surfaced relative to its strategic value for a Data Intelligence Platform role.

Req #10, #12, #16

Enterprise Sales Enablement with Measurable Pipeline Impact

Advanced

Twilio role explicitly addresses requirements 5, 4, and 10 related to pipeline and enablement, with achievement score of 9/10. Deloitte Digital role (5.2/10, Achievement 7/10) adds a $150M market entry anchor that demonstrates enterprise-scale commercial framing from the earliest career stage, establishing a consistent pattern of enablement tied to revenue outcomes across 11 years.

Req #4, #5, #21, #24

CFAScore:66outof100.ConditionalFit.AcriticalgapinData&AIplatformdomaindepth.Thetooldidn'thideit—itbuiltabridgestrategyaroundit.

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4

Step 4

Curated Resume

A resume built from competitive intelligence, not keyword stuffing

Every bullet was selected and framed because the Research Brief revealed what Databricks actually needs — a messaging governance architect who can unify autonomous teams. Not because it matched a keyword in the JD.

Built from Steps 1–3

Resume content is selected and framed based on scored experience from Step 3, which maps to requirements from Step 2, which were themselves built from the Research Brief. Toggle between the generic application and the research-informed version to see the difference intelligence makes.

Governance

Reframed from generic ‘partner management’ to emphasize messaging coordination across independent teams.

Co-opetition

400+ marketplace partners where partners built on Twilio while competing with native features — structurally analogous co-opetition.

Proof Points

Customer evidence program framed as a proof-point production system, not a one-off marketing project.

IPO Ready

Segment’s growth from $100M to $200M+ ARR framed as investor-grade positioning rigor — language calibrated for IPO context.

Curated Resume

Research-informed

Sample

Sarah Chen — Principal Product Marketing Manager

Databricks · Built from Steps 1–3

Sarah Chen

Platform Marketing Leader | Messaging Governance & Category Creation | Data & AI Platform Ecosystems

San Francisco, CA | sarah.chen@email.com | 415-555-2847 | linkedin.com/in/sarahchen-example

PROFESSIONAL SUMMARY

Platform marketing leader who builds messaging and positioning frameworks that unify autonomous product teams around coherent narratives — then arms field organizations to win with them. Over 9+ years in enterprise product marketing, I've progressed from strategic consulting through category-defining work at Segment, where I authored the messaging framework Gartner cited in their CDP Market Guide, to leading platform and ecosystem marketing across Twilio's 400+ partner marketplace. My career has been a deliberate arc through data infrastructure, developer platforms, and partner ecosystems — each role deepening my ability to translate complex technical architectures into go-to-market strategies that serve technical practitioners and economic buyers simultaneously. I thrive in influence-without-authority environments where governance is earned through framework quality, cross-functional trust, and measurable pipeline impact.

KEY ACHIEVEMENTS

•Authored Segment's category-defining 'Customer Data Infrastructure' messaging framework, adopted company-wide and cited by Gartner in their CDP Market Guide as representative positioning

•Built enterprise customer evidence engine producing 25+ published case studies, 12 video testimonials, and 8 conference keynote customer stories featuring Instacart, IBM, Bonobos, and Atlassian

•Created positioning framework for Twilio Engage (CDP + marketing automation), translating complex data architecture into enterprise value propositions — contributed to 47% YoY growth in Engage pipeline

•Orchestrated post-acquisition GTM for Twilio-Segment integration across two product organizations, three sales teams, and joint analyst briefings — delivered unified messaging and positioning within 60 days

•Own messaging governance across 6 product lines, producing competitive intelligence reports used by 200+ sales reps and featured in executive QBRs

CORE COMPETENCIES

Platform Marketing Strategy, Messaging & Positioning Governance, Enterprise Product Marketing, Data & AI Platform GTM, Partner & Ecosystem Marketing, Category Creation & Competitive Intelligence, Sales Enablement, Customer Evidence Programs, Technical Marketing Content, Cross-Functional Leadership, Cloud Platform Ecosystem Strategy, Stakeholder Management

PROFESSIONAL EXPERIENCE

Senior Product Marketing Manager, Platform & Ecosystem — Jan 2022 - Present

Twilio | San Francisco, CA

•Own full-funnel platform marketing and go-to-market strategy for Twilio's developer platform and partner ecosystem — including Marketplace, Segment Integrations Hub, and third-party application listings — coordinating messaging and positioning across 400+ marketplace partners

Why this framing

The Research Brief revealed Databricks has 2,000+ engineers in autonomous feature teams with no unified messaging governance. This bullet was reframed from generic 'partner management' to emphasize messaging coordination across independent teams — the exact skill the role demands.

Research Brief, Section 1 & 8

•Developed and executed GTM strategy for Twilio's Native Application Framework launch, driving 3,200+ developer sign-ups in first 90 days and establishing a new revenue channel for ISV partners building on Twilio infrastructure

•To address fragmented enterprise buyer messaging, created positioning framework and sales enablement materials for Twilio Engage (CDP + marketing automation), translating complex data architecture concepts into clear value propositions — contributed to 47% YoY pipeline growth

•Govern messaging and competitive positioning across 6 product lines, producing quarterly competitive intelligence reports adopted by 200+ sales reps and featured in executive QBRs

•Partnered with Developer Relations, Product, Sales, and Alliances to coordinate launch activities — led cross-functional war rooms for 4 major product launches including CustomerAI and Unified Profiles

•Built analytics dashboard tracking marketing-influenced pipeline by campaign, content type, and developer segment — identified that technical blog content drove 3.2x higher conversion than webinars for enterprise prospects

Product Marketing Manager — Mar 2019 - Dec 2021

Segment (acquired by Twilio) | San Francisco, CA

•Authored Segment's category-defining 'Customer Data Infrastructure' messaging framework, adopted company-wide and cited by Gartner in their CDP Market Guide — establishing investor-grade positioning rigor during the company's growth from $100M to $200M+ ARR

•Managed GTM for the Twilio-Segment integration post-acquisition, coordinating messaging and positioning across two product organizations, three sales teams, and joint analyst briefings — navigating competing stakeholder interests to deliver unified positioning within 60 days of close

•Launched Segment's Protocol product (data governance for customer data), developing technical content strategy that generated 4,500+ MQLs in first quarter — top-performing product launch in company history

•Produced scalable customer evidence program: 25+ published case studies, 12 video testimonials, and 8 conference keynote customer stories featuring brands including Instacart, IBM, Bonobos, and Atlassian

•Established competitive intelligence function from scratch, building win/loss analysis across 150+ enterprise deals and delivering monthly competitive landscape briefings to C-suite

Product Marketing Associate -> Product Marketing Manager — Jun 2016 - Feb 2019

HubSpot | Cambridge, MA -> Remote

•Developed go-to-market playbook for HubSpot's App Partner Program — including tiered co-marketing frameworks, partner onboarding content, and joint webinar series — driving 60% increase in partner-sourced leads

•Led messaging, positioning, and launch for HubSpot's CMS Hub, creating technical documentation, developer tutorials, and community content — CMS Hub reached 10,000 customers within first year

Senior Consultant, Digital Marketing Strategy — Aug 2014 - May 2016

Deloitte Digital | Boston, MA

•Led market sizing and competitive analysis for a $2B enterprise software company's entry into marketing automation — recommendations adopted by C-suite and informed $150M product investment

•Developed customer segmentation and persona frameworks for 3 enterprise clients, translating primary research (40+ stakeholder interviews per engagement) into actionable positioning strategies for multi-persona buying committees

EDUCATION

Northwestern University, Kellogg School of Management — MBA, Marketing & Strategy — Evanston, IL | 2012 - 2014

University of Michigan — B.S., Industrial & Operations Engineering — Ann Arbor, MI | 2008 - 2012

SKILLS & TOOLS

Salesforce | HubSpot | Marketo | Amplitude | Looker | Google Analytics | Figma | Asana | Notion

SELECTED SPEAKING & PUBLICATIONS

•Keynote, SaaStr Annual 2023: "Building Platform Ecosystems That Scale: Lessons from 400 Marketplace Partners"

•Published in Harvard Business Review (online): "Why Developer Experience Is the New Competitive Moat" (2022)

•Panelist, Product Marketing Alliance Summit 2023: "GTM for Technical Products: Bridging the Developer-Buyer Gap"

Generated by Telosi | Confidential

Page 1 of 2

Thegenericresumesays'productmarketingleaderindeveloperplatformsandB2BSaaS.'Theresearch-informedresumesays'messaginggovernanceacrossautonomousproductteamsinData&AIPlatformEcosystems.'Sameexperience.Differentsignal.

5

Step 5

Candidate Thesis

A cover letter that opens with the finding no other applicant discovered

The opening hook isn't generic enthusiasm — it's a specific diagnostic about Databricks's messaging governance gap that demonstrates the kind of thinking the role demands.

Built from Steps 1–4

The cover letter synthesizes research findings, requirements analysis, experience mapping, and resume positioning into a strategic narrative that connects the candidate's specific experience to the company's most pressing needs.

Governance

That gap is not a content problem. It is a messaging governance problem, and closing it is the work I have spent my career learning how to do.

Co-opetition

The co-opetition dynamic adds a layer I navigated at a smaller scale when Twilio marketplace partners simultaneously built on and competed with native platform features.

Proof Points

Building a repeatable proof-point engine that generates quantified ROI evidence at a pace that supports competitive selling.

IPO Ready

The investor-grade narrative coherence an approaching IPO demands.

Candidate Thesis

Research-informed

Sample

Sarah Chen — Principal Product Marketing Manager, Platform Marketing

Databricks · March 10, 2026

Sarah Chen San Francisco, CA | sarah.chen@email.com | 415-555-2847 | linkedin.com/in/sarahchen-example

March 10, 2026

Hiring Team Databricks

Dear Hiring Team,

Databricks has built a $5.4 billion platform with technical documentation that earns deep respect from practitioners, yet a visible gap persists between that engineering depth and the economic-buyer proof points that move enterprise procurement decisions. Serverless compute, disaster recovery, and unified billing are mature capabilities with sparse customer-facing ROI evidence. That gap is not a content problem. It is a messaging governance problem, and closing it is the work I have spent my career learning how to do. I am applying for the Principal Product Marketing Manager, Platform Marketing role because the challenge at its center matches the specific skill I have built across nine years of enterprise product marketing: unifying platform narratives across autonomous teams, then translating them into sales enablement and customer evidence that field organizations actually use.

The closest analog in my experience is the Twilio-Segment integration, where I had to reconcile messaging across two product organizations with independent roadmaps, three sales teams with competing pipeline incentives, and analyst relationships that demanded a coherent story. The lesson that stuck was structural: governance does not come from authority in a matrix organization. It comes from building a messaging framework useful enough that teams adopt it because it makes their own work easier. At Databricks, where 2,000-plus engineers ship from autonomous feature teams and three hyperscaler partnerships each require cloud-specific positioning that cannot contradict the others, that principle scales directly. The co-opetition dynamic adds a layer I navigated at a smaller scale when Twilio marketplace partners simultaneously built on and competed with native platform features. Knowing where to draw the line between differentiation and partner respect, especially across AWS, Azure, and GCP co-sell motions, is not a nice-to-have for this role. It is the core discipline.

Why this framing

This paragraph directly maps the Twilio-Segment integration experience to Databricks’ autonomous team structure and hyperscaler co-opetition — both decoded as implicit requirements from the Research Brief, not stated in the JD.

Requirements Analysis, Decoded Requirements #2 & #3

The job description asks for ten customer stories in year one. What I see is a larger opportunity: building a repeatable proof-point engine that generates quantified ROI evidence for serverless, governance, and billing at a pace that supports competitive selling and the investor-grade narrative coherence an approaching IPO demands. At Segment, the customer evidence program I built produced over 25 published case studies, but the real value was the production methodology, a system that made proof points a continuous output rather than a periodic project. Databricks needs that system before the next wave of enterprise renewals, and before S-1 scrutiny tests whether the Data Intelligence Platform story holds across every audience simultaneously.

I would welcome a conversation about how a platform messaging governance model could consolidate the cross-product narrative ahead of cloud partner events like Ignite and re:Invent, where the tension between partnership and competitive positioning is highest and the cost of fragmented messaging is most visible.

Sincerely,

Sarah Chen

Generated by Telosi | Confidential

Page 1 of 1

Insight Threads

Four findings. Five outputs each. Watch intelligence compound.

Each thread surfaces in research and requirements analysis, then compounds through every subsequent output — shaping scoring, resume framing, and the cover letter narrative.

1Research

Section 8.2 — Culture

“The company’s 2,000-plus engineers are organized into feature teams with independent product roadmaps. This autonomy drives innovation velocity but creates the messaging fragmentation that defines the Platform PMM’s central challenge.”

2Requirements

Must-Have Req #14

“The JD requires enterprise-grade messaging and positioning expertise — scored 9/10, reflecting the structural complexity of unifying messaging across Databricks’ autonomous product teams.”

Decoded Requirement #2

“2,000+ engineers in autonomous feature teams with no unified messaging governance framework — must build governance from scratch.”

3Scoring

Top Strength #1

“Post-acquisition Twilio-Segment coordination across three sales teams and 60-day delivery window demonstrates governance under structural complexity.”

4Resume

Resume bullet framing

“Reframed from generic ‘partner management’ to emphasize messaging coordination across independent teams.”

5Cover

Opening hook

“That gap is not a content problem. It is a messaging governance problem, and closing it is the work I have spent my career learning how to do.”

28 minutes.

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