דרושים Senior Product Designer Sales Cloud ב-Salesforce ב-United States, Bellevue

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• Running GTM Programs for Marketing Cloud

  • Establish alignment programs with Sales Operations and Distribution Leaders

  • Drive ongoing collaboration with Product Marketing, Sales Operations, Distribution Leaders, and key partner liaisons for regular Run the Business motions that ensure alignment between Marketing Cloud product and strategy and GTM to maintain pipe generation, ACV growth, customer retention, and product adoption and success

• GTM Strategy & Execution:

  • Run a data driven GTM program that evaluates the evolving market and sales conditions and pro-actively drives decisions in alignment with key stakeholders to keep the business in the best possible position and alignment with distribution needs and execution.

  • Build scalable programs that create up to date and executable sales plays that represent the latest product strategy and position Marketing Cloud for ongoing growth and success

  • Lead the development and implementation of a comprehensive enablement strategy for Marketing Cloud in coordination with Product Marketing.

  • Ensure effective enablement of Solution Engineering, Account Executives, Customer Success, and Partners on Marketing Cloud products, solutions, and value propositions.

• Sales & Partner Support Systems and Programs:

  • Manage and resolve sales escalations efficiently, ensuring timely and effective resolution, including using agents and AI to scale.

  • Develop and implement scaled Solution Engineering (SE) demo and environment programs to support sales efforts that lead Marketing Cloud into a sustainable growth phase and drive convergence to Marketing Cloud Next

  • Establish and optimize deal support processes for front-line sales staff and management.

• Content & Program Development:

  • Create and disseminate roadmap enablement and distribution programs for both internal teams and external partners.

  • Develop and implement Transformation Plan Enablement programs for internal stakeholders and partners, fostering successful adoption and utilization of Marketing Cloud solutions.

  • Work closely with Adoption and Best Practices teams to establish and leverage materials to create Trailhead and Certification programs for Sales and Partners.

• Experience:

  • Proven experience in a senior leadership role within a Go-to-Market (GTM) or sales enablement function, preferably within the cloud software industry.

  • Demonstrated success in driving ACV growth through sales and partner programs.

  • Extensive experience working with sales teams (Account Executives, Solution Engineers) and channel partners.

• Skills:

  • Strong understanding of Marketing Cloud technologies and the broader MarTech landscape.

  • Exceptional communication, presentation, and interpersonal skills.

  • Ability to build strong relationships and influence stakeholders at all levels.

  • Strategic thinker with a hands-on approach to program execution.

  • Proven ability to manage complex projects and drive results in a fast-paced environment.

Unleash Your Potential

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We're looking for a highly accomplished and senior-level Forward Deployed Engineer with 5+ years of experience to lead the charge on complex AI agentic deployments. This role demands a seasoned technologist and strategic partner who can not only design and develop bespoke solutions leveraging our Agentforce platform and other cutting-edge technologies but also lead technical engagements and mentor junior peers. You'll be the primary driver of transformative AI solutions, operating with deep technical mastery, unparalleled problem-solving prowess, and a relentless focus on delivering tangible value in dynamic, real-world environments, from initial concept to successful deployment and ongoing optimization.

As a Forward Deployed Engineer, you'll be at the forefront of bringing cutting-edge AI solutions to our most strategic clients. This isn't just about coding; it's about deeply understanding our customers' most complex problems, architecting sophisticated solutions, and leading the end-to-end technical delivery of innovative, impactful solutions that leverage our Agentforce platform and beyond. You'll be a hands-on leader, shaping technical strategy and ensuring successful outcomes.

• Drive Tangible Outcomes through Hands-On Implementation:Be responsible for the end-to-end technical delivery of complex AI solutions, personally writing critical code, configuring systems, and troubleshooting issues, while also guiding and reviewing the work of junior team members to ensure successful deployment and measurable business impact.

• Build Transformative AI Solutions:Take primary ownership of designing, developing, and personally implementing high-quality, scalable production systems. A significant part of this will involve architecting and deploying complex AI and Large Language Model (LLM) based intelligent agents and automated workflows, all built on top of the Salesforce platform.

• Engineer Bespoke Agentic AI Solutions:Work directly with customers to design and build custom intelligent agents using the Agentforce platform, ensuring they precisely meet unique business requirements and integrate seamlessly with existing customer ecosystems.

• Data Configuration & Integration :Own the entire data lifecycle, from strategic design of data models to hands-on building of efficient processing pipelines and establishing seamless integration strategies. You'll ensure data is always ready, optimized, and secure for our advanced AI applications, often navigating complex enterprise data environments.

• Proactively Remove Technical Blockers:Identify, analyze, and directly resolve the most complex technical challenges during all phases of solution delivery, from intricate data integration to sophisticated model deployment and advanced agent orchestration. You'll be the ultimate go-to expert for unblocking progress.

• Drive Agentforce Innovation:Become a foremost expert in our innovative Agentforce platform, pushing its capabilities to the limit. You'll lead the development of bespoke intelligent agents, automate intricate business processes, and craft intuitive user experiences. Your insights from the field will directly influence future product enhancements and help shape the strategic direction of our platform, often representing the voice of the customer in product discussions.

• Become a Trusted Strategic Partner:Embed yourself deeply with client teams to truly grasp their operational challenges and strategic goals. You'll translate these nuanced needs into clear, actionable technical requirements and solution designs, building strong relationships as their primary technical advisor and leading technical discussions.

• Conduct Deep-Dive Technical Debugging and Root Cause Analysis:Perform detailed analysis, debugging, and root cause identification for complex system interactions, data flows, and AI model behaviors to optimize performance, ensure reliability, and prevent recurrence of issues.

• Lead Rapid Prototyping and Iteration:Quickly develop proofs-of-concept and minimum viable products, often coding alongside client teams to demonstrate capabilities and gather feedback for iterative refinement, setting the pace for rapid delivery.

• Implement and Enforce Best Practices:Directly apply and evangelize engineering best practices for code quality, scalability, security, and maintainability across all deployed solutions, serving as a technical role model.
  

• 5+ years of experience in a hands-on, end-to-end delivery role for high-quality, scalable production solutions in a professional environment

• Strong background in Computer Science or a related engineering discipline

• Expert-level proficiency in one or more programming languages (e.g., JavaScript, Java, Python, Apex)

• Extensive hands-on experience building and deploying solutions with AI/LLM technologies, including integrating LLMs, applying advanced AI orchestration frameworks (e.g., LangChain, LlamaIndex), prompt engineering techniques, and experience with agentic frameworks

• Deep expertise in data modeling, processing, integration, and analytics, with demonstrable proficiency in enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks, BigQuery)

• Demonstrated entrepreneurship, a "get-things-done" attitude, and a focus on fast, impactful delivery, with a proven ability to lead technical initiatives

• Exceptional collaboration, communication, and presentation skills, both written and verbal, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders

• Proven ability to lead technical engagements, mentor junior team members, and oversee technical aspects of projects

• Ability to travel 25-50% of the time, as needed to customer sites
  

• Experience developing and deploying conversational AI solutions within highly regulated industries

• Expert-level experience with Apex and/or Python coding languages in a professional setting

• Prior experience in a customer-facing, hands-on technical lead or architect role

• Advanced Salesforce platform certifications (e.g., Platform Developer II, Application Architect, System Architect)

• Deep knowledge across Salesforce CRM (Service, Sales, and Marketing Clouds)

• Extensive experience with Salesforce Flows and Lightning Web Components (LWC), including complex custom development

• Experience contributing to open-source AI frameworks or libraries

• Experience with Salesforce preferred, not required

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and

If you require assistance due to a disability applying for open positions please submit a request via this.

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Responsibilities:

* Lead the design, development, and operation of Salesforce's global DNS infrastructure, spanning Public Cloud platforms (like AWS, GCP) and privately owned datacenters.
* Own the full DNS stack including authoritative and recursive servers, control planes, telemetry, alerting, and lifecycle automation.
* Ensure the availability, correctness, and fault tolerance of DNS services with a relentless focus on uptime and performance. (24x7x365)
* Lead the response and root cause analysis of DNS-related incidents with a strong emphasis on continuous improvement and learning.
* Guide architectural decisions, oversee complex migrations, and ensure scalable, automation-first solutions are implemented.
* Drive long-term vision for DNS within the company, including the evolution of service discovery and name resolution systems.
* Partner with engineering, infrastructure, security, and product teams to align DNS systems with broader platform and business goals.
* Represent DNS in company-wide initiatives and ensure that services meet the needs of internal and external stakeholders.
* Lead the recruitment, development, and mentorship of a diverse team of engineers and operations staff. This includes driving hiring strategies, guiding performance, and fostering a culture rooted in ownership, technical excellence, and continuous learning.
* Establish and monitor SLAs, KPIs, and operational metrics to ensure the team delivers against business and technical goals.
* Provide input to strategic planning, resource forecasting, and budget allocation related to DNS and infrastructure services.
* Effectively manage vendor relationships with our third party providers.
* Experienced dealing and operating with domain name registries and registrars.

Required Skills:

* Deep knowledge of DNS protocols, architectures (authoritative and recursive), caching strategies, and anycast/multicast network principles.
* Strong leadership and management capabilities, effectively guiding and developing engineers at all levels of experience.
* Effective communicator with experience translating technical topics into business value and strategic impact with a proven ability to influence and persuade both technical and non-technical audiences.
* Experience operating critical Internet infrastructure and services with High Availability and resiliency requirements.
* Understanding of managed DNS providers and internal service discovery mechanisms. Proficient in operating systems in AWS, GCP, or Azure, including services like EC2, VPC, Lambda, S3, IAM, and Route 53.
* Understanding of Infrastructure as Code (IaC) tools like Terraform, CI/CD concepts/tools ,monitoring/observability/alertingtools (Grafana, Thousand Eyes).
* Background as a senior software development engineer with experience in hands-on design, coding and deploying large-scale applications with high availability and high security requirements.
* Strong understanding of how Artificial Intelligence (A.I.) and Machine Learning (ML) technologies can be applied to infrastructure management, aiding software development, capacity forecasting, operations augmentation, support intake, and cost optimization.
* Familiarity with predictive modeling, data science, and the application of analytics to cloud resource management.

Desired Skills

* 10+ years of experience in software engineering or infrastructure operations, with at least 5 years in a technical leadership or management role overseeing large-scale distributed systems.
* Proven experience designing, operating, and scaling DNS systems (authoritative and recursive) in a production environment.
* Strong technical understanding of cloud platforms such as AWS, GCP, or Azure, and Cloud/Container orchestration platforms like Kubernetes.
* Strong understanding of networking fundamentals, including, IP routing, Anycast, DNSSEC, and service discovery architectures.
* Past experience as a senior software development engineer or principal-level contributor with a strong grasp of object-oriented design and backend systems.
* Familiarity with SRE principles, including incident response, operational metrics, root cause analysis, and building fault-tolerant systems.
* Demonstrated ability to drive cross-functional alignment and influence stakeholders at all levels, including executive leadership.
* Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. Equivalent industry experience also considered.

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Job Duties

Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline, and two (2) years of experience in the job offered or in any occupation in a related field.

A related technical degree required (Computer Science, Engineering (any field)).

Special Skill Requirements: (1) Designing and developing large-scale, multi-tiered, embedded and distributed software applications, tools, systems, and services using Java; (2) Application integration using SOA and web services; (3) XML; (4) Develop, enhance, debug, support, maintain and test software applications; (5) Providing technical direction and system architecture; and (6) Oracle

Any suitable combination of education, training and/or experience is acceptable.

: $143,300.00 - $218,300.00 per annum.

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on key performance indicators (KPIs) such as lead generation, conversion rates, and revenue growth. This role strategizes and executes testing and optimization work to enhance campaign results and drive more pipeline. Success in this role includesexpanding reach, scaling effectively, taking a data-driven approach, and prioritizing automation, and scalable initiatives.

• Oversee the end-to-end execution of integrated digital campaigns, including planning, development, launch, optimization, and reporting

• Continuously monitor and optimize the performance & operations of key digital channels (paid search, paid social, SEO, web, display, social, email, etc.) to maximize cost effeciences and achieve KPIs

• Manage projects to maintain and enhance web experiences and digital resources

• Implement and improve upon our current SEO strategy

• In partnership with stakeholders, develop in-depth content strategy based on keyword research and insights

• Own and execute on the optimization roadmap for key digital channels

• Support our data analysts on translating data observations into actionable insights and strategic recommendations

• Lead management infrastructure and processes to enable our digital channel engine to scale

• Support partner-facing paid media strategy and execution

• Using AI to optimize and automate work, including testing and trying new tools

• 7+ Years of relevant experience operating in a similar capacity

Effective Collaboration and Communication:

• Serve as a liaison between PMM, web experience managers, digital channel SMEs, and other stakeholders from project conception to launch

• Proactively reach out and communicate with stakeholders on steps, timelines, and project updates

• Notify stakeholders about initiatives, validate the asks, and obtain approvals and sign-offs promptly

• Collaborate and manage agency and vendor relationships

Detail-oriented:

• Manage content and matrixes

• Ability to self-organize while adhering to our best practices

• Keep all your work and resources for projects in the required format, process, and practice provided

Relationship Building:

• Ensure we are bringing subject-matter expertise to digital channel strategy

• Continue to build and develop trusted relationships with our stakeholders to strengthen collaboration; support more senior marketers on predefined tasks and projects

• Contribute positively to team culture; be viewed as a team player

• Lead team meetings and encourage others to contribute

• Lead the charge with process improvements, adapting to changes as directed by senior team members

• Coach, mentor, and educate others

A Strategic and Critical Thinker and Problem Solver:

• Partner with the analytics team to glean insights from digital performance metrics and recommend optimizations

• Be flexible and comfortable navigating ambiguity

• Be creative in solving complex problems

• Be open to change and pivoting to meet the needs of the business

Marketing and Technical Competencies:

• Define requirements for each digital channel (paid media, SEO, web experiences, email, social, etc.)

• Learn how marketing functions impact the business, and how the business contributes to the goals of the company

• Proactively seek out training, development, and growth opportunities to become a marketing leader

• Stay up-to-date on industry trends and best practices

• Proficient in our main tools:

  • SEO: Google Search Console, Semrush, BrightEdge, OnCrawl

  • Web Analytics: GA4, GTM

  • Web Experiences: Wordpress, Salesforce CMS, HTML, Page Builder

  • Paid: SEM, paid social, content syndication, display, OLV, CTV, direct buys

  • Others: Canva, LLMs

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What you’ll do:

• Design and deliver scalable generative AI services that can be integrated with many applications, thousands of tenants, and run at scale in production.

• Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring and root cause analysis.

• Participate in periodic on-call rotations and be available for critical issues.

• Partner with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production

• Participate in meal conversations with your team members about really important topics, such as: Should the cuteness of panda bears be a factor in their survivability? Is love a decision tree or a regression model? How far ahead would society be today if we had 12 fingers instead of 10?

Required Skills:

• 8+ years of industry experience of ML engineering in building AI systems and/or distributed services.

• Bachelors (or) Masters degree in Computer Science, Software Engineering, or related STEM field with strong competencies in algorithms, data structures and software design.

• Experience building distributed microservice architecture on AWS, GCP or other public cloud substrates

• Experience using modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies

• Proven ability to implement, operate, and deliver results via innovation at large scale

• Strong programming expertise in JVM-based languages (Java, Scala) and Python.

• Experience with distributed, scalable systems and modern data storage, messaging and processing frameworks, including Kafka, Spark, Docker, Hadoop, etc.

• Grit, drive and a strong feeling of ownership coupled with collaboration and leadership.

Preferred Skills:

• Understanding of MLOps/ML Infra workflows, processes and ML components

• Strong experience building and applying machine learning models for business applications

• Working or academic knowledge with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies

• Fantastic problem solver; ability to solve problems that the world has not solved before

• Excellent written and spoken communication skills

• Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams

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Responsibilities

* Architect and implement ETL platforms with open-source technologies such as Spark on Kubernetes, EMR, S3 / SQS, Iceberg, DeltaLake, etc.
* Advance and operate the ETL platforms in a full DevOps model
* Operate in an Agile development environment, including participating in daily scrums
* Support the team’s engineering excellence by performing design reviews, code reviews and mentoring junior team members
* Provide on-call support

Required Skills/Experience

* B.A/B.Sc. in Computer Science/Engineering with 4+ years of industry experience
* Extensive experience building large scale distributed systems using cloud services (AWS, GCP , Azure, etc..)
* Deep understanding of object oriented programming and experience with at least one object oriented programming language (Java, Python)
* Experience with Big Data platforms such as Apache Spark, EMR, EKS, Flink
* Experience building services with Docker and Kubernetes
* Experience with Scrum or other agile development methodologies, with attention to code quality , delivering secure code
* Excellent written and verbal communication skills with outstanding attention to detail
* Have a passion for working together as a team and ensuring team members’ success. Lead and mentor junior members of the team.

Desired Skills/Experience

* Experience with relational and NoSQL databases, message queues (Kafka, SNS/SQS, etc), and other components in data pipelines
* Experience building services with Terraform, Helm, Ansible, and Spinnaker
* Strong fundamentals knowledge in security concepts:authentication/authorizationframeworks (e.g., SSO, SAML, Oauth), secure transport (e.g., SSL, TLS), identity management (e.g., certificates, PKI)
* Good knowledge with operating system and network technologies, such as TCP/IP , DNS, or LB

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