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ai transformation specialist Jobs in San Francisco

ai transformation specialist

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analyst, solutions management Jobs in San Francisco

analyst, solutions management

data analyst, gtm

data analyst gtm

Anthropic

<div><div><h2 class="jobSectionHeader">About Anthropic</h2>

Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</div><div><h2 class="jobSectionHeader">
About the role</h2>

The Opportunity is where our sellers live: it's the center of gravity for pipeline, forecasting, and how leadership reads the business. This role owns how Anthropic's core sales motion is represented in Salesforce: how deals are tracked, how pipeline is managed, how the sales team itself is structured and credited in system, and how forecasting rolls up to leadership.

We're looking for someone who operates at the intersection of three things: a strategist who can sit with sales leadership and shape how they want to understand the business, an analyst who can turn that into rigorous process and data design, and a builder who's comfortable enough in Salesforce to ship meaningful parts of it themselves. You can move fluidly between whiteboard, requirements doc, and admin console. You'll partner deeply with RevOps on the operating model and with our Salesforce developers on anything that needs code, but you'll be the named owner of the Opportunity domain and the person sales leadership calls when they want to change how the funnel works.
<h2 class="jobSectionHeader">
Key responsibilities</h2>
<ul>
<li>Own the design of the Opportunity lifecycle in Salesforce: stages, sales process, exit criteria, key fields, and the automation and guardrails that keep pipeline data trustworthy
</li>
<li>Partner with sales leadership on the forecasting motion; design and iterate on native Salesforce forecasting and pipeline inspection to match how the business actually rolls up, and make the tradeoff calls on what sellers enter versus what insight that data unlocks
</li>
<li>Partner with RevOps to systematize how the sales team is represented and credited: opportunity ownership, team selling, splits, overlays, and the territory and role structures those depend on
</li>
<li>Operationalize the sales methodology in system, turning qualification frameworks and stage discipline into fields, validation, scoring, and in-context guidance that sellers actually use
</li>
<li>Own account planning and whitespace as part of the core sales motion: how account plans, coverage, and opportunity identification are captured and connected to pipeline
</li>
<li>Act as data-model steward for Opportunity and its closest neighbors: the named approver for new fields, automation, and integrations touching the object, and the keeper of why each one exists
</li>
<li>Build and ship declarative solutions yourself where that's the right call, and write specs clean enough that our developers can build the rest without five rounds of clarification
</li>
<li>Own the seams to adjacent domains (quote-to-cash, partner attribution, renewals, lead handoff) so the seller experience is coherent end to end even where the build sits with another team
</li>
<li>Evaluate and configure tooling that accelerates in-pipeline work: deal inspection, activity capture, mutual action plans, guided selling
</li>
<li>Run discovery, UAT, enablement, and adoption measurement for everything you ship; set the bar for how BSA work is done on this team
</li>
</ul><h2 class="jobSectionHeader">Minimum qualifications</h2>
<ul>
<li>Experience in GTM/Revenue systems as a Business Systems Analyst, Sales Systems Lead, or RevOps Systems role, with real ownership of the Opportunity, pipeline, and forecasting domain
</li>
<li>Experience designing and rolling out an Opportunity stage model, sales methodology, or forecasting motion at a fast-growing company, owning it from discovery through enablement and adoption
</li>
<li>Credibility with sales leaders: you've been in the forecast call, you understand pipeline coverage, conversion, slippage, and commit, and you can push back on a VP when there's a better answer
</li>
<li>Hands-on Salesforce skills, with comfort building meaningful parts of your own solution (Flow, validation, page and Path design, forecasting setup) and specs that make the handoff to developers clean
</li>
<li>Crisp communication across sellers, sales leadership, RevOps, and engineers, adjusting altitude for each
</li>
</ul><h2 class="jobSectionHeader">Preferred qualifications</h2>
<ul>
<li>8+ years of experience in GTM/Revenue systems roles
</li>
<li>Salesforce Administrator certification
</li>
<li>Advanced Administrator, Business Analyst, or Sales Cloud Consultant certification
</li>
<li>Experience partnering with RevOps or Sales Strategy on team-structure questions (ownership, splits, overlays, territory) and turning those decisions into working system design
</li>
<li>Curiosity about AI-assisted systems work and eagerness to fold it into how you design, build, and document; prior hands-on use is a strong plus
</li>
</ul></div><div><div><div><div>The annual compensation range for this role is listed below.

For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</div></div>
Annual Salary:
$270,000 - $310,000 USD</div></div><div><h2 class="jobSectionHeader">
Logistics</h2>

Minimum education: Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 
 
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
<h2 class="jobSectionHeader">
How we're different</h2>

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
<h2 class="jobSectionHeader">
Come work with us!</h2>

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.</div></div>

Business System Analyst Lead, Opportunity Acceleration

Visa

<div>About Us 
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale &mdash; tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters &ndash; to you, to your community, and to the world. Progress starts with you.
Job Description
Company Description:
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose &ndash; to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
You&rsquo;re an Individual. We&rsquo;re the team for you. Together, let&rsquo;s transform the way the world pays.
Job Description:
Visa is seeking a Director to lead the development and commercialization of Affluent-focused Marketing Services offerings, a key corporate priority aimed at increasing Visa&rsquo;s revenue, share of spend and engagement with high-value consumer segments, with a primary focus on advancing Visa Infinite experiential value propositions through Marketing Services.
This role will act as a central partner across Global Sponsorships, Product, and Marketing Services to translate Affluent Product strategy and Sponsorship &amp; Experiential assets into clear, scalable client-ready solutions, sales plays and go-to-market materials. This includes identifying and developing new partnership opportunities that can be translated into differentiated Marketing Services offerings.
This individual will also play a critical role in defining and operationalizing the Affluent Marketing Services model end-to-end, establishing clear ways of working, ownership, and cross-functional alignment across teams.
The ideal candidate will bring strong critical thinking, combined with deep expertise in the affluent segment, commercialization, along with the ability to translate diverse sponsorship &amp; partnership assets into compelling, differentiated value propositions for high-value audiences.
About Marketing Services (MS)
Marketing Services is Visa&rsquo;s global B2B marketing solutions practice, focused on driving incremental revenue and client engagement by commercializing Visa&rsquo;s marketing expertise, developing scalable, client-facing offerings, and activating Visa&rsquo;s sponsorships to deliver best-in-class solutions for our clients.
Essential Functions:
Drive Affluent (Visa Infinite) go-to-market strategy and execution<ul><li>
Act as a connector and partner with the Affluent Product team and Global Sponsorship team to translate product strategy, sponsorship &amp; experiential assets into Marketing Services sales plays</li><li>
Develop and maintain clear, actionable GTM materials (pitch decks, narratives, case studies, pricing frameworks)</li><li>
In partnership with Global Sponsorships, identify and package sponsorship assets across key properties (e.g., VCARB, ORBR, FWWC27, LA28, Music etc.) into scalable, Visa Infinite&ndash;relevant offerings and sales plays</li></ul>
Drive commercialization and partnership-led growth<ul><li>
Partner with Product teams to identify strategic partnership opportunities and new business that enhance Marketing Services offerings</li><li>
Translate partnership opportunities into clear, sellable solutions by developing value propositions and GTM materials for Marketing Services teams</li><li>
Incorporate market feedback and performance insights to continuously refine offerings and improve commercial outcomes</li></ul>
Define and operationalize Affluent ways of working<ul><li>
Establish the operating model for how Affluent Marketing Services integrates across sponsorships, product, and regional teams</li><li>
Define clear roles, responsibilities, and engagement models to reduce duplication and improve speed to market</li><li>
Drive execution against this model, ensuring consistent adoption across teams and workstreams</li></ul>
Develop storytelling and executive-ready materials<ul><li>
Build compelling narratives that clearly articulate the value of affluent-focused marketing solutions</li><li>
Support senior leadership updates and key stakeholder engagements</li></ul>
Support performance tracking and optimization<ul><li>
Define and track key performance indicators for Affluent Marketing Services offerings</li><li>
Leverage data to assess performance, identify opportunities, and inform ongoing optimization of offerings and GTM strategies</li><li>
Compile case studies that help support commercialization of Affluent offerings</li></ul>
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office two days a week, Tuesdays and Wednesdays with a general guidepost of being in the office 50% of the time based on business needs.
Qualifications
Qualifications:
Basic Qualifications:<ul><li>
10+ years of experience in marketing, commercialization, consulting, or related fields</li><li>
Bachelor&rsquo;s degree required</li></ul>
Preferred Qualifications:<ul><li>
12 or more years of experience with a Bachelor&rsquo;s Degree or 10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 6+ years of experience</li><li>
Experience in Marketing Services, Sponsorship &amp; Partnership marketing, Experiential Marketing or client-facing commercialization roles</li><li>
Strong understanding of affluent/high-value consumer segments and drivers of engagement</li><li>
Excellent storytelling and presentation skills, with experience developing executive-level materials</li><li>
Proven ability to develop and bring to market new offerings or sales strategies</li><li>
Demonstrated ability to operate in ambiguous environments and build structure from scratch (e.g., defining operating models, ways of working, or new processes)</li><li>
Strong critical thinking and problem-solving skills</li><li>
Advanced proficiency in Microsoft PowerPoint and Excel</li><li>
Strong working knowledge of basic data analysis and performance measurement to track and optimize business outcomes</li><li>
Highly organized and able to manage multiple complex projects independently in a fast-paced, matrixed environment</li></ul>
Additional Information
Work Hours (Optional)<ul><li>
Varies upon the needs of the department.</li></ul>
Travel Requirements<ul><li>
This position requires travel 5-10% of the time.</li></ul>
Physical Requirements
<ul><li>This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers, and reach with hands and arms.</li></ul>
EEO Statement<ul><li>
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.</li></ul>
U.S. Applicants Only
The estimated salary range for this position is $178,300.00 to $ 285,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.
Work Hours
Varies upon the needs of the department.
Travel Requirements
This position requires travel 5-10% of the time.
Mental/Physical Requirements
This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law, including the requirements of Article 49 of the San Francisco Police Code.</div>

Director, Marketing

NOOKS

<div><h1 class="jobSectionHeader">About Nooks.ai:</h1>
Nooks is an applied AI lab building the Agent Workspace for GTM. We design AI agents that operate across the full sales action set, from account strategy to prospect research and outreach. Building 0 1 has never been easier, but selling at the speed of the market remains the last frontier for AI. Our mission is to 10x every seller by automating the busywork so they can focus on what humans do best: closing deals.
Today, over 1,500 customers run on Nooks, including Notion, HubSpot, Cursor, and Rippling. We&rsquo;ve raised $70M+ from top VCs like Kleiner Perkins, which made its first sales-tech investment in over a decade with us. Since then, we&rsquo;ve tripled ARR each year for 3 years running and grown a high-caliber team turning the art of sales into a scalable science.<h2 class="jobSectionHeader">
About the Role</h2>
Nooks is the Agent Workspace for Sales, where reps and AI agents execute and decide next moves together across 1M+ interactions per day. As our second security engineer, you'll help secure a fast-growing, AI-native platform and the customer data that flows through it &mdash; across a rapidly expanding set of product surfaces. This is a foundational, high-ownership role: you'll shape our security program from the ground up, including the novel challenge of securing AI agents and how they're used within organizations.
What You'll Do<ul><li>
Own security reviews and threat modeling for new and existing product surfaces.</li><li>
Build and improve core security processes (secure SDLC, detection &amp; response).</li><li>
Harden our cloud and application infrastructure and drive remediation of high-priority risks.</li><li>
Help define how we secure AI agents and govern their use &mdash; guardrails, data exposure, prompt-injection and abuse risks.</li><li>
Support enterprise customer trust: security questionnaires, compliance (SOC 2), and customer-facing security needs.</li><li>
Partner closely with product and infra engineering to embed security into how we ship.</li></ul>
What You Bring<ul><li>
4 - 5+ years of hands-on information security experience.</li><li>
Experience at a startup or early-stage company; comfort with ambiguity, autonomy, and high ownership.</li><li>
Strong fundamentals in application and/or cloud security (AWS/GCP).</li><li>
Pragmatic judgment &mdash; able to prioritize risk and do more with less.</li><li>
Clear communication and a collaborative, low-ego style.</li></ul>
Nice to haves<ul><li>
Experience securing AI agents / LLM systems or governing AI agent use within an organization.</li><li>
Enterprise compliance experience (SOC 2, ISO 27001).</li></ul>
At Nooks You'll Enjoy<ul><li>
An early seat on a small, high-leverage security team. You'll be one of our first security hires and help build out the function &mdash; its standards, tooling, and threat models &mdash; owning whole domains end-to-end as Nooks scales across many more product surfaces, with a clear path to grow into a senior or lead role.</li><li>
A world-class team to build it with. Around 70 engineers, mostly former founders or founding engineers and veteran builders from places like Applied Intuition, Scale, Airtable, Citadel, and Jane Street, with thirteen Olympiad medals across the team. You'll partner with them to make security a first-class part of how we ship.</li><li>
Frontier security problems. Securing AI agents and how they operate inside organizations is largely unsolved territory &mdash; you'll help define how it's done.</li><li>
Top-of-market compensation.</li></ul>
We offer competitive compensation because we want to hire the best people and reward them for their contributions to our mission. We pay all employees competitively relative to market. In compliance with pay transparency laws and in pursuit of pay equity and fairness, we publish salary ranges for our open roles. The target salary range for this role is $200,000 - $315,000. On top of base salary, we also offer equity, generous perks and comprehensive benefits.<h2 class="jobSectionHeader">
Equal Employment Opportunity Statement</h2>
Nooks is an equal opportunity employer committed to fostering a diverse and inclusive workforce. We believe in providing equal employment opportunities to all individuals regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law.
Nooks does not discriminate in hiring, promotion, compensation, or any other employment practices, and we are committed to ensuring a workplace that is free from discrimination, harassment, and retaliation. We encourage individuals from all backgrounds to apply and join our team.
Compensation Range: $200K - $315K</div>

Security Engineer

Cushman & Wakefield

<div>Job Title
Financial Analyst, Capital Markets (Multifamily)
Job Description Summary
Position Summary: The Capital Markets Financial Analyst (&ldquo;CMFA&rdquo;) Hub Analyst will support transactions generated by Cushman &amp; Wakefield&rsquo;s Investment Sales brokerage services specializing in multifamily investments. The primary role of the CMFA will be to perform financial analysis activities of pricing, Excel valuation model creation and auditing, due diligence collection and review, market data collection, and translating analysis findings into high-level summaries with oversight from senior members of the Multifamily Advisory Group (&ldquo;MAG&rdquo;).
 
The ideal candidate will be based in San Franscisco and available to work on-site in a local Cushman &amp; Wakefield office. Team members may be expected to work outside normal operating hours to meet project deadlines.
Job Description
Essential Duties<ul><li>
Support the execution of MAG Broker team financial analysis and valuation modeling requests, including scenario analyses</li><li>
Prepare pro forma statements, discounted cash flow analyses, and Excel-based financial models with consideration of market conditions (both current historical)</li><li>
Conduct audits of existing financial models for accuracy of model inputs and validity of assumptions</li><li>
Perform extensive research, including but not limited to, reviewing and analyzing financial reports, studying comparable properties, collect information on the immediate area (demographics) and overall market; synthesize findings in a clear, concise manner</li><li>
Develop high-level analysis summaries by identifying transaction considerations (strengths/weaknesses), trends, outliers, and logical inconsistencies</li><li>
Assist with the drafting and preparing of Offering Memorandums, Broker Opinion of Value, and/or Request for Proposals</li><li>
Communicate professionally to clients in the execution phase of the sales process (including assisting with Marketing Timelines, Scheduling Tours, Weekly Activity Reports, etc.)</li><li>
Demonstrates continual development of cash flow and Excel-modeling skills and competencies. Deliverables will increase in complexity and scope over time in the role.</li><li>
Prepares clear concise summary documentation and spreadsheets that support and explain the basis of the analyses for use in client presentations, proposals and/or reports</li><li>
Review tenant leases to abstract key data points and identify areas of issue/concern that will have an impact on the real estate financial analysis, as applicable for mixed use opportunities</li><li>
Maintain owner database and track loan maturities for Business Development.</li><li>
Maintain rent and sales comp database</li><li>
Review analyses with deal team, answer clarifying questions and make accurate revisions</li><li>
Participation in internal and external stakeholder meetings to present and discuss their analyses</li><li>
May assist with market research of prospective transactions</li><li>
Participates in broker team calls and meetings, as needed</li><li>
Performs other related duties as required or as requested</li></ul>
Other Requirements &amp; Administrative Duties<ul><li>
Bachelor&rsquo;s Degree (Business, Finance, Accounting, Real Estate, etc.) preferred</li><li>
Combination of education without a degree and corporate work experience may be considered</li><li>
0-2 years of financial analysis and Excel modeling experience, Capital Markets and/or multifamily underwriting experience a plus</li><li>
Experience with creating or constructing discounted cash flow models in Excel</li><li>
Client-service oriented mindset with a passion for producing a high-quality work product, meeting deadlines and client expectations</li><li>
Highly proficient in Microsoft Office Suite. Advanced knowledge in Microsoft Excel a plus.</li><li>
Experience with Salesforce, and CoStar and Axiometrics market research data a plus</li><li>
Strong analytical skills with high attention to detail and accuracy</li><li>
Ability to write effectively and succinctly for use in marketing deliverables, or other internal stakeholders</li><li>
Good time management and organization skills</li><li>
Ability to balance and prioritize multiple priorities in a high-volume, fast-paced environment</li><li>
Growth oriented mindset, desire to learn more and shares knowledge to help others succeed</li></ul> 

Cushman &amp; Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements. 

The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate&rsquo;s experience and qualifications. 

The company will not pay less than minimum wage for this role. 

The compensation for the position is: $ 72,250.00 - $85,000.00
Cushman &amp; Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.
In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman &amp; Wakefield, please call the ADA line at 1-888-365-5406 or email Accommodations@cushwake.com. Please refer to the job title and job location when you contact us.
INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Financial Analyst, Capital Markets (Multifamily)

Commure

<div>At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs.
Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission.
Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here.
The future of healthcare is being built right now. Come deliver this transformation.
About the Role
We're hiring a Director of Growth to architect and operate our growth engine from the ground up &mdash; hands‑on. This isn't a &quot;manage the agency&quot; role. You'll be the one designing the system, wiring the stack, running the experiments, and shipping the assets. You think in funnels and frameworks, build measurement infrastructure before you launch campaigns, and treat go-to-market as an engineering discipline: instrument, test, iterate, scale.
You'll work directly with Sales, RevOps, Product, and Brand to turn signal into pipeline &mdash; and you'll be the one who actually builds the things that make that happen. This will be a high-visibility role with incredible growth opportunities.
What You'll Do
Full-Funnel Growth System Ownership<ul><li>
Design and own the full‑funnel growth architecture: paid (search, social, programmatic, video), organic (SEO, content, web), ABM, partnerships, and referral.</li><li>
Build the experimentation infrastructure &mdash; test frameworks, audience segmentation, offer variants, landing page scaffolding &mdash; and run rapid learning cycles.</li><li>
Engineer the demand‑to‑pipeline path: ICP definitions, routing logic, handoff SLAs, and Sales feedback loops.</li><li>
Identify new channels and build the playbook before you scale spend.</li></ul>
Growth Stack &amp; Analytics<ul><li>
Instrument the growth funnel end‑to‑end across Salesforce, HubSpot, GA4, Webflow/CMS, and attribution/BI tooling.</li><li>
Partner with RevOps and Analytics to establish taxonomy, data hygiene standards, experimentation frameworks, and attribution models that hold up under scrutiny.</li><li>
Build dashboards and reporting infrastructure that make the &quot;what's working&quot; question answerable in real time &mdash; and translate results into insights, next actions, and investment guidance for Marketing and GTM leaders.</li></ul>
The Creative System<ul><li>
Translate the brand narrative into a modular creative system: reusable components, briefing templates, concept libraries, and asset testing frameworks.</li><li>
Brief internal partners and external agencies with enough precision that output is consistent and on-brand without requiring constant oversight.</li><li>
Ensure every touchpoint &mdash; ads, pages, nurture, physical &mdash; reinforces positioning and elevates trust.</li></ul>
Agency &amp; Vendor Operations<ul><li>
Build the operating model for external partners (media, creative, CRO, SEO): clear briefs, performance expectations, and accountability structures.</li><li>
Negotiate scope, track outcomes, and keep learning velocity high.</li></ul>
Cross-Functional Alignment<ul><li>
Serve as the DRI for growth: set strategy, run the operating cadence, and align Sales, RevOps, Product, and Brand around clear priorities and decision criteria.</li><li>
Build influence without line authority &mdash; turn cross‑functional stakeholders into an integrated growth squad.</li><li>
Maintain a transparent roadmap and experiment backlog; communicate trade‑offs and learnings frequently.</li></ul>
What You Have<ul><li>
Senior, hands‑on experience building integrated growth programs in B2B SaaS; healthtech experience a plus.</li><li>
You're equally comfortable instrumenting a funnel as writing a high‑conversion brief &mdash; you've shipped real things in both modes.</li><li>
Strong systems instinct: you design processes, taxonomies, and operating cadences that other people can actually use.</li><li>
You influence without authority, move fast with incomplete information, and maintain high standards while doing it.</li><li>
A bias toward building: when something doesn't exist, you make it.</li></ul>
Nice to Have<ul><li>
Built ABM motions in close partnership with Enterprise and Mid‑Market Sales.</li><li>
Run product‑led and sales‑led motions in parallel.</li><li>
Worked with data science on incrementality testing or advanced attribution.</li><li>
Scaled a performance creative system across channels &mdash; briefing, asset libraries, structured testing.</li></ul>
Please be aware that all official communication from us will come exclusively from email addresses ending in @getathelas.com, @commure.com or @augmedix.com. Any emails from other domains are not affiliated with our organization. 
Employees will act in accordance with the organization&rsquo;s information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.
Compensation Range: $160K - $200K</div>

Director, Growth

<div><div><h2 class="jobSectionHeader">About Anthropic</h2>

Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</div><div><h2 class="jobSectionHeader">
About the role</h2>

As a Salesforce Developer at Anthropic, you will design, build, and maintain the Salesforce platform that powers our Partnerships business: deal registration, partner attribution, co-sell, and cloud marketplace operations. You'll work both autonomously and collaboratively across Revenue Operations, Partnerships, and Finance to translate partner-channel requirements into scalable Apex, Flow, and integration solutions. We are an AI-first systems team, and you'll be expected to use Claude and our in-house AI development tooling as a core part of how you write, review, and ship code, always against our house standards for flexibility, maintainability, and scale.
<h2 class="jobSectionHeader">
Key responsibilities</h2>
<ul>
<li>Design and build Partnerships infrastructure in Salesforce, including deal registration workflows, channel-conflict detection, partner attribution, and partner account hierarchy
</li>
<li>Develop and maintain Apex (triggers, services, selectors, batch/queueable), Lightning Web Components, and Flow automation following our house Apex standards and trigger framework
</li>
<li>Build and own integrations between Salesforce and partner-ecosystem systems such as cloud marketplaces (AWS, GCP, Azure), PRM tools, and middleware
</li>
<li>Configure partner-facing portals with appropriate sharing, visibility, and license-model design
</li>
<li>Use Claude and our internal AI development tooling as a first-class part of your build and code-review workflow
</li>
<li>Partner with Revenue Operations analysts to ensure data-model decisions support downstream partner performance reporting
</li>
<li>Partner with DevOps on release management for your work: sandbox strategy, source control, peer review, and deployment via SFDX/metadata tooling
</li>
<li>Ensure appropriate controls, test coverage, and documentation are in place for an effective control environment
</li>
<li>Operate with ambiguity in a rapidly changing business, resolve problems independently, and propose solutions that scale
</li>
</ul><h2 class="jobSectionHeader">Minimum qualifications</h2>
<ul>
<li>Hands-on Salesforce development experience (Apex, SOQL, LWC, Flow) in a production org
</li>
<li>Experience building or maintaining partner/channel functionality in Salesforce: deal registration, partner portals, attribution models, or co-sell opportunity management
</li>
<li>Experience integrating Salesforce with external platforms via REST/Bulk APIs, middleware (Workato, Mulesoft, or similar), or direct callouts
</li>
<li>Fluency with SFDX, source-controlled metadata, and a sandbox-to-prod release process with peer review
</li>
<li>Active use of AI-assisted development tools (Claude, Copilot, Cursor, or similar) as part of how you write and review code, and the ability to speak to how you steer and verify their output
</li>
<li>Basic SQL skills and comfort working alongside a data warehouse
</li>
<li>Effective communication with sales, partnerships, finance, and engineering stakeholders
</li>
</ul><h2 class="jobSectionHeader">Preferred qualifications</h2>
<ul>
<li>5+ years of hands-on Salesforce development experience
</li>
<li>Salesforce Platform Developer I and II certifications
</li>
<li>Advanced Administrator or Application/System Architect certification
</li>
<li>Deep understanding of Salesforce platform constraints: governor limits, bulkification, sharing and visibility, recursion control
</li>
<li>Cloud-marketplace integration experience (AWS, GCP, Azure)
</li>
<li>Familiarity with partner-specific integration platforms such as Workspan
</li>
<li>Proven experience scaling Salesforce in a high-growth GTM environment
</li>
</ul></div><div><div><div><div>The annual compensation range for this role is listed below.

For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</div></div>
Annual Salary:
$220,000 - $270,000 USD</div></div><div><h2 class="jobSectionHeader">
Logistics</h2>

Minimum education: Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 
 
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
<h2 class="jobSectionHeader">
How we're different</h2>

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
<h2 class="jobSectionHeader">
Come work with us!</h2>

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.</div></div>

Salesforce Developer, Partnerships

Common Sense Media

<div>Data Scientist<div></div><div><div><div><div>
Organization 
Common Sense Media</div><div> 
Department 
Data</div><div> 
Reports To 
Senior Director, Data &amp; Analytics</div><div> 
Location 
San Francisco, CA</div><div><div> 
Classification 
Salary Range</div><div> 
Full-time, Exempt
$140,00&ndash;$166,250</div></div> 
</div></div></div>
POSITION OVERVIEW
Common Sense Media is seeking a Data Scientist to help build data capabilities that allows the organization to answer the questions that matter most to advancing our mission and driving impact for kids and families. This is a hands-on, full-stack individual contributor role responsible for developing pipelines, models, and analyses that turn data from across the Common Sense Media ecosystem into reliable, decision-ready insights.
The Data Scientist will develop predictive and statistical models that support organization-wide decisions, design and analyze experiments, apply causal inference methods, and lead impact analyses that measure how Common Sense Media's work affects kids, families, and educators, translating findings into clear, actionable recommendations for both technical and non-technical audiences. The Data Scientist's work will span the full range of data science at Common Sense Media, from foundational data engineering and data modeling through analytics, machine learning, experimentation, and impact analysis.
As a senior technical voice on the team, the Data Scientist will help uplevel the organization's capabilities in data science, machine learning, and generative AI, advising on methodology, helping to develop and test AI product features, and raising the technical bar within product and engineering.
KEY RESPONSIBILITIES
Analytics &amp; Modeling<ul><li>
Conduct rigorous exploratory and descriptive analyses that establish the foundational understanding of our audiences, programs, and performance.</li><li>
Develop predictive and statistical models that support organization-wide decisions.</li><li>
Apply modern machine learning techniques to ship models and analyses that drive impact.</li></ul>
Experimentation &amp; Causal Inference<ul><li>
Design and execute A/B tests and randomized controlled trials.</li><li>
Leverage rigorous quasi-experimental designs (e.g., difference-in-differences, regression discontinuity) and advanced causal inference techniques to evaluate the impact of complex product and program decisions where randomized testing is not feasible.</li></ul>
Impact Measurement<ul><li>
Lead rigorous impact analyses and program evaluations that measure how Common Sense Media's work affects kids, families, and educators.</li><li>
Apply causal inference and evaluation methods to measure real-world outcomes.</li></ul>
Insights &amp; Communication<ul><li>
Translate findings into clear, actionable recommendations for both technical and non-technical audiences.</li><li><h1 class="jobSectionHeader">
Partner closely with colleagues across Common Sense Media to put data to work across the organization.</h1></li></ul> 
Analytics Engineering<ul><li>
Own the data models that turn raw data into clean, reliable, analysis-ready data sets used across the organization.</li><li>
Work with internal teams and external partners to establish data collection approaches, integrate new data sources, and ensure that incoming data is structured and trustworthy.</li><li><h1 class="jobSectionHeader">
Build and maintain the data pipelines and transformations necessary to support modeling, reporting, and impact measurement.</h1></li></ul> 
Technical Leadership<ul><li>
Serve as a senior technical voice on the team, advising on methodology and raising the technical bar around how to use data in thoughtful decision-making.</li><li>
Help uplevel the organization's capabilities in data science, machine learning, and generative AI, supporting the development and testing of AI tools and features across the organization.</li></ul>
QUALIFICATIONS<ul><li>
8+ years of experience in applied data science, analytics, or a closely related quantitative field, with a track record of shipping models and analyses that have changed decisions.</li><li>
Strong hands-on skills in SQL and Python or R, and expert use of standard machine learning libraries.</li><li>
Experience building and maintaining production data pipelines using modern cloud data warehouses (Snowflake, BigQuery, or Redshift) and modern data stack tooling (dbt, Airflow, Fivetran, or equivalents).</li><li>
Demonstrated experience designing and analyzing experiments, including A/B tests, quasi-experiments, and causal inference methods.</li><li>
Experience leading rigorous impact or program evaluation that measures real-world outcomes.</li><li>
Experience mentoring junior data scientists.</li><li>
Excellent written and verbal communication skills, with the ability to translate technical work into clear narratives for both technical and non-technical audiences.</li><li>
Demonstrated ability to serve as a senior technical voice within an organization, raising the technical bar of teammates and helping non-technical colleagues use data and AI tools effectively in their work.</li><li><h1 class="jobSectionHeader">
Strong understanding of data governance, privacy, and responsible data and AI practices, with particular sensitivity to data involving children and families.</h1></li><li><h1 class="jobSectionHeader">
Familiarity with product analytics, CRM, and marketing platforms (Amplitude, Google Analytics, Salesforce, Braze) and their underlying data structures is a plus.</h1></li><li><h1 class="jobSectionHeader">
Experience building predictive models for subscription, retention, lifetime value, or similar member or customer lifecycle problems is a plus.</h1></li><li><h1 class="jobSectionHeader">
Experience implementing and evaluating generative AI or LLM-based solutions, including prompt engineering, fine-tuning, retrieval-augmented generation, or self-hosted models, with rigorous evaluation against human or ground-truth baselines, is a plus.</h1></li><li><h1 class="jobSectionHeader">
Experience designing AI evaluation frameworks, including human-in-the-loop evaluation, bias and fairness assessment, and ongoing monitoring of model performance, is a plus.</h1></li><li><h1 class="jobSectionHeader">
Prior experience in a mission-driven, nonprofit, education, or media organization is a plus.</h1></li></ul>
WHAT WE OFFER<ul><li>
The opportunity to really make a difference in the lives of kids and families!</li><li>
A mission-driven team with a 23-year track record of impact for families and children.</li><li>
Competitive nonprofit compensation and comprehensive benefits.</li><li>
A collaborative, flexible work environment with meaningful leadership access and visibility.</li></ul>
ABOUT COMMON SENSE MEDIA
Common Sense Media is the leading nonprofit organization dedicated to improving the lives of kids and families by providing the research-backed information, education, and independent voice they need to thrive in the age of apps, algorithms, and AI. We rate, educate, and advocate for policies to protect and prepare kids online. Our ratings, research, and resources reach more than 150 million users globally, over 1.4 million educators, and more than 100,000 schools worldwide every year. Learn more at commonsense.org.</div>

Data Scientist

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