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Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking a Senior Central Cloud Infrastructure Engineer to serve as a principal contributor to our central cloud platform infrastructure. In this role, you will architect, scale, and maintain highly resilient environments across multiple products while driving infrastructure modernization and legacy system integrations. The ideal candidate combines deep technical mastery of modern cloud-native systems with a strong collaborative mindset to interface across engineering teams, troubleshoot complex environments, and provide technical guidance to scale the team's overall competency. What you'll do • Architect, implement, and maintain scalable, reliable, and secure cloud infrastructure environments across multiple company products, • Design and manage infrastructure modernization initiatives (CI/CD, IaC, K8s, AI, etc) and lead the complex integration of legacy or established systems into modern, cloud-native environments, • Craft comprehensive disaster recovery strategies and engineer production-grade technical solutions to safeguard system uptime, • Serve as a technical focal point for troubleshooting, system deep-dives, and resolving infrastructure bottlenecks across both Linux and Windows operating systems, • Ensure global cloud environments continuously meet and exceed stringent security guidelines and technical compliance frameworks, specifically PCI and SOC2, • Lead incident response and root-cause analysis, and champion blameless postmortems and error-budget discipline across the team, • Provide technical leadership and guidance to junior and mid-level engineers, helping to scale the infrastructure team's overall technical competencyWhat we're looking for, • Hold a BS degree in Computer Science (or a relevant technical/engineering discipline) and 5+ years of hands-on experience, or equivalent professional experience (8+ years) working in high-growth cloud environments, • Demonstrate deep production-level technical experience using AWS, Terraform, Atmos, and Python (or equivalent automation language - Bash/Go), • Demonstrate hands-on expertise with a modern observability stack (Datadog or equivalent: APM/distributed tracing, logs, metrics, RUM), including defining SLOs/SLIs and managing monitors-as-code, • Leverage production experience with service mesh and L7 proxies (Envoy/Istio) and Kubernetes ingress in high-throughput request paths, • Utilize advanced operational knowledge of Kubernetes/EKS, Helm, and overall container orchestration, • Apply strong secrets-management and rotation practices (Infisical, Vault, or AWS Secrets Manager) in a PCI/SOC2 context, • Showcase hands-on experience working with managed streaming data infrastructure via AWS MSK (Kafka) alongside various SQL and NoSQL AWS managed database solutions, including Amazon Aurora, • Maintain a strong understanding of cloud networking architecture, security protocols, and firewalls, • Exhibit expert competency managing, configuring, and troubleshooting Linux (and Windows where applicable) server environments, • Use excellent written and verbal communication skills to translate complex infrastructure concepts into clear, actionable technical documentationWhile not required, these are a plus:, • Possess previous experience working inside innovative, high-growth tech start-ups or fast-paced corporate engineering environments 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to $225,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AR1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs — without regard to race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law. We are committed to providing a welcoming, accessible hiring experience. If you need a reasonable accommodation for any part of the application or interview process, please reach out to us at recruiting@metropolis.io.

Job Description Senior Manager, Amazon Retail Sales Department: Sales & Marketing Location: Salt Lake City and/or Seattle (remote may be considered for right skill set) Compensation: $130,000-$180,000 + Bonus About the Role Our business is BBQ, and business tastes good. Traeger invented the wood pellet grill over 30 years ago, and we've been revolutionizing outdoor cooking ever since. We're a team of disruptors, innovators, problem solvers, and food fanatics who are dedicated to bringing people together to create a more flavorful world. From our headquarters in Salt Lake City and beyond, we work tirelessly to provide a world-class experience to our customers, retailers, and especially our employees. If you're a team player who's dedicated to delivering top-quality results every day, then we want you to come cook with us! As Senior Manager, Amazon Retail Sales at Traeger, you will lead our Amazon business across North America. You will be responsible for the strategy, growth and operational excellence of the Amazon retail channel. Our ideal candidates have deep expertise & leadership across Amazon retail and want to continue their leadership journey on a high growth and influential account at Traeger. Key Responsibilities Business Leadership • Own the full P&L for Amazon (Traeger is 1P/Vendor Central), including sell in & sell through, profitability, demand planning, and retail operational metrics., • Develop & execute Amazon specific long range strategies to drive sustainable growth, market share expansion & brand awareness., • Define & communicate Amazon-specific needs internally & partner across product, marketing, finance, supply chain to ensure plan alignment. Strategic Account Management • Deepen relationships with Amazon retail leadership: category managers, vendor managers, retail marketing & Amazon Ads and operational teams, • Lead annual joint business planning (JBPs), QBRs and annual vendor negotiations – aligning priorities across sales, profitability, customer acquisition, site operations, supply chain & logistics, • Manage annual promotional strategy (ie: Prime Day, Black Friday/Holiday, HVEs) and ensure flawless execution across pricing, inventory and marketing., • Get ahead of and resolve operational issues: chargebacks, shortages/inventory, PO flow, content errors and catalog integrity., • Data & Insights Leadership. Analyze category dynamics, competitive movements, shopper behavior to identify risks & opportunities and leverage Amazon retail analytics tools to also help optimize performance. Familiarity with Stackline tools is a plus. Requirements: • 5+ years of experience managing Amazon (1P), ideally in premium consumer goods., • Demonstrated success owning a multi-million dollar Amazon business with strong P&L management & Amazon retail levers: vendor negotiations, profitability management, demand forecasting, search/onsite visibility., • Ability to influence senior stakeholders with data backed insights and analytical skills, • Excellent negotiation, communication, and strategic account management skills with a high level of autonomy. Why You Will Love Working Here: • Be part of the most disruptive force in outdoor cooking, • Join a true team working towards a common goal, • Culture of risk-taking, innovation, & quality, • So. Much. Food., • Have an outdoor lover's paradise in your backyard, • Full medical/dental/vision package to fit your needs, • 401k to help you plan for the future, • Tuition reimbursement, • Individual professional development programs & initiatives to help you grow professionally, • Great discounts on all things Traeger, • Did we mention all the food? Traeger may use AI tools for resume-screening purposes. By submitting your application to us, regardless of method for submission, you consent to the use of such AI tools.

Job Description About Us: Pacvue is the leading Commerce Media OS, powering over $12B in advertising spend across 100+ global retail media networks including Amazon, Walmart, Target, Kroger, Instacart, Criteo, and CitrusAd. Powered by industry-leading AI and real-time data, Pacvue enables over 70,000 brands and agencies to maximize advertising performance, drive incrementality, and expand reach across the commerce universe from a single mission control. As of 2025, Pacvue powers 12% of total retail media ad spend worldwide excluding China. Combined with Helium 10's SMB solutions, Pacvue delivers the industry's most comprehensive platform for businesses of all sizes. At Pacvue and Helium 10, great careers don't just happen — they're built. Here, you'll rise as an industry leader, push the boundaries of innovation, own your journey, and thrive as part of an inclusive global community that's redefining the future of commerce. About the role: We are looking for a self-starter who builds strong client relationships and takes ownership of day-to-day client inputs, working under limited instruction with guidance available on more ambiguous items. The ideal candidate supports the client relationship, using Pacvue's platform and data to execute agreed-upon strategies and flag opportunities for manager review, beginning to exercise independent judgment on day-to-day decisions. Day to day, this includes supporting paid search and display media execution for various retailers, helping prepare budget recommendations to help clients hit their business objectives, flagging operational KPIs or opportunities that impact advertising effectiveness, and delivering regular reporting on performance. This role requires someone who can work through a data set, follow established frameworks to build out a plan, and present findings and recommendations to the manager or team lead, who will align senior stakeholders. This team owns some of our most complex and highest-value accounts, spanning both enterprise brands and agency-managed clients, working within established account management processes. Responsibilities: • Support the client relationship by building solid rapport, demonstrating transparency, and helping deliver results against joint business objectives, • Help develop growth plans under manager guidance, support client alignment conversations, and execute against the agreed-upon approach, • Measure efficacy of the strategy through regular reporting against core retail media KPIs and support ad-hoc audits to identify areas for refinement, • Apply retail media activities and other retail readiness recommendations to drive increased traffic and conversion and organic search ranking improvement, • Flag incremental sales opportunities to the manager through participation in retailer programs, additional promotional opportunities, and recommendations to improve operational KPIs, • Help develop budget recommendations and support allocation across campaigns to align with business objectives, with manager review, • Support development of the annual marketing calendar, incorporating key drive periods including relevant macro and micro seasons, new product launches, and client media calendars, • Use Pacvue technology to manage budget pacing, communicate with clients on trends and pacing, and help deliver results within client budget thresholds, • Prepare weekly and monthly retail media performance reports, analyze category trends, measure advertising and total sales, identify account trends, and support competitive benchmarking across the client's product portfolio, • Support efforts to grow retailer share, revenue, and profitability for clients while factoring in the client's internal objectives such as driving innovation or key items or product lines, • Support retail media plans for new product launches, including recommendations for retail readiness across core KPIs, • Assist with reporting, analysis, and communication with Pacvue and client management teams Skills & Qualifications: • 3+ years of experience in e-commerce sales and/or digital marketing, • The ideal candidate will be a self-starter, demonstrate ownership, work collaboratively, be transparent, be action and results oriented, and have strong analytical skills, • Hands-on experience supporting paid search and/or paid display campaigns, ideally within a retail media platform (Amazon, Walmart, Instacart, Criteo, or similar), • Develop a working understanding of how retail media, sales, and operations connect, applying Pacvue's standard playbooks and guidelines to day-to-day account work, • Prior account support or account coordination experience, • Prior product management, project management, financial analysis, negotiation and/or marketing experience is a plus, • Experience building relationships, working at or with agencies, and supporting account management is a plus, • Track record of driving results and implementing ideas in a fast-paced environment, • Works efficiently and is always looking to streamline processes and workflows, • Excellent organizational and communication skills, • Strong analytical skills, • Experience using AI to expedite or build new workflows (Claude, ChatGPT, etc.), • Moderate Excel skills are a must Benefits: • Flexible Paid Time Off, • Paid Holidays and Floating Holidays, • Medical, Dental, Vision, FSA, HSA with employer contribution, Life Insurance and Pet Insurance, • 401k with Employer Match, • Take up to 2 Days of Paid Time Off to Volunteer with a 501c Organization, • Paid Parental Leave, • Company-subsidized membership to Wellhub and Peloton, • Fertility and family-building information platform through Carrot The annual base salary range for this position is $85,000-$105,000 USD. The actual salary will vary depending on the applicant's experience, skills, and abilities as well as internal equity and market data for their location. This position is also eligible for an additional annual bonus compensation through one of Pacvue's highly attractive incentive plans, full details will be provided during the recruitment process. Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. #LI-remote Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Job Description About Us: Pacvue is the leading Commerce Media OS, powering over $12B in advertising spend across 100+ global retail media networks including Amazon, Walmart, Target, Kroger, Instacart, Criteo, and CitrusAd. Powered by industry-leading AI and real-time data, Pacvue enables over 70,000 brands and agencies to maximize advertising performance, drive incrementality, and expand reach across the commerce universe from a single mission control. As of 2025, Pacvue powers 12% of total retail media ad spend worldwide excluding China. Combined with Helium 10's SMB solutions, Pacvue delivers the industry's most comprehensive platform for businesses of all sizes. At Pacvue and Helium 10, great careers don't just happen — they're built. Here, you'll rise as an industry leader, push the boundaries of innovation, own your journey, and thrive as part of an inclusive global community that's redefining the future of commerce. About the Role: We are seeking an experienced Senior Director of Demand Generation to own the global demand generation function for Pacvue's enterprise business, reporting into our SVP of Marketing. This role owns the demand engine end-to-end, the pipeline, the program budget, and distinct growth channels: paid media, lifecycle marketing and integrated campaigns, industry demand generation partnerships, and our paid referral program. The Senior Director will lead the demand generation organization through a team of managers and ICs, each owning a discipline, and will set the global demand methodology, standards, and measurement that regional teams execute against. As the senior voice for demand generation, you will reconcile competing priorities across sales, product, regional leadership, and global functional heads, and you will be the single point of accountability for marketing pipeline across every channel that generates it. This is a role for someone who is equal parts strategist, operator, and dealmaker. You will decide where our demand dollars go, set the campaign and lifecycle strategy that carries prospects from first touch to closed-won, and personally build the partner and referral relationships that put Pacvue in front of buyers we cannot reach on our own. Responsibilities: • Set and own the global demand generation strategy, including budgeting, forecasting, and reporting against pipeline and revenue targets, • Establish the methodology the demand function runs on globally; campaign frameworks, performance standards, channel playbooks, and measurement, • Partner with regional marketing leaders, including the Director of EMEA Marketing, so global campaigns land with regional market fit and sales alignment., • Own paid strategy across search, social, display, and content syndication, with Google Ads, Meta, and LinkedIn as core channels, holding the team to targets for CPL, cost per opportunity, and ROAS on pipeline, • Own the lifecycle strategy across email, nurture, and in-product touchpoints, building segmented programs that convert existing database demand rather than only buying new leads, • Partner with Product Marketing to turn positioning and messaging frameworks into campaigns that convert, and with Content and Events so every program lands as one coherent story, • Align demand generation goals with Sales leadership on shared definitions and targets; own the lead-to-opportunity handoff and support SDR/BDR effectiveness, • Own industry partnerships as a demand channel — identify, negotiate, and scale co-marketing relationships with retailers, technology partners, agencies, and industry media that generate qualified pipeline, • Own the paid referral program end-to-end: partner recruitment, incentive and commission structure, enablement, tracking, payout operations, and performance reporting, • Partner with Sales, Legal, and Finance on partner agreements, referral terms, deal registration, and attribution of partner-sourced pipeline, • Manage through leaders — set direction and standards for disciplines you do not execute yourself, and develop your managers into stronger leaders, • Measure demand performance and ROI through data analytics; provide regular reporting to leadership on funnel health across all regions, • Drive a continuous testing agenda across channels, audiences, creative, and landing page conversion, and improve lead quality at every stage handoff in partnership with Sales and Marketing Operations Skills & Qualifications: • 12+ years of marketing experience with deep specialization in B2B demand generation or growth. This role requires career depth in the demand discipline itself, not oversight of it as one of several functions, • Senior leadership responsibility for a global or multi-region functional area, owning the standards and measurement regional teams operate against, • Proven experience leading demand generation teams through a layer of managers, • Demonstrated ownership of a demand budget and pipeline target across multiple channels simultaneously; breadth across the funnel, not depth in one channel alone, • Deep, hands-on performance marketing background, with significant paid budgets owned across Google Ads, LinkedIn, and Bing, • Strong lifecycle and nurture expertise, with working command of marketing automation and Salesforce CRM, • Experience building co-marketing, channel, affiliate, or referral programs as a measurable source of pipeline, including structuring the incentives and negotiating the agreements behind them, • Strong analytical skills with real fluency in funnel math and attribution, • Experience working in matrix organizations and driving alignment with regional counterparts you do not directly manage, • Strong expertise in B2B marketing (SaaS, eCommerce, retail media, or commerce advertising preferred); experience in a scale-up environment, • Ability to work effectively in a fast-paced, results-driven environment, • Ability to challenge the "status-quo" and not be afraid to test new, bold ideas Benefits: • Flexible Paid Time Off, • Paid Holidays and Floating Holidays, • Medical, Dental, Vision, FSA, HSA with employer contribution, Life Insurance and Pet Insurance, • 401k with Employer Match, • Take up to 2 Days of Paid Time Off to Volunteer with a 501c Organization, • Paid Parental Leave, • Company-subsidized membership to Wellhub and Peloton, • Fertility and family-building information platform through Carrot The annual base salary range for this position is $180,000-$215,000 USD. The actual salary will vary depending on the applicant's experience, skills, and abilities as well as internal equity and market data for their location. This position is also eligible for an additional annual bonus compensation through one of Pacvue's highly attractive incentive plans, full details will be provided during the recruitment process. #LI-Remote Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Job DescriptionCompany Description At Bulletproof, we craft products to awaken the potential in every coffee afficionado. And we strive to help them transform and build confidence to own tomorrow. We pioneered a category that fused wellness and performance, and we believe now is the time to reclaim our place as one of the most recognizable, talked-about, and culture-shaping brands in health and nutrition. We are a passionate, entrepreneurial team building products that deliver measurable performance — from pure, clean coffee to functional mix-ins. We’re distributed across eCommerce, Amazon, and retail partners nationwide, with a mission rooted in sustainability, high standards of product quality, and consumer trust. Bulletproof is backed by Grupo Mariposa, one of the fastest growing food and beverage conglomerates in Latin-America and part of Bia Foods, a nourishing alliance – talent, companies, partners and brands connected to grow. Together, we’re expanding our reach while staying true to what matters: quality you can trust, benefits you can feel, and a daily routine that supports balance in body and mind. At Bulletproof 360, Inc. (“Bulletproof”), we welcome candidates with different backgrounds and perspectives. We value and trust each other – including our differences – while remaining true to our mission of improving lives. We encourage a corporate culture of self-expression, asking everyone to be authentic to themselves. Our team brings together their unique perspectives, experiences, and passions in the work they do because we believe diversity makes us stronger, together. Bulletproof aims to create a workplace that celebrates the diversity of our team at all levels of the workforce without regard to age, race, color, sex, national origin, religion, sexual orientation, veteran status, gender identity and/or expression, disability or any other laws. We strive to take steps in our recruiting practices by promoting diversity and fostering inclusion throughout our interview and hiring process, working toward the goal of a diverse and inclusive workforce. Job Description Bulletproof is seeking an experienced DTC Ecommerce Growth Lead for a three-month, full-time contractor engagement to provide interim leadership of Bulletproof.com while the current DTC leader is on leave. This person will be responsible for maintaining business continuity, owning DTC performance, directing agency and internal execution, and identifying near-term growth opportunities across acquisition, retention, subscription, site conversion, merchandising and innovation. This is not primarily a hands-on production role. The contractor will set priorities, make commercial decisions, challenge assumptions, connect execution to business economics, and hold partners accountable for results. In summary, this is a three-month, full-time interim leadership assignment with real business ownership. The successful contractor will step into an established DTC business, lead performance and forecasting, oversee a specialized DTC agency, guide paid acquisition across Google and Meta, supervise an experienced ecommerce operator, and help identify the next sources of profitable growth. The expectation is to quickly understand the economics of the business, focus the organization on the few things that matter most, and leave behind a stronger operating system and roadmap than the one inherited. Additional Information: • Hourly contract rate: $50-$75/hour, • Weekly hours: 30-40 hours per week, planned to start ASAP., • This is a fully remote contract role; candidates can be located anywhere within the United States. Key Responsibilities: • Protect business continuity: Ensure forecasting, promotions, launches, site operations, retention programs, paid media and reporting continue without disruption., • Own DTC business performance: Maintain clear visibility to revenue, margin, traffic, conversion, AOV, subscriptions, retention and acquisition performance, and proactively identify gaps versus forecast., • Lead and hold the contracted agency accountable: Translate Bulletproof priorities into clear agency direction, manage scope and SLAs, prioritize work, challenge recommendations and ensure execution drives measurable business impact., • Accelerate the path back to growth: Identify and validate the highest-value revenue opportunities across acquisition, retention, subscription, merchandising, CRO, product prioritization and innovation., • Leave the business stronger: Provide documented learnings, decisions, outstanding risks and a prioritized forward roadmap for the returning DTC leader., • Weekly S&OE, • Maintain and update the weekly DTC revenue outlook and item-level forecast., • Review actual performance versus forecast and identify risks and opportunities early enough to act., • Forecast expected performance by core product/category, promotional period, subscription revenue, paid acquisition contribution and major innovation launches., • Incorporate current traffic, conversion, AOV, inventory and media trends into the forecast., • Partner with Operations to understand inventory constraints, OOS risks and product availability., • Recommend interventions when weekly run rate falls behind expectation., • Monthly S&OP / Rolling Forecast, • Own item-level DTC forecasting, including base business, promotions, subscriptions, innovation and seasonality., • Maintain and improve the rolling 12-month forecast rather than rebuilding it unnecessarily during the engagement., • Translate changes in demand into inventory, media and commercial actions through monthly S&OP., • Document assumptions, upside/downside scenarios, major risks and opportunities., • Monthly Business Performance Review, • Own preparation of the DTC Monthly Business Review and ensure it explains business performance rather than simply reporting activity., • Cover revenue vs. plan/LE/prior year; contribution margin; traffic; CVR; AOV; new vs. returning mix; paid acquisition and CAC; subscription adds, active base and churn; repeat purchase; product/category performance; innovation; promotional effectiveness; CRO and creative learnings., • Provide a clear executive “So What?” with recommended actions and decisions., • Agency Leadership, • Serve as the primary internal business owner for the agency across retention, CRO, website support, and AIO., • Translate business priorities into clear agency briefs and maintain a prioritized roadmap across workstreams., • Hold the agency accountable to scope, SLAs, quality standards and agreed business outcomes., • Lead business reviews and challenge recommendations that do not align with margin, LTV, inventory, brand strategy or product priorities., • Ensure tests generate useful learning and quantified business impact, not activity for activity’s sake., • Escalate performance, quality or timing issues appropriately and ensure learnings/documentation remain inside Bulletproof., • Paid Media Leadership – Google & Meta, • Oversee Google and Meta strategy, budget allocation and performance with sufficient technical depth to challenge agencies and operators., • Review spend, CAC/nCAC, ROAS, NTB, conversion, revenue and contribution margin through a business-economics lens, not ROAS alone., • Evaluate product-level paid media economics and determine which products merit acquisition investment based on margin, conversion, repeat behavior, subscription potential and LTV., • Connect acquisition investment to downstream customer quality and retention., • Ensure creative testing is concentrated behind strategically prioritized products rather than spread thinly across the portfolio., • Retention, CRM & Subscription Strategy, • Advance the shift from promo-first CRM toward segmented, value-driven lifecycle marketing., • Prioritize customer segments based on product affinity, purchase behavior, subscriber status, engagement, LTV and promotion dependency., • Monitor whether retention strategy is improving repeat purchase, time to second order, subscription conversion, early subscriber retention and revenue per recipient/customer., • Ensure educational content connects to product benefits, routines, replenishment moments and clear buying actions., • Monitor subscriber acquisition, first-renewal retention, cancellation and net subscriber trends., • Improve subscription attach, cancellation intervention, skip/pause/save behavior and cross-sell/multi-product subscription opportunities., • Evaluate subscription offer structures against both margin and churn, and ensure discontinued/OOS products have migration or substitution paths., • Promotional Strategy & Effectiveness, • Own the DTC promotional strategy and calendar, including offer architecture, discount depth, GWP, sampling and subscription offers., • Evaluate incremental revenue, contribution margin, customer quality and demand pull-forward to determine which promotions should be repeated, changed or eliminated., • Ensure the agency and the internal ecommerce team execute within approved promotional and margin guardrails., • Reduce reliance on broad discounting where evidence supports stronger value-led alternatives., • Product Prioritization, Merchandising & Innovation, • Manage discipline around which products receive disproportionate DTC investment., • Use product economics, customer demand, repeat behavior, margin and strategic relevance to prioritize paid media, creative, promotions, site placement and CRM support., • Define the 5-10 products deserving the greatest commercial support during the engagement., • CRO, Site Experience & Senior Ecommerce Specialist Leadership, • Prioritize the CRO roadmap based on potential business impact; approve test hypotheses and success criteria; review results and make scale / iterate / kill decisions., • Guide campaign priorities and ensure landing pages and PDPs reinforce campaign and product priorities., • Provide direction, prioritization and support to the Senior Ecommerce Specialist, who owns substantial hands-on execution across Shopify, launches, promotions, subscriptions, merchandising, QA, SEO/AIO implementation and vendor coordination., • Set weekly priorities, remove conflicting asks, make trade-offs when capacity is constrained and protect the Specialist from becoming an uncontrolled intake function., • Do not absorb or duplicate hands-on Shopify, QA or routine site administration unless business continuity requires temporary intervention., • Customer & Cross-Functional Leadership, • Represent the customer in DTC decisions by connecting quantitative performance with customer behavior, needs and friction points., • Ensure channel decisions improve both business economics and the consumer experience., • Serve as the DTC connector across Marketing/Brand, Creative, Finance, Operations & Supply Chain, Innovation/Product, Customer Care, IT/ERP, Analytics, the agency and other external partners., • Ensure DTC does not operate as an isolated channel and that commercial decisions reflect broader company priorities.Qualifications, • 8+ years of experience in DTC ecommerce, growth or digital commerce, with prior ownership of a meaningful ecommerce P&L or revenue target., • Strong Shopify-based DTC experience., • Demonstrated performance marketing experience across Google and Meta., • Strong command of CAC, ROAS, conversion, AOV, contribution margin and LTV., • Experience with retention, lifecycle marketing and subscription businesses., • Experience managing external ecommerce/performance agencies., • Strong forecasting, commercial planning and analytical capability., • Experience in consumer products / CPG strongly preferred. Additional Information Grupo Mariposa's mission is to nurture growth and foster sustainability within the global food and beverage industry. We are committed to excellence through disciplined management, innovative practices and dynamic culture that embraces change. Grupo Mariposa is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description About Us: Pacvue is the leading Commerce Operating System, unifying retail media, commerce management, and advanced measurement across 100+ global marketplaces, including Amazon, Walmart, Target, and Instacart. Through Pacvue and Helium 10, our enterprise and SMB platforms, we empower over 70,000 brands, agencies, and sellers with AI-driven insights and technology to win in today's rapidly evolving commerce landscape. At Pacvue and Helium 10, great careers don't just happen — they're built. Here, you'll rise as an industry leader, push the boundaries of innovation, own your journey, and thrive as part of an inclusive global community that's redefining the future of commerce. About the role: You'll join our marketing team as the hands-on builder and systems owner behind our lifecycle and demand generation programs, partnering closely with the rest of the marketing team to turn strategy into flawless execution. This role owns the technical execution layer, including HubSpot and Salesforce campaign builds, QA, attribution, and reporting, and also plays an active, hands-on role in lifecycle marketing itself, not just backend support for others. You'll bring a growth marketing mindset to the role: analyzing campaign and funnel data, forming testing hypotheses, and running A/B and multivariate tests to continuously improve conversion. You'll also support sales follow-up on engaged leads and accounts, helping keep momentum going after meetings and events to ensure a flawless handoff. Success in this role looks like clean, trusted campaign execution and attribution, plus a growing cadence of data-backed test results that measurably improve conversion. Responsibilities: • Own the end-to-end technical build of email and lifecycle campaigns in HubSpot, including audience/list segmentation, workflow logic, dynamic content, form and landing page setup., • Write and edit email copy for nurture and campaign sends, in addition to building and maintaining the underlying workflows in HubSpot, translating campaign and lifecycle strategy into working automation., • Own UTM taxonomy, campaign tagging, and tracking setup to ensure clean, consistent attribution across HubSpot and Salesforce., • Serve as the primary QA owner for all campaign builds — testing links, personalization tokens, workflow logic, and rendering prior to launch., • Own backend campaign reporting: build and maintain channel-level dashboards and pull performance data to give the team clear visibility into campaign performance., • Support sales follow-up on engaged leads and accounts, including Gong call flows, thank-you emails, and follow-up sales materials, to help keep momentum going after meetings and events., • Dig into campaign, email, and landing page performance data to spot conversion opportunities and drop-off points, and bring data-backed testing suggestions to the team., • Design and run A/B and multivariate tests (e.g., using VWO) on landing pages and email programs, and report out results and recommendations., • Identify and implement opportunities to templatize and streamline recurring builds for scale. Skills & Qualifications: • 5+ years of hands-on, expert-level experience building and managing campaigns in HubSpot, along with working knowledge of Salesforce., • Deep, demonstrable technical fluency in marketing automation, workflows, lists/segmentation, forms, dynamic content, and UTM/attribution setup., • Strong analytical skills with experience building reporting and identifying areas for improvement., • Comfortable analyzing performance data to form testing hypotheses; experience running A/B or multivariate tests with a tool like VWO, Optimizely, or HubSpot's native A/B testing is a plus., • Detail-oriented with a QA mindset; comfortable owning quality control for campaigns built by others on the team., • Strong email copywriting skills. Comfortable writing and editing clear, on-brand nurture and campaign copy, not just building the emails., • Familiarity with Gong or similar sales enablement tools is a plus. Benefits: • Flexible Paid Time Off, • Paid Holidays and Floating Holidays, • Medical, Dental, Vision, FSA, HSA with employer contribution, Life Insurance and Pet Insurance, • 401k with Employer Match, • Take up to 2 Days of Paid Time Off to Volunteer with a 501c Organization, • Paid Parental Leave, • Company-subsidized membership to Wellhub and Peloton, • Fertility and family-building support through Carrot The annual base salary range for this position is $90,000-$110,000 USD. The actual salary will vary depending on the applicant's experience, skills, and abilities as well as internal equity and market data for their location. This position is also eligible for an additional annual bonus compensation through one of Pacvue's highly attractive incentive plans, full details will be provided during the recruitment process. #LI-Remote Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are Metropolis is seeking a Staff Software Engineer focused on Reliability to own reliability across the entire Metropolis platform and drive the comprehensive practices that ensure system availability, resilience, and observability for our mission-critical mobility infrastructure. In this role, you will build reliability from first principles, architecting failover systems, implementing chaos engineering, and improving our observability foundation to maintain 99.9%+ uptime as we scale to new markets. As the technical owner of our reliability posture, you will tackle challenges like external service failover, dependency mirroring, and database replication, working alongside highly technical teams across the organization to influence architecture decisions and establish company-wide reliability standards. You will join the Product Foundations team, playing a key role in building the foundational infrastructure that powers the future of mobility commerce. What you'll do • Own the overall reliability posture for the Metropolis platform, establishing practices, metrics, and systems that ensure 99.9%+ uptime across all services, • Design and implement automatic failover mechanisms for critical external dependencies like Twilio for SMS/voice and Stripe for payments with circuit breakers, retry policies, and degraded mode operations, • Architect and build active-passive or active-active regional deployment strategies with database replication, automated failover, and DNS-based traffic routing including disaster recovery planning and testing, • Establish comprehensive monitoring using Datadog for APM, logs, and metrics correlation, • Implement synthetic monitoring, SLO-based alerting, on-call rotation, and escalation policies while building service health dashboards that show customer impact, • Own the incident management process including workflows, tooling, post-mortem culture, runbook automation, and MTTR reduction initiatives to drive down mean time to recovery from detection to resolution, • Drive adoption of resilience patterns across all services including health checks, graceful degradation, feature flags, rate limiting, backpressure mechanisms, and chaos engineering practices, • Build and maintain local mirrors for critical dependencies with artifact caching, dependency pinning, and vulnerability scanning to prevent build failures from upstream outagesWhat we're looking for, • 8+ years of engineering experience including software engineering, reliability engineering, SRE practices, or production operations at scale, • Demonstrate expert-level reliability engineering skills including hands-on experience with multi-region architectures, failover automation, circuit breakers, chaos engineering, and disaster recovery, • Utilize production observability expertise with deep experience implementing monitoring, alerting, tracing, and logging systems at scale – specifically Datadog or similar APM platforms in high-load environments, • Apply strong systems thinking with proven ability to design resilient distributed systems that gracefully handle failures, network partitions, and external dependency outages, • Demonstrate database and data systems knowledge including replication strategies, backup/restore procedures, connection pooling, query optimization, and experience with both relational and NoSQL databases, • Leverage cloud platform expertise with production experience operating and ensuring reliability of systems on AWS including multi-region deployments, load balancing, and DNS-based failover, • Possess experience with AI-powered development tools such as Claude Code, GitHub Copilot, or similar agentic coding tools for enhanced productivity – context engineering in particular, • Exhibit excellent technical communication with ability to influence technical decisions across teams, document complex systems, conduct post-mortems, and establish reliability standards organization-wide, • Demonstrate expert-level Java and/or Scala proficiency with strong understanding of JVM performance, concurrency, and operational characteristicsWhile not required, these are a plus:, • Bring Scala experience, • Possess SRE or Reliability Engineering experience at companies known for operational excellence such as Google, Amazon, Netflix or high-growth startups where you built reliability practices from the ground up, • Demonstrate incident response leadership including experience building incident management processes, conducting blameless post-mortems, and driving MTTR reduction initiatives in production environments, • Utilize chaos engineering experience with tools like Chaos Monkey, Gremlin, or similar, including designing and executing game days and failure injection testing, • Exhibit performance optimization experience with profiling, benchmarking, capacity planning, and system tuning at hyperscale including experience optimizing for high-throughput, low-latency systems, • Show open source contributions or technical blog writing that demonstrates depth of expertise in reliability engineering, distributed systems, or production operationsOur Stack, • Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited), • Datastores: MySQL, PostgreSQL, Snowflake, • Cloud: AWS, • Version control: Git & GitHub, • AI Tooling: Copilot on GitHub, • Observability: Datadog 4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $203,500 USD to $248,500 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-LR1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs — without regard to race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law. We are committed to providing a welcoming, accessible hiring experience. If you need a reasonable accommodation for any part of the application or interview process, please reach out to us at recruiting@metropolis.io.

Job DescriptionAbout Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com. The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: • Environments for Software Engineering / coding agents, • UI-Environments for Computer-Use/Browser-Use agents, • MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems • Investigate the capabilities, limitations, and training methods of frontier AI systems., • Formulate research questions that can inform Turing's products, platforms, and technical strategy., • Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation., • Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.2. Build and Evaluate Research Systems, • Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks., • Train, test, and evaluate models using modern AI and machine learning tools., • Analyze results carefully and draw clear, evidence-based conclusions., • Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation., • Iterate quickly from early hypothesis through validated technical insight.3. Translate Research into Practical Impact, • Collaborate closely with Research, Engineering, Product, and Operations teams., • Translate research findings into improvements for Turing's products, platforms, and AI capabilities., • Help identify which ideas are ready to move from exploration into scalable, real-world applications., • Communicate technical findings clearly to both specialized and cross-functional audiences.4. Contribute to the Research Community, • Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate., • Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration., • Represent Turing thoughtfully within the broader AI research community.What We're Looking For, • Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered., • Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling., • Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks., • Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment., • Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making., • Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing • Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design., • Build datasets and environments that directly improve the capabilities of advanced AI systems., • Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks., • Apply frontier AI innovations to high-value enterprise workflows., • Operate with high autonomy, rapid iteration, and meaningful commercial impact., • Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies., • Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value., • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection, • We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.Advantages of joining Turing, • Work at the frontier of AI, helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks., • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS., • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges., • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies., • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

Job DescriptionAbout Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com. The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: • Environments for Software Engineering / coding agents, • UI-Environments for Computer-Use/Browser-Use agents, • MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems • Investigate the capabilities, limitations, and training methods of frontier AI systems., • Formulate research questions that can inform Turing's products, platforms, and technical strategy., • Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation., • Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.2. Build and Evaluate Research Systems, • Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks., • Train, test, and evaluate models using modern AI and machine learning tools., • Analyze results carefully and draw clear, evidence-based conclusions., • Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation., • Iterate quickly from early hypothesis through validated technical insight.3. Translate Research into Practical Impact, • Collaborate closely with Research, Engineering, Product, and Operations teams., • Translate research findings into improvements for Turing's products, platforms, and AI capabilities., • Help identify which ideas are ready to move from exploration into scalable, real-world applications., • Communicate technical findings clearly to both specialized and cross-functional audiences.4. Contribute to the Research Community, • Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate., • Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration., • Represent Turing thoughtfully within the broader AI research community.What We're Looking For, • Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered., • Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling., • Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks., • Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment., • Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making., • Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing • Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design., • Build datasets and environments that directly improve the capabilities of advanced AI systems., • Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks., • Apply frontier AI innovations to high-value enterprise workflows., • Operate with high autonomy, rapid iteration, and meaningful commercial impact., • Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies., • Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value., • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection, • We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.Advantages of joining Turing, • Work at the frontier of AI, helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks., • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS., • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges., • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies., • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

Job DescriptionCompany Description At Bulletproof, we craft products to awaken the potential in every coffee afficionado. And we strive to help them transform and build confidence to own tomorrow. We pioneered a category that fused wellness and performance, and we believe now is the time to reclaim our place as one of the most recognizable, talked-about, and culture-shaping brands in health and nutrition. We are a passionate, entrepreneurial team building products that deliver measurable performance — from pure, clean coffee to functional mix-ins. We’re distributed across eCommerce, Amazon, and retail partners nationwide, with a mission rooted in sustainability, high standards of product quality, and consumer trust. Bulletproof is backed by Grupo Mariposa, one of the fastest growing food and beverage conglomerates in Latin-America and part of Bia Foods, a nourishing alliance – talent, companies, partners and brands connected to grow. Together, we’re expanding our reach while staying true to what matters: quality you can trust, benefits you can feel, and a daily routine that supports balance in body and mind. At Bulletproof 360, Inc. (“Bulletproof”), we welcome candidates with different backgrounds and perspectives. We value and trust each other – including our differences – while remaining true to our mission of improving lives. We encourage a corporate culture of self-expression, asking everyone to be authentic to themselves. Our team brings together their unique perspectives, experiences, and passions in the work they do because we believe diversity makes us stronger, together. Bulletproof aims to create a workplace that celebrates the diversity of our team at all levels of the workforce without regard to age, race, color, sex, national origin, religion, sexual orientation, veteran status, gender identity and/or expression, disability or any other laws. We strive to take steps in our recruiting practices by promoting diversity and fostering inclusion throughout our interview and hiring process, working toward the goal of a diverse and inclusive workforce. Job Description Bulletproof is engaging a Shopify Ecommerce Specialist as an independent contractor to execute ecommerce build, merchandising and quality assurance work on Bulletproof.com for a defined term of approximately five months. This is a deliverable-based engagement. Bulletproof defines the deliverables, acceptance criteria and deadlines. The contractor determines the methods, means and schedule for completing the work. The contractor works primarily in Shopify, Slack, Wrike and Zoom with supporting work in WordPress. The volume of work in this scope is expected to require full-time capacity for the duration of the term. Candidates should be able to commit accordingly. This engagement suits an experienced Shopify practitioner who works independently, builds cleanly, and has strong quality assurance discipline. Depending on business need at the end of the term, this engagement may lead to consideration for a full-time employee role at Bulletproof. Conversion is not guaranteed. Additional Information: • Hourly contract rate: $35-$40/hour, • Contract duration: 5 months; not expected to extend past 5 months, • Weekly hours: 30-40 hours per week, planned to start ASAP., • This is a fully remote contract role; candidates can be located anywhere within the United States. Key Responsibilities: • Shopify Build and Configuration, • Build and configure new product pages in the development environment, including imagery, alt text, descriptions, above-the-fold content, specifications, ingredients and nutrition information, and FAQs. This may or not may not require HTML or CSS knowledge depending on the module., • Build and configure landing pages and campaign pages, as well as update current pages, • Create and configure collections, product organization and merchandising, • Configure and maintain metafields and metaobjects, • Update menus and site navigation, • Manage product redirects, discontinued products and URL structure, • Move completed builds from the development environment to production, • Upload videos and/or photos to Shop App storefront, • Manage Agentic storefront by adding in custom questions to Knowledge Base, • Product Launch Execution, • Execute the Shopify build steps for each new product launch against the launch calendar, • Organize creative assets and SKU information supplied by Bulletproof teams, • Complete quality assurance on every component prior to launch, • Support issue resolution in the period immediately following each launch, • Promotion Configuration and QA, • Configure automatic discounts, coupon codes, gifts with purchase and subscription promotions with and without native Shopify functionality, • Build supporting on-site marketing assets for the promotion or drive period, HTML and CSS required, • Build promotional landing pages, • Deploy and QA promotions in development, then verify in production, • Verify promotional accuracy against the promotional calendar supplied by Bulletproof, • Merchandising Execution, • Homepage, collection and product merchandising updates, • Featured product placement and product recommendation configuration, • Seasonal and campaign merchandising updates, • Navigation and site architecture updates as specified, • SEO and Content Implementation, • Implement on-page SEO recommendations supplied by Bulletproof and its SEO agency, • Update product descriptions, collection copy and metadata, • Manage canonicals and internal linking, • Build SEO-optimized landing pages, • Publish and update WordPress articles, • Quality Assurance and Documentation, • Quality assurance across all builds, promotions, merchandising changes and production deployments within this scope, • Document defects and retest completed work before launch, • Produce written standard operating procedures for the recurring build processes in this scope Qualifications • Three or more years building and administering Shopify stores, including Shopify Plus, • Hands-on proficiency with HTML and CSS, • Demonstrated experience building product pages, landing pages, collections and custom templates, • Experience configuring Shopify discounts and promotions, including gifts with purchase, • Working knowledge of metafields, metaobjects and Shopify Markets, • Experience implementing on-page SEO, structured data and schema markup, • WordPress publishing experience, • Familiarity with Wrike, Slack and Zoom or a comparable project management tool, • Strong quality assurance discipline and exceptional attention to detail, • Proven ability to work independently against defined deliverables and deadlines in a fully remote setting, • Ability to multitask and change work flows throughout the day, • Portfolio or references demonstrating comparable Shopify build work, • Direct-response marketing mindset, • Preferred Qualifications, • Experience with Skio or a comparable Shopify subscription application, • Experience in consumer packaged goods, food and beverage, or supplements, • Experience working alongside external creative or growth agencies Additional Information All your information will be kept confidential according to EEO guidelines. Grupo Mariposa's mission is to nurture growth and foster sustainability within the global food and beverage industry. We are committed to excellence through disciplined management, innovative practices and dynamic culture that embraces change. Grupo Mariposa is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job DescriptionAbout Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com. The Role Turing is seeking exceptional Research Scientists to join our research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier evaluation, synthetic data, hallucination and reliability, and agentic science. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them. What You'll Do Frontier benchmarks and evaluation • Identify high-impact gaps in existing benchmark and evaluation literature., • Design novel benchmarks in and across STEM fields and on general model functionality., • Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks., • Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies., • Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models.Synthetic data and post-training, • Develop methods for generating high-quality synthetic STEM training data., • Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance., • Explore methods for generating useful training signal in domains where expert human data is scarce or expensive., • Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume.Hallucination, reliability, and verification, • Study hallucination, uncertainty, calibration, and epistemic failure in technical domains., • Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention., • Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know.Agentic science, • Research AI systems capable of performing extended scientific and technical work., • Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning., • Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research., • Explore new approaches to human-AI and multi-agent scientific collaboration.New research directions The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities. What We're Looking For • PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field., • Demonstrated ability to formulate and execute original research., • Strong understanding of modern LLMs and the frontier AI research landscape., • Excellent experimental design, quantitative reasoning, and scientific judgment., • Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas., • Strong Python skills and the ability to independently build research prototypes and evaluation pipelines., • Excellent technical writing and communication., • Comfort working in a fast-moving environment where the research agenda evolves with the frontier. A strong publication record is valuable, but we care most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing • Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design., • Build datasets and environments that directly improve the capabilities of advanced AI systems., • Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks., • Apply frontier AI innovations to high-value enterprise workflows., • Operate with high autonomy, rapid iteration, and meaningful commercial impact., • Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies., • Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value., • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection, • We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.Advantages of joining Turing, • Work at the frontier of AI, helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks., • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS., • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges., • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies., • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

Job Description About Us: Pacvue is the leading Commerce Media OS, powering over $12B in advertising spend across 100+ global retail media networks including Amazon, Walmart, Target, Kroger, Instacart, Criteo, and CitrusAd. Powered by industry-leading AI and real-time data, Pacvue enables over 70,000 brands and agencies to maximize advertising performance, drive incrementality, and expand reach across the commerce universe from a single mission control. As of 2025, Pacvue powers 12% of total retail media ad spend worldwide excluding China. Combined with Helium 10's SMB solutions, Pacvue delivers the industry's most comprehensive platform for businesses of all sizes. At Pacvue and Helium 10, great careers don't just happen — they're built. Here, you'll rise as an industry leader, push the boundaries of innovation, own your journey, and thrive as part of an inclusive global community that's redefining the future of commerce. About the role: We are looking for a client-centric leader and retail media strategist with a proven track record of demonstrating ownership, building advertising strategies, and delivering results. The ideal candidate owns the full strategic relationship with their clients and leads a team of account management professionals, using Pacvue's platform and data to drive growth, surface opportunities clients might otherwise miss, and set the advertising strategy that guides execution across retail media platforms. Candidates must have a passion for retail media, creative problem-solving, and a "learn and be curious" mindset. This position requires strong communication skills in order to gain alignment with senior leaders in pursuit of solutions to complex business problems, and at times will require hands-on execution of media across various retail media platforms. Day to day, this includes overseeing paid search and display media strategies for various retailers, providing annual and ongoing budget recommendations to help clients achieve their business objectives, designing and highlighting operational KPIs or opportunities that impact advertising effectiveness, and developing the people on your team. This team owns some of our most complex and highest-value accounts, spanning both enterprise brands and agency-managed clients. Responsibilities: • Fully own the strategic client relationship by providing best in class account management, building trust and transparency with enterprise brands and agencies, and delivering results against joint business objectives, serving as a trusted advisor to client stakeholders up to executive leadership, • Lead, manage, and develop a team of account management professionals to deliver against clients' business objectives, including coaching, performance feedback, and career development, • Develop strategic growth plans for complex, multi-retailer accounts, gain client alignment, and ensure the team fully executes against the aligned upon approach, • Drive the client test & learn calendar and ensure the team is always bringing new ideas to the client, • Provide strategic oversight of retail media strategies, including paid search and display, to drive traffic, conversion, and organic search ranking improvement, stepping in hands-on when needed, • Develop annual budget recommendations, allocate across campaigns and retailers, and build an annual marketing calendar incorporating key drive periods including relevant macro and micro seasons, new product launches, and client media calendars, • Leverage Pacvue technology to manage budget pacing, communicate with client on trends and pacing, and deliver results within client budget thresholds, • Measure efficacy of the strategy through regular reporting against core retail media KPIs and ad-hoc audits to identify areas for refinement, • Oversee weekly and monthly retail media performance reports, analyze category trends, measure advertising and total sales, identify account trends, and perform competitive benchmarking across the client's product portfolio, • Champion the use of Amazon Marketing Cloud (AMC) and third-party measurement tools to evaluate performance, optimize strategies, and deliver advanced insights to clients, • Highlight incremental sales opportunities to clients through participation in retailer programs, additional promotional opportunities, and retail readiness recommendations to improve operational KPIs, • Maximize retailer share, revenue, and profitability for clients while integrating client's internal objectives such as driving innovation or key items or product lines, • Create strategic retail media plans for new product launches, including recommendations for retail readiness across core KPIs, • Lead executive-level business reviews and strategic presentations with client leadership and Pacvue management, • Serve as a subject matter expert and escalation point for complex client situations, partnering cross-functionally with Product, Sales, and Support teams to drive resolution, • Contribute to the Pacvue product by providing input and recommendations on new features and functionality, and showcase the power of Pacvue's technology by delivering on client objectives and contributing to industry training & education programs, • Act as a leader on the team through knowledge sharing with the broader Pacvue organization, • Identify and champion opportunities to streamline processes and build repeatable workflows, including through the use of AI tools, to improve team efficiency and client outcomes, • Responsible for reporting, analysis and communication with Pacvue and client management teams Skills & Qualifications: • 8+ years of relevant experience in retail media, • Previous enterprise level account management experience is a must, • Previous experience in people management, coaching, and developing others is strongly preferred, • The ideal candidate will be a self-starter, demonstrate ownership, work collaboratively, be transparent, and be action and results oriented, • Proven success managing complex paid search and/or paid display strategies across retail media platforms such as Amazon, Walmart, Target, Instacart, or similar, • Experience working with enterprise brands and agencies to deliver measurable results at scale, • Proven track record in relationship building and managing senior-level client stakeholders, • Proven industry expertise, passion for mentorship, and ability to teach and motivate others, • Demonstrate an in-depth understanding of how the Amazon marketplace and flywheel works, and how retail media, sales, and operations work together; similar knowledge of other retail media network algorithms is a plus, • Expertise in using measurement tools like AMC and third-party platforms to optimize media performance, • Previous product management, project management, financial analysis, and negotiation experience is a plus, • Proven success in driving results and implementing ideas in a fast-paced environment, • Works efficiently and is always looking to streamline processes and workflows, • Excellent organizational, communication, and presentation skills, • Strong analytical skills, and the ability to take large data sets and extract actionable recommendations, are a must, • Experience using AI to expedite or build new workflows (Claude, ChatGPT, etc), • Moderate to advanced Excel and PowerPoint skills are a must Benefits: • Flexible Paid Time Off, • Paid Holidays and Floating Holidays, • Medical, Dental, Vision, FSA, HSA with employer contribution, Life Insurance and Pet Insurance, • 401k with Employer Match, • Take up to 2 Days of Paid Time Off to Volunteer with a 501c Organization, • Paid Parental Leave, • Company-subsidized membership to Wellhub and Peloton, • Fertility and family-building information platform through Carrot The annual base salary range for this position is $140,000-$165,000 USD. The actual salary will vary depending on the applicant's experience, skills, and abilities as well as internal equity and market data for their location. This position is also eligible for an additional annual bonus compensation through one of Pacvue's highly attractive incentive plans, full details will be Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Job DescriptionAbout Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com. The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: • Environments for Software Engineering / coding agents, • UI-Environments for Computer-Use/Browser-Use agents, • MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems • Investigate the capabilities, limitations, and training methods of frontier AI systems., • Formulate research questions that can inform Turing's products, platforms, and technical strategy., • Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation., • Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.2. Build and Evaluate Research Systems, • Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks., • Train, test, and evaluate models using modern AI and machine learning tools., • Analyze results carefully and draw clear, evidence-based conclusions., • Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation., • Iterate quickly from early hypothesis through validated technical insight.3. Translate Research into Practical Impact, • Collaborate closely with Research, Engineering, Product, and Operations teams., • Translate research findings into improvements for Turing's products, platforms, and AI capabilities., • Help identify which ideas are ready to move from exploration into scalable, real-world applications., • Communicate technical findings clearly to both specialized and cross-functional audiences.4. Contribute to the Research Community, • Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate., • Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration., • Represent Turing thoughtfully within the broader AI research community.What We're Looking For, • Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered., • Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling., • Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks., • Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment., • Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making., • Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing • Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design., • Build datasets and environments that directly improve the capabilities of advanced AI systems., • Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks., • Apply frontier AI innovations to high-value enterprise workflows., • Operate with high autonomy, rapid iteration, and meaningful commercial impact., • Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies., • Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value., • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection, • We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.Advantages of joining Turing, • Work at the frontier of AI, helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks., • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS., • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges., • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies., • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

Job DescriptionAbout Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com. The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: • Environments for Software Engineering / coding agents, • UI-Environments for Computer-Use/Browser-Use agents, • MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems • Investigate the capabilities, limitations, and training methods of frontier AI systems., • Formulate research questions that can inform Turing's products, platforms, and technical strategy., • Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation., • Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.2. Build and Evaluate Research Systems, • Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks., • Train, test, and evaluate models using modern AI and machine learning tools., • Analyze results carefully and draw clear, evidence-based conclusions., • Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation., • Iterate quickly from early hypothesis through validated technical insight.3. Translate Research into Practical Impact, • Collaborate closely with Research, Engineering, Product, and Operations teams., • Translate research findings into improvements for Turing's products, platforms, and AI capabilities., • Help identify which ideas are ready to move from exploration into scalable, real-world applications., • Communicate technical findings clearly to both specialized and cross-functional audiences.4. Contribute to the Research Community, • Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate., • Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration., • Represent Turing thoughtfully within the broader AI research community.What We're Looking For, • Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered., • Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling., • Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks., • Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment., • Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making., • Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing • Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design., • Build datasets and environments that directly improve the capabilities of advanced AI systems., • Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks., • Apply frontier AI innovations to high-value enterprise workflows., • Operate with high autonomy, rapid iteration, and meaningful commercial impact., • Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies., • Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value., • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection, • We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.Advantages of joining Turing, • Work at the frontier of AI, helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks., • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS., • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges., • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies., • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

Job DescriptionAbout Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com. The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: • Environments for Software Engineering / coding agents, • UI-Environments for Computer-Use/Browser-Use agents, • MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems • Investigate the capabilities, limitations, and training methods of frontier AI systems., • Formulate research questions that can inform Turing's products, platforms, and technical strategy., • Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation., • Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.2. Build and Evaluate Research Systems, • Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks., • Train, test, and evaluate models using modern AI and machine learning tools., • Analyze results carefully and draw clear, evidence-based conclusions., • Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation., • Iterate quickly from early hypothesis through validated technical insight.3. Translate Research into Practical Impact, • Collaborate closely with Research, Engineering, Product, and Operations teams., • Translate research findings into improvements for Turing's products, platforms, and AI capabilities., • Help identify which ideas are ready to move from exploration into scalable, real-world applications., • Communicate technical findings clearly to both specialized and cross-functional audiences.4. Contribute to the Research Community, • Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate., • Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration., • Represent Turing thoughtfully within the broader AI research community.What We're Looking For, • Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered., • Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling., • Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks., • Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment., • Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making., • Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing • Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design., • Build datasets and environments that directly improve the capabilities of advanced AI systems., • Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks., • Apply frontier AI innovations to high-value enterprise workflows., • Operate with high autonomy, rapid iteration, and meaningful commercial impact., • Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies., • Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value., • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection, • We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.Advantages of joining Turing, • Work at the frontier of AI, helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks., • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS., • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges., • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies., • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

Job DescriptionAbout Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com. The Role Turing is seeking exceptional Research Scientists to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them. What You'll Do Frontier benchmarks and evaluation • Identify high-impact gaps in existing benchmark and evaluation literature., • Design novel benchmarks in and across STEM fields and on general model functionality., • Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks., • Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies., • Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models.Synthetic data and post-training, • Develop methods for generating high-quality synthetic STEM training data., • Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance., • Explore methods for generating useful training signal in domains where expert human data is scarce or expensive., • Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume.Hallucination, reliability, and verification, • Study hallucination, uncertainty, calibration, and epistemic failure in technical domains., • Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention., • Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know.Agentic science, • Research AI systems capable of performing extended scientific and technical work., • Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning., • Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research., • Explore new approaches to human-AI and multi-agent scientific collaboration.New research directions The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities. What We're Looking For • PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field., • Demonstrated ability to formulate and execute original research., • Strong understanding of modern LLMs and the frontier AI research landscape., • Excellent experimental design, quantitative reasoning, and scientific judgment., • Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas., • Strong Python skills and the ability to independently build research prototypes and evaluation pipelines., • Excellent technical writing and communication., • Comfort working in a fast-moving environment where the research agenda evolves with the frontier. A strong publication record is valuable, but we care most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing • Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design., • Build datasets and environments that directly improve the capabilities of advanced AI systems., • Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks., • Apply frontier AI innovations to high-value enterprise workflows., • Operate with high autonomy, rapid iteration, and meaningful commercial impact., • Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies., • Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value., • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection, • We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.Advantages of joining Turing, • Work at the frontier of AI, helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks., • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS., • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges., • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies., • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

Job Description About This Opportunity Judit Inc. is hiring on behalf of one of our largest clients — a global technology leader in consumer electronics, semiconductors, and mobile communications. This is a temporary, contract position: you'll be employed by Judit Inc. and work directly alongside our client's team. The description below is our client's overview of the background, skills, and experience they're looking for. If you meet most — but not all — of these, we still want to hear from you. Your Judit recruiter will walk you through the day-to-day work, schedule, pay, and contract length before anything moves forward. What you'll do You'll own how a leading consumer electronics brand's TVs, audio, and monitors show up and sell on Amazon. In this role, you'll build the go-to-market and channel marketing plans, manage the marketing spend, and shape the full online shopping experience, working with internal teams and an external agency to bring it all to life. • Build and manage channel marketing plans and programs, including go-to-market strategies for Amazon across the brand's visual display categories: TV, Audio, and Monitors, • Execute marketing tactics with precision across every stage of the product lifecycle while keeping the brand consistent, • Own the end-to-end online customer experience journey, • Manage the creation of marketing assets, including digital content, social media campaigns, and promotional materials, delivered on time and to quality standards, • Manage marketing strategy and spend for retail partners, measure campaign effectiveness, and drive results against marketing KPIs, • Partner with internal teams on data collection, research, and insights to define the unique selling points for each retailer, • Monitor campaign performance and recommend specific optimizations, • Coordinate with an external agency to deliver high-quality work on budget and on schedule, • Work with Finance and Procurement to prepare and submit project proposals through the internal bid management system, with accurate documentation aligned to budget and operational requirements, • Work well as part of a team, sometimes with limited direction, • Other duties as assigned What you'll bring • Bachelor's degree in Marketing, Communications, or a related field, • 6+ years of experience in creative marketing or a similar role, • Deep social and digital marketing expertise, including running and optimizing PPC and display ads, • Advanced Microsoft Office skills (Word, Excel, PowerPoint, Outlook), • Clear written communication (including PowerPoint presentations) and confident verbal communication, • The ability to work independently and as part of a team to meet personal and team goals, completing assignments on or ahead of schedule Nice to have • Experience in consumer electronics and with Amazon Ads, • Knowledge of SEO/SEM and social media advertising strategies, • Proficiency in Adobe Creative Suite and other design software, • Analytical skills to interpret data and guide decisions, • Experience managing cross-functional teams or external vendors, • Presentation skills

Job DescriptionCLIENT HIGHLIGHT The client you will be working for is a Top 20 Fortune Global 500 Consumer Electronics and Technology Company. This opportunity will give you experience in the technology sector in the United States with a company that is a globally recognized leader in smartphones, televisions, home appliances, and semiconductor innovation — and one of the most well-known brands in the world. LOCATION Bellevue, WA 98004 COMPENSATION $61.50/hr SCHEDULE On-site Monday-Friday // 40 hrs/wk CONTRACT TERM 6 month contract with high likelihood of extension/conversion to full time employee POSITION OVERVIEW – Channel Marketing Manager- Amazon & Retail- The main function of a channel marketing manager is to lead the research of market conditions in local, regional, or national areas to determine potential sales of a product or service. A typical marketing manager is responsible for gathering information on competitors and methods of marketing and distribution. RESPONSIBILITIES • Formulate and manage channel marketing plans and programs, including formulate Go-To-Market strategies for Amazon across all of client's Visual Display product categories: TV, Audio and Monitors., • Execute marketing tactics flawlessly during all product lifecycle elements while ensuring brand consistency., • Responsible for the end-to-end online customer experience journey., • Manage the creation of marketing assets, including digital content, social media campaigns, and promotional materials, ensuring timely delivery and adherence to quality standards, • Manage marketing strategy and spend for retail partners, evaluating campaign effectiveness while driving attainment of various marketing KPIs., • Work with various internal teams to conduct data collections, research and insight creation to identify unique selling points for each retailer., • Monitor campaign performance and provide actionable recommendations for optimization., • Coordinate with external agency to ensure high-quality deliverables within budget and timeline constraints., • Collaborate with the finance and procurement teams to prepare and submit project proposals through the internal bid management system, ensuring all documentation is accurate and aligned with budgetary and operational requirements., • Work effectively in a team environment, at times with a limited amount of direction., • Other duties as assigned. REQUIRED SKILLS • Bachelor's degree in Marketing, Communications, or a related field., • A minimum of 6 years of experience in creative marketing or a similar role., • Strong Social and Digital expertise – including mastery and optimization of tactics like PPC, Display Ads, • Excellent Microsoft office skills, including Word, Excel, PowerPoint, Outlook, • Strong communication, both written (PPT presentations) and oral skills, • The ability to work both alone or in a team environment to achieve personal and team project goals, including the completion of assignments within and exceeding established time frames. PREFERRED QUALIFICATIONS • Experience in the consumer electronics and Amazon Ads., • Knowledge of SEO/SEM and social media advertising strategies., • Proficiency in Adobe Creative Suite and other design software., • Strong analytical skills with the ability to interpret data and drive decision-making., • Experience managing cross-functional teams or external vendors., • Excellent communication and presentation skills.

Job DescriptionAbout Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com. The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: • Environments for Software Engineering / coding agents, • UI-Environments for Computer-Use/Browser-Use agents, • MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems • Investigate the capabilities, limitations, and training methods of frontier AI systems., • Formulate research questions that can inform Turing's products, platforms, and technical strategy., • Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation., • Stay current with advances in machine learning and identify opportunities for meaningful technical contribution.2. Build and Evaluate Research Systems, • Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks., • Train, test, and evaluate models using modern AI and machine learning tools., • Analyze results carefully and draw clear, evidence-based conclusions., • Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation., • Iterate quickly from early hypothesis through validated technical insight.3. Translate Research into Practical Impact, • Collaborate closely with Research, Engineering, Product, and Operations teams., • Translate research findings into improvements for Turing's products, platforms, and AI capabilities., • Help identify which ideas are ready to move from exploration into scalable, real-world applications., • Communicate technical findings clearly to both specialized and cross-functional audiences.4. Contribute to the Research Community, • Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate., • Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration., • Represent Turing thoughtfully within the broader AI research community.What We're Looking For, • Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered., • Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling., • Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks., • Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment., • Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making., • Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams.A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing • Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design., • Build datasets and environments that directly improve the capabilities of advanced AI systems., • Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks., • Apply frontier AI innovations to high-value enterprise workflows., • Operate with high autonomy, rapid iteration, and meaningful commercial impact., • Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies., • Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value., • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection, • We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.Advantages of joining Turing, • Work at the frontier of AI, helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks., • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS., • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges., • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies., • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

Job DescriptionAbout Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com. The Role Turing is seeking exceptional AI Research Scientists to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science. We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them. What You'll Do Frontier benchmarks and evaluation • Identify high-impact gaps in existing benchmark and evaluation literature., • Design novel benchmarks in and across STEM fields and on general model functionality., • Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks., • Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies., • Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models.Synthetic data and post-training, • Develop methods for generating high-quality synthetic STEM training data., • Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance., • Explore methods for generating useful training signal in domains where expert human data is scarce or expensive., • Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume.Hallucination, reliability, and verification, • Study hallucination, uncertainty, calibration, and epistemic failure in technical domains., • Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention., • Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know.Agentic science, • Research AI systems capable of performing extended scientific and technical work., • Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning., • Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research., • Explore new approaches to human-AI and multi-agent scientific collaboration.New research directions The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities. What We're Looking For • PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field., • Demonstrated ability to formulate and execute original research., • Strong understanding of modern LLMs and the frontier AI research landscape., • Excellent experimental design, quantitative reasoning, and scientific judgment., • Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas., • Strong Python skills and the ability to independently build research prototypes and evaluation pipelines., • Excellent technical writing and communication., • Comfort working in a fast-moving environment where the research agenda evolves with the frontier. A strong publication record is valuable, but we care most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing • Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design., • Build datasets and environments that directly improve the capabilities of advanced AI systems., • Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks., • Apply frontier AI innovations to high-value enterprise workflows., • Operate with high autonomy, rapid iteration, and meaningful commercial impact., • Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies., • Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $150,000 to $300,000 OTE + Equity Values • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value., • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection, • We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.Advantages of joining Turing, • Work at the frontier of AI, helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks., • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS., • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges., • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies., • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

Job Description Storm Reply is an AWS Premier Consulting Partner and the specialist for professional cloud computing services in the Reply network. Through consolidated expertise and many years of experience in the creation and management of Data and Analytics solutions, Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS), Storm Reply supports global clients in the implementation of cloud-based systems and applications. Our goal is to use AWS to create added value for mid-sized and large companies and to help them exploit the full potential of the cloud. As an Amazon Connect Lead / Senior Delivery Consultant, you will collaborate with Storm Reply resources and clients to derive, develop and deliver business and technology solutions and service offerings using the latest AWS CX-oriented technology. You will collaborate with project and program managers, providing them with the necessary support and tools to ensure successful project execution in alignment with strategic objectives and client expectations. You will deliver industry-leading work. Responsibilities -Design, develop and deliver business and technology solutions using Amazon Web Services products, services and platform offerings -Collaborate with clients to determine how to best resolve client business and technology challenges -Use Storm, Reply and industry best practices to deliver client solutions effectively and in a quality-focused manner -Engage AWS partner resources where necessary and applicable to demonstrate capabilities of AWS platforms, products and services in client pursuits, AWS industry events and client engagements -Participate in the Storm Reply business development activities including but not limited to, client meetings, solution development, proposal / Statement-of-Work writing, client and project management as necessary to meet Storm Reply, AWS and Client business objectives -Maintain AWS certification in one or more areas as a certified AWS Solution Architect or similar (as provided by AWS Certification and Training) -Maintain working up-to-date knowledge of AWS products and services available to customers and their general uses -Work independently and in client-facing roles as needed to support Storm Reply and client businesses Minimum Requirements -Current AWS Certification as Solution Architect - Associate or similar -Three (3) years up to and including current hands-on experience implementing AWS-based solutions in client environments -Demonstrated Amazon Connect solution design and engineering expertise -Demonstrated DevSecOps experience on AWS with AWS and/or industry-standard tools including AWS CloudFormation and AWS Lambda -Demonstrated work in Agile™ development environments, working knowledge of Scrum™, Agile™ ceremonies, planning activities and project cadence Preferred Qualifications -AWS Solution Architect Professional Certification -Experience with AWS Cloud Adoption Framework (CAF), AWS Well-Architected Program, AWS Migration Acceleration Program (MAP), other AWS partner programs -Demonstrated experience in delivered client projects in one or more AWS platforms such as but not necessarily limited to: Amazon Connect, AWS Location Services, AWS Braket, Amazon Sagemaker, Amazon Bedrock, Amazon Q/Quick, Amazon Lightsail, Amazon Pinpoint, Amazon Supply Chain, AWS Outposts, AWS IoT, AWS CloudFormation, AWS EKS, AWS Elemental/Media Services, Amazon API Gateway, AWS Managed Blockchain, Amazon RedShift, Amazon Amplify, Amazon Code Development tools -Bachelors Degree in Computer Science, Digital Technology or related field -Consulting industry experience -Industry-specific experience in one ore more of the following industries: manufacturing, automotive, financial services, healthcare, retail/consumer package goods, power and utilities, education and/or public sector About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. The base compensation range for this full-time position is between $150,000 - $175,000 (may go higher) plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process. Reply is an equal-opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Join the team behind iconic brands like Huggies®, Kleenex®, Cottonelle®, Scott®, Kotex®, Poise®, Depend®, and Kimberly-Clark Professional® At Kimberly-Clark, it’s all here for you—innovation, growth, and the chance to make a real impact. You’re not the person who will settle for just any role. Neither are we. Because we’re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you’ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In this role, you’ll help us deliver better care for billions of people around the world. It starts with YOU. Lead strategic marketing planning and execution to drive holistic demand creation across the Feminine Care and Child Care Amazon business, integrating retail media, organic levers, and enterprise media partnerships to both create and capture demand. Own demand creation on Amazon, influencing shoppers across the full path to purchase and ensuring a cohesive, full‑funnel approach. Provide marketing and consumer expertise to support the development of integrated business plans that efficiently deliver volume, share, and profit objectives. Strengthen strategic partnership with Amazon by aligning brand imperatives to customer business models and delivering actionable insights and thought leadership. About You In one of our professional roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. Job responsibilities include: • Lead cross‑functional collaboration across Brand, Enterprise Media, Media Analytics, Customer Teams, agencies, and Amazon Advertising to deliver holistic demand creation strategies., • Actively participate in Digital Pods to drive cross‑functional objectives, accelerate decision‑making, and ensure coordinated execution across media, content, and commerce., • Develop insight‑led, full‑funnel programs that integrate retail media, organic levers (Brand Stores, PDPs, content), and enterprise media partnerships to create and capture demand across the Amazon ecosystem., • Partner with agencies and Amazon Advertising to design, activate, and optimize strategies that ladder to brand and customer objectives., • Build and scale a strong test‑and‑learn culture by defining customer‑specific learning agendas, executing experiments, and applying data‑driven insights to continuously improve performance., • Lead annual Amazon marketing strategy, plan, and budget development; strategically allocate investment to balance demand creation and demand capture while delivering volume, share, and profit targets., • Own 360 launch go-to-market demand plans across Feminine Care and Child Care to drive sustainable growth and support brand equity., • Serve as the primary customer contact for demand creation, insights, and joint business planning, strengthening partnerships through collaborative programs and shared growth initiatives., • Provide Digital Commerce leadership and strategic thought partnership within the broader marketing organization, delivering clear POVs, actionable insights, and recommendations to inform enterprise decision‑making., • Own on‑site retail media, affiliate, and organic demand levers, and collaborate with social, national, and video teams to ensure cohesive full‑funnel strategies and a seamless end‑to‑end customer journey into Amazon., • Set optimization and measurement direction for demand creation efforts, defining success metrics, learning agendas, and decision frameworks; partner with analytics and agency teams to interpret performance reporting and translate insights into clear optimization actions and strategic recommendations. To succeed in this role, you will need the following qualifications: • 5+ years’ experience in consumer promotion, field sales and marketing., • Experience should include consumer packaged goods (CPG) industry., • Minimum 1+ years experience in Amazon or performance media, ideally with budgets $10M+ Preferred (not essential, but desired): • Master’s degree or MBA is preferred., • Experience working with large retail accounts is preferred. Led by Purpose. Driven by You. Total Benefits We believe that our employees are our greatest asset, and we're committed to providing them with the resources they need to be successful. If you're looking for a rewarding career with a company that cares about its employees, then Kimberly-Clark is the place for you. Here are just a few of the benefits you’d enjoy working in this role for Kimberly-Clark. For a complete overview, see _ Flex That Works at Kimberly-Clark We believe great work happens when people come together with purpose. That’s why we offer a flexible work model that blends remote work with intentional in-person collaboration — helping you connect, grow, and innovate while maintaining the balance you value. To Be Considered Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role. In the meantime, please check out the _. And finally, the fine print…. For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world, which is why we seek to build a workforce that encompasses the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law. The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. Salary Range: 140,320 – 173,360 USD At Kimberly-Clark, pay is just one aspect of our total rewards package, which also includes a variety of benefits and opportunities to achieve, thrive and grow. Along with base pay, this position offers eligibility for a target bonus and a comprehensive benefits suite, including our 401(k) and Profit Sharing plan. The anticipated base pay range for this role is provided above for a fully qualified hire. Actual pay will depend on several factors, such as location, role, skills, performance, and experience. Please note that the stated pay range applies to US locations only. Employment is subject to verification of local policies. Employment is subject to verification of pre-screening tests which may include drug screening, background check, and DMV check. Veterans and members of the Reserve and Guard are highly encouraged to apply. Kimberly-Clark will support in-country relocation for the chosen candidate for the role. The benefits provided will be per the terms of Kimberly-Clark’s applicable mobility policies. The benefits/policy provided will be decided at Kimberly-Clark’s sole discretion.

Description Please note that this posting is for a contract assignment and is not a full-time employment opportunity with Amazon. Candidates selected for roles will be employed as contract workers through Amazon’s approved 3rd party Direct Source provider for the duration of the specified project and will not be an employee of Amazon. Amazon Manufacturing Services is an internal Amazon service specializing in the production of high-quality components through additive manufacturing (3D printing), CNC machining, welding, sheet metal fabrication, powder coating, and assembly. We serve design engineers, product developers, operations engineers, and retail product concept testing teams across Amazon. About the Role AMS seeks a second shift CNC Setup Machinist to perform advanced machine setups, write and modify CNC programs, and operate CNC machines to produce precision machined parts. You will set up machines for production runs, optimize programs, troubleshoot technical issues, and ensure high-quality machined components. This role requires strong technical expertise, CNC programming skills, and the ability to work independently with minimal supervision. Key Responsibilities Advanced Machine Setup and Operation • Set up, load, and operate CNC machines according to job specifications, • Perform complex machine setups for production runs, • Set up fixturing using standard fixture hardware, • Design custom fixtures for specialized machining operations, • Calibrate machines and verify setup accuracy before production, • Operate equipment and monitor production to ensure quality and efficiency, • Perform first article inspections and verify dimensional accuracy CNC Programming and Optimization • Write and modify CNC programs using G-code or CAM software, • Read and interpret engineering drawings and blueprints to ensure accurate machining, • Optimize cutting parameters, feed rates, and tool paths to improve cycle times, • Troubleshoot programming errors and make real-time adjustments, • Work with the team on keeping machine templates up to date, • Maintain a clean digital file archive Technical Problem-Solving and Optimization • Monitor machine operations to detect and address any issues or deviations, • Troubleshoot machine issues and programming errors, • Identify and resolve quality problems related to setup and operation, • Make real-time adjustments to programs and machine parameters, • Recommend process improvements to reduce setup time and increase throughput Quality Control and Inspection • Conduct quality checks and measurements to ensure parts meet required specifications, • Verify parts meet engineering drawings and GD&T specifications using precision measuring equipment, • Use measuring equipment including calipers, micrometers, and other inspection tools, • Perform in-process inspections and quality verification, • Document quality issues and work with quality team on corrective actions Equipment Maintenance and Care • Perform routine maintenance on CNC machines to ensure optimal performance, • Diagnose and troubleshoot mechanical and electrical issues, • Replace cutting tools and consumables as needed, • Maintain equipment calibration and accuracy, • Coordinate with maintenance team on major repairs and upgrades, • Keep detailed maintenance logs and equipment records Mentorship and Training • Provide guidance to CNC Operators on machine operation and troubleshooting, • Share technical knowledge and process improvements with team members, • Support continuous improvement culture through knowledge transfer, • Willingness to learn and take direction from experienced machinists Work Area Organization • Maintain a clean and organized work area, • Enforce 5S standards in machining area, • Organize tools, fixtures, and materials efficiently, • Maintain digital file organization and documentation Qualifications Required • High school diploma or equivalent, • 5+ years of CNC machine operation and programming experience (industry or technical college experience acceptable), • Strong knowledge of G-code and CAM software, • Strong attention to detail and precision, • Ability to read and interpret technical drawings and GD&T, • Mechanical aptitude and problem-solving skills, • Strong verbal and written communication skills, • Ability to set up fixturing using standard fixture hardware, • Ability to design custom fixtures, • Experience with Microsoft Word and Excel, • Willingness to learn and take direction from experienced machinists Preferred • 7+ years of CNC machining experience in a manufacturing environment, • Technical certification or associate degree in machining or related field, • Advanced knowledge of GD&T (Geometric Dimensioning and Tolerancing), • Experience with CAM software (Mastercam, ESPRIT, or similar), • Experience with multiple CNC machine types (mills, lathes, multi-axis), • Experience in contract manufacturing or high-mix production environments, • Knowledge of fixture design and tooling optimization, • Six Sigma or Lean manufacturing training, • Forklift certification Success Profile • High attention to detail with commitment to quality and precision, • Strong technical problem-solving skills with hands-on approach, • Self-starter with ability to work independently and make sound decisions, • Safety-focused with adherence to protocols and procedures, • Excellent mechanical aptitude and troubleshooting ability, • Team player with collaborative mindset and willingness to mentor others, • Adaptable with ability to handle changing priorities and complex setups, • Process improvement orientation with focus on reducing setup time, • Quality-focused with pride in workmanship, • Bias for action with focus on meeting production deadlines This posting is for a contract assignment with Tundra Technical Solutions to provide services to Amazon. The pay range that Tundra in good faith reasonably expects to pay for this position is $36.00/hour - $40.00/hour. Tundra’s benefits offering includes optional medical, dental, vision, retirement benefits, and a New Child Benefit. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

Job Description Sevan Multi-Site Solutions is a veteran-owned business that provides construction, program management, real estate & site development, and architecture & engineering services for restaurant, grocery, fuel and convenience store, retail, and government sectors nationwide. We work with leading brands like McDonald’s, Sprouts, Walmart, and Amazon to name a few. At Sevan, we provide the talent, technology, and trusted expertise needed to consistently deliver excellence in multi-site construction. Sevan is nationally recognized for workplace culture, industry leadership, and safety. Recent honors include 12 consecutive years as a Great Place to Work®, placement on ENR's national Program and Construction Management rankings, recognition as one of America's Safest Companies for 2025, and the 2025 Platinum HIRE Vets Medallion Award. Summary: Sevan is seeking an experienced General Superintendent to lead the development, assessment, and deployment of our Superintendent workforce nationwide. This role works closely with Superintendents and Assistant Superintendents in the field, providing technical guidance, coaching, and development to strengthen field leadership and drive consistent construction practices across projects. Ideally based in the Tacoma, WA, area, the General Superintendent will travel approximately 50% nationwide to visit jobsites, develop field talent, and provide technical expertise. Relocation assistance may be available for candidates interested in moving to the Tacoma area, and qualified remote-based candidates will also be considered. The role partners with Operations Directors and Project Executives on Superintendent hiring, staffing assignments, project transitions, and future workforce needs. Essential Duties and Responsibilities: • Assess, coach, and develop Superintendents and Assistant Superintendents across technical execution, planning, leadership, communication, safety, quality, and documentation., • Conduct jobsite evaluations, identify development needs, establish performance expectations, and help prepare field leaders for increasingly complex assignments., • Develop and deliver onboarding, technical training, and continuing education based on field needs and lessons learned., • Partner with recruiting and operations leaders to identify, interview, evaluate, and hire qualified Superintendent talent., • Coordinate Superintendent assignments and project transitions, matching field talent with project requirements and development opportunities., • Maintain visibility into current assignments and future staffing needs, identifying potential gaps and recommending hiring or resource adjustments., • Serve as a technical resource on construction methods, sequencing, site logistics, inspections, documentation, closeout, and requirements across private and public-sector construction., • Build strong relationships with clients, project teams, subcontractors, suppliers, and operations leaders while promoting quality and consistent execution. Qualifications: • 10+ years of construction field experience, including at least 5 years as a Senior Superintendent or comparable field leader., • Demonstrated experience recruiting, evaluating, mentoring, and developing construction field leaders., • Strong knowledge of construction methods, drawings and specifications, scheduling, safety, quality control, and field documentation., • Experience working across multiple projects or with geographically dispersed teams preferred., • Familiarity with local, state, and federal construction requirements; experience with occupied-facility renovations, three-phase quality control, and formal inspection hold points preferred., • Strong communication, organization, leadership, and relationship-building skills., • Proficiency in Microsoft Office Suite, Procore, and scheduling software such as MS Project or Primavera P6., • OSHA 30 and First Aid/CPR certifications required or ability to obtain; state/local General Contractor license and LEED accreditation or familiarity with sustainable construction practices preferred., • High school diploma or equivalent required; bachelor’s degree in Construction Management, Engineering, or a related field preferred. Why Join Sevan? This is an opportunity to take your field leadership experience beyond a single project and have an impact across Sevan’s national construction portfolio. You’ll help develop the next generation of field leaders, influence how Superintendent talent is deployed across projects, and serve as a trusted technical resource to our construction teams. At Sevan you'll also: • Live Our Values: Join a company that values integrity, respect, teamwork, excellence, and charity. These principles are at the heart of everything we do., • Champion Key Initiatives: Play a vital role in driving Sevan-wide initiatives like Safety and Sustainability, ensuring positive impacts for our people and the planet., • Inspire and Lead: Help us bring our vision to life by embracing our commitment to Service, Talent, and Choices—you’ll have a voice in shaping the future., • Set the Standard: Be a role model for professional behavior, fostering a workplace culture that motivates and inspires others., • Grow With Us: Take charge of your personal and professional growth through hands-on experience, engaging training programs, and opportunities to mentor interns and co-ops., • Support Development of Top Brands: Opportunity to work behind the scenes supporting efforts for industry leaders like McDonald’s, Starbucks, and 7-Eleven. Pay & Benefits: The anticipated compensation range for the position is $150,000 to 180,000, is based on a full-time schedule, market and business conditions, and is commensurate on individual education, qualifications, and experience. Benefits include medical, dental, vision, life, and disability insurances, flexible paid time off, paid holidays, sick time, and a matching 401K plan. Work Conditions & Travel: This is an office-based position in Tacoma, Washington, requiring approximately 50% nationwide travel, including regular visits to active construction sites. The role requires the ability to manage multiple priorities and work independently across geographically dispersed projects. Occasional multi-shift work may be required. Sevan Multi-Site Solutions, Inc. is proud to be an equal opportunity employer committed to a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, genetics, disability, pregnancy, veteran status or any other basis protected by law.

Job Description About Us: Pacvue is the leading Commerce Media OS, powering over $12B in advertising spend across 100+ global retail media networks including Amazon, Walmart, Target, Kroger, Instacart, Criteo, and CitrusAd. Powered by industry-leading AI and real-time data, Pacvue enables over 70,000 brands and agencies to maximize advertising performance, drive incrementality, and expand reach across the commerce universe from a single mission control. As of 2025, Pacvue powers 12% of total retail media ad spend worldwide excluding China. Combined with Helium 10's SMB solutions, Pacvue delivers the industry's most comprehensive platform for businesses of all sizes. At Pacvue and Helium 10, great careers don't just happen — they're built. Here, you'll rise as an industry leader, push the boundaries of innovation, own your journey, and thrive as part of an inclusive global community that's redefining the future of commerce. About the Role: The Senior Customer Success Manager has the opportunity to build meaningful relationships while managing an assigned book of Pacvue's enterprise clients. Liaising with internal departments, you will be our clients' key point of contact, addressing and resolving their issues, while benefiting from the support of our dedicated Customer Success, Account Management, Product, and Engineering teams. The successful candidate will utilize their tremendous client management acumen to produce successful outcomes in a deadline-driven environment. With our expanding department and new CS initiatives, the ideal candidate will contribute to the development and improvement of internal processes and workflows in collaboration with the broader team. Responsibilities: • Make customers successful by providing high quality technical support and service. Become a true trusted consultant to hands on key teams for all things Pacvue enablement, • Foster account growth/expansion via new products and markets by developing and executing account plans, using judgment to identify new opportunities., • Independently own broader account strategy development for priority accounts, partnering with senior team members only at key milestones for review and alignment., • Act as the escalation point for client issues, independently resolving matters using judgment and precedent, looping in leadership only on critical, business-wide risks., • Bring complete mastery of the Pacvue platform and retail media landscape, serving as a go-to resource for teammates on platform and industry questions., • Collaborate with the Pacvue Training and Education team to build out content for product onboarding and education., • Identify process improvement opportunities and collaborate with the team to enhance current workflows., • Educate users on latest SaaS platform features., • Address technical issues relating to software function and upgrades., • Share client feedback and insights with the R&D team to help inform feature enhancements., • Create product reports and recreate errors for documentation and communication with developers. Skills & Qualifications: • Typically 5+ years of digital/search advertising and platform experience, demonstrating complete mastery of the specialization, • 2+ years experience in any of the following ecommerce advertising platforms: Amazon, Walmart, Instacart, Pacvue, Criteo or CitrusAds (experience with Pacvue strongly preferred), • Familiarity with Amazon DSP, Amazon Marketing Cloud, and other display offerings in retail media a strong plus, • Experience with social commerce platforms, like TikTok, a plus, • Customer success, consulting service or pre-sales experience and expertise a plus, • Great interpersonal skills, team player and customer service focused attitude, • High threshold for working in an ambiguous, fast paced environment start-up like environment - figuring it out and adapting as you go, • Ability to operate simultaneously and effectively in both tactical and strategic modes, • Strong analytical skills, • Moderate Excel skills Benefits: • Flexible Paid Time Off, • Paid Holidays and Floating Holidays, • Medical, Dental, Vision, FSA, HSA with employer contribution, Life Insurance and Pet Insurance, • 401k with Employer Match, • Take up to 2 Days of Paid Time Off to Volunteer with a 501c Organization, • Paid Parental Leave, • Company-subsidized membership to Wellhub and Peloton, • Fertility and family-building information platform through Carrot The annual base salary range for this position is $90,000-$110,000. The actual salary will vary depending on the applicant's experience, skills, and abilities as well as internal equity and market data for their location. This position is also eligible for an additional annual bonus compensation through one of Pacvue's highly attractive incentive plans, full details will be provided during the recruitment process. #LI-Remote Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Launched in 2025, Spangle AI is the agentic conversion layer connecting AI-led discovery to real-time conversion. We've partnered with enterprise brands like REVOLVE, Alexander Wang, and Steve Madden, delivering up to 50% conversion lifts and 2x ROAS improvements. We recently closed a $15M Series A. Spangle won NRF's VIP (Vendor in Partnership) Award for Best AI-Driven Marketing Solution and was recognized in Business of Fashion's AI startups to Watch. Founded by serial entrepreneurs with 30+ years scaling AI and commerce at Amazon, Saks, and Gap, we're building the commerce infrastructure for the agentic era, where ChatGPT Shopping, Google AI Overviews, and Meta are reshaping how consumers discover and buy. The Role • Own full-cycle enterprise sales motion with AI support: prospecting, discovery, demos, negotiation, pilot and close, • Build pipeline through founder and advisor introductions, partner channels, outbound, and inbound conversion, • Managing complex, multi-stakeholder sales cycles with CMOs, CDOs, VPs of E-commerce, and digital transformation teams, • Lead customer evaluations, identifying customer pain points that map to existing solutions and untapped opportunities, • Support shaping and refining GTM motions as we expand categories and ICP, streamline sales ops with AI, and market positioning, • Feed customer insights back to inform product roadmap and market positioning Why this role is different: • Strong existing pipeline: Founder-supported sales, warm introductions from team and advisory network, • Product partnership: Engineering moves fast to support deals. Frictionless implementations with objective data-driven POC results that convert., • Proven product & sales motion: Execute and refine frameworks that already work with expanding customers This is a great fit if you are entrepreneurial, AI-curious, and thrive in high-velocity environments. You want the structure of an experienced founding team with the autonomy and impact of a founding sales team member. What We're Looking For • 5+ years B2B SaaS sales experience, with 3+ years closing enterprise deals, • Proven track record managing complex, multi-stakeholder sales cycles in e-commerce, • Consultative selling approach: Ability diagnose customer pain points, map to solutions, and drive consensus across technical and business buyers, • Pipeline generation and management: Track record of performance, maintaining quality pipeline, and accurate forecasts., • Strong judgement and commercial: Understanding of unit economics, ROI modeling, and how to position value against budget constraints, • Retail/commerce domain expertise or existing relationships with brands and retailers, • Preference for track record in scaling new products at an established company or early-stage startup experience (Series A to Series C) Our Culture • GenAI-native in how we build, sell, and operate, • High ownership, low overhead, and bias toward action, • Focus on speed, experimentation, and execution, • Deep emphasis on creating clear, demonstrable customer value, • Preference for builders and operators over hierarchy, • Strong belief in in-person collaboration Why Spangle • Opportunity to shape enterprise sales for a category-defining GenAI commerce platform, • Direct partnership with the founding team who built AI solutions at scale for Amazon, Saks and marquee brands and retailers, • Meaningful ownership and impact at an early stage with ample career growth opportunities, • Competitive salary with uncapped commission and equity, • Benefits: Health, dental, and vision insurance, 401(k), Unlimited PTO Compensation: Base $120K-$150K, OTE $240K-$300K (uncapped commission), equity

If you are looking for a signing bonus, outstanding pay, flexible part-time, full-time and seasonal schedules, plus benefits for you and your family, Amazon jobs have you covered! As an Amazon Shopper, you'll: Work in a grocery store, retail or warehouse setting; Locate and carefully select items; P

Job Description Who We're Looking For Role: Client Partner – Retail, CPG & Pharma Team: Sales Vertical: Retail, CPG & Pharma Reports To: Managing Client Partner – Retail, CPG & Pharma Supervisory Responsibility: This role does not currently have direct reports. Ideal Start Date: February 1, 2027. Location: We are a remote-first company but we prioritize candidates in New York City, Chicago, San Francisco, LA, Boston, Seattle or Philadelphia given the customer requirements of this role. We have office spaces available in all of our hubs. Travel: This role will travel as needed for in-person customer meetings and industry conferences. Note, Knit does US All Team, in-person company events 2x per year. Salary Range: $120K - $160K base (50% base / variable) A Little About Us... Knit is the AI-native research agency. We help the world's most iconic brands make confident decisions through deep customer understanding. Knit pairs our AI-native tooling with world-class researchers to run quant and qual at scale - delivering executive, decision-ready insights to inform billion dollar decisions. Teams at Amazon, Mars, T-Mobile, Paramount, McCormick, Nestle, Medtronic and 100+ others trust Knit to bring real customer voices into their biggest decisions. Knit recently closed its Series B, raising $60M+ to date. Our team of ~80 is US remote friendly, with headquarters in our NYC midtown office. Our team is built with operating talent from Kantar, Ipsos, Deloitte, and unicorn startups. Come build with us! Overview The Client Partner – Retail, CPG & Pharma will play a critical role in driving Knit's growth in the Retail, CPG & Pharma vertical by managing and expanding our largest enterprise partnerships while also building relationships with new high-potential accounts. You'll own a portfolio of 10–20 enterprise accounts across retail, consumer packaged goods (CPG), and pharma/healthcare (some existing, some new) with the mandate to retain, grow, and strategically expand them across brands, categories, and markets. These are organizations with large brand portfolios and complex category, commercial, and regulatory considerations, where insights teams drive decisions from shelf to patient. Acting as the commercial quarterback, you'll lead renewals, upsells, and cross-sells while prospecting into new divisions and organizations to grow your book of business. You'll join a team that's building something category-defining, and you'll help shape how some of the world's most respected brands uncover and activate insights through AI-native research. This is a high-impact, consultative sales role that blends strategic relationship management with commercial ownership. You'll collaborate closely with Customer Success, Research, and Product to ensure clients are realizing value while uncovering new ways Knit can help them succeed. Primary Responsibilities • Own and grow a portfolio of 10–20 enterprise accounts in Retail, CPG & Pharma, including both existing clients and targeted net-new logos., • Drive renewals and expansion, ensuring every partnership grows in scope, scale, and value year over year., • Uncover and pursue new opportunities within existing and prospective accounts—identifying new business units, teams, and use cases where Knit's platform can deliver value, such as shopper journey and path-to-purchase, packaging and claims testing, assortment and category strategy, innovation pipelines, brand positioning, and patient and HCP (healthcare professional) research. Act as a strategic advisor to senior Consumer & Shopper Insights, Category Management, Brand, Commercial Insights, and Market Research leaders, helping them expand how they use Knit's AI-native platform across teams and business challenges. • Develop and execute account plans that identify whitespace, prioritize client goals, map key stakeholders, and drive consistent revenue growth., • Lead commercial negotiations—owning renewals, upsells, and cross-sells in collaboration with Sales Leadership, • Collaborate deeply with Customer Success, Research, and Product to ensure clients realize full value from Knit today - and evolve alongside our platform as new capabilities emerge, • Represent Knit externally at Retail, CPG & Pharma conferences, client summits, and industry events, strengthening brand visibility and deepening client relationships., • Maintain high standards for pipeline integrity, forecasting accuracy, and documentation across every stage of the renewal and expansion process.What Success Looks Like You'll be measured primarily by: • Net-New Revenue: Securing new enterprise partnerships and expanding Knit's presence across target Retail, CPG & Pharma accounts., • Net Revenue Retention (NRR): Expanding overall revenue within your account portfolio through renewals, upsells, and cross-sells, • Renewal Rate: Consistently securing on-time, value-driven renewals., • Sales Excellence: Managing disciplined account plans, accurate forecasts, and clear collaboration across internal teams.What You'll Own & Who You Are... A successful candidate for this role has deep experience managing strategic enterprise accounts in Retail, CPG & Pharma, particularly within the Insights, Analytics, or Marketing ecosystem. This role is ideal for someone who thrives in consultative selling, complex relationship management, and commercial ownership. Required: • 7+ years of experience in enterprise account management, client partnerships, or strategic sales in the research and insights industry, • Direct experience selling into and growing accounts at retailers, CPG manufacturers, and/or pharmaceutical or healthcare companies, with a working understanding of how insights teams in these industries support Brand, Category, and Commercial teams, • Experience autonomously owning and leading customer relationships and entering new buying centers within existing Enterprise accounts, • We are specifically looking for individuals who have supported clients at Fortune 500 companies, with Insights titles (including but not limited to Chief Research/Insights Officers, VP, director-level and above), • Experience selling $100K+ contracts to clients at Fortune 500 companies and managing $1M+ Enterprise relationships, • Proven success managing Fortune 500 clients with multi-business-unit complexity., • Consistent track record of hitting or exceeding growth, renewal, or NRR targets., • Experience leading commercial negotiations for six- and seven-figure contracts., • Consultative, discovery-led approach with exceptional listening and problem-solving skills., • Highly organized, with disciplined pipeline and account management., • Strong collaboration skills; you are adept at leading cross-functional teams across Customer Success, Research, and Product., • A builder's mindset; you are comfortable navigating ambiguity and energized by shaping processes as we scale. Nice to Haves: • Experience selling to pharma commercial/market research teams, including familiarity with HCP and patient research and compliance considerations (e.g., adverse event reporting, MLR review)., • Familiarity with retailer–manufacturer dynamics, category management, or retail media., • Background in SaaS, AI, or technology-enabled services that drive strategic business decisions., • Experience managing global or multi-market client portfolios., • History of success in high-growth or startup environments where playbooks are still being written.Perks & Benefits: Upon joining the Knit team, you will receive: • Competitive Salary + Commission (for applicable roles), • Equity Options, • Healthcare (Medical, Dental, and Vision), • Additional Coverage, • Company Laptop, • One-time Onboarding Technology Stipend, • 401(k) with Company Match, • Flexible Time-Off, • Hybrid Working, • and more...Our Company ValuesWe are the Championship Team. This means we:Are 1% Better Every Day We approach situations with a growth mindset and ask "How can we make the business better?" and "What would it take?" Play to Win We set audacious goals and push ourselves to achieve them with a bias towards action. When we see a need, we take initiative, and hold ourselves accountable to seeing it through. Keep the Main Thing the Main Thing Identify what has the biggest impact and prioritize focusing on it. Knit Privacy Policy here. CCPA disclosure here.

Job Description About Us: Pacvue is the leading Commerce Media OS, powering over $12B in advertising spend across 100+ global retail media networks including Amazon, Walmart, Target, Kroger, Instacart, Criteo, and CitrusAd. Powered by industry-leading AI and real-time data, Pacvue enables over 70,000 brands and agencies to maximize advertising performance, drive incrementality, and expand reach across the commerce universe from a single mission control. As of 2025, Pacvue powers 12% of total retail media ad spend worldwide excluding China. Combined with Helium 10's SMB solutions, Pacvue delivers the industry's most comprehensive platform for businesses of all sizes. At Pacvue and Helium 10, great careers don't just happen — they're built. Here, you'll rise as an industry leader, push the boundaries of innovation, own your journey, and thrive as part of an inclusive global community that's redefining the future of commerce. About the role: We are looking for a self-starter with a proven track record of building relationships and taking full ownership of client inputs to deliver results. The ideal candidate owns the full strategic relationship with their clients and serves as a senior advisor on the account, using Pacvue's platform and data to drive growth, surface opportunities clients might otherwise miss, and set the advertising strategy that guides execution across retail media platforms. Day to day, this includes creating and managing complex paid search and display media strategies for enterprise brands and agencies across platforms like Amazon, Walmart, Target, and Instacart, providing annual and ongoing budget recommendations to help clients hit their business objectives, using Amazon Marketing Cloud and third-party measurement tools to deliver advanced insights, and presenting a clear action plan that gets senior leaders aligned. This role combines exceptional analytical skills with creative problem-solving and is singularly focused on client results. It is an individual contributor role and does not require people management, though the ideal candidate will serve as a mentor, subject matter expert, and thought leader for the broader team. This team owns some of our most complex and highest-value accounts, spanning both enterprise brands and agency-managed clients. Responsibilities: • Fully own the strategic client relationship by building trust and transparency with enterprise brands and agencies and delivering results against joint business objectives, serving as a trusted advisor to client stakeholders up to executive leadership, • Develop strategic growth plans for complex, multi-retailer accounts, gain client alignment, and fully execute against the aligned upon approach, • Create and execute retail media strategies, including paid search and display, to drive traffic, conversion, and organic search ranking improvement, • Develop annual budget recommendations, allocate across campaigns and retailers, and build an annual marketing calendar incorporating key drive periods including relevant macro and micro seasons, new product launches, and client media calendars, • Leverage Pacvue technology to manage budget pacing, analyze trends, and monitor campaign performance, communicating with the client and delivering results within client budget thresholds, • Measure efficacy of the strategy through regular reporting against core retail media KPIs and ad-hoc audits to identify areas for refinement, • Prepare weekly and monthly retail media performance reports, analyze category trends, measure advertising and total sales, identify account trends, and perform competitive benchmarking across the client's product portfolio, • Use Amazon Marketing Cloud (AMC) and third-party measurement tools to evaluate performance, optimize strategies, and deliver advanced insights and actionable recommendations to clients, • Highlight incremental sales opportunities to clients through participation in retailer programs, additional promotional opportunities, and retail readiness recommendations to improve operational KPIs, • Maximize retailer share, revenue, and profitability for clients while integrating client's internal objectives such as driving innovation or key items or product lines, • Create strategic retail media plans for new product launches, including recommendations for retail readiness across core KPIs, • Apply creative problem-solving to overcome client challenges, tailoring solutions to deliver both immediate wins and long-term growth, • Lead executive-level business reviews and strategic presentations with client leadership and Pacvue management, • Mentor and coach teammates and serve as a subject matter expert and escalation point for complex client situations, partnering cross-functionally with Product, Sales, and Support teams to drive resolution, • Provide thought leadership by giving input on Pacvue's platform development, contributing to client training initiatives, and supporting industry education programs by sharing expertise, • Identify and champion opportunities to streamline processes and build repeatable workflows, including through the use of AI tools, to improve team efficiency and client outcomes, • Responsible for reporting, analysis and communication with Pacvue and client management teams Skills & Qualifications: • 7+ years experience in e-commerce account management, digital marketing, and/or sales, including significant client-facing account management experience, • The ideal candidate will be a self-starter, demonstrate ownership, work collaboratively, be transparent, be action and results oriented, and have strong analytical skills, • Proven success managing complex paid search and/or paid display strategies across retail media platforms such as Amazon, Walmart, Target, Instacart, or similar, • Experience working with enterprise brands and agencies to deliver measurable results at scale, • Expertise in using measurement tools like AMC and third-party platforms to optimize media performance, • Demonstrate an in-depth understanding of how the Amazon marketplace and flywheel works, and how retail media, sales, and operations work together; similar knowledge of other retail media network algorithms is a plus, • Advanced analytical abilities, including the ability to work with large data sets, uncover insights, and translate data into actionable strategies, • A balance of creative problem-solving and structured analytical thinking to address client needs effectively, • Proven track record in relationship building and managing senior-level client stakeholders; working at or with agencies is a plus, • Mentorship experience is a plus; people management is not required, • Previous product management, project management, financial analysis, negotiation and/or marketing experience is a plus, • Proven success in driving results and implementing ideas in a fast-paced environment, • Works efficiently and is always looking to streamline processes and workflows, • Excellent organizational, communication, and presentation skills, • Experience using AI to expedite or build new workflows (Claude, ChatGPT, etc), • Moderate to advanced Excel and PowerPoint skills and comfort with reporting tools are a must Benefits: • Flexible Paid Time Off, • Paid Holidays and Floating Holidays, • Medical, Dental, Vision, FSA, HSA with employer contribution, Life Insurance and Pet Insurance, • 401k with Employer Match, • Take up to 2 Days of Paid Time Off to Volunteer with a 501c Organization, • Paid Parental Leave, • Company-subsidized membership to Wellhub and Peloton, • Fertility and family-building information platform through Carrot The annual base salary range for this position is $130,000-$150,000 USD. The actual salary will vary depending on the applicant's experience, skills, and abilities as well as internal equity and market data for their location. This position is also eligible for an additional annual bonus compensation through one of Pacvue's highly attractive incentive plans, full details will be provided during the recruitment process. #LI-remote Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

As a Senior Customer Success Manager, you'll create vendor strategies that directly impact millions of customer experiences, drive marketplace innovation, and shape the future of retail commerce on one of the world's largest e-commerce platforms. Amazon Vendor Services provides comprehensive support

As a Senior Customer Success Manager, you'll create vendor strategies that directly impact millions of customer experiences, drive marketplace innovation, and shape the future of retail commerce on one of the world's largest e-commerce platforms. Amazon Vendor Services provides comprehensive support

Are you energized by building strategies that shape how millions of customers discover and purchase products? As a Retail Vendor Manager III at Amazon, you will own the end-to-end profit and loss for a complex category cohort, driving selection growth, negotiating with vendor executives, and deliver

As a Retail Associate, you will be the face of Amazon and contribute to a vibrant store culture based on customer obsession, trust, respect, integrity, continuous learning, and fun. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gende

Economist Position at AmazonEconomists at Amazon partner closely with senior management, business stakeholders, scientists, engineers, and economist leadership to solve key business problems ranging from Amazon Web Services, Prime, inventory planning, international retail, third party merchants, sea

Economists at Amazon will be expected to work directly with our Chief Economists and senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Economists at Amazon will be expected to dev

Economists at Amazon partner closely with senior management, business stakeholders, scientist and engineers, and economist leadership to solve key business problems ranging from Amazon Web Services, Kindle, Prime, inventory planning, international retail, third party merchants, search, pricing, labo

Job Description About Us: Pacvue is the leading Commerce Media OS, powering over $12B in advertising spend across 100+ global retail media networks including Amazon, Walmart, Target, Kroger, Instacart, Criteo, and CitrusAd. Powered by industry-leading AI and real-time data, Pacvue enables over 70,000 brands and agencies to maximize advertising performance, drive incrementality, and expand reach across the commerce universe from a single mission control. As of 2025, Pacvue powers 12% of total retail media ad spend worldwide excluding China. Combined with Helium 10's SMB solutions, Pacvue delivers the industry's most comprehensive platform for businesses of all sizes. At Pacvue and Helium 10, great careers don't just happen — they're built. Here, you'll rise as an industry leader, push the boundaries of innovation, own your journey, and thrive as part of an inclusive global community that's redefining the future of commerce. About the Role: We are looking for a self-starter with a proven track record of building relationships and taking full ownership of client inputs to deliver results. The ideal candidate owns the day-to-day client relationship, using Pacvue's platform and data to drive growth, surface opportunities clients might otherwise miss, and develop advertising strategy recommendations that guide execution across retail media platforms. Day to day, this includes creating and managing paid search and display media strategies for various retailers, providing annual and ongoing budget recommendations to help clients hit their business objectives, flagging operational KPIs or opportunities that impact advertising effectiveness, and delivering regular reporting on performance. This role requires someone who can dive into a large data set, build a strategy from it, and present a clear action plan that gets client stakeholders aligned. Responsibilities: • Own day-to-day execution of the client relationship by building solid rapport, demonstrating transparency, and delivering results against joint business objectives, serving as the main point of contact for client stakeholders, • Develop growth plan recommendations for client accounts, gain client alignment, and execute against the agreed-upon approach, with manager guidance on complex or ambiguous scenarios, • Measure efficacy of the strategy through regular reporting against core retail media KPIs and ad-hoc audits to identify areas for refinement, • Leverage retail media activities and other retail readiness recommendations to drive increased traffic and conversion and organic search ranking improvement, • Highlight incremental sales opportunities to clients through participation in retailer programs, additional promotional opportunities, and recommendations to improve operational KPIs, • Develop annual budget recommendations and properly allocate across campaigns and retailers to align with business objectives, with manager review at key milestones, • Develop an annual marketing calendar incorporating key drive periods including relevant macro and micro seasons, new product launches, and client media calendars, • Leverage Pacvue technology to manage budget pacing, communicate with client on trends and pacing, and deliver results within client budget thresholds, • Prepare weekly and monthly retail media performance reports, analyze category trends, measure advertising and total sales, identify account trends, and perform competitive benchmarking across the client's product portfolio, • Support retailer share, revenue, and profitability goals for clients while integrating client's internal objectives such as driving innovation or key items or product lines, • Create retail media plans for new product launches, including recommendations for retail readiness across core KPIs, • Prepare and present regular business reviews with client teams, • Partner cross-functionally with Product, Sales, and Support teams to help resolve client issues as needed, • Identify and champion opportunities to streamline processes and build repeatable workflows, including through the use of AI tools, to improve team efficiency and client outcomes, • Responsible for reporting, analysis, and communication with Pacvue and client teams Skills & Qualifications: • 5+ years experience working in e-commerce sales and/or digital marketing, • 5+ years previous client-facing account management experience, • The ideal candidate will be a self-starter, demonstrate ownership, work collaboratively, be transparent, be action and results oriented, and have strong analytical skills, • Proven ability to manage paid search and/or paid display strategies across retail media platforms (Amazon, Walmart, Instacart, Criteo, or similar), • Demonstrate solid working knowledge of how retail media, sales, and operations connect, • Proven track record in relationship building and managing client stakeholders; working at or with agencies is a plus, • Previous people management or mentorship experience is a plus, • Previous product management, project management, financial analysis, negotiation and/or marketing experience is a plus, • Proven success in driving results and implementing ideas in a fast-paced environment, • Works efficiently and is always looking to streamline processes and workflows, • Excellent organizational, communication, and presentation skills, • Strong analytical skills, and the ability to take large data sets and extract actionable recommendations, are a must, • Experience using AI to expedite or build new workflows (Claude, ChatGPT, etc), • Moderate to advanced Excel and PowerPoint skills are a must, • Amazon Marketing Cloud experience preferred; passion for measurement and data-based media activation Benefits: • Flexible Paid Time Off, • Paid Holidays and Floating Holidays, • Medical, Dental, Vision, FSA, HSA with employer contribution, Life Insurance and Pet Insurance, • 401k with Employer Match, • Take up to 2 Days of Paid Time Off to Volunteer with a 501c Organization, • Paid Parental Leave, • Company-subsidized membership to Wellhub and Peloton, • Fertility and family-building information platform through Carrot The annual base salary range for this position is $105,000-$130,000 USD. The actual salary will vary depending on the applicant's experience, skills, and abilities as well as internal equity and market data for their location. This position is also eligible for an additional annual bonus compensation through one of Pacvue's highly attractive incentive plans, full details will be provided during the recruitment process. Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. #LI-Remote Pacvue is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

Job DescriptionAbout Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com. The Role You will own the production system behind Turing's software-engineering data programs, turning complex research requirements into predictable delivery across quality, throughput, contributor performance, timelines, and cost. These programs may involve supervised coding demonstrations, repository-level tasks, agentic trajectories, reinforcement-learning environments, benchmarks, code review, and rubric-based evaluations. They can require coordinating hundreds of distributed software engineers while responding quickly to changing research requirements. This is an operations leadership role with a meaningful technical bar. You must be able to inspect code, understand tests, interrogate quality signals, and challenge a workflow or rubric when it is not producing the intended result. You will not be expected to act as the principal engineer for every program. Your primary responsibility is to build and operate the system that consistently produces high-quality technical work at scale. What You'll Do 1) Operational execution — own end-to-end delivery on every project you run • Design and manage data pipelines from customer specification to final delivery, with full accountability for scope, timeline, and quality., • Diagnose bottlenecks in real time — re-sequence workflows, refine instructions, create incentive systems, and scale review processes to hit throughput targets., • Run daily "war room" syncs to stay ahead of issues before they reach the customer. 2) Customer relationships — be the face of Turing to the world's leading AI labs • Act as the primary point of contact for researchers and program managers at frontier AI labs., • Deliver clear, consistent reporting and proactively anticipate client needs before they ask., • Build the kind of long-term trust that converts a one-off project into a multi-year partnership — and identify expansion opportunities along the way. 3) Large-scale coordination — orchestrate the work of 100–1,000+ contributors • Source, vet, onboard, train, and performance-manage domain experts across distributed workspaces., • Maintain high execution standards at every stage of production, from annotation through review through delivery., • Design motivation and performance systems — including gamification — that keep large contributor pools engaged and output high. 4) Quality ownership — ensure world-class data integrity on every project • Own quality control across the annotation lifecycle: set the bar, measure against it, and close the gap when it slips., • Analyze datasets to identify trends, anomalies, and systematic errors — then fix the root cause, not just the symptom., • Implement and continuously improve annotation, evaluation, and curation best practices. 5) Process innovation — make the operation faster, better, and cheaper each cycle • Stay ahead of emerging practices in AI data operations and apply them before customers ask., • Champion workflow changes that reduce task completion times and improve cost efficiency., • Maintain clear, scalable documentation so that improvements survive beyond any single project. 6) Playbook building — codify what works so future SPLs scale faster than you did • Document onboarding scripts, quality benchmarks, contributor management frameworks, and escalation patterns., • Own your domain's section of the SPL knowledge base., • Actively mentor the next hire — your playbook is your legacy.Who We're Looking For, • Background in consulting, finance, startups, or other operationally intense environments, with a proven track record of managing complex, multi-stakeholder projects., • Strong analytical and communication abilities: you can spot a bottleneck in a noisy production environment, build a measurement plan, and communicate the fix to a demanding client in plain language., • Customer-facing experience: comfortable working directly with high-profile clients, managing expectations, and building long-term relationships., • Excited by gritty process optimization and large-scale execution — you thrive on making complex operations faster, cleaner, and more reliable.What Success Looks Like 30 days: First project delivered end-to-end with no quality escapes reaching the customer. Reporting cadence established and trusted by the lab. Contributor onboarding playbook v1 published. You know the names of every researcher on your accounts. 60 days: 300+ active contributors across concurrent workstreams, all executing to standard. At least one customer has proactively expanded scope based on delivery quality. Quality framework codified and in daily use by your team. 180 days: $5M+ in active project revenue under your management. A second SPL is ramping off your playbook. You spend more time multiplying through others than operating as a solo contributor. Why Turing • Work directly with the world's leading AI labs at the cutting edge of post-training, evaluation, and agentic AI research., • Real impact on the path to AGI: the data you deliver will directly influence how frontier models are trained and evaluated., • High ownership and influence. You will shape how Turing delivers at scale, with direct visibility to senior leadership., • Direct-to-research customers. You will spend your time partnering with the people building the future of AI, not coordinating with procurement.How to Apply Send a CV and a short note on a project you managed end-to-end — ideally something that required coordinating a large team, managing a demanding client, or solving a hard quality problem under time pressure — to recruiting@turing.com. We read every submission. Compensation SPL: • Base Salary: $120K-$200K, • Total Target Compensation: $195K-$300K (includes salary, variable, and equity) Senior SPL: • Base Salary: $150K-$280K, • Total Target Compensation: $300K-$500K (includes salary, variable, and equity) Values • We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value., • We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection, • We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.Advantages of joining Turing, • Work at the frontier of AI, helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks., • Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS., • Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges., • Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies., • Move at the pace of AI innovation, with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.

Job Description Only Groomers with experience need apply. About Downtown Dog Lounge Downtown Dog Lounge is Seattle’s premier dog boarding and daycare center with two locations in South Lake Union, and Ballard. We pride ourselves on delivering peace of mind in a safe environment by caring for every dog as our own. Position Overview & Purpose The Groomer is responsible for providing direct care for our dogs, as well as their health and safety while on-site, resulting in exceptional customer service and high-quality pet care. Pay Range $23 hourly or 50% commission A Week in the Life of a Groomer The following is a list of general job responsibilities for the Groomer position. Please note that this list is not all-inclusive and may be amended to meet changing business needs. Daily Operations: • Live out and be a positive advocate for Downtown Dog Lounge’s safety culture, • Understand and uphold the Purpose and Core Values of the business in actions and words, • Develop thorough knowledge and understanding of dog breeds and dog behavior, • Follow all safety guidelines and protocols, • Attend daily recap meetings, as well as read and understand recap daily, • Perform dog grooming services including but not limited to brushing, bathing, conditioning, ear cleaning, anal gland expression, sanitary trims, nail trims, feet trims, face trims, de-matting services, hair cutting, hair coloring, drying, etc. Support with Needed Tasks: • Entering all grooming blade and cut notes and ensuring profile photo is uploaded into Gingr pet profile for team communication and consistency., • Complete all required grooming logs, paperwork, and commission reports, • Maintain clean, organized, and sanitary work environment according to health and safety code, • Clean up hair and disinfect table and tools between clients, • Provide and maintain personal clippers, blades, and other hand tools required for grooming services (DDL will finance quarterly tool sharpening), • Assist with cleaning, inventory, and laundry in the grooming department, • Regularly attend educational training to strengthen expertise and develop new skills, • Participate in community marketing events quarterly with an opportunity to increase the clientele base, • Notify management of all maintenance and/or equipment repairs needed, • Arrive 15 minutes prior to the scheduled shift start time to set up the station with the necessary supplies and equipment. If there are no scheduled grooms at shift start time, station yourself in the lobby to sell services and assist the team with running dogs. Also, stay 15 minutes after your scheduled shift time to clean your work area and tools, • This position requires a proactive approach to business development. The employee will be expected to actively market our services to local daycare clients, Amazon campus dog parents, and other potential customers in the surrounding community. During slower business periods, the focus should shift to generating new business through outreach, marketing, relationship building, and maintaining a clean, organized workplace. Employees are expected to use slower periods productively to help grow and support the business Delight Dogs & Our Clients: • Follow pet parent’s instructions or breed standards when servicing animals, • Communicating and educating the client for optimal customer service and frequency, • Greet clients at check-in and pick-up, • Maintain exceptional relationships with human and dog clients, retaining clients over time, • Perform brief consultation at check-in, making expert recommendations on services for the day, • Discuss the estimated cost of service at check-in, • Confirm customer appointments and vaccinations are up to date 24 hours in advance of appointment times, • Notify the customer when the dog is ready for pick up with groom details, • Take photos of dogs being groomed for the pet parents and social media purposes, • Prebook future appointments at the time of checkout, • Follow up with new customers two (2) days after the first appointment, to ensure satisfaction, • Follow up with customers who have not been in for 6-8 weeks, • Address any client complaints immediately, assuring client satisfaction, • Display the highest standard of client service, including bows, bandanas, or ties for each dog, • Make retail recommendations and discuss other services offered at Downtown Dog Lounge Support the Team: • Uphold DDL Purpose and Values, communicating clearly, openly, honestly, and kindly, • Communicate and participate as part of the team, • Attend periodic required trainings and All Team Meetings, • Mentor new team members as assigned Must Haves The ideal Groomer is an enthusiastic animal lover who must be able to provide an excellent experience for dogs and parents alike. Experience and Education: • A minimum of two years of grooming experience., • A minimum of two years of customer service experience., • Minimum of High School Diploma, GED, or equivalent, • Must be 18 years of age to work independently Required Skills and Abilities: • Ideally, a successful candidate should have experience working with dogs, • Comfortable working within close proximity to dogs, • Able to lift 50 pounds, • Be healthy, and not be afflicted with allergies, asthma, or other health issues/medications that may interfere with your ability to perform the job, • Desire to develop a thorough understanding of dog behavior, • Quick reaction time to unpredictable situations, • Comfortable working in a loud environment, • Strong interpersonal and customer service skills, • Demonstrate outstanding attention to detail, ownership, and follow-through, • Good communication skills, written and verbal, • A goal-oriented attention to detail, • Proficiency in Gingr operations, • Comfortable standing for 8 hours at a time, • Must be flexible and will be expected to be available to work weekends, evenings, and during holidays Downtown Dog Lounge is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We look forward to your application.

Design ManagerAmazon's Worldwide Grocery Retail Growth & Development (WWRGD), Enterprise Design team is seeking a Design Manager to own the end-to-end design function of the PERF (Project and Equipment Request Form) program across our entire grocery store fleet. Our inclusive culture empowers Amazon

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Paid parental leave for both moms and dads! Adoption Assistance Program Medical, Flexible Spending Accounts, EAP, Dental, Vision, LTD & STD Disability, Life Insurance, Commuter, and Voluntary benefits Valuable employee discounts on shipping, printing, and access to LifeCare/Lifemart that offers disc

Services LLC in Seattle is seeking a Retail Vendor Manager III to own end-to-end P&L for a complex category, negotiate with vendor executives, and drive selection growth that impacts customer experience.

Seasonal Cover Driver (with Warehouse Support).Become a key part of our UPS team in a dynamic combo role, with a strong focus on driving! At this time of year, you'll primarily serve as a Seasonal Cover Driver, stepping in to support delivery operations and keep things moving.When needed, you'll als