artist marketing manager, youtube marketing

social media manager

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account executive, social & influencer Jobs in New York

account executive, social & influencer

artist marketing manager, youtube marketing Jobs in New York

social media content manager

Corcoran Legends Realty Company 

*About Us*Corcoran Legends Realty Management is a results-driven real estate company helping clients buy, sell, and invest with confidence. We deliver expert guidance, local market knowledge, and exceptional service. *Role Overview*We’re looking for a detail-oriented Virtual Assistant to support our real estate team with daily operations, client communication, and data management. *Key Responsibilities:*- *Admin Support*: Manage emails, calendars, and schedule showings/appointments- *Data Entry*: Update MLS listings, CRM, spreadsheets, and property files- *Client Communication*: Respond to buyer/seller/renter inquiries via phone, email, and text- *Marketing Support*: Assist with social media posts, listing descriptions, and flyers- *Document Prep*: Contracts, lease agreements, and transaction paperwork organization- *Research*: Market comps, lead generation, and vendor coordination *Requirements:*- 1+ years VA or admin experience, real estate experience a plus- Strong skills in Google Workspace, Microsoft Office, CRM tools- Excellent written + verbal communication skills- Highly organized, reliable internet, and able to work independently- Knowledge of MLS, Zillow, or property management software is a bonus *Benefits:* Flexible remote schedule, growth opportunities, commission bonuses on referrals. Apply now and help us grow Corcoran Legends Realty Management!

Remote Virtual Assistant

Silearth

Job Overview Silearth is a unique organisation dedicated to capturing and sharing the stunning beauty of natural landscapes, with a special focus on iconic locations like Joshua Tree, California. We are seeking a dedicated and enthusiastic Customer Service Representative to join our team in New York, NY, United States. This is a Full-time position and a fantastic opportunity for an individual who is passionate about providing exceptional customer support. As the first point of contact for our customers, you will play a crucial role in representing our brand, answering enquiries, and ensuring a positive customer experience from start to finish. The successful candidate will be a clear communicator, a natural problem-solver, and an integral part of our growing team. Salary: $18.52 - $45.00 per hour Responsibilities * Professionally handle all inbound customer enquiries via email, phone, and social media channels in a timely and efficient manner. * Provide accurate and detailed information regarding our products, such as photographic prints, and services. * Resolve customer issues and complaints with empathy and professionalism, aiming for first-contact resolution. * Process customer orders, returns, and exchanges accurately. * Maintain and update customer records in our internal database, ensuring a high level of data integrity. * Gather and document customer feedback to help our team improve our products and services. * Collaborate with other team members to ensure a seamless and consistently excellent customer journey. Qualifications * Proven experience in a customer service, customer support, or a similar client-facing role. * Exceptional written and verbal communication skills with a professional and friendly telephone manner. * Strong interpersonal skills and a genuine passion for helping others. * Excellent problem-solving abilities and the capacity to remain calm under pressure. * Proficiency in using common customer service software and CRM systems. * Strong organisational and time-management skills with the ability to prioritise tasks effectively. * A high level of attention to detail and accuracy in all work. * A personal interest in photography, travel, or nature is highly desirable. Benefits * A competitive hourly wage and benefits package. * Opportunities for professional development and career growth. * A supportive, creative, and friendly team environment. * Generous paid time off and holiday entitlement. * Employee discounts on Silearth products.

Customer service representatives

Progyny

<div>Thank you for considering Progyny!
We are hiring a Manager, Medical Economics &amp; Analytics to join our team in New York City. This role will primarily support the Operations team.
Our team develops data, analytical insights, and tools that support Progyny&rsquo;s internal operations and help drive an exceptional member and provider experience. In this role, you&rsquo;ll partner closely with cross-functional teams, including Provider Network, Claims, Contact Center, and Member Experience, to deliver analyses and solutions that improve operational performance and inform strategic decision-making. You&rsquo;ll also work closely with Data Engineering and IT partners to advance our analytics infrastructure, expand AI-enabled capabilities, and build scalable solutions that enable teams across the organization to make better data-driven decisions.
What You'll Do...<ul><li>
Become a subject matter expert (SME) in Progyny claims, utilization, provider network, operational, and financial data, translating complex datasets into actionable insights that improve business performance.</li><li>
Lead, develop, and mentor a team of analysts responsible for delivering high-quality analyses, reporting, and analytical solutions to key operational stakeholders.</li><li>
Build, maintain, and optimize scalable analyses, data models, dashboards, and reporting using SQL, Excel, and modern analytics and visualization tools.</li><li>
Partner closely with cross-functional operational teams, including Provider Network, Claims, Contact Center, and Member Experience, to identify opportunities, evaluate performance, develop KPIs, and deliver insights that inform operational and strategic decision-making.</li><li>
Partner with Data Engineering and other IT teams to help shape and advance Progyny&rsquo;s analytics infrastructure and data strategy, including data models, pipelines, tooling, governance, and self-service analytics capabilities.</li><li>
Identify opportunities to improve analytical workflows, automate manual processes, and drive cross-functional initiatives that increase operational efficiency and enable scalable, data-driven decision-making.</li></ul>
About You...<ul><li>
Bachelor's degree with an analytical focus in healthcare, economics, finance, statistics, data analytics, or a related field.</li><li>
5&ndash;7 years of relevant experience in healthcare, insurance, consulting, analytics, or a related field, including 1&ndash;3 years of people management experience.</li><li>
Advanced SQL skills with demonstrated experience querying, transforming, and analyzing large and complex datasets (30M+ rows).</li><li>
Experience working with modern data platforms and transformation tools such as AWS, dbt, Databricks, or similar technologies.</li><li>
Proficiency with data visualization and business intelligence tools such as Tableau, Power BI, Looker, or similar platforms, with demonstrated experience developing effective dashboards and data products for business stakeholders.</li><li>
Advanced analytical and problem-solving skills with the ability to translate ambiguous business questions and complex datasets into structured analyses, clear insights, and actionable recommendations.</li><li>
Familiarity with healthcare and insurance terminology, provider networks, healthcare operations, and medical or pharmacy claims data.</li><li>
Demonstrated experience leading, coaching, and developing analysts while establishing priorities, maintaining high standards for analytical quality, and creating an environment of continuous learning.</li><li>
Experience working in modern analytics environments and IDEs (e.g., Visual Studio Code, Cursor, PyCharm, or similar) and using AI-enabled tools to accelerate analysis, development, or workflows.</li><li>
Ability to partner effectively with Data Engineering and technical teams to define data requirements, improve analytical infrastructure, and develop scalable data and reporting solutions.</li><li>
Excellent time and project management skills with the ability to prioritize competing requests, manage multiple initiatives simultaneously, and deliver high-quality work under tight deadlines.</li><li>
Self-motivated and comfortable operating independently, navigating ambiguity, and taking ownership of analytical initiatives from problem definition through implementation.</li><li>
Advanced written and verbal communication skills, with the ability to explain complex analytical concepts to non-technical stakeholders, influence cross-functional partners, and communicate effectively with senior leadership.</li></ul>
Please note: This is not a digital nomad or remote international position; candidates must be based in the United States. Progyny is unable to provide visa sponsorship for this position. Candidates must be authorized to work in United States without the need for sponsorship, now or in the future.
About Progyny:
Progyny (Nasdaq: PGNY) is a global leader in women&rsquo;s health and family building solutions, trusted by the nation&rsquo;s leading employers, health plans and benefit purchasers. We envision a world where everyone can realize dreams of family and ideal health. Our outcomes prove that comprehensive, inclusive and intentionally designed solutions simultaneously benefit employers, patients and physicians.
Our benefits solution empowers patients with concierge support, coaching, education, and digital tools; provides access to a premier network of fertility and women's health specialists who use the latest science and technologies; drives optimal clinical outcomes; and reduces healthcare costs.
Our mission is to empower healthier, supported journeys through transformative fertility, family building and women&rsquo;s health benefits.
Headquartered in New York City, Progyny has been recognized for its leadership and growth as a TIME100 Most Influential Company, CNBC Disruptor 50, Modern Healthcare's Best Places to Work in Healthcare, Forbes' Best Employers, Financial Times Fastest Growing Companies, Inc. 5000, Inc. Power Partners, and Crain's Fast 50 for NYC. For more information, visit www.progyny.com.
Our perks:
<ul><li>Family friendly benefits: Paid family and parental leave, preconception, fertility and family building benefits (including egg freezing, IVF, and adoption support), family and pet care fund, and Parents&rsquo; Employee Affiliation Group</li><li>
Menopause and midlife care</li><li>
Health, dental, vision and life insurance options for employees and family</li><li>
Free in-person, virtual and text-based mental health and wellness support
</li><li>Paid time off, including vacation, sick leave, personal days and summer flex time</li><li>
Company equity</li><li>
Bonus program</li><li>
401(k) plan with company match</li></ul><ul><li>
Access to on-demand legal and financial advice</li><li>
Learning and development programs to help you grow professionally and a mentorship program</li><li>
Company social events to include annual volunteer day and donation matching</li><li>
Flex days (3 days a week in the office) and onsite meals and snacks for employees reporting into our NY office</li></ul>
In compliance with New York City's Wage Transparency Law, the annual salary [wage] range for NYC-based applicants is: $130,000 - $145,000. There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. Progyny offers a total compensation package comprised of base salary, cash bonus, and equity.
Progyny is proud to be an Equal Opportunity and Affirmative Action employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, marital status, pregnancy or related condition, status as a protected veteran, criminal history consistent with legal requirements or any other basis protected by law.
If you are an individual with a disability and need assistance or an accommodation during the recruiting process, please send an e-mail to apply@progyny.com.
#LI-BG1</div>

Manager, Medical Economics & Analytics

Tessera Labs

<div>
 
 About Tessera Labs
 
 
 
 Tessera Labs is a new category of enterprise software: an AI platform that changes how the world's largest companies run.
 
 
 Every large enterprise carries the same weight &mdash; decades of accumulated process, data, and code that no longer match the business it has become. Changing any of it is a program measured in years and hundreds of millions of dollars, staffed by armies of consultants, and it fails more often than anyone admits. Most companies have quietly accepted this as the cost of being large.
 
 
 We don't. Tessera is a transformation engine: a governed, multi-agent platform that understands an enterprise's process, data, and code as one connected system and changes it in weeks rather than years. We're vendor-agnostic by design &mdash; SAP, Salesforce, Workday, Oracle, Snowflake, MuleSoft &mdash; and tied to none of them.
 
 
 Two things make this hard, and they're the reason the job is interesting. Governance: every action is logged, traceable, and reversible, because our customers are regulated and these are the systems that close their books. And generality: the platform has to work on landscapes it has never seen, at companies whose complexity is genuinely unique to them.
 
 
 
 We sell a product, not a service.
 
 Our people are here to make the product successful, not the other way around. If you've watched enterprise AI companies quietly become consultancies, that distinction is the one to press us on.
 
 
 We raised a $60M Series A led by Andreessen Horowitz, with Foundation Capital, Myriad Venture Partners, and Osage University Partners participating.
 
 
 
 About The Role
 
 
 
 Turning platform capability into outcomes a Fortune 500 will bet on has two halves &mdash; the systems that surround the model, and the model itself. This role owns the first.
 
 
 You will own agents end to end: the harness they run in, the tools they call, the context they see, the guardrails around them, and the evals that tell us whether any of it is improving. Most of the difficulty is not model access. It's an agent reasoning across a landscape with nineteen years of undocumented decisions embedded in it, where one call silently returns a stale schema forty steps into a plan &mdash; and the work of making that failure legible, reproducible, and then impossible.
 
 
 This is not a prototyping role. Everything you build gets pointed at systems a company's quarter close depends on.
 
 
 
 If the model itself interests you more than the systems around it, look at Research Engineer &mdash; same team, other half of the problem.
 
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and ship the production agents that do transformation work: understanding a landscape, planning a change, executing it across process, data, and code, and proving it was correct.
 </li>
 <li>
 Build the tool layer &mdash; typed, permissioned, well-documented interfaces that let agents read and act across enterprise systems without ever exceeding what a human approver authorized.
 </li>
 <li>
 Improve agent performance through prompting, context construction, tool-use strategy, and decision logic &mdash; and know which of those a given failure calls for.
 </li>
 <li>
 Build the retrieval layer over enterprise artifacts and metadata: chunking and indexing strategies for content that doesn't resemble prose, hybrid search, reranking, grounding, and the evaluation that tells you whether any of it helped.
 </li>
 <li>
 Manage context deliberately. Enterprise artifacts are enormous and a forty-step run accumulates history fast; deciding what the model sees, what gets compressed, and what gets dropped is a first-class engineering problem here, not a prompt detail.
 </li>
 <li>
 Use classical ML where it's the right tool. Plenty of the work inside an agent pipeline &mdash; routing, ranking, classification, anomaly detection, confidence estimation &mdash; is better served by a small supervised model than by another LLM call, and knowing the difference is part of the job.
 </li>
 <li>
 Build the eval and monitoring layer: task sets drawn from real customer landscapes, regression coverage on every deploy, and alerting that catches a changed schema, a revoked authorization, or a new model version before the customer does.
 </li>
 <li>
 Instrument every run so each model call, tool invocation, decision, and human approval can be reconstructed afterward. This is what "passes audit" means in practice, and it's a product requirement rather than a nice-to-have.
 </li>
 <li>
 Diagnose production failures from execution traces down to root cause, then close the gap in the system rather than in a single prompt.
 </li>
 <li>
 Design the guardrails, approval gates, and rollback paths that make an agent safe to point at a live enterprise landscape.
 </li>
 <li>
 Build capability that generalizes. Anything that only works for one customer is a bug in the product, not a feature of the engagement.
 
 
 </li>
 </ul>
 
 Representative projects
 
 
 
 <ul>
 <li>
 Shipping the agent that lets a customer retire a third of their custom estate in a quarter &mdash; and the review surface that makes a human comfortable approving each call in minutes rather than days.
 </li>
 <li>
 Designing the approval and write semantics for agents operating in a live landscape, so nothing reaches production without a traceable human decision and no partial failure leaves systems inconsistent.
 </li>
 <li>
 Building the reconciliation agent that makes two merged companies' data agree, plus the eval set that tells us when it's confident and when it's guessing.
 </li>
 <li>
 Standing up the replay-evaluation pipeline that scores a candidate agent version against a month of recorded runs &mdash; real system responses, mocked writes &mdash; so a regression is caught before anything is touched in a customer environment.
 </li>
 <li>
 Taking a pattern that worked at one customer and turning it into a platform primitive that works at the next four without a human rewriting it.
 
 
 </li>
 </ul>
 
 You may be a good fit if you
 
 
 
 <ul>
 <li>
 Have 3+ years building and operating production software, with meaningful recent time on LLM-powered systems.
 </li>
 <li>
 Have shipped agentic systems that real users depend on, and have owned the incident when they broke.
 </li>
 <li>
 Are fluent in the current agent toolkit &mdash; tool calling, orchestration, context engineering, RAG, evals, tracing &mdash; and can say where each one stops working.
 </li>
 <li>
 Have built retrieval systems against messy real-world corpora, and have measured them rather than assumed them.
 </li>
 <li>
 Have real traditional ML in your background &mdash; supervised learning, feature engineering, model evaluation &mdash; and reach for it when it beats a prompt.
 </li>
 <li>
 Treat evaluation as engineering rather than a report you generate at the end.
 </li>
 <li>
 Think in systems and customer outcomes, not model metrics.
 </li>
 <li>
 Are comfortable with non-determinism and have opinions about building reliably on top of it.
 </li>
 <li>
 Write strong Python and are comfortable in TypeScript.
 </li>
 <li>
 Ship fast, and verify before you claim it works.
 </li>
 <li>
 Find large, ugly, undocumented enterprise systems interesting rather than beneath you. That instinct is most of the job, and it's rarer than it should be.
 
 
 </li>
 </ul>
 
 Strong candidates may also have
 
 
 
 <ul>
 <li>
 Hands-on experience with enterprise platforms, their APIs, and their extension models &mdash; SAP, Salesforce, Workday, Oracle, Snowflake, MuleSoft, ServiceNow.
 </li>
 <li>
 Experience with knowledge graphs, ontologies, or semantic models over messy real-world systems.
 </li>
 <li>
 Experience with code analysis, program transformation, or automated refactoring at scale.
 </li>
 <li>
 Experience with MCP, sub-agents, or agent skill/plugin architectures.
 </li>
 <li>
 A background in distributed systems or workflow engines, where partial failure is the default case.
 </li>
 <li>
 Experience at an early-stage startup or as a founder, where scope was whatever needed doing that week.
 </li>
 <li>
 Familiarity with enterprise security and compliance realities: SSO, RBAC, segregation of duties, PII handling, SOC 2, data residency.
 
 
 </li>
 </ul>
 
 Join the Future of AI at Tessera Labs
 
 
 
 We're looking for someone who enjoys building reliable, scalable systems that help teams move faster. If you take pride in cutting-edge AI, value clear ownership, and want to have a meaningful impact in a fast-moving environment, you&rsquo;ll fit right in.
 
 
 No third party may recruit, solicit candidates, publish job opportunities, use Tessera Labs&rsquo; name or branding, or represent that they are acting on behalf of Tessera Labs without prior written authorization. Any such activity conducted without explicit written consent is strictly prohibited.
 
 
 Compensation Range: $200K - $250K
 
 
</div>

AI Engineer

Product Marketing Lead, Instagram Reels Monetization and Ads Experiences

Wix.com, Inc.

<div>Job Description 
We're building the go-to-market team for Base44, an AI-powered software development platform recently acquired by Wix. As an Account Manager, you'll be instrumental in managing business customers (from SMB to enterprise), nurturing long-term partnerships, ensuring they realize maximum value from our platform, championing their success, and identifying opportunities for growth.
This role is ideal for a customer-centric professional who thrives in a fast-paced, entrepreneurial environment and is excited to foster relationships that drive both customer satisfaction and business expansion. You'll have a foundational role in scaling our business, advocating for our customers, and shaping a best-in-class customer experience.
We&rsquo;re building the go-to-market team for Base44, an AI-powered software development platform
Responsibilities:<ul><li>
Own and nurture relationships with our business customers, serving as their primary point of contact and trusted advisor</li><li>
Ensure successful onboarding, adoption, and ongoing engagement with the Base44 platform</li><li>
Identify and drive opportunities for account growth, including renewals, upsells, and cross-sells</li><li>
Proactively monitor customer health, usage trends, and satisfaction to mitigate churn and ensure long-term retention</li><li>
Translate customer feedback and needs into actionable insights for the product, engineering, and leadership teams</li><li>
Collaborate with sales, product, marketing, and support to deliver a seamless and positive client experience</li><li>
Develop and deliver regular business reviews, demonstrating ROI and helping customers achieve their objectives</li><li>
Use AI tools proactively to enhance your own productivity and the team's from drafting - communications and synthesizing customer insights to building lightweight internal tools that reduce manual work</li><li>
Maintain and continuously improve how we work - building automations, templates, and AI-powered workflows that scale how the team manages accounts and tracks customer health</li><li>
Help define our operating motion from day one - establishing scalable playbooks, tooling, and AI-assisted processes that grow with the team</li></ul> 
Qualifications<ul><li> 
4+ years of account management or customer success experience in a B2B technology company, preferably a startup</li><li>
Experience managing mid-market and enterprise customers in SaaS, AI, developer tools, ML, or related technology sectors</li><li>
Proven track record of driving account growth, renewals, and customer satisfaction</li><li>
Exceptional communication, presentation, and relationship-building skills</li><li>
Strong problem-solving abilities and a passion for helping clients achieve their goals</li><li>
Organized, proactive, and comfortable operating in a high-growth, fast-changing environment</li><li>
A builder's mindset: you're comfortable experimenting with AI tools, automating repetitive tasks, and figuring things out &mdash; you don't wait for a system to exist before creating one</li><li>
Bonus: Experience with AI platforms, developer-focused solutions, or technical customer onboarding</li></ul> 
Additional Information 
We're Base44, a newly acquired part of Wix, on a mission to change how software gets built. Our AI-powered platform allows anyone to create custom software applications using natural language - no traditional coding required. We operate like a startup within Wix: fast-moving, collaborative, and focused on solving complex problems with simple, elegant solutions. 
*** 
Expected base compensation salary range $125,000 - $150,000. In addition to base pay you will receive company RSUs as part of the compensation package.Final package may vary and will be determined by various factors including location the role is expected to be performed, shift, candidate profile and ideal qualifications. 
*** 
For U.S. employees, this role is currently eligible for a benefit package that includes competitive medical, dental and vision insurance, a retirement savings plan, wellness benefits, travel expenses and subsidized lunch no matter where you live.
Other benefits vary from country to country. You&rsquo;ll get a detailed offer at the final stages of the hiring process, though salary expectations may be discussed earlier in the process.</div>

Account Manager - Base44

Snowflake

<div>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are a visionary and innovative industry expert team with a track record of architecting, building, and taking solutions to market applicable to various sub-verticals across financial services, spanning retail and commercial banking, lending and payments.
There is only one Data Cloud. Snowflake's founders started from scratch and designed a data platform built for the cloud that is effective, affordable, and accessible to all data users. But it didn't stop there. They engineered Snowflake to power the Data Cloud, where thousands of organizations unlock the value of their data with near-unlimited scale, concurrency, and performance. This is our vision: a world with endless insights to tackle the challenges and opportunities of today and reveal the possibilities of tomorrow.
Are you passionate about taking new ideas and innovation to market? Have you successfully applied technology to solve business problems in core banking? If so, we have a strategic opportunity to use your expertise across Data, Cloud, and AI to drive transformational changes across the financial services industry in a highly visible role collaborating with internal and external leadership.
Snowflake is seeking a seasoned Financial Services Industry Architect with deep, hands-on experience designing and delivering transformation initiatives powered by data, analytics, and AI. The ideal candidate has worked directly with banks, financial services organizations to modernize core systems, unify transactional and risk data, and translate business priorities into scalable technical architectures and measurable business outcomes.
You will act as a visionary and innovative industry expert with the opportunity to apply your successful track record of architecting, building, and taking solutions to market applicable to various sub-verticals across the financial services ecosystem and critical workloads in our customer footprint.
IN THIS ROLE YOU WILL GET TO:<ul><li>
Partner with customers on strategic opportunities: You will drive customer engagement in strategic deals where your industry expertise can help drive Snowflake adoption. You'll build trusted relationships with executives, chief data officers, chief risk officers, and enterprise data architects at banks and finance organizations, acting as a trusted advisor who blends business and technical context to advance opportunities.</li><li>
Innovate and design solutions: Working with the Industry GTM team, you'll translate core banking use cases, challenges, and opportunities into data-driven and AI-powered solutions and architecture. This includes creating end-to-end architectures and future-state blueprints, and demo showcases that embed AI/ML and agentic flows into solutions such as fraud detection, credit risk modeling, regulatory reporting, and customer 360.</li><li>
Drive repeatability and scale: You'll lead strategic initiatives by building repeatable enterprise architectures and solution assets for the banking industry that can be leveraged for global adoption. Your deliverables will include persona use case journeys and system/application architecture, demo showcases that integrate Snowflake into a customer's broader financial services solutions portfolio and ecosystem. You'll also scale your expertise through field enablement and by creating workshops and playbooks.</li><li>
Influence the product roadmap: Act as a conduit to the product teams, providing structured feedback based on banking industry needs and customer requirements to help shape Snowflake's product roadmap.</li><li>
Be a thought leader: Drive technical thought leadership for the financial services industry through blogs, talks, and field enablement. You will also be a key contributor to industry marketing activities including webinars and conferences such as Money20/20, Sibos, InsureTech Connect, and LIMRA.</li></ul>
ON DAY ONE WE WILL EXPECT YOU TO HAVE:<ul><li>
10+ years of architecture experience building, consulting to, and/or implementing technology for core banking and/or financial services organizations</li><li>
Expert in financial services data topics and well-versed in the overall challenges and opportunities impacting the industry; ability to map data requirements and processes for the major functional areas of core banking (Retail &amp; Commercial Lending, Payments, Treasury, Risk &amp; Compliance, Finance)</li><li>
Ability to consultatively engage with customers to understand pain points, challenges, and come up with right-fit solution architecture using the latest data and AI technologies</li><li>
Broad range of experience with technical and design direction including large-scale database and/or data warehouse technology, ETL, analytics, and public cloud technologies</li><li>
Understanding of Data Science &amp; Machine Learning concepts and applications in financial services &mdash; including credit scoring, fraud detection, and AML/transaction monitoring</li><li>
Familiarity with key sources of enterprise financial services data and technologies including core banking platforms (e.g., Temenos, FIS, Fiserv, Finacle), risk and compliance systems, actuarial tools (e.g., ResQ, Remetrica), payment networks, CRMs, and third-party data providers</li><li>
Understanding of financial services regulatory and compliance frameworks (Basel III/IV, DORA, IFRS 9/17, Solvency II, BCBS 239, AML/KYC, NAIC, state DOI reporting) and the data demands they create</li><li>
Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos</li><li>
Exceptional communication skills, with the ability to explain complex technical concepts clearly to architects, engineering leaders, risk officers, operations leaders, business executives, and regulatory stakeholders</li><li>
Experience working with senior executives and an ability to quickly establish credibility with senior leadership</li><li>
Bachelor's Degree required; Master's Degree in computer science, engineering, mathematics, finance, actuarial science, or related fields, or equivalent experience preferred</li><li>
The ability to travel to customer sites, industry events, and other related events as required</li><li>
Strong knowledge of SQL, Python with hands-on experience is required; experience in Java, Scala, or other languages is a plus</li><li>
3+ years of Cloud Provider (AWS, Azure, or GCP) customer-facing architecture development experience</li></ul>
WHAT ARE THE TYPICAL GOALS FOR THE ROLE?
Proactive customer guidance:<ul><li>
Technical Industry Overview and Architecture:How is the banking industry adopting Snowflake, and which industry value drivers does Snowflake attach to?</li><li>
Technical Use Case Overviews:Extend use case presentations with how financial services use cases might be addressed &mdash; including technical architectures and key decision points for risk, compliance, banking, and lending workloads.</li><li>
Ecosystem partner engagement:Does the customer need interface or vendor guidance with financial services ecosystem partners (e.g., FIS, Fiserv, Temenos, Verisk, LexisNexis Risk Solutions, MSCI)? Is there an ecosystem participant without a Data Cloud presence we should introduce to the wider Snowflake team? We can facilitate these conversations and advocate for the customer and the vendor.</li><li>
Solution architecture and review:Snowflake has a diverse ecosystem of financial services industry participants with domain-specific solutions to a wide range of use cases; domain-specific architecture reviews play a key role.</li><li>
Strategic stakeholder alignment:C-level and direct reports may require strategic, longer-running relationships that maintain consistency and alignment across business units and use cases &mdash; particularly in large global banks. The Industry Architect role can help maintain global consistency of vision and assist individual geographies.</li><li>
Strong alignment with the Financial Services Industry Team</li><li>
Technical industry trend PoV:Data Mesh, Data Vault, GenAI, Data Lakes vs. Warehouses vs. Lakehouses &mdash; view these technical trends through a financial services lens, including case studies on real-time fraud detection, open banking data sharing, and regulatory data lineage.</li><li>
Snowdays: Bring in the wider team to complement the customer's point of view with a broader industry perspective, including bespoke solution/lab setups for banking</li><li>
RFP support: Some RFPs have a financial services industry backdrop and may request information on the Financial Services Data Cloud, or otherwise require a perspective on specific regulatory, risk, or operational topics.</li></ul> 
Internal Engagement
We are always looking for ways to scale our offering. We welcome opportunities to gather a group of SEs to drive and foster better industry alignment and knowledge sharing. Creating scalable content and driving adoption of key use cases is the primary goal for the role, so finding ways to spread the message both internally and externally is critical.
Partner Engagement
Our team is always looking for new and innovative ways to solve key use cases. This includes engaging with key financial services ecosystem partners to develop industry best practices, architectures, and demos.
Industry Events
Our team of specialists is most likely already involved with key industry events such as Money20/20, Sibos, InsureTech Connect, and LIMRA. If there is something that makes sense to bring us into, please let us know how we can help.
Every Snowflake employee is expected to follow the company's confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company's data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:<ul><li>
This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $249,600 - $327,600. The estimated base salary for this role is $187,200 - $245,700.</li><li>
Additionally, this role is eligible to participate in Snowflake&rsquo;s equity plan.</li></ul>
The successful candidate&rsquo;s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending &amp; health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.</div>

Project Manager

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