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agentic ai engineer

Wellington Management

<div><h1 class="jobSectionHeader">About Us</h1>
Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.<h1 class="jobSectionHeader">
About the Role</h1>
THE POSITION 
We are looking for a Data Science Analyst (Science Analyst) to join the Healthcare team within Global Investment Research. With over $100B invested in healthcare, across over 50 Portfolio Managers, this represents a flagship franchise for Wellington. The Healthcare team invests globally across the full healthcare continuum, including Biopharma, Healthcare Services and Medical Technology. The Healthcare team includes over 10 colleagues.
The Science Analyst will work as an integral team member alongside Global Industry Analysts and Portfolio Managers, helping identify where data science, AI and alternative data can create differentiated investment insight across the healthcare sector (MedTech, Pharmaceuticals, Biotech, Healthcare Services). The ideal candidate brings hands-on experience in an investment setting, strong Python, SQL and AI skills, sound judgment for turning messy inputs into outputs the team can act on, and a genuine interest in the healthcare sector and the companies operating within it. They should be comfortable working independently, setting their own priorities, and moving fluidly between deep dataset work and quick-turnaround requests.
RESPONSIBILITIES 
Responsibilities for this position will include the following:
<ul><li>Work as an integral part of the Healthcare team, partnering directly with Global Industry Analysts and Portfolio Managers.</li><li>Translate broad investment questions into testable data science workflows and analytical outputs.</li><li>Apply AI and agentic tools to streamline research workflows and contribute directly to investment idea generation.</li><li>Communicate results clearly, including limitations, confidence levels, and interpretation risk.</li><li>Serve as an experienced data science resource across the Healthcare team's coverage areas.</li><li>Rapidly get up to speed on new companies, sub-sectors, datasets, and business models as the need arises.</li><li>Assess and sequence incoming requests based on expected investment impact, feasibility, and how repeatable the resulting work would be.</li><li>Develop differentiated signals and analytical frameworks from alternative and structured datasets relevant to healthcare investing.</li><li>Evaluate dataset quality, coverage, bias, and signal durability.</li><li>Build repeatable tools, screens, and research outputs that can be used across companies and themes within the sector.</li><li>Partner with Data Engineering to productionize high-value signals where appropriate.</li></ul>
QUALIFICATIONS 
Ideal candidates will have:<ul><li>3-5+ years of experience in data science, alternative data, investment research, healthcare analytics, or a related analytical role.</li><li>Prior experience working with investment teams, research teams, or senior business stakeholders.</li><li>Strong Python and SQL skills.</li><li>Comfort with AI/LLM tooling and agentic workflows, and the ability to apply them to streamline the research process and support idea generation.</li><li>Experience working with large, messy, real-world datasets.</li><li>Hands-on experience with a variety of alternative datasets, including a track record of sourcing and evaluating new or emerging data, not just working with what's already established.</li><li>Strong ability to evaluate dataset quality, bias, representativeness, and signal robustness.</li><li>Genuine investment acumen and curiosity about markets, companies, and how data translates into an investment thesis &mdash; not just a technical interest in the data itself.</li><li>Ability to translate ambiguous investment or business questions into concrete analyses.</li><li>Strong communication skills and ability to present nuanced findings to senior stakeholders.</li><li>High judgment and comfort operating independently in ambiguous environments.</li></ul> 
LOCATION 
The Data Science Analyst will ideally be based in Wellington&rsquo;s Global Headquarters in Boston, MA. Location in the New York, NY office will also selectively be considered.
Not sure you meet 100% of our qualifications? That&rsquo;s ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.
As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at GMWTalentOperations@wellington.com.
At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry. We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is:
USD 90,000 - 180,000<div>
This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.</div><div> 
Base salary is only one component of Wellington&rsquo;s total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible. In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally. Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and commuter program, employee assistance program, life and disability insurance, adoption assistance, back-up childcare, tuition/CFA reimbursement and paid time off (leave of absence, paid holidays, volunteer, sick and vacation time)
We believe that in person interactions inspire and energize our community and are essential to our culture. In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term.</div></div>

Data Science Analyst, Equity Research, Healthcare Team

Veeam Software

<div><div><div>Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world's biggest brands.
</div></div>
About the role:

Senior Domain Engineering Specialist represent Veeam's deepest technical bench and operate as a specialized overlay function supporting eligible accounts in close partnership with Customer Success Engineers (CSEs), Customer Success Specialist (CSSs), and Sales teams. This role is designed to be pulled into customer engagements when advanced product expertise or domain depth is required to accelerate outcomes, derisk adoption, or support complex expansion opportunities.

The Domain Engineering team is intentionally multidimensional and will include:
<ul>
<li>Product focused specialists across VDC and the broader Veeam Data Platform (VDP).</li>
</ul><ul><li>Domain experts spanning Security, Cloud, and AI.</li>
</ul>
Success Engineers blend deep technical credibility with strong customer facing and consultative skills. They engage directly with senior customer stakeholders&mdash;including CIOs and CISOs&mdash;to assess resilience posture, guide solution design, and influence long term roadmap strategy. By amplifying Veeam's technical authority, Success Engineers help ensure customers realize maximum value while enabling Sales and CSE teams to operate with greater focus and efficiency.

What You'll Do
<ul>
<li>Serve as a technical overlay to CSEs and CSSs, providing specialized expertise when advanced product or domain depth is required.</li>
</ul><ul><li>Lead solution design reviews, customer readiness assessments, and risk or maturity modeling engagements across the Veeam Data Platform.</li>
</ul><ul><li>Engage directly with CIO and CISO stakeholders on resilience posture, risk exposure, and longterm data protection and modernization strategies.</li>
</ul><ul><li>Support security, cloud, and AI expansion motions in partnership with Sales and CSE teams, helping shape technical strategy and customer narratives.</li>
</ul><ul><li>Monitor telemetry, inspection signals, and maturity indicators (e.g., DRMM where applicable) to identify risk, optimization opportunities, and expansion signals.</li>
</ul><ul><li>Validate architectures and designs to derisk adoption and accelerate time to value.</li>
</ul><ul><li>Align tightly with Sales Engineering teams on required deliverables and engagement strategy, enabling Sales to remain focused on presales motions while Success Engineers support post sale depth and continuity.</li>
</ul><ul><li>Operate as a pooled specialist resource across Enterprise and Commercial Named accounts (generally $100K+ ARR), with coverage models aligned to demand and specialization.</li>
</ul><ul><li>Amplify Veeam's technical authority in customer conversations by translating complex technical concepts into clear, outcome oriented guidance.</li>
</ul>
Note: Success Engineers are not the primary owners of onboarding or renewals but provide targeted support where advanced technical involvement materially improves outcomes.

What You'll Bring
<ul>
<li>5+ years of experience in advanced technical or architecture roles (e.g., Security Engineer/Architect, Cloud Solution Architect, Platform Engineer, MLOps / ML Engineer).</li>
</ul><ul><li>Strong depth in at least one product area (VDC or VDP) or one domain area (Security, Cloud, AI), with the ability to collaborate across specialties.</li>
</ul><ul><li>Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field; advanced degree preferred.</li>
</ul><ul><li>Relevant industry certifications (e.g., CompTIA Security+, CISSP, cloud or platform certifications); VMCE preferred or willingness to complete posthire.</li>
</ul><ul><li>Demonstrated ability to engage senior technical and executive stakeholders (CIO/CISO) on risk, resilience, and strategic roadmaps.</li>
</ul><ul><li>Handson experience with solution design, proofs of concept, telemetry analysis, and maturity or risk modeling frameworks.</li>
</ul><ul><li>Strong communication, stakeholder management, and cross functional collaboration skills.</li>
</ul><ul><li>Comfort operating in an overlay model, balancing multiple accounts and priorities with impact.</li>
</ul>
#LI-TN1 
#LI-REMOTE
<div><div>
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.

Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.

By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.</div></div></div>

Senior Domain Engineering Specialist- VDP & Cloud

Bevi

<div><div>Bevi is on a mission to transform how beverages are delivered and consumed. Our connected beverage platform eliminates the need for single-use bottles and cans, making it easy, fun, and sustainable to stay hydrated. As the category leader in IoT-enabled beverage technology, we're building a future where Bevi machines are everywhere people live, work, and connect. We've raised over $160M in venture capital, serve thousands of customers across the US, Canada, UK and Ireland, and we've been rapidly growing year over year, saving over 1 billion bottles from waste. In addition to driving hypergrowth with our current product line, Bevi is heavily investing in new product development.</div>
Ever wonder which customers are about to churn before they do, or whether that marketing campaign actually moved the needle instead of just riding a coincidence? That's this role. Bevi's go-to-market (GTM) strategy is built at the intersection of Marketing and Sales: how we acquire new customers, and how we retain and grow existing accounts. We're looking for a GTM Data Scientist who can accelerate this function. On the marketing side, you'll measure the true incremental impact of our marketing spend across the full funnel - digital and offline alike, from paid social to events to BeviMobile - and build the leading indicators that keep the team grounded in what's working between deeper reads. On the customer side, you'll build the models that flag churn risk, surface expansion and upgrade opportunities, and identify look-alike prospects. You'll partner closely with Sales, Marketing, and RevOps stakeholders to turn data into a clear point of view on what to do next. We're looking for someone who spots what needs to get built before being asked, and drives it to done rather than waiting for direction.

Your Day to Day:
<ul>
<li>Build predictive models to identify churn risk and surface upgrade/expansion opportunity across our customer base to inform proactive outreach and account prioritization.</li>
<li>Build look-alike models to identify which prospects resemble our best customers, and own cohort reporting to track how customer segments perform over time.</li>
<li>Build marketing mix models (MMM) and incrementality analyses to measure the true impact of marketing spend across the full funnel - digital and offline, including events, BeviMobile, and social - and inform marketing budget optimization decisions.</li>
<li>Identify leading indicators - including proprietary composite metrics - for weekly reporting that give early signal on marketing performance in between full MMM reads.</li>
<li>Partner with the Marketing Analytics Engineer to inform the data structures your modeling work needs, and ensure the underlying data is accurate and well understood.</li>
<li>Translate data and analytics into clear insights and recommendations.</li>
</ul>
Who You Are:
<ul>
<li>2-4 years of professional experience in data science, applied statistics, or analytics, ideally with exposure to customer/revenue analytics or marketing measurement.</li>
<li>Hands-on experience building predictive/classification models (e.g., churn, propensity, look-alike) using techniques like logistic regression, gradient boosting, or similar.</li>
<li>Experience with causal inference or marketing measurement methods (e.g., MMM, incrementality testing, difference-in-differences) - comfortable incorporating both digital and offline channels (eg events, experiential) into your models, not just clean digital data.</li>
<li>Strong SQL and Python/R for querying, modeling, and analysis.</li>
<li>Experience with data visualization tools (e.g., Looker, PowerBI, Hex).</li>
<li>A creative problem solver, comfortable designing a measurement approach when the textbook experiment isn't available.</li>
<li>You use AI tools in your own workflow to move faster (e.g., exploratory analysis, code, documentation), and think about how to make your models and analyses accessible to AI tools as well as people.</li>
<li>A proactive, go-getter mindset - you notice what needs to get built before you're asked, and drive your own work to completion without needing to be chased.</li>
<li>Excellent communication skills - able to translate complex findings into clear, actionable recommendations for non-technical stakeholders.</li>
</ul>
#LI-CD1

#LI-HYBRID<div><h4 class="jobSectionHeader">
Benefits:</h4>
<ul><li>Comprehensive medical, dental and vision insurance plans with BlueCross BlueShield, 95% paid by employer</li>
<li>401(k) with company match</li>
<li>Flexible PTO plus 12 company holidays, and additional paid days for sick leave, etc</li>
<li>Generous fully paid parental leave for both birth parents and non-birth parents</li>
<li>Fully employer paid disability and life insurances</li>
<li>Wellness and fitness reimbursements</li>
<li>Monthly stipends for cell phone use and commuting costs</li>
<li>Onsite snacks, weekly catered lunch, and (of course) unlimited Bevi ... plus composting and terra-cycling, too</li>
<li>Happy hours, team-building events, bagel breakfasts, Values awards - and more.</li>
</ul>
A note on AI in our hiring process: We use AI to help synthesize interview notes and surface themes from feedback, keeping our process consistent as we grow. Every application is reviewed by a member of our team, and interviews may be recorded to support note-taking, just let us know if you'd prefer we don't. We'll also ask how you're learning and experimenting with AI in your work. Growing our AI fluency is something every Bevi team member is committed to and invested in.

Our commitment to responsible innovation is reflected in our partnership with the Mass AI Coalition, a collaboration that aligns with our dedication to community-driven progress and the future of technology.

We're passionate about supporting career growth and would love to be part of your professional journey. We also know that talent comes in many forms. We value individual accomplishments, specialized knowledge, and genuine passion over simply checking boxes on a requirements list. Whether you're a seasoned expert or an emerging talent, we're looking for people who are ready to build what's next. If any of our open positions interest you, we'd encourage you to apply! A member of the Bevi Talent team 'recruiting@bevi.co' will be reaching out about next steps if we would like to move forward.
<h4 class="jobSectionHeader">
Accommodations:</h4>

Bevi is committed to an inclusive hiring process and we aim to provide accommodations for persons with disabilities. If you need any accommodations for the application or throughout the interview process please contact recruiting@bevi.co.</div></div>

GTM Data Scientist

MFS Investment Management

At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters &ndash; to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures.THE ROLEIn conjunction with the Enterprise Data Management Office, the DBT Investment Lead Data Engineer contributes to a long-term strategic initiative to unify and harmonize our investment data. This initiative enables enhanced investment decision making, risk management and client reporting for our multi-asset platform by delivering consistent, timely, accurate and user-friendly data to investors, risk teams and clients.Are you a hands-on and detailed-oriented individual working on the cutting edge of financial instruments, investment data, and analytics? Are you interested in investment data strategies across a wide variety of traditional and alternative asset classes? Are you a thinker who enjoys devising innovative and flexible business solutions to meet emerging business needs?The MFS Enterprise Data Management Office is actively searching for a DBT Investment Lead Data Engineer to implement data engineering and analytics solutions. Primary responsibilities include full implementation and maintenance of data ingestion, data maintenance, data validation and data delivery of investment data. We are looking for someone who thrives in an agile, collaborative, team-based environment, working closely with technology peers across MFS, investment professionals and key vendor partners. This position offers the opportunity to shape the future of investment data at MFS.WHAT YOU WILL DO&middot; Develop and maintain data models in dbt (Data Build Tool) within Snowflake, implementing business logic and ensuring alignment with existing architecture and data standards.&middot; Manage and contribute to dbt projects, ensuring code quality, proper documentation, and alignment with modular, scalable design patterns.&middot; Design, build, and administer scalable data pipelines and a robust data warehouse to support reporting, analytics, and operational use cases.&middot; Lead and participate in all development activities, develop and implement solutions to meet business requirements that align with program strategic objectives&middot; Drive continuous improvement of data quality, resiliency, control, efficiency, and monitoring&middot; Troubleshooting complex system interactions to find the root cause to problems&middot; Partner with platform lead to design, develop, implement and deploy new software components to investment data platform&middot; Partner with data architect to evaluate and finalize the unified data model&middot; Partner with integration architect to upgrade and integrate data ingestion and data delivery tools with the unified data platform&middot; Upgrade and integrate transformation tool, data validation tool and orchestration tools with the unified data platform to implement data engineering, analytical engineering and data maintenance capabilities.&middot; Provide support during unexpected outagesWHAT WE ARE LOOKING FOR&middot; Bachelor&rsquo;s degree in Computer Science or related disciplines.&middot; 5-6+ years of experience in design, development and building data oriented complex applications.&middot; Minimum of 2-4 years of hands-on progressive experience from SQL to Advanced SQL.&middot; Experience in developing and maintaining data models in dbt (Data Build Tool)&middot; Experience working in data integration (ETL/ELT), data warehouse, data analytics architecture and sound understanding of design principles. Knowledge of and experience with Snowflake and other cloud native databases is highly preferred.&middot; Development Experience in Cloud based PAAS platforms like Microsoft Azure, Google GCP or Amazon AWS&middot; Deep understanding of Agile SDLC, DevOps and Cloud technologies required, in addition to exposure to multiple, diverse technologies, platforms, and processing environments.&middot; Knowledge about various architectures, patterns such as unified data management architecture (UDM), data mesh architecture, event-driven architecture, real-time data flows, non-relational repositories, data virtualization, etc.&middot; Experience with building solutions in the financial services domain with an understanding of financial instruments, transactions, and positions, is desired.&middot; Good interpersonal and communication skills with the ability to lead cross-team collaboration and partnerships across a variety of internal and external constituencies.PREFERRED QUALIFICATIONS&middot; Experience working within the asset management industry and investment data domain, with exposure to multi-asset investment platforms and related data ecosystems.&middot; Understanding of asset management concepts and knowledge of various financial instruments and products, including traditional and alternative asset classes.&middot; Industry certifications in Snowflake, dbt, cloud data engineering platforms, data warehousing technologies, or financial markets/investment operations are highly valued.&middot; Demonstrated interest in emerging AI technologies and an understanding of how AI-driven tools can improve day-to-day engineering processes, data quality, operational efficiency, and analytics workflows.&middot; Familiarity with leveraging AI-assisted development, automation, or data engineering best practices to enhance productivity and continuous improvement initiatives is a plus.#LI-SS1Applicants must be currently authorized to work in the United States on a full-time basis. This position is not eligible for sponsorship.Base Salary Range: $110,000.00 - $158,500.00This position is eligible for competitive incentive bonus.At MFS, we believe in fair and transparent compensation. For that reason, we&rsquo;re including the salary range for this position. This range reflects our good-faith expectation for what we&rsquo;ll pay depending on the candidate&rsquo;s experience, training and education. In addition to the salary, we also offer significant and competitive incentive compensation based on both individual and company performance. Other components of our Total Rewards Package include:<ul><li>MFS contributes an amount equal to 15% of your base salary to your retirement account that is separate from the company -sponsored 401(k)</li><li>Education Assistance: MFS contributes $100 monthly up to $10,000 lifetime maximum directly to loan provider</li><li>Education Assistance: Tuition reimbursement up to $8,000 annually</li><li>Education Assistance: Access to discounted tutors and college coaches</li><li>Generous time off and fully paid leaves including 20-weeks for maternity, 12-weeks for parental and caregiver leaves</li><li>Choice of medical and dental plans and an and an employer contribution into the Health Savings Account</li><li>Tax deferred commuter benefits &amp; flexible spending accounts (medical &amp; dependent care)</li><li>Wellness Programs: Robust wellness webinars, employee assistance program with a focus on mental health, subsidized fitness benefit via Wellhub (formerly Gympass), where you can workout at gyms, studios and boutique fitness locations near you, join virtual personal training sessions and access a wide variety of well-being apps</li></ul>Our compensation philosophy is to pay competitively for talent while ensuring equity across employees performing comparable work. We are committed to transparency &ndash; if you have questions about how we arrived at this range or what additional benefits and bonus opportunities come with the role, we&rsquo;ll be happy to discuss them#LI-HYBRIDAt MFS, we are dedicated to building a diverse, inclusive and authentic workplace. If you are excited about this role but your past experience doesn't align perfectly, we encourage you to apply - you might be just the right candidate for this role or others.MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting.If any applicant is unable to complete an application or respond to a job opening because of a disability, please contact MFS at 617-954-5000 or email talent_acquisition@mfs.com for assistance.MFS is an Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited. Please see the Know Your Rights: Workplace Discrimination is Illegal document, linked for your reference.Pay: $100,505.66 - $130,598.22 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Employee assistance program</li><li>Health insurance</li><li>Paid time off</li><li>Parental leave</li><li>Referral program</li><li>Relocation assistance</li><li>Retirement plan</li><li>Tuition reimbursement</li><li>Vision insurance</li></ul>Work Location: Hybrid remote in Boston, MA 02199

Senior Data Engineer

Cisco

The application window is expected to close on: 08/25/2026Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
 
Meet the Team
 Cisco is seeking a Technical Marketing Engineer (TME) to lead technical engagement and market development for our Hospitality vertical, with a primary focus on driving adoption of Cisco Vision / Smart Cameras and related digital experience solutions across global hotel brands, ownership groups, operators, and franchise organizations.
 
This highly customer-facing role serves as the technical link between our hospitality customers and Cisco's Product Management, Engineering, UX, Customer Experience, and Sales organizations. You will spend significant time in the field meeting with hotel brands, visiting customer deployments, participating in industry events, and interacting directly with customers to understand operational challenges, validate product direction, and influence the future of Cisco's Smart Camera hospitality portfolio.
 
Your Impact
 As Technical Marketing Engineer on the Smart Cameras team, you can expect to:
 
<ul>
<li>Serve as Cisco's hospitality technology authority (Cisco Vision, guest-facing digital experiences), traveling up to 50-70% to build positive relationships with hotel brands, ownership groups, and IT leaders while representing Cisco at industry conferences, advisory boards, and executive events.</li>
<li>Serve as the voice of the customer by translating hospitality operational feedback into product requirements, partnering with Product Management, Engineering, UX, and Customer Experience teams to build roadmap priorities, validate concepts through demos/POCs/betas, and identify market trends and competitive opportunities.</li>
<li>Drive adoption of Cisco Vision across hotel brands by developing repeatable deployment strategies and standard methodologies, collaborating with Sales, Partner, and Customer Success teams, while crafting tailored technical demos, presentations, and collateral (deployment guides, reference architectures, white papers) for hospitality use cases.</li>
<li>Partner with Smart Camera hotel customers to document successful deployments into compelling case studies and identify innovative implementations, translating lessons learned into product improvements and developing training content to strengthen field, partner, and customer technical readiness.</li>
</ul>
Minimum Qualifications
 
<ul>
<li>Bachelor's degree with 5+ years of related experience, Master's degree with 3+ years of related experience, or PhD with relevant experience.</li>
<li>Experience in technical marketing, solutions engineering, product management, technical consulting, or customer-facing engineering roles.</li>
<li>Previous work experience in enterprise networking, IP video, digital signage, AV, or hospitality technology ecosystems with hands-on experience supporting 10+ customer deployments or technical implementations at scale.</li>
<li>Previous experience delivering technical presentations and demonstrations to C-level executives, technical teams, and 50+ customer/partner audiences annually.</li>
<li>Willingness and ability to travel 50-70% to customer locations, industry conferences, and Cisco offices, supporting a multi-region customer and partner portfolio.</li>
</ul>
Preferred Qualifications
 
<ul>
<li>Experience working with hotel brands, ownership groups, management companies, or hospitality technology providers.</li>
<li>Demonstrated ability to translate customer requirements into technical product specifications and crafting customer success stories, reference architectures, and executive presentations.</li>
<li>Experience developing technical marketing content, white papers, deployment guides, and customer-facing collateral.</li>
<li>Strong understanding of competitive technologies and market positioning.</li>
<li>Passion for emerging hospitality technologies and improving guest experiences through innovation.</li>
</ul>
Why Cisco?
 
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 We are Cisco, and our power starts with you.
 
Message to applicants applying to work in the U.S. and/or Canada:
 
The starting salary range posted for this position is $124,000.00 to $174,800.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
 Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process.
 
U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time.
 
U.S. employees are eligible for paid time away as described below, subject to Cisco’s policies:
 
<ul>
<li>10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees</li>
<li>1 paid day off for employee’s birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco</li>
<li>Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees</li>
<li>Exempt employees participate in Cisco’s flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations)</li>
<li>80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next</li>
<li>Additional paid time away may be requested to deal with critical or emergency issues for family members</li>
<li>Optional 10 paid days per full calendar year to volunteer</li>
</ul>
For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco’s policies.
 
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows:
 
<ul>
<li>.75% of incentive target for each 1% of revenue attainment up to 50% of quota;</li>
<li>1.5% of incentive target for each 1% of attainment between 50% and 75%;</li>
<li>1% of incentive target for each 1% of attainment between 75% and 100%; and</li>
<li>Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.</li>
</ul>
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
 
The applicable full salary ranges for this position, by specific state, are listed below:
 
New York City Metro Area: 
$138,100.00 - $226,000.00
 
Non-Metro New York state& Washington state: 
$124,000.00 - $201,000.00
 <ul>
<li>For quota-based sales roles on Cisco’s sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined.</li>
</ul>
** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Technical Marketing Engineer

Chewy

<div>Job Description:
Our Opportunity 
Chewy is looking for a passionate, data-driven Senior Merchandising Operations Analyst to join our Catalog Operations Team based in Plantation, FL or Boston, MA.
Catalog Operations sits within the larger Merchandising Operations group, which is responsible for creating the systems, services, and process infrastructure that support all Chewy businesses. The team&rsquo;s mission is to be the backbone for Chewy&rsquo;s Business and Category teams, helping drive long-term customer trust, business growth, and profitability. We own Catalog, Content, and Vendor Systems &amp; Services that include automation, product, program, and operational components.
The ideal candidate will bring a strong mix of information systems knowledge, merchandising business process expertise, data analysis capability, and a forward-looking mindset toward automation and AI-enabled process improvement. This person will play a key role in owning and improving catalog data completeness across Chewy&rsquo;s item-level data, ensuring that our catalog is accurate, complete, usable, and optimized to support customer discovery, product detail page quality, business decision-making, and operational scale.
This role requires someone who is innovative, diligent, and deeply ownership-oriented. The ideal candidate is curious, capable of deep-diving complex data and process issues, and motivated to identify where AI, automation, and improved tooling can create meaningful operational leverage. They should be an advocate for responsible AI adoption, actively seeking opportunities to use emerging tools to improve quality, speed, visibility, and scalability across Catalog Operations.
What You'll Do<ul><li>
Own and improve catalog data completeness across assigned areas of the Chewy catalog, ensuring item-level data is accurate, complete, consistent, and usable for customer-facing experiences, internal operations, and business decision-making.</li><li>
Serve as a subject matter expert independently overseeing a specific body of work or process across 1&ndash;2 high-visibility, high-complexity areas.</li><li>
Execute work within assigned areas, identify and eliminate risks, issues, defects, and process gaps, and create mechanisms to monitor data quality, completeness, and operational performance.</li><li>
Use data analysis to identify catalog completeness gaps, root causes, business impact, and opportunities to improve customer discovery, PDP quality, operational efficiency, and category team outcomes.</li><li>
Champion the use of AI, automation, and scalable tooling to improve Catalog Operations processes, reduce manual work, increase quality, and accelerate decision-making.</li><li>
Partner with technical teams to drive systems improvements, AI-enabled workflows, automation opportunities, and elegant analytical tools with a high degree of autonomy.</li><li>
Develop standard operating procedures, process documentation, reporting mechanisms, and governance routines that improve consistency, scalability, and accountability.</li><li>
Communicate metrics, data insights, completeness trends, AI-enabled opportunities, and business impact to leaders in a way that informs prioritization and decision-making.</li><li>
Synthesize large quantities of complex data into usable, actionable insights for business, operations, product, and technical stakeholders.</li><li>
Support ad hoc projects and initiatives involving Catalog systems, content quality, data completeness, process automation, and operational improvement.</li><li>
Educate and partner with cross-functional stakeholders, including Business, Category, Product, Engineering, Vendor Systems, and Operations teams.</li><li>
Mentor junior team members and contractors when needed.</li></ul>
What You&rsquo;ll Need<ul><li>
BA in Economics, Finance, Business, Computer Science, Engineering, Information Systems, or a related field, or equivalent experience. Master&rsquo;s degree preferred.</li><li>
2&ndash;3+ years of experience in business systems, merchandising operations, catalog operations, data analytics, or a related subject-matter expert capacity.</li><li>
Strong understanding of catalog data, item-level attributes, product content, operational workflows, data quality, or ERP/catalog systems.</li><li>
Background in creating, managing, and improving metrics and KPIs using quantitative analysis.</li><li>
Demonstrated ability to identify process inefficiencies and use automation, AI tools, or scalable mechanisms to improve quality, speed, and operational leverage.</li><li>
Proficient in SQL.</li><li>
Advanced experience with Microsoft Office products.</li><li>
Superior attention to detail and experience creating mechanisms to monitor data integrity, completeness, and operational performance.</li><li>
Strong communication, verbal, written, and interpersonal skills, with the ability to translate complex analysis into summarized business terms.</li><li>
Ability to communicate effectively with technical teams and influence cross-functional stakeholders.</li><li>
An entrepreneurial mindset and a driving passion to challenge, improve, and modernize current processes.</li><li>
Curiosity and openness toward emerging technologies, including AI-enabled tools, and a willingness to test, learn, and responsibly apply them to improve business processes.</li><li>
Demonstrated ability to work in a team environment.</li><li>
Ability to operate in ambiguous environments with speed, ownership, and commitment to quality.</li><li>
Position may require occasional travel.</li></ul>
Bonus<ul><li>
Relevant work experience using Python or R for data analytics.</li><li>
Data visualization skills using Tableau or an equivalent data visualization tool.</li><li>
Experience using AI tools, automation platforms, or machine learning-enabled workflows to improve operational processes, data quality, or analytical efficiency.</li><li>
Prior experience with software quality processes and Atlassian tools such as Confluence and Jira.</li><li>
Prior experience with ERP, PIM, catalog management, or item master data systems.</li><li>
E-commerce background is a plus.</li></ul> 

The base salary range for this role is $78,500 - $130,000.00.<ul><li>
The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate&rsquo;s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.</li></ul>
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com.
Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.</div>

Senior Merchandising Operations Analyst

SNYK

<div>Snyk is the leader in secure AI software development, helping millions of developers develop fast and stay secure as AI transforms how software is built. Our AI-native Developer Security Platform integrates seamlessly into development and security workflows, making it easy to find, fix, and prevent vulnerabilities &mdash; from code and dependencies to containers and cloud.
Our mission is to empower every developer to innovate securely in the AI era &mdash; boosting productivity while reducing business risk. We&rsquo;re not your average security company - we build Snyk on One Team, Care Deeply, Customer Centric, and Forward Thinking.
It&rsquo;s how we stay driven, supportive, and always one step ahead as AI reshapes our world.
Why this role?
We're looking for an experienced Talent Business Partner Director (HRBP) to serve as the strategic people partner to Snyk's global R&amp;D organization - our engineering, product, and design teams building the developer security platform that protects millions of developers.
You'll sit at the table with senior R&amp;D leaders as a trusted advisor on talent strategy, org design, and how we build and scale high-performing technical teams, while staying close enough to the day-to-day to coach managers and unblock real issues as they come up. This role currently operates as an individual contributor with the opportunity to build and lead a team as R&amp;D's people needs grow. 
 
What You&rsquo;ll Do:
<ul><li>Acting as a strategic thought partner to R&amp;D's senior leadership, including VP and C-level stakeholders, on org design, workforce planning, and the people strategy that supports Snyk's product and engineering roadmap.
</li><li>Coaching and developing engineering and product managers at every level - from first-time managers to senior leaders - on team building, performance, and difficult conversations.
</li><li>Partnering with R&amp;D leadership on organizational design, team scaling, and restructuring, bringing a clear point of view on how technical orgs should be structured to move fast without losing cohesion.
</li><li>Leading complex or sensitive employee relations matters within R&amp;D, exercising sound judgment and maintaining in-depth knowledge of the legal and regulatory considerations across the regions where our R&amp;D teams sit.
</li><li>Using people data and workforce analytics to spot trends across the R&amp;D org - attrition, engagement, promotion velocity - and turning those insights into concrete recommendations for leadership.
</li><li>Driving R&amp;D's participation in company-wide talent programs, including talent calibration, compensation reviews, and performance cycles, adapting the process where needed for a technical, global workforce.
</li><li>Identifying and developing high-potential talent within R&amp;D, and partnering with Talent Acquisition on critical technical hiring and succession planning for key roles.
</li><li>Partnering cross-functionally with Total Rewards, Talent Acquisition, Learning &amp; Growth, and People Operations to make sure R&amp;D's people programs are cohesive with the broader Snyk people strategy.
</li><li>Mentoring other members of the People team and contributing a strong point of view to how the wider People function evolves as Snyk scales. 
</li></ul> 
What You Bring:
<ul><li>10+ years of progressive HR/People experience, including several years supporting Engineering, Product, R&amp;D, or another technical organization, ideally in a high-growth software or security company.
</li><li>A track record of partnering directly with senior (VP/C-level) technical leaders as a trusted advisor, not just an execution partner.
</li><li>Strong experience with organizational design and scaling - you have a real point of view on how to structure technical teams as they grow, and you've been in the room for reorgs, not just briefed on them afterward.
</li><li>Sound, consistent judgment on sensitive employee relations matters, with working knowledge of employment practices across multiple countries (Snyk's R&amp;D org spans the US, UK, Israel, Romania, and beyond).
</li><li>A genuinely analytical mindset - you're comfortable pulling apart people data to find the story in it, and you use it to influence decisions rather than just report on them.
</li><li>The ability to operate at multiple altitudes in the same day: advising a VP on succession planning in the morning, coaching a first-time manager through a hard conversation in the afternoon.
</li><li>Excellent written and verbal communication skills, with the judgment to know when a message needs polish and when it needs to be direct and human.
</li><li>Experience building or scaling people programs in a fast-paced, ambiguous environment - you're energized by building the plane while flying it, not just running a mature playbook. 
</li></ul> 
It&rsquo;d Be Awesome If You Also&hellip;
<ul><li>Experience mentoring more junior colleagues across the people organization.
</li><li>SHRM, HRCI, CIPD or equivalent HR certification.
</li><li>Have implemented AI into your daily work life.
</li></ul>Annual Base Salary Range: $215,000 &ndash; $240,000 + 20% annual bonus 
 
Snyk is committed to equal pay for equal work and carefully considers a wide range of compensation factors. Actual compensation may vary based on prior experience, skills, location, internal equity, and other job-related factors. Our Total Rewards program includes, but is not limited to, a 401(k) retirement plan, paid time off, and health, dental, and vision insurance.
#LI-TF1
We care deeply about the warm, inclusive environment we&rsquo;ve created and we value diversity &ndash; we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you&rsquo;re the right person, do apply anyway!
About Snyk
Snyk is committed to creating an inclusive and engaging environment where our employees can thrive as we rally behind our common mission to make the digital world a safer place. From Snyk employee resource groups, to global benefits that help our employees prioritize their health, wellness, financial security, and a work/life blend, we aim to support our employees along their entire journeys here at Snyk.
Benefits &amp; Programs
<ul><li>Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role.
</li><li>Flexible working hours, work-from home allowances, in-office perks, and time off for learning and self development
</li><li>Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers
</li><li>Health benefits, employee assistance plans, and annual wellness allowance
</li><li>Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances</li></ul></div>

Talent Business Partner Director

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