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Job DescriptionValorem Reply, part of the Reply Network, is a leader in Microsoft-based IT solutions. We support and advise our Giant Tech customers in all aspects of Microsoft, and other industry-leading technologies. From designing and developing custom solutions and low-code solutions, to implementing and managing them seamlessly, Valorem Reply helps customers unlock the potential of their IT infrastructure to enable their sales and channel partner initiatives. As a Power Platform Architect, you will design and deliver innovative solutions to our Giant Tech clients. You will be responsible for architecting, developing, testing, and deploying solutions using the Microsoft Power Platform, including CoPilot Studio, Power Apps, Power Automate, Power BI, and Power Pages. These may be hybrid solutions utilizing Azure components such as storage, identities, Logic Apps, Azure functions, and Foundry. The focus for this role will be to augment our existing custom development and data projects, using Power Platform, Azure, and AI-assisted tools for rapid proof of concepts (POC’s), model driven Dataverse applications to drive workflows, building custom code components inside of Power Apps, and more.Responsibilities • Architect and develop traditional applications using the Microsoft Power Platform, leveraging its capabilities and features to meet business requirements and user needs using various app types, such as canvas, model-driven, Copilot Studio and portal apps, • Architect and develop AI / agentic solutions using Copilot Studio and Foundry and use AI tools to assist in the end-to-end project lifecycle, • Provide expertise in data storage and access using Dataverse, SQL Server, Azure Blob Storage, and Azure AI Search. Work closely with data engineers to provide data requirements for AI and traditional solutions, • Deploy and manage Power Platform applications using DevOps tools and processes and ensure compliance with security and governance policies and apply deployment strategies, such as packaging, importing, exporting, and versioning, • Integrate Power Platform applications with other Microsoft and third-party services, such as custom applications, Azure services, SharePoint, Dynamics 365, SQL Server, etc. using various connectors, such as standard, custom, and premium connectors, and apply integration patterns, such as orchestration, mediation, and transformation, • Perform unit testing, debugging, and troubleshooting of Power Platform applications, and provide technical support and maintenance, • Serve and technical lead on projects, directing other Power Platform developers while providing code reviews and feedback and ensure proper coding standards, such as naming conventions, code formatting, and code commenting while building a strong, healthy team culture, • Provide technical sales guidance, estimations, and grow opportunities by establishing deep relationships with prospective and existing clientsMinimum Requirements, • Bachelor’s degree in computer science, engineering, or related field, • 5 years of experience in developing applications using the Microsoft Power Platform and Azure, • 2 years of experience developing AI solutions, • Strong knowledge of Power Apps, Power Automate, Power BI, Power Pages, and Copilot Studio, and their capabilities including proficiency in using various data sources and connectors, such as Dataverse, SQL Server, SharePoint, Excel, etc, • Experience in integrating Power Platform applications with other Microsoft and third-party services, such as custom solutions, Azure, Dynamics 365, Office 365, etcPreferred Qualifications, • Proven track record of driving technical pre-sales for sales pursuits and project extensions, • Experience in deploying and managing Power Platform applications using DevOps tools and processes, such as Azure DevOps, GitHub, etc, • Current or prior experience with object-oriented programming languages and professional software development concepts, • Proficient with solution architectural design, testing/quality assurance, and UI/UX, • Experience in leading and mentoring other developers, and providing code reviews and feedback

Job Description SPM Capability Architect Reports To: SVP, Innovation Location: Remote Why Neocol? Neocol helps the world's most innovative subscription companies solve their most pressing initiatives to ignite outpaced subscription performance. As the largest pure-play Salesforce Summit Partner specifically dedicated to the subscription economy, Neocol has created repeatable playbooks and assets that empower transformation at the highest level. What You'll Do As a Capability Architect, your day starts getting prepared for your project(s) as the technical authority driving the architecture and delivery of enterprise-scale Revenue Management implementations. You'll collaborate closely with client stakeholders, Neocol delivery teams, and Salesforce to design solutions that seamlessly integrate CRM & Sales Performance Management systems. Whether you're whiteboarding Revenue Management solutions, guiding technical teams through complex challenges, or leading a Proof of Concept that brings a solution to life, you're the trusted expert ensuring every engagement is architecturally sound, scalable, and aligned to business outcomes. Throughout the week, you'll serve as an escalation point for technical decisions, mentor delivery teams on best practices, and ensure our implementations meet the highest standards of quality and innovation. Beyond delivery, you'll play a pivotal role in helping shape Neocol's market presence and go-to-market strategy. You'll partner with Sales and Alliances to support pursuits, build compelling demos, and influence solution design for high-value opportunities. Your technical leadership extends to contributing to reusable IP, frameworks, and accelerators that enhance our speed to value and differentiate Neocol in the Salesforce ecosystem. From presenting at webinars and Salesforce events to contributing to Neocol's thought leadership and Salesforce SPM GTM campaigns, every day offers the opportunity to blend deep technical expertise with strategic impact, advancing both client success and Neocol's growth. What You'll Bring Technical Leadership & Solution Architecture • Solution leader for enterprise-scale Sales Planning & Spiff implementations, serving as a primary solution lead and authority for our most strategic and complex engagements., • Guide solution architecture that integrates Salesforce & Sales Planning for Territory and Quota Planning and related technologies for Scoring, TAM, and other relevant Analytics out of DataWarehouse like Databricks / Snowflake., • Guide solution architecture that integrates Spiff with CRM, DataWarehouse, or ERP solutions for Integrated Incentive Compensation., • Help resolve complex technical challenges and serve as escalation point for delivery issues across client engagements., • Lead Proof of Concept (POC) initiatives (paid or as part of presales investments), including scoping, design, and delivery of high impact demonstrations that validate solution fit and alignment with customer objectives., • Serve as a Subject Matter Expert (SME) in support of sales pursuits, including demo creation, solution recommendations, proposal development, and client presentations to articulate Neocol's value and technical capabilities., • Contribute to the design and execution of comprehensive GTM strategies for Revenue Management offerings in collaboration with Sales, Alliances, and Delivery teams., • Help oversee and lead the development of targeted industry IP/accelerators including and reusable assets that differentiate Neocol in the ecosystem., • Participate in GTM working sessions and co-creating plays to drive new bookings and expand existing client relationships., • Attainment of billable utilization (65%) goals against annual target, measured on a quarterly basis, • Presales support contributing to closed/won bookings and influenced revenue, • Drive measurable market growth by shaping and executing GTM strategies that strengthen Neocol's position as a leader in the Salesforce Revenue Management space., • 5+ years of experience in Salesforce solution architecture, consulting, or previous technical leadership roles., • Proven hands-on experience designing and implementing Salesforce SPM and related technologies, • Demonstrated ability to translate business requirements into scalable, high-performing technical solutions, • Experience leading functional and technical workshops, executive-level discussions, and customer-facing deliverable review sessions, • Excellent communication, facilitation, and client management skills able to bridge strategic and technical conversations seamlessly, • Understanding of key industry verticals and their common challenges (High Tech/SaaS), • Familiarity with agile delivery methodologies, iterative solution development, and early demo-driven deployment cycles., • Experience mentoring and guiding technical delivery teams, particularly in Revenue Cloud & SPM solutions, • Experience with partner program requirements, joint GTM activities, and ecosystem collaboration. Our offerings include: • Competitive compensation and benefits, • Flexible time off that supports real work-life balance, • A monthly home office stipend, • Employer-matched 401(k), • Comprehensive medical, dental, and vision coverage, • Adoption assistance Driven by Passion. Guided by Purpose. Powered by Our People.

Job Description Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control. Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. For more information, visit . About This Opportunity We are looking for a Senior Sales Engineer - AI to join our team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey. This position is based in Chicago, Ilinois. What You Will Do • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Execute high-impact proof of value that moves beyond technical feasibility to demonstrate ROI, such as cost per token or measurable accuracy gains in production using H2O AI Enterprise Platform: Predictive, Generative, and Agentic AI, • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluations, RAG, and Agentic pipelines., • Design and build sophisticated Agentic Workflows, beyond simple RAG to multi-agent systems that can reason, use tools, and execute complex business logic autonomously., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Architect integrated solutions that leverage the full H2O stack: using Driverless AI for predictive features, h2oGPTE for unstructured data synthesis, • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure their applications are production-ready., • Work closely with Product Management to influence the product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Master the art of technical storytelling, the ability to whiteboard a complex Kubernetes deployment for an IT Director, then pivot to explaining the risk-mitigation benefits of 'Guardrails' to a Chief Risk Officer., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR yWz5L0LvLU

Job DescriptionDescription: About the RoleThis is a REMOTE role! We are looking for individuals who are comfortable working out of their home office.The Senior Windchill Solution Architect is responsible for designing, developing, and maintaining software applications, systems, and solutions. Their primary focus is on creating functional and efficient software solutions to meet specific business needs or challenges. You are proficient at coding and programming during the software development lifecycle. You will act as a liaison between them and ArcherGrey’s technical teams by translating complex technical solutions to fulfill business solutions while mitigating risks. Key Responsibilities • Lead the design, implementation, testing, and support of PTC Windchill solutions to meet client needs., • Guide and mentor development teams to achieve both functional and technical excellence., • Build and customize Windchill extensions and integrations (e.g., CAD tools, Change Objects, BOMs, Parts, Documents, Effectivity)., • Troubleshoot, debug, and maintain Windchill environments, ensuring system reliability and performance., • Plan and execute upgrades, data migrations, and integration strategies from legacy systems., • Conduct gap analyses and provide recommendations for data cleansing, preparation, and migration best practices., • Propose and architect high-level PLM solutions that enhance product development and collaboration., • Define and implement rigorous software testing procedures to ensure system quality and client satisfaction., • 5+ years’ experience with PTC Windchill and Windchill APIs, • Strong Java and JSP programming skills, • Hands-on experience with Windchill 11.1 or later versions, • Proven consulting experience designing and delivering enterprise PLM solutions, • Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent experience), • Experience with system upgrades, data migration, and integration projects, • Excellent analytical skills and ability to troubleshoot complex technical issues

Job DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Architects match our clients’ business goals with available technologies when developing a strategy for a successful data delivery implementation. We improve our clients’ business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. After gaining in-depth understanding of our client’s business challenges, our architects apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions. We view our Data Architects as thought leaders in the data space. We task them with growing CapTech talent and expanding data and analytics delivery capabilities. Specific responsibilities for the Data Architect position include: • Assessing and advocating data management technologies and practices eliminating gaps between the current state and a well-targeted future state, • Interpreting and delivering impactful strategic plans improving data integration, data quality, and data delivery in support of business initiatives and roadmaps, • Formulating and articulating architectural trade-offs across solution options before recommending an optimal solution ensuring technical requirements are met, • Leading teams of data engineers and other technical team members through design, implementation and best practices., • Providing insights to executive stakeholders and development teams to ensure data architecture recommendations maximize the value of client data across the organization, • Works to ensure the solutions recommended are providing business value and alignment with client’s strategic goals, • Communication with non-technical executives focusing on value of modern enterprise level data solutions, • Driving innovative technology solutions through thought leadership on emerging trends, • Sharing project solutions and outcomes with colleagues to improve delivery on future projects, • Leadership within the Data & Analytics practice area focused on growing and development capabilities and talent, • Partnering with CapTech business development team to demonstrate CapTech’s technical capabilities, envision a proposed solution CapTech can offer, and estimate proposed work plans. Qualifications Typical experience for successful candidates includes: • 7+ years of experience implementing with a variety of on-premises and cloud data management, integration, visualization, and analytical technologies, • Advanced proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks, • Advanced proficiency in end-to-end data architecture solutions including ingestion, storage and relational modeling leveraging industry standard languages including SQL and Python, • Ability to think strategically and relate architectural decisions and recommendations to business needs and client culture, • Ability to assess traditional and modern data architectural components based on business needs, • Experience in recommending data governance best practices including MDM, security, privacy and policies, • Experience in recommending data governance best practices including MDM, security, privacy and policies, • Providing thought leadership and internal engagement with leadership and innovation across enterprise, • Participating in providing mentorship and investing talent growth within Data & Analytics practice area, • Awareness and continued education around emerging technologies and skills in data landscape Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs. Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths • CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs., • Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths, • Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs, • Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care, • Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more, • Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations, • Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities. At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship. CapTech supports Equal Pay for all. In addition, in the State of Illinois we are committed to Equal Pay for ALL in accordance with the Illinois Equal Pay Act. The base pay range for this role is: $120,000 to $200,000. #LI-LM1

Job Description Location: Chicago, IL Our client is a distinguished global provider of legal services. This is a full-time, direct hire onsite role. We are seeking an accomplished Innovation AI/ML Data Scientist to architect and implement advanced, data-driven solutions that improve quality, efficiency, and decision-making throughout the firm's legal services and operations. In close collaboration with attorneys, innovation leaders, and cross-functional enterprise teams, you will translate complex legal and organizational challenges into secure, scalable artificial intelligence and machine learning solutions. You will oversee the entire solution lifecycle—from experimentation and performance measurement through deployment and ongoing monitoring. Responsibilities include curating and governing datasets, establishing successful criteria for accuracy and safety, and developing production-ready models and applications, including both large language model (LLM)-based and traditional machine learning approaches. Reporting to the Director of Innovation Engineering, you will play a pivotal role in advancing and expanding the firm’s data science initiatives—streamlining routine processes, producing actionable insights, and enabling new capabilities that enhance client outcomes and organizational efficacy. The firm maintains rigorous standards for performance and cultivates a growth-oriented culture. Individuals who demonstrate initiative and commitment will have opportunities for expanded responsibilities and long-term career growth within the organization. Must be a U.S. Citizen or Green Card holder authorized to work in the U.S. – sponsorship is not available Desired Qualifications and Experience: · Bachelor’s degree in computer science, statistics, mathematics, engineering, or a related quantitative discipline required; preference given to candidates with advanced degrees. · Minimum of seven years delivering AI/ML solutions within professional services, financial, legal, or technical sectors, featuring significant cross-functional collaboration among legal and business stakeholders. · Proficient in Python for data analysis, statistical modeling, and AI/ML prototyping (including pandas, PyTorch, TensorFlow); skilled in advanced SQL; experienced in constructing data pipelines and preparing both structured and unstructured datasets. · AI & LLM Application Knowledge: Practical experience with AI platforms and tools, such as OpenAI, Microsoft Azure OpenAI, Hugging Face, LangFlow, and LangChain; strong understanding of vector databases, retrieval methods for unstructured data, and knowledge graph–based applications. · Demonstrated ability to design and implement evaluation frameworks for enterprise AI solutions, including monitoring accuracy, robustness, hallucinations, bias, and fairness. · Experienced with data visualization tools including Plotly, Tableau, and Microsoft Power BI; capable of translating complex findings into actionable insights. · Familiarity with legal use cases such as due diligence, contract review, and legal research; prior experience in a law firm or Microsoft Azure environment is preferred. · Proven track record mentoring colleagues, collaborating across multidisciplinary teams, and promoting widespread adoption of AI solutions. Summary of Responsibilities: · Translate Legal Workflows into AI Solutions – Facilitate discovery sessions with attorneys and practice stakeholders to systematically map end-to-end legal processes into actionable data and LLM requirements, along with measurable success criteria and evaluation plans aligned with business objectives. · Design and Prototype Intelligent Applications – Architect and assess AI/ML solutions, including retrieval-augmented generation (RAG) pipelines, vector database integrations, and orchestration frameworks, to determine feasibility, optimize performance, and ensure scalability. · Deliver High-Impact Legal Use Cases – Develop robust solutions addressing contract analysis, due diligence review, document summarization, large-scale agreement comparisons, and other practice-driven requirements. · Establish Evaluation & Governance Frameworks – Define and implement rigorous production-ready evaluation standards, focusing on accuracy, robustness, bias and fairness, hallucination mitigation, and business-aligned performance benchmarks, with ongoing monitoring protocols. · Develop Reusable Assets & Libraries – Create comprehensive internal libraries, documentation, and standardized development practices to promote efficient and scalable delivery of AI solutions. · Collaborate Across Technical & Legal Teams – Engage closely with embedded data science teams and business stakeholders to align priorities, co-create solutions, and drive successful adoption across practice groups. · Communicate Insights with Clarity – Present evaluation results, trade-offs, risks, and projected outcomes in clear, accessible terms for non-technical stakeholders, including attorneys and business leaders. · Advance Innovation Strategy – Assess emerging technologies, open-source tools, and vendor platforms to inform technology strategy, contribute to internal thought leadership, and support firmwide AI enablement initiatives. · Mentor & Enable Growth – Guide and mentor data scientists and engineers, encourage knowledge sharing, and strengthen the organization's AI capabilities. How to Apply: Our client has hired us to help facilitate the initial interview and recruiting process. Please attach your current version of your resume and make sure you complete our initial pre-screening questions that will be used for determining which applicants will be considered at this time. Thank you for your interest. Company DescriptionWe Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!We Place People is a premiere Executive Search Firm working with leading companies nationwide. We have a direct relationship with our clients and a 95% hire rate! We differentiate ourselves from other firms & work closely with our candidates throughout the interview process. WE PLACE PEOPLE is what we do best!

Job Description Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We are seeking a highly experienced Techno-Functional Consultant who will lead Pricing Operations while driving the technology direction and architecture strategy across Google Cloud, Data Science Modeling, Agentic AI, Software Engineering, and Solution Architecture. This is a hybrid role requiring strong business acumen in pricing and commercial operations, combined with deep technical expertise to design scalable, AI-driven, cloud-native solutions that enable intelligent pricing, automation, and data-driven decision-making. The ideal candidate bridges business and engineering teams, ensuring pricing strategy is operationally efficient, analytically robust, and technologically advanced. RESPONSIBILITIES: 1. Pricing Operations Leadership • Own and optimize end-to-end pricing operations, governance, and execution., • Design and implement scalable pricing frameworks (dynamic pricing etc.)., • Collaborate with Market Teams and other Pricing Strategic Advisors to operationalize pricing strategy., • Build and streamline workflows across the engine offerings for margin optimization and pricing intelligence., • Ensure pricing compliance, data integrity, and audit readiness. 2. Technology Strategy & Architecture • Define and drive technology roadmap aligned with pricing and business strategy., • Architect scalable, secure solutions on AWS /GCP., • Lead solution architecture reviews and ensure adherence to best practices., • Evaluate emerging technologies (Agentic AI, LLMs, automation frameworks) for business adoption., • Guide build vs. buy decisions and vendor evaluations. 3. Data Science & AI Enablement • Design and oversee pricing models using statistical modeling and machine learning., • Implement predictive and prescriptive analytics for pricing optimization., • Lead development of AI-powered tools (e.g., store segmentation, price elasticity modeling, margin and revenue constrained optimization)., • Drive adoption of Agentic AI systems for autonomous decision support, pricing simulations, and workflow automation., • Collaborate with data engineering teams on data pipelines, feature stores, model deployment and monitoring 4. Solution Engineering & Delivery • Oversee full SDLC: architecture, design, development, testing, and deployment., • Establish best practices in code quality, CI/CD, DevOps, and cloud-native development., • Lead cross-functional engineering teams and external partners., • Ensure high availability, scalability, and performance of pricing platforms., • Implement APIs and microservices architecture to integrate pricing systems with ERP/CRM platforms. 5. Stakeholder & Functional Leadership • Act as the bridge between business stakeholders and technical teams., • Liaison and drive technology architecture and strategy working with senior technical client team, • Translate complex business pricing requirements into technical designs., • Present technology and pricing insights to leadership., • Mentor junior consultants and analysts., • 8–12 years of experience in techno-functional consulting, solution architecture, or enterprise technology roles., • Proven experience in setting up, managing, or transforming pricing operations in B2B or large enterprise environments., • Hands-on expertise with AWS (S3, EMR, RDS, Airflow) and GCP (BigQuery, Cloud Run, Vertex AI, Dataflow)., • Experience in data science, machine learning lifecycle, and model deployment., • Familiarity with Generative / Agentic AI frameworks, LLM orchestration, or AI automation tools., • Strong programming and engineering fundamentals in Python, SQL, APIs, and microservices., • Experience designing enterprise-level architectures, system integrations, and technology migrations., • Good understanding of pricing strategies such as dynamic pricing, promotions, and conjoint analysis, along with retail pricing and revenue management concepts like margin analysis, revenue optimization, and cost modeling., • Strong analytical thinking, problem-solving ability, and stakeholder communication skills., • Background in SaaS or cloud product companies., • AWS/GCP or Solution Architecture/Data Engineering certifications., • Experience implementing AI-driven decision systems in enterprise environments., • Strategic thinking with strong execution focus, • Balance of technical depth and business understanding, • Leadership and influencing skills, • Innovation mindset and data-driven decision making Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionSoftware Engineer Opportunity Our client is on crypto’s cutting-edge technology, and we’re looking for the right engineers to join them. This is a remote position for any US-based candidate. Our client's Blockchain Distribution Network (BDN) allows DeFi (Decentralized Finance) traders to make better trades by being better connected. The key difference is that in the decentralized world of DeFi, you need to be connected to everyone. Coinbase is one of their investors. They created the first and only high performance blockchain distribution network (BDN) with the best solution for Ethereum, BSC, and Polygon. The BDN and DeFi trading tools allow its users to win at crypto trading. The BDN utilizes a global network of servers optimized for network performance. Nodes access this network through open-source gateways and users can access it through the public API. As a Software Engineer, you will be a core member of the team responsible for supporting the development of the Solana platform. In this position, you will be expected to have a deep technical understanding of blockchain technologies. You will have the ability to work closely with a team of engineers to help with enhancing our products and services. Responsibilities: Optimize the performance of the BDN (Blockchain Distribution Network) by enhancing speed through innovations aligned with the blockchain protocol, network infrastructure, and consensus model Architect, develop, and maintain the Solana blockchain platform using Solana native Innovate and design solutions that capitalize on the swift data flow within the blockchain distribution network, ensuring the creation of compelling offerings Demonstrate proficiency in reading and maintaining the core code of Solana, contributing to a deeper understanding and effective utilization of the Solana blockchain ecosystem Engineer Geyser plugins to enhance functionality and broaden the capabilities of the overall system, contributing to the evolution of the blockchain technology landscape Stay up to date with the latest developments in blockchain technology Requirements: 5+ years in blockchain with 2+ years focused on Solana (Raydium, JITO, AMMs) ETH/Polygon/BSC protocols, and MEV knowledge 5+ years experience in designing, testing, and implementing scalable backend systems Multiple Solana programs written in Solana native programming Proficient in Rust or Golang languages or both Skilled in reading and modifying blockchain core code (geth, bor, prysm) Creative, independent, and collaborative team player with the ability to work in a fast paced environment Benefits: Competitive salaries, stock options, healthcare benefits, 401k plan with an employer match, flexible PTO, and remote work. We built a highly skilled team of business and engineering minds who are working on innovative, challenging and complex projects.If you think you fit the role please apply to join the blockchain journey.

Job DescriptionWe’re Tovala, a food-tech company reinventing home cooking to save consumers time. Through an innovative combination of hardware, software, and fresh food delivery, we make it incredibly simple for anyone to prepare and enjoy delicious, home-cooked meals without sacrificing time to do whatever matters to them. Through our superior technology, product experience and food quality, we have separated Tovala from the busy pack of other meal delivery businesses. In the process, we’ve amassed a loyal, rapidly growing following and our retention, product engagement and customer NPS are all best-in-class. We’ve raised over $100mm from great investors like Left Lane Capital, Origin Ventures, Y Combinator and Comcast Ventures and have invested strongly in building a unique culture that fosters growth, personal development and camaraderie. We’re looking for a Senior Software Engineer to join our engineering team and help us build the systems that power Tovala’s digital experience and internal applications. This isn’t a role defined by a single language or framework. We care far more about your ability to architect strong backend systems, solve real problems, and ship products that matter to customers, both internal and external, than whether your background is in Go, Python, TypeScript, or something else entirely. The way software gets built is changing fast. AI tools are already reshaping how our team works, and we want engineers who are not just comfortable with that shift but are actively leading it. You should have strong opinions on how to use AI-assisted development workflows to move faster without sacrificing quality. You’ll be expected to work across our stack, including backend services, infrastructure, and frontend when the problem calls for it, and to collaborate closely with product, design, and other engineering teams to deliver outcomes, not just code.What You'll Do: • Design, build, and maintain backend systems and services that support Tovala’s software products across web and mobile. Our current backend stack is Go and AWS, but we value your ability to learn and adapt over specific language experience., • Own problems end-to-end. You’ll scope work, make technical decisions, implement solutions, and see them through to production. You won’t wait to be handed a spec., • Use AI-assisted development tools and workflows as a core part of how you work. We expect you to have real experience here, whether that’s with tools like Cursor, Copilot, Claude Code, or similar, and to help shape how the broader team adopts these practices., • Work across the stack when the situation calls for it. While your depth is in backend engineering, you’re comfortable contributing to frontend work and aren’t boxed in by a single domain., • Collaborate directly with stakeholders and other engineers to understand customer problems, define solutions, and make smart trade-offs between speed and quality., • Contribute to architectural decisions and help evolve our technical approach as the team and product grow., • Review code thoughtfully, both human-written and AI-generated, with an eye toward system-level coherence, maintainability, and performance., • Mentor and support other engineers. Share what you know, raise the bar on engineering practices, and help create an environment where people do their best work.What You'll Bring:Required, • 5+ years of professional software engineering experience, with meaningful depth in backend development (APIs, data pipelines, distributed systems, cloud infrastructure)., • Strong fundamentals in systems design and architecture. You can make sound decisions about how services communicate, how data flows, and where complexity should live., • Demonstrated experience with AI-assisted software development. You’ve integrated AI tools into your daily workflow and can speak concretely about how they’ve changed the way you build software., • Ability to work across the stack. You have backend depth but can pick up frontend work (React, TypeScript, or equivalent) and contribute meaningfully when needed., • Excellent communication skills. You can explain technical decisions clearly to both engineers and non-technical partners, write well, and navigate cross-functional collaboration with ease., • Strong problem-solving instincts. You’re the kind of engineer who digs into the root cause, thinks about second-order effects, and finds pragmatic solutions., • A track record of owning and shipping projects with meaningful business impact, ideally in a fast-paced environment where priorities shift. Nice to Have, • Experience with Go and/or AWS (our current primary backend stack)., • Familiarity with infrastructure-as-code tools (Terraform, CloudFormation) and CI/CD pipelines., • Experience helping define or evolve AI development practices for a team or organization., • Experience building or integrating AI/ML features into production products (RAG systems, LLM integrations, chatbots)., • Background working in a consumer product or food-tech company.Who You Are:, • Solution-Minded: You focus on outcomes, not output. You want to understand the customer problem before you start writing code, and you’re not precious about your approach if a better one emerges., • AI-Forward: You see AI tools as a fundamental shift in how software gets built, not a novelty. You’re already using them daily and have thoughts on how teams should work with them effectively., • Cross-Functional Collaborator: You thrive working alongside product, design, and other teams. You communicate clearly, give and receive feedback well, and care about the end-to-end experience, not just the technical layer., • Startup Mindset: You’re comfortable in an environment where priorities evolve, where you’ll wear multiple hats, and where your work has direct, visible impact on the business.

HYBRID CONTROLLER OPPORTUNITY!!.This Jobot Job is hosted by: Caitlin Pohl.Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.Salary: $125,000 - $140,000 per year.This is an opportunity to make a tangible impact in a mission-driven healthcare organizatio

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