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Position Summary
An expanding telecommunications infrastructure organization is seeking a Director of OSP Engineering to oversee the planning, design, and permitting of fiber network infrastructure. This leader will guide a team responsible for developing scalable network designs that support continued broadband expansion across multiple markets.
The role requires a strategic leader who can build effective engineering processes, maintain strong relationships with municipalities and regulatory bodies, and ensure engineering activities support construction timelines and long-term network performance.
Responsibilities
- Lead all outside plant engineering functions including fiber network design, field engineering, drafting, and permitting coordination.
- Manage and develop an engineering organization consisting of internal staff and third-party design partners.
- Ensure engineering deliverables are accurate, complete, and aligned with construction schedules.
- Develop and maintain a pipeline of engineering work to support ongoing network build programs.
- Oversee planning and management of fiber capacity and network routing.
- Implement processes that maintain consistency, quality, and efficiency across engineering deliverables.
- Build relationships with municipalities, utilities, and other governing bodies to support permitting and right-of-way approvals.
- Coordinate closely with construction, operations, and vendor teams to ensure smooth project execution.
- Monitor key operational metrics related to engineering output, project readiness, and cost efficiency.
- Provide leadership, mentorship, and performance management for engineering staff.
Team Leadership
The Director will lead a growing engineering organization consisting of design engineers, permitting professionals, and administrative support personnel. The team includes both direct and indirect reports supporting the overall outside plant engineering function.
Qualifications
- 8+ years of experience in telecommunications, outside plant engineering, or fiber network construction
- Demonstrated experience managing engineering teams and supporting large-scale infrastructure deployments
- Strong understanding of fiber network architecture and outside plant design principles
- Experience working with permitting processes and municipal stakeholders
- Ability to lead multiple concurrent initiatives in a fast-paced environment
- Strong leadership, communication, and organizational skills
Preferred
- Bachelor's degree in Engineering, Business, or a related discipline
- Experience with engineering and network design platforms such as GIS, CAD, ESRI, Vetro, or similar tools
Opportunity
This position offers the opportunity to play a key leadership role in the development and expansion of next-generation fiber infrastructure while building and shaping a growing engineering organization.
LocationAtlanta, Georgia
Full/Part TimeFull-Time
Regular/TemporaryRegular
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About Us
About Georgia Tech:
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.
Georgia Tech's Mission and Values:
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
Students are our top priority.
We strive for excellence.
We thrive on diversity.
We celebrate collaboration.
We champion innovation.
We safeguard freedom of inquiry and expression.
We nurture the wellbeing of our community.
We act ethically.
We are responsible stewards.
Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.
About the School of Aerospace Engineering:
For more than two decades, the Daniel Guggenheim School of Aerospace Engineering has consistently ranked among the nation's top 5 aerospace engineering programs, attracting aspiring engineers to pursue their academic journeys at the nations No. 1 public institution for aerospace engineering. With an esteemed faculty of more than 50 tenured-track professors and a thriving student body of over 2,000 individuals, the School is uniquely positioned to offer a comprehensive and hands-on approach to research, scholarship, and education, spanning fixed-wing aircraft, rotorcraft, and space domains.
Location
Atlanta, GA
Job Summary
The School of Aerospace Engineering ( ) at the Georgia Institute of Technology invites applications for multiple tenure-track faculty positions. Applicants will be considered at all ranks and in any technical areas of relevance to aerospace systems, interpreted broadly. These areas include artificial intelligence and dynamical systems.
Typically reporting to the School Chair, the Professor is a tenured/tenure-track faculty member who performs a combination of teaching, research, and service. Professors may hold administrative appointments as long as the majority of their time is dedicated to teaching, research, and service. Professors hold a terminal degree and have normally spent three or more years at the rank of Associate Professor. The position is located at the Atlanta Campus, Atlanta Georgia.
Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, inquiry and innovation, collaboration, community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.
Responsibilities
It is an exceptionally dynamic period in the aerospace community with many opportunities for research discoveries and new technology development to shape the future of the field in aviation, space exploration, and vertical lift.
We seek exceptional applicants motivated to "Create the Next in Aerospace" by performing innovative research and creating inspiring learning environments at both the undergraduate and graduate levels. Emphasis will be placed on the originality of the applicant's work, and its potential impact on the field.
Those applying for Associate and Full Professor positions should have established records in research that demonstrates nationally and internationally recognized expertise. Candidates are expected to teach and mentor a diverse student body. Along with undergraduate and graduate teaching, each position requires a balance of research and service responsibilities.
Required Qualifications
An earned Ph.D. or Sc.D. in Aerospace Engineering or closely related field is required by the start of the appointment.
Required Documents to Attach
Applicants should submit a letter of application; curriculum vitae; a statement of research interests; a description of teaching interests as well as their advising/mentoring philosophy; a statement on how their professional and academic experiences have prepared them to support and apply Georgia Tech's values, which are described in our strategic plan (); and the names and contact information for 3-5 references.
Requests for information may be directed to . The recommended submission date is December 1, 2025. The search will continue until the positions are filled. An earned doctorate is required by the start of the appointment, and a background check must be completed prior to beginning employment. Application materials should be submitted as PDF files via employment/careers.
Contact Information
For additional information, please contact
USG Core Values
The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.
Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.
Equal Employment Opportunity
The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.
Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia (USG) and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individuals race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.
Other Information
This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.
Background Check
Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening
Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee, whether a team member of Etsy or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and keeping commerce human.
Salary Range: $252,000.00 - $328,000.00
What's the role? We are looking for a Senior Engineering Manager to lead our Models team. In this role, you will manage a team of motivated ICs to build the next generation of Etsy's models platform, which in turn will enable your customer teams to improve the quality of search, ads, recommendations, and other ML applications for nearly 100M buyers and over 5M sellers. Do you have a passion for training, serving and scaling machine learning models? Are you excited by the challenges of building a platform for diverse machine learning use cases? Are you motivated to lead and develop ICs at different stages of their careers? If so, this could be the perfect match. This opportunity is a full-time position reporting to the Director of Engineering for ML Enablement. This position will be in Brooklyn, NY or for remote candidates based in the United States.
What's this team like at Etsy? The Machine Learning Enablement Initiative builds and maintains a complete ecosystem of ML systems including our feature & embeddings store, model training, serving, orchestration and testing infrastructure. The Models team is responsible for the model catalog, APIs, and serving infrastructure that runs our online models at high scale (millions of inferences per second). It is a small team historically focused on operations, but transitioning to play a more direct role in the application layer. The team is presently leading Etsy's migration from Tensorflow to Pytorch, building upon an innovative architecture designed in-house and based on KServe, NVIDIA Triton, Apache Arrow, and Ray. We are using this opportunity to fill in historical gaps in automation, integration, and standardization across the ML platform. We aspire to unify modeling approaches across all major ML development teams at Etsy. This is a big, challenging opportunity to influence how models are created, trained, and deployed across the entire company!
What does the day-to-day look like? Meet with customers to understand their latest use cases. Work with your team and partners to translate those use cases into concrete requirements. Offer an informed point of view on engineering, system design, and machine learning considerations. Keep track of ongoing issues (stability, performance, cost) with models on the platform, and identify short-term fixes and long-term platform improvements. Maintain a product roadmap, lead agile processes and plan workstreams for a team of 4 ICs. Occasionally lead multi-functional \"tiger teams\" for dedicated projects. Coach your ICs and support their career development trajectories. Own and maintain the team's customer-facing surfaces: documentation, code examples, metrics, dashboards, UIs, launch announcements, etc. We are proud of our engineering culture that encourages career growth and learning in a blameless environment. You can learn more about our philosophies, tools, and some of the challenges we've been solving on our Engineering blog. Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law.
Qualities that will help you thrive are: A strong track record of developing and serving machine learning models at scale, with at least 4 years in a leadership capacity (tech lead or EM) and 2 years as an engineering manager. You like to be deep in the technical work, but you can also build partnerships across teams in a highly collaborative environment. Passion for building platforms that don't just work, but that are easy to maintain and extend, and are delightful to use. You are a strong collaborator, communicator, and coach and you are passionate about helping the engineers around you grow and learn. You have 5+ years of experience building, iterating and solving complex problems with a significant backend component. Background and hands-on experience with Cloud technologies (Google Cloud, AWS, Kubernetes) is a plus.
Additional Information If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Degree in computer science, statistics, or related field; or equivalent experience
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Degree in computer science, machine learning, statistics, or related field
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
#LI-SM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$163,418—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Chief Executive Officer – Highly Engineered Metal Components Manufacturing – Private Equity, 78996
Our client is a private equity-backed manufacturer of highly engineered metal components, headquartered in the Seattle, Washington area. The company serves a diverse range of end markets, including aerospace, medical, industrial, agricultural, and commercial sectors, with a strong presence across the Pacific Northwest and beyond. Recognized for its commitment to quality and reliability, the organization is well-established and strategically positioned for continued growth through both organic initiatives and acquisitions.
The company is seeking a hands-on, growth-oriented Chief Executive Officer to lead and develop a high-performing team while shaping and executing a strategy focused on expanding customer wallet share. Additionally, this individual will be responsible for driving growth through new market penetration, broader industry diversification, and an active mergers and acquisitions strategy.
The ideal candidate will bring a strong track record of building and scaling businesses while instilling operational best practices in entrepreneurial or developing environments. Alternatively, candidates may come from larger organizations where they have demonstrated disciplined process leadership and multi-site management experience, and are now seeking the opportunity to transition into a more agile, entrepreneurial setting as a standalone CEO.
Additionally, the ideal candidate may have demonstrated experience leading an organization through a successful sale or liquidity event. The candidate will bring a strong understanding of value creation levers, financial performance optimization, and investor expectations, ensuring the company is well-positioned to achieve a successful outcome while maintaining operational stability throughout the process.
An attractive compensation package is offered, including a competitive base salary, performance-based bonus, and equity participation.
About Diversified:
Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back.
What to Expect:
At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you.
As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion.
IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED.
The Engineering Leader is responsible for leading the Design Engineering organization across the company and ensuring consistent, high-quality, and profitable project delivery. Reporting to the Vice President of Engineering Operations, this role oversees Engineering Managers and Design Engineering teams, driving accountability, operational efficiency, and technical excellence throughout the project lifecycle.
A core focus of this position is ensuring Design and Project Engineers are positioned to perform their highest-value work-developing client relationships, shaping execution strategies, and ensuring system accuracy and expected functionality. This role partners closely with Engineering Documentation leadership to ensure documentation and support workflows are effectively leveraged, allowing Design Engineering resources to remain focused on technical leadership and client-facing responsibilities.
Responsibilities include, but are not limited to:
- Own the performance, development, and accountability of Engineering Managers leading Design Engineering teams, setting clear expectations and holding leaders responsible for team results, delivery quality, and professional growth.
- Establish and sustain a culture of ownership and accountability across the engineering organization by defining measurable standards for project delivery, documentation quality, and client satisfaction, and addressing performance gaps directly.
- Drive engineering efficiency and profitability by identifying misaligned workflows, reducing non-value-added engineering effort, and ensuring appropriate use of engineering support and documentation resources.
- Partner with Support Engineering leadership to ensure effective utilization of engineering support teams, removing barriers that prevent smooth handoff and enabling Engineers to focus on high-value technical work.
- Ensure Engineers are consistently focused on client relationship development, execution planning, technical accuracy, and system functionality throughout the project lifecycle.
- Maintain visibility into presales pipeline and active project lifecycle status, comparing as-sold versus as-delivered labor, identifying value-engineering opportunities, and supporting financial performance improvement.
- Collaborate with Field and Fabrication Services and Project Management leadership to align engineering capacity with project demand, participating in resource planning and ensuring engineering support meets business needs.
- Establish, enforce, and audit engineering standards and delivery processes that support consistent, high-quality outcomes, reducing variability and improving first-time quality across projects.
- Serve as the senior escalation point for engineering-related issues impacting project delivery or client satisfaction, intervening when projects are off track and guiding recovery plans with responsible managers.
- Provide leadership input on hiring, succession planning, and organizational design for Engineering Manager roles, ensuring alignment with technical requirements and cultural expectations.
- Track, analyze, and act on key engineering performance metrics, including utilization, margin contribution, rework rates, schedule adherence, and client satisfaction, using data to drive continuous improvement.
Required Skills and Experience
- Bachelor Degree Required, preferably in Engineering, Construction Management or related field.
- 10+ years of experience in systems integration, audiovisual engineering, or a related technical field with progressive leadership responsibility.
- 3+ years of experience managing managers or leading large, multi-project technical teams.
- AVIXA CTS, CTS-I, or CTS-D certification.
Demonstrated success improving team performance and delivering measurable business results. - Experience developing, implementing, and enforcing engineering standards and processes at scale.
- Strong understanding of the full project lifecycle from design through commissioning.
- Experience partnering cross-functionally with Sales, Project Management, and Field & Fabrication Services.
- Ability to read and interpret architectural drawings, system schematics, and technical specifications.
- Financial acumen, including labor forecasting, project budgets, and margin impact analysis.
- Strong problem-solving skills with a bias toward action and resolution.
- Effective written and verbal communication skills suitable for executive-level engagement.
What We Offer:
Along with competitive compensation, you will be eligible for the following benefits:
- Multiple medical plan options to suit your family's needs
- Dental (including orthodontic coverage) and vision plans
- Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP)
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401k with Employer Match
- Paid Time Off and Paid Holidays
- Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services
- Commuter Benefits
- And much more
To learn more about becoming part of the Diversified team, visit us at our career siteor email us at .
Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered.
If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you.
Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What we're looking for:
- 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SA1
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$138,905—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
Search Associate
We are seeking a high-motor, intellectually curious Search Associate to join High Country Search Group. This is a foundational, "force-multiplier" role where you will support three of our most dynamic and high-stakes practice areas: Private Equity, Corporate Affairs, and Engineering & Construction. You will act as a strategic partner to our leadership, serving as research and business development support.
Core Responsibilities: The "Phone-First" Professional
While this role offers a masterclass in professional and executive search, it requires a "street smart" professional who can quickly discern criteria for success, has high recall, and excellent follow-through.
- Direct Source Recruiting & Candidate Identification: You will be responsible for candidate identification and development. This includes developing target lists using the phone and online resources to identify and penetrate high-value talent pools.
- Top-of-Funnel Execution: You must be a "phone-first" professional, comfortable making calls when needed. This involves assertively navigating organizational structures to conduct preliminary recruitment screens for high-level roles.
- Market Intelligence & Analytics: You will help produce data-driven reports and compelling pitch decks tailored to specific RFPs. You will proactively identify and track industry trends to provide market data and analytics to our team.
- Search Strategy & Business Development: Actively participate in designing search and business development strategies with leadership, from initial pitch to final candidate placement.
- Database Management: Consistently input and update candidate records and proprietary databases, ensuring all research outcomes are meticulously recorded.
Who You Are
- Educated & Highly Ambitious: You hold an undergraduate degree from a well-regarded institution and have a desire to apply academic rigor to a fast-paced environment.
- Communication Powerhouse: Outstanding telephone skills are essential. You must demonstrate excellent verbal and written communication skills when drafting reports, executive summaries, or specifications.
- Grit & Resilience: You are "hungry" for experience and possess the resilience required to thrive in a high-rejection, high-reward, and often unstructured sales environment.
- Intellectually Curious: You have the ability to quickly learn industry and functional fundamentals and understand the criteria for success in complex organizations.
- Discretion & Poise: You will interface with senior executives and must protect the confidentiality of client and candidate information at all times.
- Money Motivated: You want a career path where hard and smart work result in higher earnings.
The Career Path: Choose Your Own Adventure
We do not believe in a one-size-fits-all career track. This role is a launchpad that, depending on performance, can evolve into:
- Executive Recruiter: Take full ownership of the search process and manage high-level placements.
- Business Development Lead: Focus exclusively on high-level territory expansion and client acquisition strategy.
Market Intelligence Manager: Lead the firm’s data strategy, industry tracking, and knowledge systems.