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ai enablement specialist

Jefferies

<div>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 <strong>
  JOB DESCRIPTION
  <br/>
  <br/>
 </strong>
 We are looking for a strong communicator who is passionate about change management and driving business outcomes with technology to help advance our AI initiative. The Equity Research AI Specialist will support the adoption of AI tools and practices across the Equity Research department. This role focuses on providing department members with direct, targeted, and tailored AI training, centralizing best practices, and helping shape the department&rsquo;s AI strategy through feedback and collaboration. The specialist will also assist Research Management in evaluating new AI tools and monitoring the vendor landscape, designing pilot programs, and aligning with firmwide AI initiatives.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design AI training materials and create digestible guides for research workflows.
  </li>
  <li>
   Work directly with lead analysts and their teams to help drive adoption through targeted education and problem solving.
  </li>
  <li>
   Collect department feedback to identify useful AI applications and unmet needs.
  </li>
  <li>
   Use no-code and low-code tools to implement bespoke AI workflows and frameworks.
  </li>
  <li>
   Assist in evaluating new AI tools, monitoring the vendor landscape, and driving pilots.
  </li>
  <li>
   Track usage metrics and translate observations into training and strategy updates.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Must-Have:
 <br/>
 <br/>
 <ul>
  <li>
   Strong understanding of GenAI applications and their composition; working knowledge of AI models and how they differ. For example, the following concepts should all resonate: Context Window, RAG, Chain of Thought, Structured vs Unstructured Data, MCP.
  </li>
  <li>
   Strong interest in AI enablement, change management, and strategy.
  </li>
  <li>
   Good communication (both written and verbal) and collaboration skills; ability to translate between and adapt to technical and non-technical stakeholders.
  </li>
  <li>
   Demonstrated prompt and context engineering skills.
  </li>
  <li>
   Interest in investment research and capital markets.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1-2 years of experience in capital markets-focused role, preferably equity research.
  </li>
  <li>
   Experience using M365 Copilot, Claude Enterprise, OpenAI Enterprise, or similar enterprise AI tools; finance-focused AI tools such as AlphaSense, Rogo, Hebbia.
  </li>
  <li>
   Track record of evaluating AI tools and platforms.
  </li>
  <li>
   Familiarity with equity research workflows and data sources.
   <br/>
   <br/>
  </li>
 </ul>
 Primary Location Full Time Salary Range of $100,00 - $120,000.
 <br/>
 <br/>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments.
 <br/>
 <br/>
 At Jefferies, we are committed to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.
 <br/>
 <br/>
 Jefferies is committed to creating and sustaining a workforce that welcomes individuals from all backgrounds to apply. Our employment decisions are made without regard to race, creed, color, national origin, ancestry, religion, pregnancy, age, medical condition, physical or mental disability, marital status, domestic partner status, sex, sexual orientation, gender, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodation to individuals with disabilities, as required by applicable law.
 <br/>
 <br/>
 The salary offered will take into consideration an individual&rsquo;s experience level and qualifications. In addition to salary, Jefferies Financial Group is proud to offer a comprehensive benefits package to eligible, full-time employees or part-time employees, who are scheduled to work at least 30 hours or more per week, including an annual discretionary incentive and retention bonus, competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Jefferies also offers paid time off packages that include planned time off (e.g., vacation), unplanned time off (e.g., sick leave), and paid holidays, and for full-time employees, paid parental leave.
</div>


AI Enablement Specialist

Datasite

<div><div>Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing</div><div>
and more. Here you&rsquo;ll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth.</div><div></div><div><br>
Apply for one position or as many as you like. Talent doesn&rsquo;t always just go in one direction or fit in a single box. We&rsquo;re happy to see whatever your superpower is and find the best place for it to flourish.</div><div></div><div><br>
Get started now, we look forward to meeting you..</div><div></div><div>
Job Description:</div><div></div><div>
Position Summary</div><div>
The Sales Enablement Specialist will play a key role in driving sales productivity and performance in the Americas. This role is responsible for onboarding new sellers and delivering ongoing training, tools, and process reinforcement across a rapidly growing global SaaS organization. The Specialist will collaborate closely with Sales Leadership, Product, Service, and other cross-functional partners to ensure sellers are fully equipped to meet and exceed their targets.</div><div></div><div>
Essential Duties and Responsibilities</div><ul><li><div>
Lead new seller onboarding to accelerate ramp time and ensure proficiency in product knowledge, messaging, value proposition, competitive positioning, and the full sales process.</div></li><li><div>
Deliver blended training programs (live, virtual, and eLearning) and develop curricula aligned with new product releases and go-to-market strategies.</div></li><li><div>
Coach sellers individually and in groups to build skills, reinforce best practices, and support ongoing performance improvement.</div></li><li><div>
Partner with sales leadership and cross-functional teams to identify training needs, develop assessments, and align enablement programs to business priorities.</div></li><li><div>
Evaluate and recommend emerging tools and methodologies that elevate sales effectiveness and productivity.</div></li><li><div>
Identify and drive process improvements to increase seller efficiency and time in the field.</div></li><li><div>
Support regional and global enablement initiatives while serving as a trusted subject matter expert on Datasite&rsquo;s products and services.</div></li></ul><div></div><div>
Minimum Education, Experience &amp; Competencies</div><ul><li><div>
Bachelor&rsquo;s Degree in Business or related field</div></li><li><div>
2+ years of experience in a quota-carrying, Sales Enablement, or other commercial training role</div></li><li><div>
Understanding of the full sales lifecycle</div></li><li><div>
Ability to work cross-functionally with varied stakeholders</div></li><li><div>
Exceptional written and verbal communications skills</div></li><li><div>
Strong initiative, curiosity, and work ethic, with a proactive, self-directed approach to problem-solving</div></li><li><div>
Ability to travel up to 20%</div></li></ul><div></div><div>
The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate&rsquo;s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.</div><div></div>
$82,900.00 - $142,000.00<div></div><div>
Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.</div></div>

Sales Enablement Specialist

Pencil

<div>
 <p>
  <strong>
   This role requires one day per week on site in New York City.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  At The Brandtech Group, our mission is to help the world&rsquo;s leading brands grow by connecting content, data and media through technology. We believe transformation only succeeds when people have the skills, confidence and curiosity to make AI part of how they work.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Pencil, our enterprise open technology platform, enables global organisations to embed AI across their creative and operational processes - transforming how marketing gets done. But true adoption depends on understanding, not just access.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re looking for an AI Training Lead to build the knowledge infrastructure that powers this transformation. You&rsquo;ll design and deliver learning programmes that help teams at every level understand, use and benefit from AI within their daily workflows. Working closely with Change, Implementation and Product teams, you&rsquo;ll ensure that capability grows hand-in-hand with technology.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a hands-on, high-impact role for a learning practitioner who understands that building capability is central to lasting change.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design and deliver learning programmes that build practical AI capability across creative, marketing and operational teams.
  </li>
  <li>
   Partner closely with Pencil Product teams as a super user - translating platform updates, new features and best practices into accessible training.
  </li>
  <li>
   Identify capability gaps by engaging directly with executional, creative and delivery teams, ensuring training evolves with real needs.
  </li>
  <li>
   Collaborate with the Evangelism Lead to build advocacy and maintain excitement for AI adoption through hands-on learning experiences
  </li>
  <li>
   Provide ongoing enablement through live sessions, drop-ins and &ldquo;AI surgeries&rdquo; that help teams solve real-world challenges.
  </li>
  <li>
   Continuously measure training effectiveness, adoption and learner confidence, refining content and formats for maximum impact.
  </li>
  <li>
   Create and curate demos, showcases and case studies that illustrate real-world success and impact.
  </li>
  <li>
   Partner with Comms, Marketing and Brandtech PR to ensure alignment and amplification across channels.
  </li>
  <li>
   Lead AI roadshows, thought-leadership sessions and live experiences that engage and inspire.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your background:
  </strong>
 </p>
 <ul>
  <li>
   Proven experience designing and delivering training programmes for digital transformation or technology enablement.
  </li>
  <li>
   Proven experience working in a creative agency environment - background in design or animation
  </li>
  <li>
   Background in Capability Building, Tech enablement or Creative design.
  </li>
  <li>
   Experience collaborating with Product, Change and HR teams to align capability building with transformation strategy.
  </li>
  <li>
   Skilled communicator with the ability to translate technical AI concepts into accessible, engaging learning.
  </li>
  <li>
   Passionate about helping people develop confidence and curiosity with new technology.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You&rsquo;ll Thrive Here If You&hellip;
  </strong>
 </p>
 <ul>
  <li>
   Believe capability is the foundation of transformation
  </li>
  <li>
   Enjoy helping others gain confidence through learning and experimentation
  </li>
  <li>
   Value clarity, simplicity and creativity in how you teach complex ideas
  </li>
  <li>
   Collaborate naturally with change and product teams to align learning to outcomes
  </li>
  <li>
   Get energy from scaling knowledge across diverse markets and teams
  </li>
  <li>
   Care as much about behaviour change as knowledge retention
  </li>
  <li>
   See learning as a continual process, not a one-time event
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits
  </strong>
 </p>
 <ul>
  <li>
   Salary is typically in the range of $100-150k and is determined by experience and impact. We may be flexible for the right candidate.
  </li>
  <li>
   25 days PTO plus public holidays, although we operate a Flexible Time Off scheme
  </li>
  <li>
   Health insurance / private medical cover
  </li>
  <li>
   Monthly stipend towards wellness, fitness, and learning and development
  </li>
  <li>
   Remote - work from anywhere in your home country
  </li>
  <li>
   Enhanced parental leave policies, whether you become a parent through birth, adoption or surrogacy
  </li>
  <li>
   Flexible working hours
  </li>
 </ul>
</div>


AI Training Lead

OpenAI

About the Team
<br><br>
OpenAI’s GTM Partnerships team builds a strategic, global partner ecosystem designed to accelerate customer success, secure AI adoption, and drive growth in support of OpenAI’s mission toward AGI. We collaborate closely across internal teams to ensure unified strategy and seamless execution.
<br><br>
About the Role
<br><br>
We are hiring a Global Head of Capgemini Alliance to lead and scale OpenAI’s flagship enterprise partnership.
<br><br>
OpenAI and Capgemini have established a global alliance designed to deliver multi-year AI enterprise transformations powered by OpenAI’s enterprise products. This role serves as the single accountable executive owner of the alliance. It anchors strategic direction, governs execution, and converts alignment into scaled commercial and operational outcomes across the global enterprise market.
<br><br>
The position carries full responsibility for alliance performance, operating model integrity, and sustained expansion.
<br><br>
<b>In this role you will:</b><br>
Own the global Capgemini alliance P&L, including revenue growth, deployment velocity, and long-term expansion.
<br><br>
Run OpenAI’s side of the
<br><br>
AI Transformation Alliance,
<br><br>
the operating system for hundreds of joint clients / enterprise AI transformation opportunities
<br><br>
Serve as OpenAI’s senior executive counterpart to Capgemini’s global leadership.
<br><br>
Set joint priorities, resolve escalations, and drive coordinated execution at scale.
<br><br>
Direct allocation of OpenAI’s research, product, and GTM resources across Capgemini-led engagements.
<br><br>
Govern Capgemini’s access to tiered OpenAI benefits, including engineering engagement, roadmap collaboration, co-build initiatives, and GTM priority, tied to performance.
<br><br>
Lead co-selling and execution of large, complex enterprise AI Cloud transformation opportunities.
<br><br>
Engage directly with enterprise executives across procurement, security, legal, risk, and technology functions.
<br><br>
Ensure Capgemini delivers OpenAI enterprise products as part of consulting cycles from strategy through long-term operations.
<br><br>
Enforce delivery quality, certification standards, and conflict-of-interest guardrails across Capgemini’s global workforce.
<br><br>
Define vertical strategy and lighthouse account selection across priority industries.
<br><br>
Stand up OpenAI’s dedicated Capgemini alliance team across partner management, technical success, enablement, and operations.
<br><br>
Build leadership bench strength and establish a durable cadence for alliance execution.
<br><br>
<b>You might thrive in this role if you have:</b><br>
Bachelor’s degree in Business, Technology, or a related field; equivalent practical experience welcomed. Master degree or MBA preferred.
<br><br>
8–12+ years of experience in partnerships, channel, business development, or growth roles within SaaS or product-led organizations.
<br><br>
Deep Capgemini experience with trusted senior-level relationships and strong command of internal decision dynamics.
<br><br>
Ownership of large-scale, multi-year partnerships with full commercial and operational accountability.
<br><br>
Global systems-integrator leadership experience across sales, delivery, and enablement.
<br><br>
Direct leadership in complex enterprise transformation deals involving executive sponsors and enterprise governance.
<br><br>
Proven ability to design and scale joint operating models between large organizations.
<br><br>
High-stakes execution leadership with comfort operating under accountability.
<br><br>
Ability to influence cross-functional leaders across product, sales, legal, communications, and partner organizations.
<br><br>
Platform and services go-to-market fluency.
<br><br>
Enterprise AI, cloud, and data transformation literacy with credibility among CIOs, CTOs, and enterprise architects.
<br><br>
About OpenAI
<br><br>
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
<br><br>
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
<br><br>
For additional information, please see
<br><br>
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
<br><br>
.
<br><br>
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
<br><br>
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
<br><br>
this form
<br><br>
. No response will be provided to inquiries unrelated to job posting compliance.
<br><br>
We are committed to providing reasonable accommodations to applicants with disabilities.
<br><br>
OpenAI Global Applicant Privacy Policy
<br><br>
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
<br><br>
Compensation
<br><br>
$378K – $420K + Offers Equity

Partner Director, Global Capgemini Alliance

Major League Soccer

<div>Overview:
<div>
Major League Soccer has built Fan Genome, a 360&deg; fan intelligence platform unifying demographic, behavioral, transactional, and engagement data across the league. MLS operates a modern cloud-native Lakehouse architecture built on medallion design, decoupled storage and compute, and distributed processing at scale.</div><div><br>
We are seeking a Director of Analytics Engineering &amp; BI Platform to lead the analytics engineering function and fully enable the BI organization on top of this existing foundation. This role focuses on curating scalable data products, standardizing enterprise metrics, strengthening semantic governance, and ensuring BI and AI use cases are supported by trusted, high-performance datasets.</div>
Responsibilities:
<div><b>
Lakehouse Enablement and Analytics Integration</b></div><ul><li>
Leverage MLS&rsquo;s existing Lakehouse architecture across bronze, silver, and gold layers to deliver scalable analytics and BI-ready data products.</li><li>
Define modeling, transformation, and serving standards that align analytics engineering workflows with the underlying platform.</li><li>
Partner with data engineering to ensure ingestion pipelines and core datasets support downstream BI and semantic requirements.</li><li>
Establish best practices for incremental processing, schema evolution, and open table usage within analytics use cases.</li><li>
Structure analytics workloads to take full advantage of decoupled storage and distributed compute capabilities.</li></ul><div><b>
Analytics Engineering &amp; Domain Data Products</b></div><ul><li>
Lead development and refinement of curated gold-layer datasets aligned to fan, commerce, content, and engagement domains.</li><li>
Implement scalable transformation frameworks leveraging distributed compute engines such as Spark or equivalent.</li><li>
Design domain-oriented data products built on large, incrementally processed tables rather than fragmented reporting schemas.</li><li>
Standardize transformation logic, automated testing, version control, CI/CD, and lineage tracking.</li><li>
Ensure data products are reusable, well-documented, and trusted across the organization.</li></ul><div><b>
BI Curation &amp; Enterprise Enablement</b></div><ul><li>
Curate and optimize analytics datasets specifically for Power BI and other enterprise BI tools.</li><li>
Design scalable BI-ready datasets that balance usability, governance, and performance.</li><li>
Optimize semantic models for query performance, refresh efficiency, and executive reporting requirements.</li><li>
Establish standards for dataset certification, lifecycle management, and metric consistency.</li><li>
Define best practices for incremental refresh, aggregation strategies, and performance tuning within Power BI.</li><li>
Provide structured partnership and ongoing support to ensure the BI team is fully enabled with stable, performant, and governed datasets.</li></ul><div><b>
Semantic Governance &amp; Knowledge Graph</b></div><ul><li>
Operate and evolve a centralized semantic layer that standardizes KPI definitions, hierarchies, and metric logic.</li><li>
Encode business rules programmatically to eliminate duplication across dashboards and downstream systems.</li><li>
Maintain a pragmatic semantic knowledge graph capability to model key entities and relationships across fan, commerce, and engagement domains.</li><li>
Ensure semantic assets are machine-readable and consistent across BI, APIs, and AI use cases.</li><li>
Implement metric certification, versioning, and change management processes.</li></ul><div><b>
Data Quality, Observability &amp; Contracts</b></div><ul><li>
Implement and mature a comprehensive data quality framework across medallion layers.</li><li>
Define SLAs for critical datasets and enterprise KPIs.</li><li>
Establish automated validation, reconciliation testing, anomaly detection, and freshness monitoring.</li><li>
Embed quality controls and semantic validation into analytics workflows.</li><li>
Formalize data and semantic contracts between upstream producers and BI consumers.</li></ul><div><b>
AI-Ready Data &amp; Metadata Foundations</b></div><ul><li>
Translate business logic and KPI definitions into structured, machine-readable representations.</li><li>
Maintain metadata-driven documentation capturing metric logic, lineage, and transformation dependencies.</li><li>
Ensure BI datasets and semantic assets are prepared for AI and advanced analytics use cases.</li><li>
Support integration with feature stores and emerging AI workflows where appropriate.</li></ul><div><b>
BI &amp; Asset Migration</b></div><ul><li>
Lead structured migration of legacy reporting assets and fragmented BI datasets into the unified Lakehouse and semantic architecture.</li><li>
Define migration playbooks including inventory, reconciliation, validation, parallel runs, and deprecation planning.</li><li>
Ensure metric parity and stakeholder confidence during transitions.</li></ul><div><b>
Leadership, Team Management &amp; Stakeholder Partnership</b></div><ul><li>
Lead, manage, and develop a high-performing analytics engineering team, including hiring, coaching, and performance management.</li><li>
Establish clear goals, operating rhythms, and accountability frameworks.</li><li>
Create career paths aligned to modern analytics engineering practices.</li><li>
Serve as a data champion across the organization, promoting enterprise data standards and metric consistency.</li><li>
Establish clear operating models across data engineering, analytics engineering, BI, and AI teams.</li><li>
Partner with executive stakeholders to translate business KPIs into governed semantic models and scalable data products.</li><li>
Foster a culture centered on engineering rigor, data quality, collaboration, and stakeholder alignment.</li></ul>
Qualifications:
<div><b>
E</b><b>ducation and Experience</b></div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, or related field required. Advanced degree preferred.</li><li>
10+ years of experience working with modern cloud-native data platforms and enterprise BI ecosystems.</li><li>
8+ years leading engineering or analytics teams in distributed data environments.</li></ul><div><b>
Required skills</b></div><div><br>
</div><div><b>Modern Lakehouse &amp; Distributed Systems</b></div><ul><li>
Proven experience working within large-scale Lakehouse architectures with medallion modeling.</li><li>
Strong understanding of decoupled storage and compute architectures.</li><li>
Experience with open table formats such as Apache Iceberg or Apache Hudi.</li><li>
Expertise in distributed processing engines such as Apache Spark.</li><li>
Experience designing analytics workflows over large tables in object storage environments.</li></ul><div><b>
BI Curation &amp; Power BI Expertise</b></div><ul><li>
Strong experience designing, optimizing, and governing Power BI datasets at scale.</li><li>
Deep understanding of semantic modeling within Power BI, including measures, calculation groups, incremental refresh, and performance tuning.</li><li>
Experience building certified enterprise datasets supporting executive reporting and self-service analytics.</li><li>
Ability to align Lakehouse data products with BI consumption-layer requirements.</li></ul><div><b>
Analytics Engineering &amp; Semantic Modeling</b></div><ul><li>
Experience designing domain-oriented data products in Lakehouse environments using medallion layering and distributed transformations.</li><li>
Demonstrated experience building governed semantic layers and enterprise metrics frameworks.</li><li>
Ability to encode business rules programmatically and maintain machine-readable metric logic.</li><li>
Working knowledge of semantic knowledge graph concepts and entity relationship modeling.</li></ul><div><b>
Data Quality &amp; Observability</b></div><ul><li>
Experience implementing automated data validation frameworks in distributed architectures.</li><li>
Strong understanding of reconciliation testing, SLA enforcement, and lineage tracking at scale.</li></ul><div><b>
AI-Ready Data Systems</b></div><ul><li>
Familiarity with feature stores, embeddings, and vector indexing concepts.</li><li>
Experience maintaining metadata-driven systems that support machine-readable business semantics and AI consumption of analytics assets.</li></ul><div></div><div><b><br>
Total Rewards</b></div><div>
Major League Soccer offers a competitive starting base salary of $200,000 - $230,000.00, based on individual qualifications, market financials, and operational business needs. We are committed to providing a Total Rewards package that attracts, supports, engages, and retains talent. Our benefits package includes comprehensive medical, dental, and vision coverage, a $500 wellness reimbursement, and generous Holiday and PTO schedule to promote work-life balance. We also prioritize career and professional development, offering on-the-job training, feedback, and ongoing educational opportunities.</div><div></div><div><br>
We believe in the power of in-person collaboration to fuel creativity, strengthen connections, and cultivate a vibrant workplace. As a result, employees are required to work from an MLS office at least four days a week. We understand the value of balance, so employees also have the flexibility of working remotely on Fridays, along with the option to take up to two additional remote flex days each month.</div><div></div><div><br>
At Major League Soccer, we are proud to be an equal opportunity employer. We value diversity and inclusion and believe that a diverse workforce enhances our ability to compete in the marketplace. We are committed to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.</div><div></div><div><br>
We are dedicated to ensuring that individuals with disabilities are provided reasonable accommodation throughout the job application or interview process, essential job functions, and other benefits and privileges of employment. If you require accommodation, please contact us to request it.</div><div></div><div><br>
Join our team and be part of the Major League Soccer family, where we elevate the game and inspire greatness!</div></div>

Senior Director, Analytics Engineering and BI Platform

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
This position is part of the AWS Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.<br>
<br>
Amazon Web Services (AWS) is seeking an exceptional Solutions Architect Leader to lead our Worldwide Public Sector (WWPS) Solutions Architecture team for Amazon Connect. This strategic leadership role will drive our customers' success with Applied AI Solutions such as Amazon Connect, and revenue growth across federal, state, local, and education (SLED) customers globally by leading a team of highly-capable and specialized Solutions Architects who enable public sector organizations to transform their customer experience and engagement capabilities leveraging Amazon Connect and AWS AI services.<br>
<br>
Key job responsibilities<br>
Lead and Scale the WWPS Connect SA Team: Build, mentor, and grow a global team of Solutions Architects specializing in Amazon Connect for public sector customers. Develop career paths, conduct performance management, and foster a culture of innovation and customer obsession.<br>
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Drive Public Sector Revenue Growth: Partner with sales, business development, and service teams to achieve ambitious ARR targets for Amazon Connect in the public sector. Develop and execute go-to-market strategies that address unique public sector requirements including FedRAMP, CJIS, ITAR, and other compliance frameworks.<br>
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Establish Scalable Mechanisms: Create repeatable solutions, reference architectures, and enablement programs that accelerate time-to-value for public sector customers. Build self-service resources and automation that multiply your team's impact across the global public sector customer base.<br>
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Technical Strategy and Thought Leadership: Define the technical vision for Amazon Connect in public sector, including AI-powered customer engagement solutions. Represent AWS at industry events, contribute to whitepapers, and influence product roadmaps based on public sector customer needs.<br>
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Cross-Functional Collaboration: Work closely with Amazon Connect product teams, WWSO technical teams, GTM programs, partner ecosystem, and AWS AI services teams to ensure public sector customer requirements are prioritized and addressed.<br>
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Customer Engagement: Participate in strategic customer engagements, executive briefings, and proof-of-concept initiatives that demonstrate Amazon Connect's value for mission-critical public sector use cases.<br>
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A day in the life<br>
Your day might start with a 1:1 coaching session with one of your Solutions Architects who is working through a complex FedRAMP High architecture for a federal agency's contact center modernization. You'll review their approach, share insights from similar engagements, and help them think through the compliance implications.<br>
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Mid-morning, you'll join a strategic planning session with the Amazon Connect product team to advocate for public sector-specific features your customers need, backed by data from recent customer conversations. You'll present a business case for enhanced audit logging capabilities that multiple defense customers have requested.<br>
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After lunch, you'll lead your weekly team meeting where you celebrate wins, share learnings from recent customer engagements, and introduce a new AI-powered solution accelerator your team developed that reduces implementation time by 40%. You'll also discuss how to scale this mechanism across the broader field organization.<br>
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In the afternoon, you'll join a customer executive briefing with a state government CIO exploring Amazon Connect for their citizen services transformation. You'll articulate the art of the possible, address concerns about data residency and compliance, and outline a phased migration approach that minimizes risk.<br>
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You'll end your day reviewing hiring pipelines, preparing feedback for promotion discussions, and strategizing with your peer leaders about how to better integrate Amazon Connect solutions with other AWS AI services to create more comprehensive customer engagement platforms for public sector customers.<br>
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About the team<br>
The Amazon Connect Worldwide Solutions Architecture team is at the forefront of transforming how organizations engage with their customers using AI-powered contact center solutions. As part of the Applied AI Solutions Architecture organization, we work on some of the most innovative and impactful customer engagement challenges across industries and geographies.<br>
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Our team culture emphasizes innovation, customer obsession, and continuous learning. We've established global demo environments, service-aligned solution architecture teams, and scalable mechanisms that enable us to support thousands of customers worldwide. We recently trained 60 WW Public Sector SAs to become Amazon Connect TFC Ambassadors, demonstrating our commitment to scaling expertise across the organization.<br>
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The Public Sector SA team you'll lead plays a critical role in helping government agencies, educational institutions, and other public sector organizations modernize their citizen and constituent engagement capabilities. Your team will work on mission-critical systems that serve millions of citizens, from emergency response centers to veteran services hotlines to student support systems.<br>
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We invest heavily in our people through mentorship programs, technical deep-dives, and opportunities to pioneer new solutions using our unique experiences and expertise. You'll have the autonomy to shape your team's strategy while being supported by a broader organization committed to your success and the success of your team members.<br>
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This role offers the opportunity to make a meaningful impact on how governments serve their citizens while building and leading a world-class team of technical experts.<br>
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Diverse Experiences<br>
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AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
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Why AWS?<br>
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Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
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Inclusive Team Culture<br>
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AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
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Mentorship &amp; Career Growth<br>
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We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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Work/Life Balance<br>
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We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</p><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>7+ years of management of technical, enterprise customer facing resources or equivalent experience</li><li>5+ years of infrastructure architecture, database architecture and networking experience</li><li>Bachelor's degree</li><li>Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.</li><li>5+ years of Amazon Connect or call/contact center technology experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience architecting, migrating, transforming or modernizing customer requirements to the cloud</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 221,100.00 - 299,200.00 USD annually<br>
USA, VA, Arlington - 201,000.00 - 272,000.00 USD annually<br>
USA, VA, Herndon - 201,000.00 - 272,000.00 USD annually<br>
USA, WA, Seattle - 201,000.00 - 272,000.00 USD annually</div><p></p>

WW Solutions Architecture Leader, Amazon Connect Public Sector, Applied AI Solutions, SA Team

Actively AI

<div>
 <strong>
  About Actively AI
  <br/>
  <br/>
 </strong>
 Our thesis is that businesses of the future will be powered by agentic human-in-loop-machines that make every business function 10x more efficient.
 <br/>
 <br/>
 Actively AI is building that superintelligent machine for Enterprise GTM organizations, focused on increasing productivity per rep. We power the day-to-day for outbound teams at dozens of companies like Samsara, Ramp, Verkada, and Ironclad.
 <br/>
 <br/>
 Why does this matter?
 <strong>
  Because revenue is the ultimate fuel for businesses.
 </strong>
 The hundreds of millions of dollars we generate for our customers enables them to employ more people, innovate faster, and deliver more value to
 <em>
  their
 </em>
 customers.
 <br/>
 <br/>
 In addition to top-notch customers that love our product, our team is incredibly high caliber - the co-founders are former Stanford AI researchers and the engineering team comes from Harvard, CMU, Berkeley, Brex, Scale AI, and Google. We're also backed by top investors, including Bain Capital Ventures, First Round Capital (seed investors in Uber, Square, Roblox, Clearbit), Lachy Groom, and Stanford AI faculty.
 <br/>
 <br/>
 We have a very ambitious product and scaling roadmap, there&rsquo;s strong market interest in what we are doing, and it&rsquo;s time to put the foot on the gas. If you get excited by the thought of working really hard on these kinds of problems with a high caliber team, then Actively AI is the right place for you.
 <br/>
 <br/>
 About the Role:
 <br/>
 <br/>
 We&rsquo;re looking for early engineers to help us move fast across product, infrastructure, and go-to-market. Our vision is simple but ambitious: build a platform that automates the sales research and planning workflows that slow teams down &mdash; and help GTM teams spend more time actually selling.
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 <br/>
 You&rsquo;ll work across the entire product, stack, and business &mdash; owning features end-to-end, shaping product strategy through user interaction, and building tools that directly unlock growth and scale.
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 This is a high-leverage, high-autonomy role, perfect for engineers who are hungry to build and ship fast, work closely with customers, and shape the future of the product and company.
 <br/>
 <br/>
 What You&rsquo;ll Do
 <br/>
 <br/>
 <ul>
  <li>
   Build and own core product features that deliver immediate value to users.
  </li>
  <li>
   Tackle technical complexity across the stack: data pipelines, infra, LLMs, and frontend UX.
  </li>
  <li>
   Talk directly to customers and pilot users to identify gaps, test new ideas, and iterate quickly.
  </li>
  <li>
   Contribute to our onboarding, implementation, and customer delivery processes &mdash; including tooling and automation.
  </li>
  <li>
   Collaborate with engineering and product to prioritize roadmap items based on user impact.
  </li>
  <li>
   Think holistically about the product and business &mdash; helping shape GTM strategy, sales enablement tools, and internal ops.
   <br/>
   <br/>
  </li>
 </ul>
 A Typical Week Might Include
 <br/>
 <br/>
 <ul>
  <li>
   Joining customer calls to understand how reps use the product and where it can improve.
  </li>
  <li>
   Shipping a feature that delivers a step change in ROI for pilot users.
  </li>
  <li>
   Troubleshooting onboarding or LLM performance issues and pushing hotfixes.
  </li>
  <li>
   Building a new internal tool to streamline sales team workflows.
  </li>
  <li>
   Brainstorming new value props with the founders and contributing to pitch iterations.
   <br/>
   <br/>
  </li>
 </ul>
 Who You Are
 <br/>
 <br/>
 <ul>
  <li>
   <strong>
    Builder at Heart
   </strong>
   &ndash; You love building things from scratch and are obsessive about the details.
  </li>
  <li>
   <strong>
    Technical Depth
   </strong>
   &ndash; Strong engineering and/or ML background, with experience or interest in LLMs and large-scale data processing.
  </li>
  <li>
   <strong>
    High Ownership
   </strong>
   &ndash; You&rsquo;ve owned product areas or infrastructure before, and thrive on autonomy.
  </li>
  <li>
   <strong>
    Customer-Obsessed
   </strong>
   &ndash; You get energy from talking to users and thinking from their perspective.
  </li>
  <li>
   <strong>
    Fast, Curious, and Iterative
   </strong>
   &ndash; You learn quickly, move fast, and constantly seek feedback.
  </li>
  <li>
   <strong>
    Career Trajectory
   </strong>
   &ndash; You're looking for a big leap forward &mdash; in ownership, impact, and growth.
   <br/>
   <br/>
  </li>
 </ul>
 Bonus Points
 <br/>
 <br/>
 <ul>
  <li>
   Former founder or 2+ years at a high-growth startup in a customer-facing role.
  </li>
  <li>
   Experience working directly on delivery, implementation, or sales engineering teams.
  </li>
  <li>
   Built or scaled LLM-based or AI-powered products in production.
   <br/>
   <br/>
  </li>
 </ul>
 Benefits:
 <br/>
 <br/>
 <ul>
  <li>
   🚀 Competitive Early-Stage Equity
  </li>
  <li>
   ⚕ Health, Dental, Vision Coverage
  </li>
  <li>
   💡 Unlimited PTO + Recharge Days
  </li>
  <li>
   🍽️ Catered Lunch on Tuesday &amp; Friday w/ Dinners every day!
  </li>
  <li>
   🍿 Fully Stocked Kitchen
  </li>
  <li>
   💻 Cutting-Edge Tech &amp; Tools
  </li>
  <li>
   🌴 Annual Off-sites &amp; Monthly Events
  </li>
  <li>
   🚆 Commuter Benefits
   <br/>
   <br/>
  </li>
 </ul>
 Actively AI provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Actively AI factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Actively AI leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Actively.ai reserves the right to modify this information at any time, subject to applicable law. Actively AI is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Actively AI is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.
 <br/>
 <br/>
 Compensation Range: : $140,000 USD - $180,000 USD
</div>


Software Engineer (AI/LLM)

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