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artificial intelligence (ai) engineer

senior engineer data protection ai security

Bain Capital

<div>Bain Capital Overview:
With approximately $215 billion of assets under management, Bain Capital is one of the world&rsquo;s leading private investment firms. We create lasting impact for our investors, teams, businesses, and the communities in which we live. Over four decades we have strategically grown our platform to focus on Private Equity, Growth &amp; Venture, Capital Solutions, Credit, and Real Assets. Today, our team includes 1,985+ employees in 24 offices on four continents.
We partner differently to help people and companies embrace possibility and realize potential. Founded as a private partnership in 1984, we have fostered a culture of innovation, entrepreneurialism, and agility, empowering our people to define and own their career trajectories. Today, our partnership approach enables us to pursue strategic growth, build enduring relationships with a robust external network, and collaborate across our integrated platform to connect the deep and diverse expertise that unlocks breakthrough insights.
Our people are the heart of our advantage. Colleagues at all levels have a seat at the table as they tackle business challenges with a principal investor mindset. By asking incisive questions, respectfully challenging one another, and remaining intellectually agile, we work together to achieve exceptional outcomes.
For more information visit: Bain Capital
Position Overview
Bain Capital&rsquo;s Information Security team is seeking a Senior Engineer, Data Protection &amp; AI Security to own and advance the firm&rsquo;s data security posture and AI security capabilities. This is a hands-on engineering role responsible for deploying, operationalizing, and maturing the platforms and processes that protect the firm&rsquo;s most sensitive data&mdash;across cloud environments, SaaS applications, databases, and AI workflows.
The ideal candidate combines deep technical expertise in data security platforms (DSPM, DLP, data classification) with a forward-looking understanding of how AI adoption introduces new data risks. This person will work closely with Security Engineering, Cloud Operations, the Data Science team, and platform owners to build a cohesive data protection program&mdash;one that addresses both traditional data governance gaps and the emerging challenge of securing enterprise AI tools and workflows.
This is not a monitoring or compliance role. This is an engineering role for someone who builds things, owns outcomes, and can operate independently in a fast-moving environment with a growing security platform portfolio.<div></div>
Key Responsibilities
Data Security Posture Management<ul><li>
Own the end-to-end deployment, configuration, and operationalization of the firm&rsquo;s DSPM platform, including onboarding data sources across public cloud environments, cloud data warehouses, SQL databases, and network file shares</li><li>
Triage and prioritize DSPM findings, coordinate remediation with data owners and infrastructure teams, and build reporting workflows that translate discovery results into actionable risk reduction</li><li>
Rationalize DSPM capabilities across the security tool portfolio to eliminate overlap between cloud-native application protection, DSPM, and endpoint-based data security platforms</li><li>
Partner with Cloud Operations and application teams to navigate technical integration challenges, including IAM permissions, network connectivity, and change management processes</li></ul>
Data Classification &amp; Governance<ul><li>
Design and implement a data classification framework that establishes sensitivity levels, ownership models, and handling requirements for the firm&rsquo;s data</li><li>
Develop and maintain data classification policies that inform downstream controls across DLP, DSPM, access governance, and backup immutability</li><li>
Serve as the security team&rsquo;s subject matter expert on data governance, partnering with Compliance and business stakeholders to align classification efforts with regulatory and operational requirements</li></ul>
AI Security<ul><li>
Evaluate, deploy, and manage AI security monitoring tools to provide visibility into sanctioned and unsanctioned AI usage across the enterprise</li><li>
Develop detection capabilities for sensitive data exposure through GenAI workflows, including monitoring for data leakage via AI prompts, outputs, and integrations with enterprise tools</li><li>
Establish and maintain an AI governance operating model in coordination with the CISO and the Data Science team, including sanctioned tool inventories, acceptable use guardrails, and risk-based approval workflows for new AI applications</li><li>
Stay current on evolving AI security frameworks (OWASP LLM Top 10, NIST AI RMF, MITRE ATLAS) and translate emerging threats into practical defensive measures for the firm</li></ul>
Data Loss Prevention &amp; Insider Threat<ul><li>
Manage and enhance the firm&rsquo;s DLP and insider threat platforms to prevent unauthorized data movement across endpoints, cloud applications, and email</li><li>
Develop and tune DLP policies informed by DSPM discovery and data classification outputs, ensuring controls are risk-proportionate and operationally sustainable</li><li>
Partner with Security Operations to integrate data protection alerts into the firm&rsquo;s SOAR platform for automated triage and response workflows</li></ul>
TECHNOLOGY EXPERIENCE<ul><li>
Hands-on experience deploying and operating Data Security Posture Management (DSPM) platforms</li><li>
Strong working knowledge of cloud security in public cloud environments (AWS preferred), including IAM roles and policies, object storage security, VPC architecture, and infrastructure-as-code templates</li><li>
Experience with enterprise DLP platforms and insider threat tools, including policy development, tuning, and incident workflows</li><li>
Familiarity with data classification methodologies and tools across structured and unstructured data environments</li><li>
Experience with SaaS Security Posture Management (SSPM) platforms</li><li>
Working knowledge of AI/ML security concepts, including GenAI data leakage vectors, prompt injection risks, and shadow AI discovery</li><li>
Experience integrating security tools via APIs and working with SOAR and automation platforms</li><li>
Proficiency with cloud data warehouses, SQL databases, and cloud object storage from a security and access governance perspective</li><li>
Familiarity with enterprise identity providers and identity governance platforms as they relate to data access controls</li></ul><div></div>
Qualifications<ul><li>
Bachelor&rsquo;s degree in computer science, information security, or a related technical field (or equivalent professional experience)</li><li>
7+ years of experience in information security, with at least 3 years focused on data security, data protection, or cloud security engineering</li><li>
Demonstrated ability to own and drive complex, multi-stakeholder technical projects from planning through operationalization</li><li>
Strong understanding of data privacy and protection regulations relevant to financial services (GLBA, SOX, SEC guidelines, GDPR)</li><li>
Excellent written and verbal communication skills, with the ability to translate technical findings into business risk language for senior leadership</li><li>
A self-starter with an ownership mindset who thrives in a lean team environment where independent judgment and initiative are expected</li><li>
Experience in financial services, private equity, or asset management is strongly preferred</li></ul>
Preferred Certifications
CISSP, CCSP, CCSK, AWS Security Specialty, or relevant GIAC certifications. Certifications in AI security (CAISP) or data privacy (CIPP/US) are a plus.
Join our team and play a foundational role in building the firm&rsquo;s data protection and AI security capabilities from the ground up&mdash;shaping how Bain Capital discovers, classifies, and protects its most critical data in an era of rapid AI adoption.
Compensation:
Expected Annual Base Salary $125,000-$155,000
Actual base salary will be determined by a wide range of factors including but not limited to role, function, level, experience, qualifications and geographic location. In addition to a competitive base salary, this position may be eligible for a discretionary annual bonus based upon factors such as individual impact, team and firm performance. Bain Capital offers a competitive benefits package designed to support employees&rsquo; health, financial security, family needs, and overall well-being.
Bain Capital is an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status</div>

Senior Engineer, Data Protection & AI Security

Data Engineer (Python & SQL)

State Street

<div>We are seeking an experienced Officer‑level Senior Data Engineer to design, build, and support modern cloud‑based data engineering solutions that enable analytics, reporting, and AI use cases for Sales and Business teams. This role focuses on hands‑on engineering with AWS Cloud,Redshift, Databricks, Snowflake, and modern data pipelines, ensuring high‑quality, secure, and scalable data platforms.
The role requires strong ownership of technical components, independence in execution, and close collaboration with cross‑functional stakeholders while operating as a senior individual contributor.
Job Description
Key Responsibilities &amp; Experience Range<ul><li>
Design, develop, and support end‑to‑end data pipelines using cloud‑based platforms such as AWS, Redshift ,Databricks, and Snowflake.</li><li>
Build scalable data ingestion, transformation, and validation frameworks using Python, SQL, and Shell scripting</li><li>
Develop and optimize data pipelines for performance, reliability, and data quality</li><li>
Partner with product owners, analytics teams, and downstream consumers to translate business requirements into technical solutions</li><li>
Support production stability, incident resolution, and root‑cause analysis for data platforms</li><li>
Actively participate in architecture discussions, design reviews, and technical walkthroughs</li><li>
Follow Agile delivery practices, including sprint planning, estimation, and issue tracking using JIRA</li><li>
Ensure compliance with data security, governance, and SDLC standards</li><li>
Continuously identify opportunities to improve efficiency, automation, and platform capability</li><li>
Good Analytical skills to understand the business requirements and translate them into Technical specifications</li><li>
Good hands-on to AWS Data storage products like AWS S3 and Amazon Redshift.</li><li>
Ability to participate in major incident management, production stability, etc as and when required</li><li>
Good Exposure to code versioning tool GIT, Bitbucket and CI/CD Process and project collaboration platform JIRA</li><li>
Excellent verbal and written communication and should be able to work with all the stakeholders.</li><li>
Prior experience on working in Agile project management practices</li></ul>
Qualification &amp; Certifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>
6&ndash;10 years of overall IT experience, with strong focus on Data Engineering</li><li>
4+ years of hands‑on experience building data pipelines on cloud platforms</li><li>
Proven experience working as a senior data engineer/ETL expert on complex technical problem statements</li><li>
Excellent communication and leadership skills.</li></ul>
Primary Skills (Must Have)<ul><li>
Proficient on designing ,developing and supporting Data pipelines with AWS S3,AWS Redshift, YAML Sripting ,Apache Airflow and Shell Scripting.</li><li>
Solid AWS Cloud experience, including EC2, S3, IAM, and cloud‑based data architectures</li><li>
Proficiency in Python for data engineering and automation</li><li>
Strong SQL skills for data analysis, validation, and performance tuning</li><li>
Experience writing and maintaining Shell scripts for automation and operational support</li><li>
Good understanding of Data Warehousing, Data Lakes, and Data Quality concepts</li><li>
Ability to independently analyze requirements and deliver technical solutions</li></ul>
Secondary Skills (Good to Have)<ul><li>
Exposure on AWS Cloud Tech Stack for Data Engineering.</li><li>
Good to have hands on Databricks and Snowflake.</li><li>
Exposure to any financial/asset management domain or sales and marketing would be added advantage.</li><li>
Knowledge of networking fundamentals and key management services</li><li>
Exposure to Complete CI/CD Process for Deployment and Releases.</li><li>
Good understanding/hands-on of application of AI /ML in data engineering and data quality.</li></ul>
Salary Range:
$70,000 - $118,750 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street&rsquo;s comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.<h1 class="jobSectionHeader">
About State Street</h1>
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you&rsquo;ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</div>

Senior Data Engineer - Cloud & Analytics, Officer - State Street Investment Management

Berkshire Hathaway Specialty Insurance

<div><div>Who are we?</div><div></div><div> 
A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway&rsquo;s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.</div><div></div><div> 
We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?</div><div></div><div> 
Learn more about our unique culture and history.</div><div></div><div> 
Job Opportunity:</div><div></div><div> 
Berkshire Hathaway Specialty Insurance (BHSI) is seeking a forward‑thinking Cloud Security leader with a strong grounding in AI Security to join our Boston-based team. This role offers a unique opportunity to define and advance our cloud security strategy across modern, mission‑critical platforms, operating at the intersection of technology, risk, and business impact.</div><div></div><div> 
As a core member of our cybersecurity leadership team reporting directly to the CISO, you will drive the evolution of our cloud and AI security ecosystems&mdash;establishing governance, controls, and compliance across our cloud infrastructure while helping secure our growing Artificial Intelligence footprint. If you are passionate about shaping the future of cloud security and influencing how secure systems and services are built and governed, we&rsquo;d welcome the conversation.</div><div> 
Duties &amp; Responsibilities:</div><div></div><ul><li> 
Cloud Security /AI Security Strategy &amp; Governance:<ul><li>
Develop and maintain the organization&rsquo;s cloud security and AI security strategy, standards, and policies across IaaS, PaaS, and SaaS environments.</li><li>
Define and enforce cloud architecture security principles aligned with Zero Trust.</li><li>
Identify and enforce AI security controls and configurations aligned with our cloud architecture</li><li>
Lead cloud and AI risk assessments, gap analysis, and initiative planning.</li><li>
Guide migration and modernization efforts to ensure secure-by-design implementations.</li></ul></li></ul><div></div><ul><li> 
Operational Security &amp; Threat Management:<ul><li>
Oversee the configuration, monitoring, and continuous improvement of:<ul><li>
CSPM (Cloud Security Posture Management)</li><li>
CWPP/CNAPP (Cloud Workload Protection / Cloud-Native Security)</li><li>
SIEM/SOAR integrations for cloud telemetry</li><li>
Identity threat detection (ITDR)</li></ul></li><li>
Direct incident response for cloud-related security events in collaboration with SOC/IR teams.</li><li>
Ensure continuous monitoring for misconfigurations, vulnerabilities, and anomalies.</li></ul></li></ul><div></div><ul><li> 
Identity, Access, and Data Protection<ul><li>
Support cloud &amp; AI IAM frameworks (least privilege, conditional access, workload identities).</li><li>
Drive cloud-related adoption of encryption, secrets management, and key management (BYOK/CMK).</li><li>
Ensure efficacy of data classification and DLP controls across cloud environments.</li></ul></li></ul><div></div><ul><li> 
DevSecOps &amp; Engineering Partnership<ul><li>
Embed security controls and testing into CI/CD pipelines in collaboration with AppSec.</li><li>
Oversee IaC scanning and container security while supporting SAST/DAST and supply chain security.</li><li>
Collaborate with engineering to remediate findings and architect secure workloads.</li></ul></li></ul><div></div><ul><li> 
Compliance &amp; Risk Management<ul><li>
Ensure cloud environments meet regulatory and compliance requirements.</li><li>
Own cloud security and AI security audits and evidence collection.</li><li>
Mature asset inventories, risk registers, and control documentation.</li></ul></li></ul><div></div><ul><li> 
Leadership &amp; Stakeholder Management<ul><li>
Build and mentor a team of cloud security &amp; AI security engineers/analysts.</li><li>
Provide regular reporting to security leadership and executives.</li><li>
Partner across technology, infrastructure, DevOps, and architecture.</li></ul></li></ul><div></div><div> 
 Qualifications, Skills and Experience:</div><div><ul><li>
5&ndash;10+ years of experience in cybersecurity, with a focus on cloud security.</li><li>
Hands-on experience with AWS, Azure, or GCP security services.</li><li>
Strong knowledge of:<ul><li>
Cloud IAM and identity governance</li><li>
Network security (VPCs/VNets, firewalls, segmentation)</li><li>
Cloud-native monitoring, threat detection, and logging</li><li>
Infrastructure-as-Code (Terraform, CloudFormation, Bicep)</li></ul></li><li>
Experience with CSPM, CWPP/CNAPP, SIEM, SOAR, and vulnerability management tools.</li><li>
Knowledge of compliance frameworks and cloud shared responsibility models.</li></ul></div><div></div><div> 
BHSI Offers:</div><div><ul><li>
A competitive package and exciting growth opportunities for career-oriented teammates</li><li>
A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates and our other stakeholders</li><li>
A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework</li></ul></div><ul><li>
Benefits that support your life and well-being, which include:</li></ul><div><ul><li>
Comprehensive Health, Dental and Vision benefits</li><li>
Disability Insurance (both short-term and long-term)</li><li>
Life Insurance (for you and your family)</li><li>
Accidental Death &amp; Dismemberment Insurance (for you and your family)</li><li>
Flexible Spending Accounts</li><li>
Health Reimbursement Account</li><li>
Employee Assistance Program</li><li>
Retirement Savings 401(k) Plan with Company Match</li><li>
Generous holiday and Paid Time Off</li><li>
Tuition Reimbursement</li><li>
Paid Parental Leave</li></ul></div><div></div><div> 
The base salary range for this position in Boston is $150,000.00 to $220,000.00, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates &ndash; both their capabilities and character &ndash; as demonstrated by our amazing culture.</div><div></div><div> 
NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization</div></div>

Senior Director, Cloud Security & AI Security

Prolific

<div>
 HTML/CSS - Senior Developers - AI Training - USA
 
 
 
 About Prolific
 
 
 
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 
 
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 
 
 
 The role
 
 
 
 We're looking for
 
 Senior HTML/CSS Developers
 
 to join our Expert Network to help train and evaluate cutting-edge AI models. If you have a background in
 
 Software Engineering
 
 or
 
 Frontend Development
 
 , we'll send you a quick 10- to 15-minute test to assess your skills. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to help AI understand and produce high-quality frontend code and design implementation.
 
 
 Researchers looking for your skills tend to pay up to
 
 $40/hr, depending on skills and experience
 
 . You must be prepared to complete paid tasks that require
 
 one hour of uninterrupted work
 
 , though many are shorter.
 
 
 
 What you'll bring
 
 
 
 <ul>
 <li>
 
 Educational Background:
 
 a BSc or higher in Computer Science, Software Engineering, Web Development, or a closely related technical field.
 </li>
 <li>
 
 Professional Experience:
 
 real-world experience as a Senior Frontend Developer or UI Engineer specialising in HTML/CSS.
 </li>
 <li>
 
 Coding Proficiency:
 
 ability to independently build complex, responsive layouts and components without relying on frameworks or libraries.
 </li>
 <li>
 
 Deep Domain Knowledge:
 
 expert understanding of the CSS cascade, specificity, the box model, Flexbox, CSS Grid, accessibility standards (WCAG), and cross-browser compatibility.
 </li>
 <li>
 
 Code Quality:
 
 a high standard for clean, semantic markup and maintainable CSS, including adherence to BEM methodology, design tokens, and modern CSS standards.
 
 
 </li>
 </ul>
 
 What you'll be doing in the role
 
 
 
 <ul>
 <li>
 
 Evaluate Code Accuracy:
 
 review AI-generated HTML/CSS for functional correctness, semantic structure, and adherence to best practices.
 </li>
 <li>
 
 Validate Logic &amp; Reasoning:
 
 audit the step-by-step explanations provided by AI for layout solutions and styling approaches to ensure they are technically sound.
 </li>
 <li>
 
 Conduct Execution Testing:
 
 render model-generated markup and stylesheets in appropriate environments to verify visual output and cross-browser behaviour.
 </li>
 <li>
 
 Annotate Model Performance:
 
 identify areas where a model produces inaccessible markup, inefficient selectors, deprecated attributes, or hallucinated CSS properties.
 </li>
 <li>
 
 Refine Technical Logic:
 
 provide structured feedback on how models reason through responsive design, component architecture, or design system implementation.
 
 
 </li>
 </ul>
 
 Key Technologies
 
 
 
 <ul>
 <li>
 
 Core Languages:
 
 expert mastery of HTML5 and CSS3/4, including custom properties, animations, and modern layout systems.
 </li>
 <li>
 
 Frameworks &amp; Methodologies:
 
 extensive experience with Tailwind CSS, SASS/SCSS, or CSS Modules, and familiarity with component-driven design systems.
 </li>
 <li>
 
 Testing &amp; Tools:
 
 proficiency with browser DevTools, accessibility auditing tools (e.g., axe, Lighthouse), and cross-browser testing platforms.
 
 
 </li>
 </ul>
 
 Why Prolific is a great platform to join as a Participant
 
 
 
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 
 
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 
 
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breadth and the best of humanity.
 
 
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 
 Privacy Statement
 
 
 
 By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.
</div>

HTML/CSS - Senior Developers - AI Training - Boston, USA

NAMETAG

<div>Team: Sales / Solution Engineering

Mindset: Own the technical win.
<h3 class="jobSectionHeader">
About Nametag</h3>

Nametag is a category leader in identity verification, security, and account protection. We sell into security-conscious enterprises with complex environments, and high technical standards. Our Solutions Engineers are trusted technical partners to both customers and Account Executives&mdash;and are accountable for proving value, not just explaining it.

We value intellectual curiosity, collaboration, and a strong sense of responsibility in protecting enterprise security.
<h3 class="jobSectionHeader">
About the Role</h3>

We're hiring an Enterprise Solutions Engineer to own the technical motion in complex enterprise deal cycles. This role partners directly with Account Executives to drive new business and expansion, assisting with discovery, shaping technical strategy, and running proofs-of-concept that align to the buyer's security, identity, and implementation criteria.

This is not a demo jockey role. You are responsible for the technical win&mdash;from first technical conversation through POC success and into a clean, confident handoff to post-sales. You'll stay engaged through implementation to ensure what was sold is what gets delivered, on time and against the buyer's stated objectives.
<h3 class="jobSectionHeader">
Responsibilities</h3>
<ul><li>Partner closely with Account Executives to drive the technical validation for enterprise new business and expansion opportunities.</li>
<li>Lead deep technical discovery to understand customer identity architecture, security posture, and success criteria.</li>
<li>Own and execute enterprise-grade demos and proof-of-concept, clearly tied to documented success criteria reflecting customer requirements around relevant use cases,, risk factors, and decision criteria.</li>
<li>Articulate Nametag's value in the context of IAM, authentication flows, and account protection&mdash;not just product features.</li>
<li>Serve as the primary technical adviser during the sales cycle, building trust with security, IT, and identity stakeholders.</li>
<li>Define clear technical success criteria and acceptance standards for each deal.</li>
<li>Own the handover to post-sales, ensuring Solutions Engineering, Customer Success, and Technical Customer Engineering teams have full context.</li>
<li>Provide continuity and technical oversight during implementation to ensure onboarding stays aligned with what was sold and agreed.</li>
<li>Surface product gaps, competitive insights, and recurring objections to Product and Leadership.</li>
Support renewals and expansions as necessary by re-engaging on architecture changes, new use cases, integration opportunities, and evolving security requirements. 
<li>
</li>
</ul><h3 class="jobSectionHeader">Tech You'll Work With</h3>
<ul><li>Identity and access management platforms: Okta, Microsoft Entra ID (Azure AD), Auth0, Ping, Duo</li>
<li>Authentication and federation standards: SAML, OIDC, OAuth, SSO, MFA</li>
<li>Enterprise IT and workflow systems: ServiceNow, custom internal platforms</li>
<li>REST APIs, webhooks, and modern SaaS architectures</li>
<li>Cloud environments and enterprise security tooling</li>
<li>Customer demo, POC, and evaluation environments</li>
</ul><h3 class="jobSectionHeader">Qualifications</h3>
<ul><li>5+ years experience in Pre-sales Solutions Engineering, Sales Engineering, or Technical Consulting in B2B SaaS.</li>
<li>Strong background in IAM, cybersecurity, or enterprise infrastructure.</li>
<li>Hands-on experience with SAML SSO, identity federation, and enterprise authentication flows.</li>
<li>Proven track record running successful enterprise POCs and technical evaluations.</li>
<li>Comfortable engaging with senior technical buyers (Security, IAM, IT Architecture).</li>
<li>Strong written and verbal communication skills&mdash;able to explain complex systems clearly and credibly.</li>
<li>Bonus: Experience supporting post-sale implementations or working closely with Customer Success teams.</li>
</ul><h3 class="jobSectionHeader">Who Will Succeed in This Role If</h3>
<ul><li>You take personal ownership of the technical win.</li>
<li>You think demos should prove outcomes, not just show features.</li>
<li>You're comfortable pushing back when a POC is poorly scoped or misaligned.</li>
<li>You care deeply about clean handoffs and long-term customer success.</li>
<li>You enjoy complex environments where trust, clarity, and execution matter.</li>
</ul><h3 class="jobSectionHeader">Why Join</h3>

You'll work on high-impact enterprise deals where technical credibility is decisive. You'll partner closely with Sales, Product, and Customer Success leadership, influence how we sell and onboard at scale, and help define Nametag's technical reputation in the market.</div>

Enterprise Solutions Engineer (pre-sales)

Yogi Careers

<div>
 
 
 Overview:
 
 
 
 
 
 We&rsquo;re looking for a Data Engineer to build and maintain the data infrastructure that powers machine learning initiatives. You&rsquo;ll work at the intersection of software engineering and data science.
 
 
 
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Develop and maintain feature stores and ML-ready datasets
 </li>
 <li>
 Automate data preprocessing pipelines for ML model training and evaluation
 </li>
 <li>
 Collaborate with ML engineers to enable scalable experimentation workflows
 </li>
 <li>
 Monitor and improve data reliability, lineage, and reproducibility
 
 
 </li>
 </ul>
 
 
 Requirements:
 
 
 
 
 <ul>
 <li>
 BS/MS in Computer Science, Data Engineering, or similar
 </li>
 <li>
 Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
 </li>
 <li>
 Strong Python and SQL skills, with familiarity in Spark or Dask
 </li>
 <li>
 Experience with Airflow, MLflow, or Kubeflow pipelines
 </li>
 <li>
 Solid understanding of MLOps, data validation, and model versioning
 
 
 </li>
 </ul>
 
 Job Category:
 
 Data Engineer
 
 
 
 Job Type:
 
 Full Time
 
 
 
 Job Location:
 
 Boston
 
 
 Apply for this position
 
 
 Full Name *
 
 
 Email *
 
 
 Phone *
 
 
 Cover Letter *
 
 
 Upload CV/Resume *Allowed Type(s): .pdf, .doc, .docx
 
 
 By using this form you agree with the storage and handling of your data by this website. *
 
 
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Develop and maintain feature stores and ML-ready datasets
 </li>
 <li>
 Automate data preprocessing pipelines for ML model training and evaluation
 </li>
 <li>
 Collaborate with ML engineers to enable scalable experimentation workflows
 </li>
 <li>
 Monitor and improve data reliability, lineage, and reproducibility
 
 
 </li>
 </ul>
 
 
 Requirements:
 
 
 
 
 <ul>
 <li>
 BS/MS in Computer Science, Data Engineering, or similar
 </li>
 <li>
 Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
 </li>
 <li>
 Strong Python and SQL skills, with familiarity in Spark or Dask
 </li>
 <li>
 Experience with Airflow, MLflow, or Kubeflow pipelines
 </li>
 <li>
 Solid understanding of MLOps, data validation, and model versioning
 
 
 </li>
 </ul>
 
 Job Category:
 
 Data Engineer
 
 
 
 Job Type:
 
 Full Time
 
 
 
 Job Location:
 
 Boston
 
 
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Develop and maintain feature stores and ML-ready datasets
 </li>
 <li>
 Automate data preprocessing pipelines for ML model training and evaluation
 </li>
 <li>
 Collaborate with ML engineers to enable scalable experimentation workflows
 </li>
 <li>
 Monitor and improve data reliability, lineage, and reproducibility
 
 
 </li>
 </ul>
 
 
 Requirements:
 
 
 
 
 <ul>
 <li>
 BS/MS in Computer Science, Data Engineering, or similar
 </li>
 <li>
 Experience with ML platforms (Databricks, AWS Sagemaker, Vertex AI)
 </li>
 <li>
 Strong Python and SQL skills, with familiarity in Spark or Dask
 </li>
 <li>
 Experience with Airflow, MLflow, or Kubeflow pipelines
 </li>
 <li>
 Solid understanding of MLOps, data validation, and model versioning
 </li>
 </ul>
</div>

Data Engineer – AI/ML Data Infrastructure

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