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Shape the Future of Data & AI — Architect Solutions That Scale This Jobot Job is hosted by: Robert Donohue Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $140,000 - $170,000 per year A bit about us: We’re a global leader in data and AI/ML services and one of the fastest-growing companies in the modern data stack space. We partner with top cloud platforms like Snowflake, AWS, Azure, GCP, Databricks, Fivetran, Pinecone, Glean, and dbt to deliver innovative data, cloud, and machine learning solutions that help enterprises unlock the true power of their data. With a decade of 40%+ year-over-year growth, we’ve become a 6x Snowflake Partner of the Year (2020–2025) and earned accolades as an award-winning workplace in the US, LATAM, and India. We’re a remote-first organization with a collaborative, casual culture that prizes autonomy, creativity, and curiosity. You’ll work alongside some of the brightest minds in data engineering and AI/ML — all driven by a shared passion to solve the toughest data challenges for leading global enterprises. Why join us? Competitive Compensation: $140,000 – $190,000+ base salary (depending on experience) Remote-First: Work from anywhere in the US with occasional customer-site travel nationwide Massive Growth: Be part of a company growing 40% YOY, creating career advancement opportunities Cutting-Edge Tech: Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more Award-Winning Culture: Collaborative, inclusive, and committed to professional development Learning & Development: Accelerated training, advanced certifications, and exposure to AI/ML innovation Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks Job Details We’re seeking a Solutions Architect who thrives at the intersection of data engineering solutions. This is a customer-facing, technical leadership role where you’ll design, build, and deliver scalable cloud and data architectures for enterprise clients. What You’ll Do: Design and implement end-to-end data solutions that are secure, performant, and scalable Collaborate with enterprise customers to understand their challenges and translate business needs into technical roadmaps Lead architecture discussions, conduct POCs, create roadmaps, diagrams, and solution documentation Work hands-on with modern data stack tools like Snowflake, Databricks, AWS, Azure, GCP, and streaming/integration tech (Kafka, Fivetran, dbt, Airflow) Support product adoption and services expansion by building trust with customer teams and executives Guide and mentor engineers, helping elevate their technical expertise Deliver presentations and demos that clearly communicate solutions to both technical and non-technical audiences What You Bring: 8+ years as a Solutions Architect/Data Engineer designing and implementing production-grade solutions 5+ years customer-facing experience with enterprise clients Strong proficiency in Python, Java, or Scala and advanced SQL skills Hands-on experience with Snowflake, Databricks, Redshift, or EMR and distributed/cloud data platforms (AWS, Azure, GCP) Familiarity with streaming tools (Kafka, Spark), orchestration (Airflow), and data integration technologies (Fivetran, Matillion, ADF) Excellent communication skills for collaborating with clients and presenting solutions Bachelor’s degree in Computer Science or related field (or equivalent experience) Interested in hearing more? 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Role Overview Build the Future of Safe and Responsible AI Are you an experienced AI engineer advancing the frontiers of AI safety, LLM jailbreak detection and defense, and agentic AI, with publications and production deployments to show for it? Join us to translate pioneering research into robust, scalable security systems and trustworthy LLM platforms that resist adversarial and behavioral exploits at enterprise scale. The Mission We're tackling cutting-edge AI safety across adversarial robustness, jailbreak defense, agentic workflows, and human-in-the-loop risk modeling. As an AI Engineer, you'll own high-impact projects from research conception through production deployment, directly contributing to our platform's security guarantees while building scalable, maintainable infrastructure. What You'll Do • Advance AI Safety: Design, implement, and evaluate attack and defense strategies for LLM jailbreaks (prompt injection, obfuscation, narrative red teaming) and deploy them as production-grade services., • Build Scalable Safety Infrastructure: Architect and deploy distributed safety evaluation pipelines handling millions of requests, with real-time monitoring, alerting, and incident response capabilities., • Large-Scale Data Engineering: Design ETL pipelines for processing terabytes of safety-related data (attack patterns, behavioral logs, model outputs); build data lakes and feature stores for safety ML systems., • Evaluate AI Behavior: Analyze and simulate human-AI interaction patterns at scale to uncover behavioral vulnerabilities, social engineering risks, and over-defensive vs. permissive response tradeoffs., • Agentic AI Security: Build production workflows for multi-agent safety (agent self-checks, regulatory compliance, defense chains) spanning perception, reasoning, and action., • MLOps & Model Deployment: Deploy safety models to production using containerized microservices, implement CI/CD pipelines for model updates, and manage model versioning and A/B testing infrastructure., • Benchmark & Harden LLMs: Create reproducible, automated evaluation protocols for safety, over-defensiveness, and adversarial resilience across diverse models with continuous integration. Example Problems You Might Tackle • Production Red-Teaming Platform: Build and operate an automated red-teaming infrastructure that continuously probes advanced LLMs (GPT-4o, GPT-5, LLaMA, Mistral, Gemma) at scale, with dashboards and alerting., • Real-Time Defense Systems: Implement context-aware, multi-turn attack detection and guardrail mechanisms as low-latency services handling 10K+ requests per second., • Agent Self-Regulation at Scale: Develop agentic architectures for autonomous self-check and self-correct with distributed orchestration and fault tolerance., • Safety Data Platform: Design and build data infrastructure for collecting, storing, and analyzing petabyte-scale safety telemetry with streaming analytics. Minimum Qualifications • Master's degree in CS/EE/ML/Security or related field (Ph.D. preferred), • 2+ years of industry experience in applied ML/AI research or ML engineering, • Track record of publications in AI Safety, NLP robustness, or adversarial ML (ACL, NeurIPS, ICML, EMNLP, IEEE S&P, etc.) or equivalent applied research impact, • Strong Python and PyTorch/JAX skills with experience deploying ML models to production, • Demonstrated experience in at least one of: LLM jailbreak attacks/defense, agentic AI safety, adversarial ML, or human-AI interaction vulnerabilities, • Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure), • Proven ability to take research from concept to code to production deployment with rigorous testing and monitoring Preferred Qualifications • Experience in adversarial prompt engineering, jailbreak detection (narrative, obfuscated, sequential attacks), • Prior work on multi-agent architectures or robust defense strategies for LLMs in production environments, • Experience with large-scale data processing frameworks (Spark, Flink, Kafka) and data warehousing, • MLOps expertise: model serving (Triton, TensorRT, vLLM), experiment tracking (W&B, MLflow), and CI/CD for ML, • Infrastructure as Code experience (Terraform, Pulumi) and DevOps best practices, • Experience with distributed computing frameworks (Ray, Dask) for scalable training and evaluation, • Familiarity with observability stacks (Prometheus, Grafana, DataDog) and incident management, • First-author publications, strong GitHub profile, or significant open-source contributions Our Stack • Modeling: PyTorch/JAX, Hugging Face, vLLM, Mistral, LLaMA, OpenAI APIs, • Safety: Red-teaming frameworks, LLM benchmarking (SODE, ART, HarmBench), human behavior simulation, • Infrastructure: Kubernetes, Docker, Terraform, AWS/GCP, Ray, Spark, • MLOps: Triton Inference Server, Weights & Biases, MLflow, Airflow, ArgoCD, • Data: PostgreSQL, Redis, Kafka, Snowflake/BigQuery, dbt, • Observability: Prometheus, Grafana, DataDog, PagerDuty What Success Looks Like • Production systems that measurably improve safety KPIs: adversarial robustness, over-defensiveness rates, and incident response latency, • Publishable research outcomes (with company approval) demonstrating novel contributions to AI safety, • Well-documented, tested, and maintainable code with comprehensive CI/CD and monitoring, • Infrastructure that scales reliably and enables the broader team to iterate quickly on safety research Why Centific • Real Impact: Your research ships directly, securing our core features and AI infrastructure at scale, • Research to Production: Bridge the gap between cutting-edge research and production systems, • Mentorship: Collaborate with Principal Architects and senior researchers in AI safety and adversarial ML, • Velocity + Rigor: Balance high-quality research with mission-critical product focus Location: Palo Alto, CA or Seattle, WA (Remote) Employment Type: Full-Time Benefits: • Comprehensive healthcare, dental, and vision coverage, • 401k plan, • Paid time off (PTO) Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. Learn more about us at centific.com. Centific is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

About mpathic.ai We are a Series A startup backed by Tier 1 investors including Foundry.vc and Next Frontier Capital. Position Overview Your mission is to become the technical backbone of our go-to-market motion, partnering directly with Sales to win complex enterprise deals and translating customer needs into scalable, production-ready solutions. As our first Solutions Architect, you will operate as a true founding member of the GTM team. You will work side-by-side with our Head of Sales/AEs to drive technical discovery, shape solutions, and de-risk deals across AI safety, evaluation, safety monitoring and human-data workflows. This is a highly customer-facing, pre-sales role. You will engage deeply with ML platform teams, safety/alignment leaders, and data organizations, helping them understand how mpathic integrates into their systems via APIs, human services, and our platform. You will also define how Solutions Architecture works at mpathic: building the playbooks, demos, assets, and patterns that enable us to scale. This is a U.S.-based remote position. Candidates must reside in the United States. Applicants must be currently authorized to work in the United States on a full-time basis. This position is not eligible for visa sponsorship. Key Responsibilities Pre-Sales Technical Leadership • Partner directly with the Head of Sales on technical discovery, deal strategy, and solution design across Enterprise and Commercial opportunities., • Lead technical conversations with ML/AI platform teams, safety/alignment teams, and data leaders., • Own technical validation processes including architecture design, POCs, pilots, and security/technical evaluations., • Translate ambiguous customer requirements into clear, executable solution architectures. Solution Design & Architecture • Design end-to-end solutions that integrate mpathic’s platform, APIs, and services into customer AI/ML workflows., • Advise customers on how to implement evaluation pipelines, human feedback loops, red teaming workflows, and annotation systems., • Architect integrations across APIs, data pipelines, and customer infrastructure., • Create reference architectures and reusable patterns for common customer use cases. Hands-On Deal Support • Build lightweight prototypes, scripts, or integrations to unblock deals when needed (e.g., API integrations, dashboard definitions, data flows)., • Customize demos and technical materials to reflect real customer environments and use cases., • Support technical objections, security reviews, and procurement processes with confidence. 0→1 Function Building • Define the Solutions Architect role at mpathic, including engagement model, tooling, and success metrics., • Develop repeatable playbooks for discovery, technical validation, and solution design., • Create scalable assets such as demo environments, architecture diagrams, and integration templates., • Partner with Sales, Product, and Engineering to ensure tight alignment across the customer lifecycle. Market Insight & Cross-Functional Impact • Act as the voice of the customer to Product and Engineering, shaping roadmap and prioritization., • Maintain deep knowledge of the AI ecosystem, particularly AI safety, evaluation, RLHF, and human-in-the-loop workflows., • Help refine positioning and messaging based on real customer interactions., • Represent mpathic.ai in technical discussions with customers and at industry events. Qualifications Candidates must reside in the United States and be currently authorized to work in the United States on a full-time basis. Required Experience • 7+ years of experience in Solutions Architecture, Sales Engineering, or similar customer-facing technical roles., • Experience as a first or early Solutions Architect at a startup, with a track record of building from zero-to-one., • Strong experience supporting enterprise SaaS sales, particularly API-first or platform products., • Proven success working with ML/AI platform teams, data organizations, or developer-focused buyers., • Experience driving complex, technical, multi-stakeholder sales cycles., • Familiarity with AI safety, evaluation, RLHF, red teaming, or human-in-the-loop data workflows. Technical Skills • Strong understanding of APIs, system integrations, and modern SaaS architectures., • Comfort working with data pipelines, analytics layers (e.g., tools like cube.dev), and ML/AI workflows., • Ability to build lightweight prototypes, integrations, or technical assets to support deals., • Familiarity with cloud environments and deploying or integrating technical solutions. Skills & Attributes • Customer-facing technical leader who enjoys being in the deal and influencing outcomes., • Strong translator between technical teams and business stakeholders., • Comfort operating in ambiguity and building structure from scratch., • High ownership mindset with a bias toward action., • Deep curiosity about AI safety, alignment, and high-quality human data systems. Success Metrics • Improved win rates and deal velocity through strong technical partnership with Sales., • Successful technical validation of enterprise opportunities (POCs, pilots, integrations)., • High-quality solution designs that lead to successful customer adoption and expansion., • Repeatable technical playbooks for pre-sales and solution architecture., • Strong trust and credibility with customer technical stakeholders. Why Join mpathic.ai? • Shape the future of AI safety and human-centered model alignment., • Work directly with leading AI builders, enterprise innovators, and safety teams., • Define and build the Solutions Architecture function from the ground up., • Join a mission-driven team focused on enabling safer, more emotionally intelligent AI systems. Compensation and Benefits • Competitive base salary with uncapped earnings potential, • Equity, • Company-funded health, dental, and vision insurance, • 401k with 4% company match, • Well-being programs, • Flexible paid time off, • Mission-driven work solving AI Safety challenges IMPORTANT – How to Apply We can only accept and review applications via our direct official recruiting portal: , due to the abundance of 3rd party apps and automated agents. Only applications submitted directly by the applicant through our portal will be considered.

AI Developer | De Novo Innovation Incubator Davis Wright Tremaine LLP - Building legal solutions at the intersections of clients, law, and operationsDavis Wright Tremaine LLP is looking for an AI Developer to join our DeNovo Innovation Incubator team. As an AI Solutions Developer, you will design and build intelligent applications that combine generative AI, data, and legal process expertise. Working inside De Novo, you'll collaborate with partners, practice-group leaders, and data engineers to turn bold ideas into real products-tools that make legal work faster, smarter, and more client-centric. This is a hands-on engineering role for someone who thrives in the creative tension between innovation and delivery-someone who can move from concept to code, from prototype to production. We offer a remote or hybrid work arrangement based on your preference and ability to perform effectively. While this position allows full flexibility to work remotely, we require that you live within a reasonable commuting distance of one of our offices.At Davis Wright Tremaine, you will find challenging assignments, opportunities for professional growth and community involvement, and a culture of inclusion. DWT fosters inclusiveness and authenticity. Regardless of position, everyone here has a voice and the support is unparalleled.On a typical day you will: • Architect, build, and deployLLM-powered applications(Azure OpenAI, AWS Bedrock, LangChain, etc.) that integrate with firm systems., • Implement retrieval-augmented generation (RAG)pipelines, prompt-management frameworks, and secure APIs., • Collaborate with practice-group leaders to design solutions that enhance matter intake, document automation, and client collaboration., • Translate legal and operational workflows into elegant, maintainable code., • Partner with IT and data teams to ensure scalability, governance, and security., • 3+ years in software development with strong experience in Python, TypeScript/Node.js, or C#., • Practical knowledge of Azure AI, OpenAI API, Bedrock, or Claude; experience with vector databases (Pinecone, FAISS, Azure AI Search)., • Familiarity with RAG architectures, prompt engineering, and model evaluation., • Proven ability to integrate AI with enterprise systems (e.g., M365, NetDocuments, 3E)., • Comfort working in rapid-prototype environments that iterate weekly., • Mission:Build legal technology where clients, law, and operations converge., • Culture:A proven launchpad for innovators-our developers have grown into entrepreneurs, leaders, and award winners., • Access:Work side-by-side with firm leadership and the CIO to shape the firm's AI strategy. DWT offers competitive compensation in addition to ample benefits including but not limited to: • Choice of health and vision insurance plans, • 2 paid volunteer days for qualifying community service work, • Dental plan, • Fertility and adoption benefit, • Paid sabbatical after 13 years of service, • Tuition reimbursement, • Commuter benefits, • Retirement contributionThis job description intends to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to include all duties and responsibilities. Washington StateThe annualized salary range for this position in Washington is $184,000 to $209,000. Actual pay will be adjusted based on the candidate's education, training, experience and other job-related factors permitted by law. Full time employees may be eligible for a bonus, health insurance with an optional HSA, long term disability, dental insurance, vision care, telemedicine and virtual short term solution based counseling services, life insurance, Healthcare and Dependent Care Flexible Spending Accounts, subsidized backup care and caregiving resources, 401(k), vacation, sick time, 11 paid holidays each year and an employee assistance program. For full-time employees, the initial vacation benefit is 15 days per year and 11 days of sick leave per year, accrued bi-weekly. Additional voluntary programs include: voluntary accident insurance, voluntary life, voluntary disability, voluntary long term care, and pet insurance. Commuter and Transit programs are also available.CaliforniaThe annualized salary range for this position in Los Angeles is $184,000 to $209,000; and in San Francisco is $203,000 to $230,000. Actual pay will be adjusted based on experience and other job-related factors permitted by law. Full time employees may be eligible for a bonus, health insurance with an optional HSA, long term disability, dental insurance, vision care, telemedicine and virtual short term solution based counseling services, life insurance, Healthcare and Dependent Care Flexible Spending Accounts, subsidized backup care and caregiving resources, 401(k), vacation, sick time, and an employee assistance program. Additional voluntary programs include: voluntary accident insurance, voluntary life, voluntary disability, voluntary long term care, and pet insurance. Commuter and Transit programs are also available.New YorkThe annualized salary range for this position in New York City is $222,000 to $239,000. Actual pay will be adjusted based on experience and other job-related factors permitted by law. Full time employees may be eligible for a bonus, health insurance with an optional HSA, short term disability, long term disability, dental insurance, vision care, telemedicine and virtual short term solution based counseling services, life insurance, Healthcare and Dependent Care Flexible Spending Accounts, subsidized backup care and caregiving resources, 401(k), vacation, sick time, and an employee assistance program. Additional voluntary programs include: voluntary accident insurance, voluntary life, voluntary disability, voluntary long term care, and pet insurance. Commuter and Transit programs are also available.District of ColumbiaThe annualized salary range for this position in Washington D.C. is $184,000 to $208,000. Actual pay will be adjusted based on experience and other job-related factors permitted by law. Full time employees may be eligible for a bonus, health insurance with an optional HSA, short term disability, long term disability, dental insurance, vision care, telemedicine and virtual short term solution based counseling services, life insurance, Healthcare and Dependent Care Flexible Spending Accounts, subsidized backup care and caregiving resources, 401(k), vacation, sick time, and an employee assistance program. Additional voluntary programs include: voluntary accident insurance, voluntary life, voluntary disability, voluntary long term care, and pet insurance. Commuter and Transit programs are also available.Davis Wright Tremaine LLP fosters a culture where all talented individuals-including those who are traditionally underrepresented in the legal profession-can have, and can see, paths to success.Our commitment to diversity, equity, and inclusion sits on four pillars: Community, Growth, Education, and Engagement.Learn more about the firm's commitment to DEI here:___. Davis Wright Tremaine provides reasonable accommodations for those who need them to complete the application or recruiting process and for employees who need reasonable accommodations to perform the essential functions of their positions due to a disability or for religious reasons. If you need to request accommodation during the application or recruiting process, please email ___. #LI-CH1

Role Overview Build the Future of Safe and Responsible AI Are you an experienced AI engineer advancing the frontiers of AI safety, LLM jailbreak detection and defense, and agentic AI, with publications and production deployments to show for it? Join us to translate pioneering research into robust, scalable security systems and trustworthy LLM platforms that resist adversarial and behavioral exploits at enterprise scale. The Mission We're tackling cutting-edge AI safety across adversarial robustness, jailbreak defense, agentic workflows, and human-in-the-loop risk modeling. As an AI Engineer, you'll own high-impact projects from research conception through production deployment, directly contributing to our platform's security guarantees while building scalable, maintainable infrastructure. What You'll Do • Advance AI Safety: Design, implement, and evaluate attack and defense strategies for LLM jailbreaks (prompt injection, obfuscation, narrative red teaming) and deploy them as production-grade services., • Build Scalable Safety Infrastructure: Architect and deploy distributed safety evaluation pipelines handling millions of requests, with real-time monitoring, alerting, and incident response capabilities., • Large-Scale Data Engineering: Design ETL pipelines for processing terabytes of safety-related data (attack patterns, behavioral logs, model outputs); build data lakes and feature stores for safety ML systems., • Evaluate AI Behavior: Analyze and simulate human-AI interaction patterns at scale to uncover behavioral vulnerabilities, social engineering risks, and over-defensive vs. permissive response tradeoffs., • Agentic AI Security: Build production workflows for multi-agent safety (agent self-checks, regulatory compliance, defense chains) spanning perception, reasoning, and action., • MLOps & Model Deployment: Deploy safety models to production using containerized microservices, implement CI/CD pipelines for model updates, and manage model versioning and A/B testing infrastructure., • Benchmark & Harden LLMs: Create reproducible, automated evaluation protocols for safety, over-defensiveness, and adversarial resilience across diverse models with continuous integration. Example Problems You Might Tackle • Production Red-Teaming Platform: Build and operate an automated red-teaming infrastructure that continuously probes advanced LLMs (GPT-4o, GPT-5, LLaMA, Mistral, Gemma) at scale, with dashboards and alerting., • Real-Time Defense Systems: Implement context-aware, multi-turn attack detection and guardrail mechanisms as low-latency services handling 10K+ requests per second., • Agent Self-Regulation at Scale: Develop agentic architectures for autonomous self-check and self-correct with distributed orchestration and fault tolerance., • Safety Data Platform: Design and build data infrastructure for collecting, storing, and analyzing petabyte-scale safety telemetry with streaming analytics. Minimum Qualifications • Master's degree in CS/EE/ML/Security or related field (Ph.D. preferred), • 2+ years of industry experience in applied ML/AI research or ML engineering, • Track record of publications in AI Safety, NLP robustness, or adversarial ML (ACL, NeurIPS, ICML, EMNLP, IEEE S&P, etc.) or equivalent applied research impact, • Strong Python and PyTorch/JAX skills with experience deploying ML models to production, • Demonstrated experience in at least one of: LLM jailbreak attacks/defense, agentic AI safety, adversarial ML, or human-AI interaction vulnerabilities, • Experience with containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure), • Proven ability to take research from concept to code to production deployment with rigorous testing and monitoring Preferred Qualifications • Experience in adversarial prompt engineering, jailbreak detection (narrative, obfuscated, sequential attacks), • Prior work on multi-agent architectures or robust defense strategies for LLMs in production environments, • Experience with large-scale data processing frameworks (Spark, Flink, Kafka) and data warehousing, • MLOps expertise: model serving (Triton, TensorRT, vLLM), experiment tracking (W&B, MLflow), and CI/CD for ML, • Infrastructure as Code experience (Terraform, Pulumi) and DevOps best practices, • Experience with distributed computing frameworks (Ray, Dask) for scalable training and evaluation, • Familiarity with observability stacks (Prometheus, Grafana, DataDog) and incident management, • First-author publications, strong GitHub profile, or significant open-source contributions Our Stack • Modeling: PyTorch/JAX, Hugging Face, vLLM, Mistral, LLaMA, OpenAI APIs, • Safety: Red-teaming frameworks, LLM benchmarking (SODE, ART, HarmBench), human behavior simulation, • Infrastructure: Kubernetes, Docker, Terraform, AWS/GCP, Ray, Spark, • MLOps: Triton Inference Server, Weights & Biases, MLflow, Airflow, ArgoCD, • Data: PostgreSQL, Redis, Kafka, Snowflake/BigQuery, dbt, • Observability: Prometheus, Grafana, DataDog, PagerDuty What Success Looks Like • Production systems that measurably improve safety KPIs: adversarial robustness, over-defensiveness rates, and incident response latency, • Publishable research outcomes (with company approval) demonstrating novel contributions to AI safety, • Well-documented, tested, and maintainable code with comprehensive CI/CD and monitoring, • Infrastructure that scales reliably and enables the broader team to iterate quickly on safety research Why Centific • Real Impact: Your research ships directly, securing our core features and AI infrastructure at scale, • Research to Production: Bridge the gap between cutting-edge research and production systems, • Mentorship: Collaborate with Principal Architects and senior researchers in AI safety and adversarial ML, • Velocity + Rigor: Balance high-quality research with mission-critical product focus Location: Palo Alto, CA or Seattle, WA (Remote) Employment Type: Full-Time Benefits: • Comprehensive healthcare, dental, and vision coverage, • 401k plan, • Paid time off (PTO) Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. Learn more about us at centific.com. Centific is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Job DescriptionOverview The Principal Architect leads HPC AI focused Professional Services delivery engagements and cross functional technical teams on customer programs or projects. They are responsible for technical communications with Engineers, Architects, and the customer for AI-driven projects. The Principal Architect may participate in several Customer projects concurrently, integrating AI solutions with enterprise IT systems. Role Summary The Principal Architect will be at the epicenter of the AI revolution, working with the most advanced hardware on the planet. Whether you're helping a research facility unlock new scientific breakthroughs or an enterprise to build its first private AI cloud, your fingerprints will be on the infrastructure that defines the next decade of technology. The right person for the job is a senior individual contributor responsible for designing, implementing, and optimizing large-scale High-Performance Computing and AI platforms centered on the NVIDIA data center ecosystem. This role operates in a hybrid capacity, combining hands-on technical architecture with selective customer-facing advisory responsibilities. The architect serves as a technical authority across GPU-accelerated compute, high-performance networking, and modern parallel storage platforms, influencing architectural standards and delivery outcomes while ensuring successful, on-time, and on-budget customer deployments without escalations. This is a remote work from home position, with an average travel expectation of approximately 10%, and a willingness for additional travel during peak project phases or critical customer engagements. Key Responsibilities Architecture and Design • Lead the end-to-end architecture of GPU-accelerated HPC and AI platforms, including greenfield AI factory designs and optimization of existing HPC environments., • Architect integrated solutions spanning Compute, Networking, and Storage using NVIDIA HGX and DGX platforms, Grace CPU architectures, Spectrum-X networking, and high-performance parallel storage systems., • Design storage architectures optimized for AI training, inference, and HPC workloads, balancing performance, scalability, resiliency, and cost., • Provide hands-on technical leadership during implementation phases, including cluster bring-up, performance tuning, and workload optimization., • Architect and integrate workload orchestration and scheduling platforms using NVIDIA Base Command Manager, Slurm, Kubernetes and Run:AI., • Optimize end-to-end data pipelines, including GPU utilization, storage throughput, metadata performance, and job scheduling efficiency., • Design and validate high-performance storage solutions using modern parallel and scale-out storage platforms., • Demonstrate hands-on experience with at least one of the following storage technologies, • VAST Data, • WEKA, • DDN, • Lustre, • NetApp, • Architect storage solutions that support demanding AI and HPC workloads, including high-throughput training pipelines, checkpointing, and large-scale shared datasets., • Act as a senior technical authority for HPC and AI architecture across internal teams and customer engagements., • Participate selectively in customer-facing discussions to validate architecture and delivery plans, with a primary focus on design integrity and execution rather than pre-sales., • Identify technical risks early across Compute, Networking, Storage, and orchestration layers, and drive mitigation strategies., • Partner with the PMO counterpart to resolve Risks and Issues upon identification and to ensure production-ready, supportable platforms., • Ensure staff, contractors, and partners adhere to best practices and templates for AI solution delivery. Core Mastery Areas • Expert level with deep architectural knowledge of NVIDIA data center platforms, including HGX and DGX platforms., • GPU-accelerated compute architecture for AI and HPC workloads., • High-performance networking architectures, especially with Spectrum-X., • Hands-on architectural experience with high-performance parallel or scale-out storage systems., • Deep understanding of storage performance characteristics relevant to AI and HPC workloads, including bandwidth, IOPS, latency, and metadata scaling., • NVIDIA Base Command Manager (BCM) for cluster lifecycle management and operations., • Slurm for HPC workload scheduling and resource management., • Run:AI for GPU orchestration and multi-tenant AI workload optimization., • Kubernetes administration including deploying and managing GPU-accelerated AI and HPC workloads., • Linux systems administration in large-scale, performance-sensitive environments., • Experience optimizing existing HPC or AI platforms for performance, utilization, and cost efficiency., • Prior experience with multi-site, air-gapped, or regulated environments is beneficial but not required., • Senior individual contributor role with influence through technical authority rather than people management., • Ability to mentor engineers and architects through design reviews, architectural guidance, and technical leadership., • Develop and maintain high quality architectural documentation, including design blueprints, configuration guides, deployment validation reports, and operational runbooks., • Ensure all technical artifacts meet One Voice standards for clarity, completeness, and technical accuracy, enabling consistent delivery across teams., • Create reusable templates, reference architectures, and standardized design patterns that accelerate future projects and improve delivery quality., • Bachelor’s degree in a technical field or equivalent hands-on experience architecting large scale HPC or AI systems on experience architecting large scale HPC or AI systems., • Advanced degree (MS/PhD) in relevant fields is a plus but not required., • Experience: 10+ years in HPC, Data Center Architecture, and/or Systems Engineering., • Bare Metal Focus: A fundamental preference for, and understanding of, on-premises hardware constraints (power, cooling, cabling)., • Proven experience as a Senior, or Lead Architect or equivalent experience in AI projects. 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Job Description Senior Manager, GTM Business Systems As we scale our go-to-market operations, we need a systems leader who can own the architecture that powers the Hyperproof GTM Engine: from lead to close, to renewal to general customer success. We are hiring a Senior Manager, GTM Business Systems to work within our Business Operations team. This role reports to the Director, Business and Revenue Operations and will work closely with them to define the business systems strategy, including optimization of existing tools and roadmap planning. This leader will bring discipline and rigor to our approach to building systems, processes and workflows around Salesforce and other integrated systems. North Star: Systems that are reliable, well-documented, and require minimal manual intervention, even as complexity grows. WHO YOU ARE • A strategic systems leader, not just an administrator. You think in terms of architecture, data flow, and business outcomes, and you happen to be deeply skilled in Salesforce (Flows, APEX, Lightning) as your primary platform., • You've owned interconnected business systems ecosystems end-to-end, not just administered individual tools, but understood how they fit together and where data flows break down., • You default to Salesforce as the system of record and instinctively think about how data should flow between systems before building anything., • You're never satisfied with "it works." You continuously evaluate the systems landscape for optimization, automation, and opportunities to simplify., • You thrive in environments where the structure is shifting; you see it as a challenge to keep the ship stable., • You're the connective tissue between technical and non-technical stakeholders; able to translate business problems into systems solutions and explain technical trade-offs in plain language., • Results-oriented with a bias toward action. You drive issues to closure and don't let things linger., • You bring strong project management instincts and can evaluate options against cost, complexity, timeline, and business impact to recommend the right path forward., • You believe in documentation as a discipline, not an afterthought. You've built data governance frameworks, technical maps, and systems documentation that other people actually use., • Be the thought partner for the Director of Business and Revenue Operations. Be the right hand in pushing our operational efficiency forward., • Manage and develop one Salesforce Administrator, providing clear priorities, regular feedback, and growth opportunities. Build the team's capacity to support a growing systems portfolio as Hyperproof scales., • Own a structured intake and prioritization process for systems requests. Independently evaluate whether a requested change is valid, needed, and properly scoped or whether it needs to be escalated to Business Operations Leadership. Communicate decisions, trade-offs, and timelines transparently to stakeholders Systems Strategy & Roadmap • Co-own the business systems roadmap with the Director of Business Operations. Evaluate, recommend, and prioritize optimization opportunities, new tool implementations, and architectural changes., • Architect the integration and data flow strategy across the revenue tech stack, with Salesforce as the system of record. Own the technical vision for how systems connect., • Lead/PM all large business systems implementations, including requirements gathering, vendor/tool evaluation, Agile delivery, and go-live. You get a say in whether a tool is a good fit before we commit. Operations & Administration • Serve as the primary administrator for all tools in the business operations stack. Own implementations, configurations, and day-to-day operational support., • Own or partner on critical workflows such as; lead routing, attribution, account hierarchy, CPQ and order management, and auto-renewals., • Maintain all integrations with minimal downtime or errors. Leverage APIs for data exchange and user auto-provisioning across the stack., • Ensure all systems meet Hyperproof standards: no duplicates, seamless data flow, and consistent setup across environments., • Maintain the RevOps sprint cadence, checkpoints, and release calendar. Consistently meet deployment deadlines., • Hands-on CPQ ownership. We are completing a Nue CPQ re-implementation and this will be a primary focus during onboarding. Documentation & Data Governance • Create and maintain comprehensive systems documentation: technical maps, field libraries, integration documentation, and change logs. All system changes require documentation for education and compliance before release., • Own the data governance framework, including defined data owners, quality standards, SLAs, and escalation paths. Security & Compliance Own security settings across all tools: user access reviews, permission configurations, and customer data protection. Understand requirements across EU, FedRAMP, and additional audit frameworks relevant to Hyperproof's use case. Review and validate security configurations on a regular cadence, with documented evidence. AI & Innovation • Identify and pilot AI-powered enhancements across the business systems stack (e.g., AI-driven data enrichment, intelligent automation). Bring recommendations to Business Operations Leadership with clear business cases and measurable outcomes., • Complete a full audit of the current business systems landscape and deliver a prioritized optimization roadmap., • Establish and document a data governance framework with defined owners, SLAs, and escalation paths., • Successfully onboard to all integrations, demonstrating the ability to independently troubleshoot and resolve issues., • Execute at least 3 prioritized optimization deliverables., • Ensure the data governance framework is aligned and working., • Deliver 3 measurable improvements. WHAT YOU'LL BRING • 6+ years of Salesforce Strategy experience with demonstrated progression into systems architecture and advanced technical skills, not just administration., • Experience with at least 3, in addition to SFDC, of our named tools at the bottom of the JD., • Advanced knowledge of Salesforce Flows, • 4+ years managing multiple systems including integrations between CRM, Marketing, BI, etc., • Experience with Marketing Outbound Tools, • Experience gathering requirements and facilitating meetings with stakeholders to define use cases and needs of stakeholders, • Experience leading application implementations., • Track record of eliminating data quality issues at scale, • Experience with Lean Data or similar lead routing tools, • Bachelor's degree in Business Administration or Information Technology or equivalent professional experience., • Deep understanding of Sales and SAAS business model including PLG and ABM HOW YOU'LL SHOW UP • Coachable, fast learner who can pick up new skills and processes quickly, • Detail-oriented, taking into consideration each moving part of the system before taking action or recommending a solution, • A growth mindset toward AI and emerging technologies — willing to test, learn, and iterate rather than waiting for perfect solutions., • Outstanding communication skills, curiosity, and a helpful mindset., • Salesforce (Sales + Service + Experience Clouds+Spiff), • Hubspot, • Gong (Standard + Engage + Forecast), • ZoomInfo, • Linkedin Sales Navigator, • Lean Data, • 6Sense, • Planhat, • Highspot, • ChiliPiper, • Nue CPQ This role may also support connected systems such as: • Maxio LOCATION We are a fully remote company! Rather than restrict ourselves to only finding talent in one city, we'd rather find the absolute best people regardless of where they live. CANDIDATE EXPERIENCE • We value your time and want you to know what to expect from us. This role is critical to the growth of Hyperproof and as such, for this interview, we expect to ask you to participate in;, • 1 Recruiter Screen, • 1 Meeting with the Hiring Manager (~30 minutes), • 4 interview loop, • (3) 30-45 min interview w/peers, • (1) 20 min with SVP of Strategic Ops, • Skills Test/Case Study (2-3 Hours Max), • A brief case study on how you previously solved a key business problem. There will be a 20 min debrief on your case study., • A flow skill test, you will be asked to evaluate and fix or build a flow in a provided Sandbox., • IF NEEDED - Final Meetup with Hiring Manager (15 minutes) WHERE YOU'LL GO • Hyperproof also loves to see an internal transfer. If a linear career path is not what you're looking for, you can work with your manager and our people team to explore lateral moves to other parts of the organization as you continue to grow with us. Full compensation packages are based on candidate experience and certifications.WA pay input$131,000—$187,000 USDFull compensation packages are based on candidate experience and certifications.CA pay input$131,000—$187,000 USDFull compensation packages are based on candidate experience and certifications.NY pay input$131,000—$187,000 USDFull compensation packages are based on candidate experience and certifications.USA pay input$131,000—$187,000 USD WHERE YOU'LL GO Please note: Benefits listed below are for employees in the United States; contractor roles or international positions may differ • Annual compensation reviews + equity, • Unlimited PTO: strongly encouraged to unplug and recharge, • Health: coverage for medical, dental, and vision - employee and dependents, • 401K, which vests immediately, complete with a 4% company match, • 12 weeks of Parental leave and 1 year free diapers and wipes with Honest, • Annual company in-person events and quarterly in-person connects, • $500 home office stipend - at the time of hire. Any additional home office needs are requested as needed., • $100 quarterly paid wellness stipend, • Pet insurance discount, • Slack channel notifications turn off after 5 pm based on your time zone At Hyperproof's core are our passionate team members who focus on user experience, beautiful design, and evangelize a positive social impact of our cloud based platform. We help organizations streamline their risk and compliance workflows so our customers can spend more time strategically managing programs and less time wrangling spreadsheets. We are disrupting the governance, risk, and compliance software space with our innovative platform by helping traditionally unsung heroes (compliance professionals) do the right things so the wrong things don't happen. Learn more about the @hyperproof culture and how it all started. A NOTE ABOUT OUR INTERVIEW PROCESS We're committed to creating a fair, respectful, and secure hiring experience for everyone. As part of that commitment, we use standard verification steps throughout our interview process. Here's what that means for you: • We may conduct routine verification checks during the hiring process., • You might be asked additional questions to better understand your experience and background. EQUAL OPPORTUNITY EMPLOYER Hyperproof is committed to a diverse and inclusive workplace — it's one of our core values! Hyperproof is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our company is dedicated to building a diverse, inclusive, and authentic workplace. If you're excited about this role, but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others. To ensure a smooth interview process, all candidates will be required to provide a valid phone number that is not a VOIP (Voice Over Internet Protocol) number. This helps us maintain clear and reliable communication throughout your interview experience.

Job DescriptionWe are looking for a Solution Delivery Architect for Adobe at POP. You’ll serve as the connector between our internal disciplines of Creative, Strategy, Engineering, Quality Assurance and Delivery for digital experience engagements. Additionally, you’ll act as a liaison and partner with our clients as our subject matter expert in the Adobe Experience Cloud ecosystem, helping them understand how components of the platform work to solve their business problems. You’ll take ownership of the technical approach (from concept through to deployment) and then transition into oversight of execution, ensuring the solution vision is realized, the team is guided, client review-gates are scheduled, risks are managed, and internal/external milestones are met. What You’ll Do • Partner with new business or internal project teams to understand client requirements, business objectives and technical constraints, • Lead the technical solution design for our Adobe projects: define architecture, choose appropriate technologies, develop the solution specification/blueprint, integration points, performance/security/non-functional requirements, • Act as our internal and client technology partner for our Adobe solutions, using your deep technical knowledge of the Adobe Experience Cloud platform as a basis to translating technical detail into business-friendly language and vice-versa, • Produce documentation (solution architecture diagrams, data/analytics flows, integration flows, build specifications) and present it to stakeholders (internal teams and clients), • Transition to technical delivery oversight: act as the technical lead during the build phase. Run regular architecture and delivery check-ins, respond to engineering team questions, enforce architecture and quality standards, monitor progress and alignment with project specifications, • Define and schedule review-gates: internal engineering reviews, QA/UX reviews, stakeholder/client reviews and approvals; ensure appropriate timing and dependencies are managed, • Escalate and mitigate technical/architectural/delivery risks and issues (e.g., technical debt, scope creep, build deviations, resource constraints), • Work with PM(s) and engineering leads to ensure dependencies, schedule, resourcing, and deliverables are aligned with the architecture and client commitments, • Continuously ensure that the delivered solution meets functional and non-functional requirements, meets code/architecture standards, and aligns with the client’s long-term digital experience roadmap, • 5-8+ years of experience in digital/agency or technology services environment building Adobe Experience Cloud solutions, digital experiences, campaigns or platforms, • Proven experience designing and delivering end-to-end Adobe technical solutions, from architecture through to delivery with oversight responsibilities, specifically with AEM Sites, AEM Forms, Assets and Adobe Target, • Deep understanding of modern web/digital experience tech stacks (front-end frameworks, headless CMS, APIs, microservices, cloud services, analytics/data flows, performance/security considerations) and how those integrate and are used in Adobe-based solutions, • Hands-on experience with engineering teams: you’ve been responsible not only for specifications but for ensuring the build lives up to the architecture; you’ve done check-ins, reviews, guided engineering teams, managed risk/delivery issues, • Strong project/delivery skills: you understand scheduling, review-gates, dependencies, stakeholder management, and you can partner with PMs and developers to keep projects on track, • Excellent communication skills: you can convey architectural concepts to both engineering and non-engineering stakeholders, facilitate architecture/delivery review meetings, and represent the technical voice in client/agency discussions, • Ability to balance high-level architectural thinking with the pragmatic demands of agency delivery (speed to market, iteration, campaign constraints, budget/resources), • Comfortable working in a fast-paced, agency environment with multiple concurrent engagements, shifting priorities, and dynamic teams Regarding Total Rewards, we pay 100% of the healthcare premiums for all our employees. We offer coverage for Medical, Dental, Vision, Short- & Long-Term Disability, Flexible Spending Accounts, AD&D, Life Insurance, and 401k with employer match. This position offers the flexibility of remote work, allowing candidates to contribute from any location. Candidates will thrive in a virtual environment, collaborating effectively with team members across different locations. Additionally, we host many annual celebrations for employees and family members to show love for POPsters. Additionally, each year, we offer generous paid time off, an extended winter break, and recognize individuals for 10 years of employment with a paid sabbatical - we believe in the importance of work/life balance! POP is an Equal Opportunity Employer that is committed to an inclusive and diverse workplace. All qualified candidates will receive consideration for employment. POP will not discriminate on the basis of race, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, physical or mental disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to . Back to current openings wearepop.com Powered by JazzHR FM9GKEtEF2

Job Description Do you want to empower organizations to build smarter compensation strategies while ensuring fair pay for all employees? Syndio is a Series C technology company leveraging advanced technology and responsible AI to accelerate decision-making, streamline compliance, and democratize insights for consistent, equitable compensation practices at scale. Backed by $83M in investments from Bessemer Venture Partners, Voyager Capital, and Emerson Collective, we are expanding our team and products to help companies align their rewards strategies with their business goals. Our customers are our greatest asset. Syndio partners with many of the world's most recognized and respected enterprises, helping them implement leading-edge compensation solutions with expert guidance. We analyze pay for over 10 million employees across dozens of countries, ensuring fair, defensible rewards that drive better business outcomes. Join us in our mission to help companies make smarter pay decisions they can trust! About the role We are seeking a Forward Deployed Engineer to serve as the technical architect and execution lead for our most critical client implementations. You will be a founding member of a team dedicated to the "last mile" of the Syndio experience - ensuring that our customers' complex data environments are seamlessly integrated into our platform and clients can be onboarded into our platform with minimum effort. In this role, you aren't just "onboarding" a client; you are building the data foundations that allow enterprise leaders to make fair, confident pay decisions. You will work at the intersection of Software Engineering and Solutions Architecture, using our new Implementation Platform and cutting-edge AI tools to transform disparate data into Decision Intelligence. Why this role is exciting • Hands-on Technical Execution: Own the end-to-end technical implementation for strategic clients, from initial data ingestion to complex group configurations in the Syndio platform., • Innovate with AI: Use advanced AI prompt engineering to navigate product exceptions and architect creative solutions for unique client edge cases that "out of the box" features don't yet cover., • Drive True Adoption: Ensure the platform isn't just "live"; it's embedded. You will design configurations that make Syndio an indispensable part of a client's daily HR and compensation workflow., • Modern Tech Stack: Work with modern integration tools and help migrate existing clients to our new, high-scale Implementation Platform., • Cross-Functional Impact: Act as the technical voice of the customer. You will provide direct feedback to the Core Engineering and Product teams to help shape the future of our Data ingestion and Pay Intelligence products.Basic Requirements:, • 3-5+ years of experience as a Software Engineer, Forward Deployed Engineer, or Technical Solutions Consultant in a B2B SaaS environment., • Technical Proficiency: Strong hands-on experience with SQL and Python for data transformation and ETL processes., • AI Prompting Mastery: Proficiency in leveraging LLMs and AI prompting to accelerate complex implementations, automate data mapping and resolve technical product exceptions., • Integration Expertise: Experience working with APIs and modern iPaaS / Integration tools to move data between enterprise systems (HRIS, ATS, Payroll)., • Client-Centric Vision: Ability to lead technical deep-dives with client stakeholders, translating their business needs into platform configurations., • Operational Excellence: Proven ability to manage multiple complex technical workstreams simultaneously while maintaining high quality and documentation standards.About You:, • You are a "Technical Visionary": You don't just follow a checklist; you look at a client's data and requirements, and see the most efficient path to value., • You Thrive on Complexity: You enjoy the "puzzle" of mapping messy, real-world enterprise data into a structured platform., • You are a Strong Communicator: You can explain a complex SQL join to a non-technical HR leader and a product roadmap to a backend engineer., • You are an Early Adopter: You are excited about using AI to augment your workflow and are constantly looking for ways to automate repetitive implementation tasks.\, • You Value Partnerships: You work well cross-functionally and understand that successful implementations require a blend of technical precision and empathetic customer service.Why you'll love it here:, • 💰 Competitive Compensation. For this role our salary is targeted at $105-$140k USD per year. Final offer amounts are determined by factors such as experience and expertise. We take a geo neutral approach to compensation within the US, meaning that we pay based on job function and level, not location., • 🏆 Syndio Equity. So you can share in Syndio's success., • 🏝 Flexible Vacation Policy. We encourage our team to recharge when they need to, plus paid sick & safe time, compassion leave, parental leave, and voting leave., • 🩺 Medical, Dental, Vision. Syndio pays 90% of employee premiums, and 50% for dependents., • 🏥 Life Insurance & Disability. Syndio covers the full premium., • 🏦 401(k). To help you save for your future, • Complete onboarding on the Syndio platform and the "Decision Intelligence" vision., • Master the new Integration Platform and current data loading artifacts., • Shadow 2-3 strategic client implementations and identify potential automation opportunities., • Independently lead technical implementations for new clients., • Execute data migrations for a segment of the existing client base into the new Integration platform., • Build reusable "Implementation Artifacts" (scripts, prompts, templates) that reduce time-to-value for the whole team., • Manage a portfolio of high-complexity implementations for Syndio's most strategic accounts utilizing automation and other artifacts to maximize client's value in minimum time., • Help achieve the goal of migrating 70% of the client base to the new Integration platform solution., • 30 min phone call with a member of our Talent Team., • 45-60 min Zoom deep dive with the Hiring Manager (Director of Forward Deployed Engineering)., • Technical/Strategic Evaluation: A take-home or live case study focusing on:, • Designing a data ingestion plan for a complex client., • Demonstrating how you leverage AI prompting to solve an implementation exception., • Creating a "theoretical" plan for group setup and user adoption., • 45 min technical interview with a Senior Engineer to walk through your code or logic., • 2-3 video interviews with key members of the Customer Success and Product teams. Syndio is an Equal Opportunity Employer. We are building an inclusive and collaborative workplace as we grow, and we welcome team members regardless of gender/identity, sexual orientation, race or cultural background, religion, physical disability and age.

As a Solution Architect, you will influence and define best practices, design patterns, and architecture. Solutions Architect at a management consulting firm, or in a client-facing role, with proven responsibility for delivering high-impact customer solutions. Hands-on Palantir solution architect du

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Deliver high‑quality data ingestion, transformation, and modeling solutions using Fabric and associated Azure services through spec‑driven development. Support investigation and resolution of data issues by improving pipeline robustness and observability. Continuously improve reliability, reusab

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As an intern for project management, you will work within Acxiom's Solutions and Analytics organization to assist with implementation of sizable projects and bring high quality to product and solution development projects. This is a chance to engage in the implementation of marketing solutions and p

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Hermanson Company is a standout Mechanical Construction company that has been doing business in the Puget Sound area since 1979.The last decade has seen the company grow from a smaller, family-owned business to become a major player smack dab in the middle of the hot Seattle-area construction indust

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