דרושים » הנדסה » DTC Operations Specialist

We are seeking a highly driven, hands-on Operations Production Engineer to join our Operations & Manufacturing team. In this role, you will serve as the primary operational link to our Contract Manufacturers (CMs), drive the end-to-end NPI handoff process into steady-state production, manage legacy product lines, and streamline the production-side RMA pipeline.
If you thrive in a high-growth, fast-paced hardware environment, love diagnosing complex manufacturing challenges, and are passionate about continuous improvement, this is the role for you.
Key Responsibilities:
Contract Manufacturer (CM) Management & Line Ownership:
CM Operations & Execution: Drive day-to-day operational and technical alignment with external CMs to ensure high build execution, product yield, and strict adherence to quality and schedule targets.
Manufacturing Bottlenecks: Identify and resolve yield drops, component shortages/substitutions, or assembly issues directly with vendor engineering teams.
ECO/ECN Release: Oversee engineering change implementation across active production runs at the CM, maintaining clear configuration control.
NPI Composition Handoff & Legacy Product Support:
NPI to Production Handoff: Lead the operational composition and transfer of new product introductions (NPI) from R&D into scalable volume manufacturing at the CM level.
Legacy Product Management: Maintain operational health, sustaining engineering, and end-of-life (EOL) management for legacy product lines to ensure ongoing delivery stability.
Process Documentation: Define standard operating procedures (SOPs), assembly routing, build packages, and work instructions for incoming product variants.
Production RMA Process:
RMA Pipeline Management: Take ownership of the production side of the Return Merchandise Authorization (RMA) process, ensuring rapid triage, dispositioning, and turnaround times.
Feedback Loop: Feed critical quality, design, and manufacturing insights back to R&D and Quality teams to drive design-for-manufacturability (DFM) improvements.
Continuous Improvement:
Yield & Efficiency Optimization: Track key operational metrics (First Pass Yield, Scrap, Cycle Time) and implement engineering fixes to minimize waste and reduce lead times.
Tooling & Fixturing: Coordinate with suppliers to design, validate, or upgrade assembly fixtures, jigs, and test setups.

We are looking for a highly analytical, deeply technical, and proactive Senior Salesforce and Business Applications Analyst to join our team. In this role, you will champion an AI-first approach, leveraging AI across every aspect of your work to optimize efficiency and drive innovation.
You will bridge the gap between business needs and technical execution, taking full ownership of complex systems and driving end-to-end processes. Your focus will be on supporting, enhancing, and automating our operations across various Gett business domains, including Sales, Service, and Marketing.
This hands-on role encompasses managing daily system maintenance, configuring systems, integrating AI-driven workflows, and overseeing projects from inception to completion.
Key Responsibilities:
End-to-End Project Management: Manage complex, cross-functional projects from initial ideation, through requirements gathering, to successful deployment and optimization.
Drive Innovation & Initiative: Act as a proactive change-agent. Identify business gaps, propose innovative solutions, and passionately push new initiatives forward to improve efficiency and performance.
System Ownership: Take full accountability and end-to-end ownership of the systems health, functionality, and alignment with business goals.
Mentorship & Leadership: Guide, mentor, and upskill junior team members, fostering a culture of continuous learning and professional excellence within the team.

We are looking for a CS AI Business Partner to help Customer Success turn AI strategy into practical business impact.
As CS scales, operational complexity around support, escalations, incidents, customer communication, knowledge management, services, and proactive customer management continues to grow. AI creates a major opportunity to improve efficiency, customer experience, visibility, and proactive service - but capturing that value requires dedicated ownership close to the business.
The CS AI Business Partner will consume the company-wide AI strategy, standards, and operating model led by AI Mind, and tailor them to the specific needs of the CS department across People, Processes, Technology, and Performance.
This is a hands-on business partner role. The person will partner with CS leadership, CS Ops, CX Delivery, Support, Services, CXE, AI Mind, and AI RevOps to identify high-impact opportunities, build and operationalize AI-powered workflows, agents,

We are looking for a sharp and driven Data Solutions Analyst to join a newly formed team and help build the analytical foundations behind some of our strategic growth initiatives from the ground up. This is a unique opportunity to influence how new businesses operate and scale across Amazon, D2C, Paid Media, and emerging growth channels. You will have ownership over both the measurement frameworks and the solutions that drive business growth.

Working at the intersection of Data, Marketing, Product, and Business, you will identify opportunities, define success metrics, uncover insights, and build the solutions needed to turn those insights into action. This role combines analytical ownership with hands-on solution development, leveraging data, automation, AI, and modern tooling to solve business challenges end-to-end. Success in this role is measured not only by the quality of your analysis, but by your ability to translate business challenges into scalable solutions that drive measurable impact.

Roles and Responsibilities:
Build analytical infrastructure, measurement frameworks, and decision-support capabilities from the ground up for new and rapidly growing business units.
Evaluate performance across Amazon, D2C, Paid Search, Paid Social, and emerging channels, identifying growth opportunities, business risks, and areas for optimization.
Translate business challenges into scalable solutions by combining AI powered automation, agents, workflows, and building tools that drive business impact.
Design, build, and maintain dashboards, monitoring systems, analytical products, and self-service tools that enable teams to make faster and better decisions.
Own the Semantic Layer: Maintain and scale our unified BigQuery Semantic Layer, ensuring a single source of truth for business and analytics metrics.
Partner closely with Marketing, Product, and Business stakeholders to understand business needs and drive end to end solutions from idea to implementation.

we are looking for a User Acquisition Manager .
As an Expert Search User Acquisition Manager, you will help our acquisition efforts, be responsible for setting, optimizing, and scaling campaigns on Search campaigns (Google and Bing ads). You'll work closely with the bigger team, providing actionable insights and sharing best practices and knowledge.
What you'll be doing:
Set, optimize, and scale search campaigns in order to achieve KPIs
Share actionable insights and knowledge with existing PPC account managers.
Analyze performance based on ROI and engagement to drive actionable insights
Co-initiate and implement teams performance oriented projects, constantly seeking improvement opportunities
Work together with CS, Sales and product to optimize every step of the funnel
Work closely with the creative and content teams to improve Conv Rate
Identify trends and constantly come up with new growth opportunities
Initiate, structure and measure AB tests on landing pages
Combine business and creative thinking to understand user pain points, identify growth opportunities, and translate insights into practical actions that improve campaign and funnel performance.

Required Technical Support Engineer
Are you up for the challenge?
As a Technical Support Engineer you will
Respond promptly and professionally to customer inquiries via phone, email, or chat, providing technical support and troubleshooting assistance.
Work to meet and exceed internal and external SLAs
Identify and diagnose software issues, and guide customers through step-by-step resolutions.
Escalate complex technical issues to higher-level support teams when necessary, ensuring proper documentation and follow-up.
Assist customers with product installations, configurations, and updates.
Collaborate with cross-functional teams, including developers and engineers, to address customer concerns and provide effective solutions.
Document and maintain records of customer interactions, inquiries, comments, and actions taken, utilizing the ticketing system.
Provide proactive customer education and self-help resources to reduce repetitive inquiries and improve customer satisfaction.
Collaborate with the Quality Assurance team to identify and report software bugs and usability issues.
Help develop and implement support methodologies, build workflows and define support operations
Gather customer feedback and share it with QA, R&D, Engineering, and Production teams.
Strive for best-in-class support experience and drive exceptional CSAT results
Stay up-to-date with product knowledge, industry trends, and technology advancements to provide accurate and efficient support.

our companys Forecasting & Analytics group is seeking a Revenue Forecasting Lead - a strategic, analytical, and collaborative professional who understands how global GTM organizations operate and how RevOps drives growth at scale. This role sits at the heart of our revenue engine, partnering closely with senior GTM leadership across regions and business units.
As a Revenue Forecasting Lead, you will support and orchestrate the companys global forecasting cadence. You will ensure accuracy, consistency, and clarity in how we understand performance, assess risk, and plan for growth. You will support executive level business rhythms, build processes that enhance operational visibility, and help the company navigate the challenges and opportunities of a fastmoving cybersecurity market.
This is a role for someone with proven experience, exceptional interpersonal skills, and the ability to bring structure, insight, and confidence into complex, high pressure decision environments.
Key Responsibilities
Support Key Forecasting Cadences: Provide analytical and operational support across several core forecasting processes, ensuring accuracy, consistency, and clarity for senior GTM leadership
Enable Matrixed Forecasting Across Business Owners: Partner with regional leaders, segment owners, and cross functional stakeholders to consolidate inputs, validate assumptions, and maintain alignment across a distributed forecasting ecosystem
Develop Insight Driven Forecast Models - Build and refine analytical frameworks, models, and AI supported tools that improve forecast accuracy and business predictability.
Enhance Operational Visibility - Create processes and insights that help leadership monitor performance, understand trends, and make data driven decisions that support company growth.

The Customer Engineer serves as the technical bridge between Koi engineering and Palo Alto's customer-facing teams, enabling Domain Consultants and support teams to successfully run POVs, deploy Koi, and support customers at Job Description
We are looking for a highly technical and customer-focused Customer Engineer to join the Koi team. This role operates at the intersection of engineering, support, and pre-sales solutions, and is critical to scaling Koi across Palo Alto Networks.
As a Customer Engineer, you will sit closely with the Koi engineering team and develop deep expertise in Koi's architecture, capabilities, and roadmap. You will enable Domain Consultants (DCs) to effectively run Proof of Value (POV) engagements, and empower support teams to deliver high-quality service to customers using Koi. In this role, Customer Engineers translate live customer issues into actionable engineering fixes, taking full ownership of the bug-resolution lifecycle and the safe deployment of updates directly to customers.
Key Responsibilities
Act as a technical bridge between Koi engineering and Palo Alto customer-facing teams
Own the end-to-end resolution of technical issues, from diagnosing complex bugs to managing their seamless deployment to customer environments.
Develop deep expertise in Koi's product, architecture, and internal systems
Enable Domain Consultants (DCs) to successfully run POVs, including deployment, troubleshooting, and demonstrating value to customers
Support Palo Alto support teams in diagnosing and resolving customer issues
Build internal tools and systems that allow DCs and support teams to answer questions and perform initial triage independently
Improve scalability by reducing dependency on engineering for routine support and POV-related issues
Own or lead triage of the most complex and high-impact customer issues
Partner with engineering to identify root causes and drive long-term fixes
Identify recurring friction points in POVs and customer deployments, and work to eliminate them
Contribute to internal documentation, troubleshooting guides, and playbooks
Impact:
Provide the team with seamless technical resolutions to unblock customer issues
Increase success rate and quality of POVs led by Domain Consultants
Improve customer onboarding and time-to-value for Koi
Reduce escalation load on engineering teams
Improve overall customer experience and product reliability.

We're looking for a Product Data Analyst to help us find the opportunities hiding in our data and turn them into real product improvements.
You'll be part of the Analytics team, embedded in product decisions from early question to final recommendation. You will be tackling analytical questions, monitoring the metrics that matter, and surfacing insights that actually change how we build
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role youll:
Collaborate with Analytics, Product, and Data teams to sharpen business decisions.
Initiate analyses and generate reports for feature tracking, experiments, and product health monitoring
Design A/B tests across our flows and processes to build better products
Analyze data using Snowflake, Python, and other platforms
Present key findings to stakeholders across the company, turning data into clear, actionable direction
Map new data domains and identify signals that push our product forward

We are looking for a sharp Marketing Analyst to join our Marketing Analytics team and help drive data-driven growth. In this role, you will combine marketing and business expertise with scalable analytical solutions and innovative measurement methodologies. You will collaborate with internal teams and external partners to enhance measurement capabilities, uncover growth opportunities, and support optimized investment decisions. This role is essential to scaling our marketing efforts through deep insights and strategic analysis. If you have previous experience in Paid Search and Affiliate marketing and are passionate about data-driven growth, this might be a good fit for you.

Roles and Responsibilities:
Analyze and measure marketing performance across Paid Search, Affiliate, and additional marketing channels.
Evaluate marketing investment efficiency and identify new optimization opportunities.
Build analytical frameworks and scalable data solutions for the Growth team.
Collaborate with affiliate partners and third-party vendors to evaluate performance, attribution, and partnership effectiveness.
Develop AI-driven analytical solutions and measurement capabilities.