The Role: Building the Engine for AI TransformationSmartly’s Operations culture is evolving. We are building an intelligent, automated ecosystem that powers our entire global organization. As an Senior Solutions Engineer, you will be the primary technical partner for our AI Transformation team. While they identify strategic AI opportunities, you are responsible for the execution—building the connectors, agents, and interfaces that allow our internal teams to leverage AI in their daily work. You will serve as a bridge between technical solutions and operational excellence. Your core responsibility involves identifying areas of inefficiency and disjointed processes ("silos") and resolving them by developing intelligent workflows, scalable internal tools, and effective code to ensure smooth, integrated operations. We are looking for a "builder" who thrives on independence and is obsessed with the "How can we do this better?" mindset. As an Senior Solutions Engineer at Smartly, you will... - Partner with AI Transformation team: Collaborate with the AI Transformation team to productize AI and automation prototypes, ensuring that new tools and agentic capabilities are successfully integrated into internal business processes. - Orchestrate Internal Automations: Build and maintain a wide variety of internal tools and workflows for most teams across the company; these solutions range from traditional API-based automations to complex AI agentic workflows. - Modernize Internal Systems: Develop and scale the internal tools and processes that enable teams to move faster, utilizing a blend of AI-driven agents and standard programmatic automations to solve operational needs. - Own the Backend: Maintain and expand our internal microservices architecture, primarily running on TypeScript and NodeJS. - Cloud Infrastructure Management: Independently manage and optimize our cloud infrastructure (we primarily use Google Cloud Platform), ensuring our internal tools and AI services are performant, secure, and scalable. - Build Service Integrations: Act as the master of APIs, integrating disparate internal and external services (Salesforce, Slack, Big Query, data warehouse etc.) to create seamless data flows for both users and AI agents. We’re definitely looking for you if you have... - Innovative & Experimental Mindset: You are naturally curious and enjoy experimenting with new technologies. Our work involves frequent exploration of emerging tech stacks and AI libraries, so you should be comfortable navigating ambiguity and testing new tools. - A Builder’s Background: A versatile technical background with exposure in Software Engineering, Data Engineering, or Artificial Intelligence—with a strong track record of building diverse technical solutions, internal automations, and scalable data pipelines. - TypeScript/NodeJS Mastery: Strong proficiency in TypeScript and NodeJS (Koa/Express experience is a major plus). - AI Implementation Experience: Proven experience building and maintaining AI agentic workflows or MCPs. You know how to leverage LLM APIs (Vertex AI/OpenAI) to build practical, task-oriented agents. - Prompt Engineering: You have a deep understanding of prompt engineering techniques to produce high-quality, structured, and reliable outputs from LLMs. You can design, test, and iterate on prompts for complex agentic tasks. - API Expertise: High familiarity with REST APIs and complex service-to-service integrations. - Self-Driven Learning: The ability to dive into microservices, understand its logic, and implement modern solutions without constant supervision. - Collaborative Mindset: The ability to translate needs from most internal teams into technical requirements that solve real-world problems for non-technical stakeholders. Bonus Points for: - Automation Platforms: Experience with workflow automation tools like Zapier, n8n, or similar platforms used to build and orchestrate agentic workflows. - React Skills: Ability to build or tweak frontend admin dashboards to make your automations accessible to internal users. - AdTech Background: Familiarity with Meta GraphAPI, TikTok Ads, or Google Ads APIs. About SmartlySmartly is the AI-powered advertising technology company transforming ad experiences for brands and their consumers. Our comprehensive advertising platform seamlessly integrates the capabilities of media, creative, and intelligence to power more than 800 billion impressions and generate more than 300 billion creatives annually, delivering tangible business outcomes for brands and advertisers. Smartly is the only company in the industry recognized as a Leader in The Forrester Wave: Creative Advertising Technologies with PwC validating the results it delivers for brands. We manage creative and media for 700+ brands worldwide and $6B in ad spend across the largest media platforms, including Facebook, Google, Instagram, Pinterest, Snap, and TikTok. Our end-to-end technology, unmatched access to media platforms and exceptional customer service help Fortune 500 brands to reach and engage consumers and learn what performs best.Smartly is a multinational and diverse team of 750+ Smartlies from 60+ nationalities, working in 13 countries. Together, we want to create and maintain an inclusive environment where everyone feels respected and heard. Our Diversity, Equity & Inclusion approach is at the heart of it. Visit Smartly to learn more. The processing of your information is described in our Candidate Privacy Notice.

• Serve as a forward deployed architect . You will go deep with target customers, identify their Jobs to be Done, and build working AI-native prototypes that solve real problems — not slide decks. • Collaborate with customers and internal teams to understand key business objectives and define solution implementation requirements. • Provide implementation recommendations and enablement across data warehouse, customer data platforms, CRM integrations, forms, web tracking, and product activity data. • Plan and lead customers through implementation and onboarding with a focus on time-to-value and risk management. • Use AI tools (Claude Code, agent workflows) to accelerate solution delivery and prototype customer solutions on the fly. • Aggregate common issues and customer patterns to feed back into the product roadmap — identifying tool gaps, context gaps, and reusable capabilities and enhancements. • Advocate for customers on issue resolution and feature prioritization. • Contribute to managing churn risk, driving revenue retention, and expansion opportunities. • Share wins, failures, and learnings with the team to compound everyone's AI fluency.

Position: Data Security Principal Solutions Architect III Location: Allentown, PA Duration: 12 months Job ID: 175597 Job Overview: The client is seeking a highly skilled Data Security Principal Architect to join their Cybersecurity organization. The Data Security Principal Architect will serve as a strategic leader and technical expert, responsible for defining and implementing robust data protection frameworks across the digital estate. This hybrid role bridges traditional Microsoft Information Protection and compliance tools with modern AI-centric data security practices, including encryption for LLM pipelines, secure vector stores, and legacy data remediation. The candidate will collaborate closely with Security Engineering, Data Governance, Cloud Ops, and AI/ML teams to secure data throughout its lifecycle. Responsibilities: - Define and own the data protection strategy across structured, semi-structured, and unstructured data, aligning with regulatory, legal, and business mandates (e.g., NERC, SOX, CCPA, GDPR). - Architect and deploy Azure Purview for data classification and insider risk management policies. - Lead secure implementation of AI Data Pipelines (RAG, Vector DBs), TDE for SQL workloads, and explore applicability of Fully Homomorphic Encryption (FHE) and Differential Privacy (DP) for AI/LLM pipelines. - Develop strategies for legacy data deduplication, archiving, and migration. Evaluate long-term retention risk and optimize lifecycle policies. - Implement and manage DLP rules across email, endpoints, cloud storage, and collaboration platforms (e.g., Microsoft 365, SharePoint). - Provide architectural guidance to product teams and AI/ML engineers. Author security patterns, threat models, and playbooks. - Evaluate and integrate third-party tools for data discovery, monitoring, and tokenization. Drive automation around classification and response. - Define DSPM Strategy and Architecture. - Define Data Incident Protocol and Playbook. - Perform other duties as assigned and comply with all policies and standards. Qualifications: - Required Education: Bachelor's Degree in Computer Science, Information Security, or a related field, or equivalent experience on a year-on-year basis. - Required Experience: 10+ years in information security or data architecture roles. - Preferred Qualifications: - Previous experience with utilities or highly regulated industries. - Working knowledge of structured data protection in data lakes or Azure Synapse. - Experience contributing to LLM security or responsible AI design patterns. - SANS/GIAC, CISSP, or Azure Security certification. - Experience with legacy data cleanup initiatives, e.g., tape archive migration. - Experience with DSPM platforms. - Strong understanding of cryptographic primitives and modern data security standards (AES, SHA, TLS, etc.), as well as an understanding of proposed quantum-ready cryptography standards. - Excellent communication skills and the ability to influence technical and executive stakeholders. - Demonstrated ability to assess risk tradeoffs between security, usability, and operational efficiency. - Deep interest in AI safety, responsible data stewardship, and future-proofing sensitive workloads. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: - Pay any fee to be considered for, submitted to, or selected for any opportunity. - Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. - Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $120 - $130/hr. W2 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. #LI-PS4

• The ASA collaborates to co-develop and certify joint partner solutions, and assist in opportunity development. • Set and achieve partner enablement objectives aligned with Red Hat’s strategy. • Lead technical partner co-creation activities, including workshops and pilot projects. • Coordinate Red Hat technical resources to ensure customer and partner adoption success. • Design innovative technical solutions addressing customer and partner-specific challenges. • Map business problems and technical challenges into Red Hat’s solutions and utilizing Google Cloud • Utilize Google Marketplace to support customer and partner solution transactions • Develop lasting relationships with key technical and business stakeholders at Google and Red Hat’s partners • Develop solution strategies for complex opportunities, including RFx responses or joint certifications (Ecosystem SA) • Collaborate with product engineering to align designs with roadmaps and innovations • Help to lead identification of key areas for strategic GtM efforts with the Google and Red Hat Alliance teams • Manage technical account plans for key strategic partnership aligned objectives with best practices created by GtM efforts with Google • Develop the overall technical account plan and strategy; lead an ongoing cadence with all technical associates • Participate in Google and partner events, workshops and solution scoping • Engage and lead in the process of opportunity development • Work with strategic partners of Red Hat and Google to expand our efforts for partner and customer success • Collaboration with the Red Hat Alliance teams and Partner Account Managers